English Version Journal Login
EN
最新刊期
卷 50 ， 期 5 ， 2026
- 摘要：Driven by the goals of carbon emission peaking and carbon neutrality and the strategy of building a national unified electricity market in China, establishing an electricity market that adapts to the new power system is a crucial means to promote the clean and low-carbon transition of the energy structure and to enhance the optimal allocation of power resources. In response to the new demands of developing modern electricity markets, this paper analyzes the applicability of China’s existing electricity market mechanisms, and summarizes the construction goals, key features, and required mechanisms for electricity markets suited to the new power system. On this basis, relevant recommendations are offered for the future development of China’s electricity market mechanisms, along with an evolution path for the electricity market suited to China’s national situation, aiming to build a green-oriented, supply-secure, and flexibility-incentivized market that underpins the development of new power system.关键词：new power system;electricity market;green and low-carbon;power supply assurance;flexible regulation;trading mechanism0|1|0更新时间：2026-08-21
- 摘要：Under the goals of “carbon emission peaking and carbon neutrality”, new energy storage has emerged as a crucial technology for enhancing the efficient utilization of renewable energy and plays a key role in constructing the new power system. However, challenges such as high investment costs, long payback periods, and low utilization rates have hindered its broader adoption. The rapid expansion of new energy storage in Northwestern China has also introduced a series of representative challenges. Therefore, this paper systematically reviews the current state of development and policies related to new energy storage in Northwestern China, including its layout, revenue sources, and existing market rules, while making in-depth analysis on practical issues. Addressing the challenges of cost allocation across multiple sectors, including the power supply side, power grid side, and power consumer side, this paper proposes solutions and policy recommendations under the development framework of “initial reliance on compensation, long-term reliance on the market”, which include optimizing compensation policies, improving market mechanisms, and innovating business models. The study of this paper are expected to provide new insights and valuable references for the future large-scale development of new energy storage in China.关键词：new power system;energy storage;market rule;shared energy storage;business model0|0|0更新时间：2026-08-21
Review·Perspective
- 摘要：Achieving multi-dimensional load optimization and interaction with the power grid while meeting carbon constraints is a problem that energy-intensive industrial users need to solve in the energy management. Therefore, an interactive decision-making method for energy-intensive industrial loads considering load scheduling priorities and carbon emission constraints is proposed. First, starting from the three dimensions of economic benefits, environmental impact, and power system stability, a comprehensive evaluation system for load scheduling is constructed to assess the priority of energy-intensive industrial loads participating in scheduling optimization. Then, an interactive decision-making model of industrial load considering carbon emission cost is proposed, and the enhanced rime optimization algorithm is used to solve the optimization problem, achieving efficient solution and accuracy improvement. The case analysis verifies that the proposed method can effectively reduce the scheduling cost of industrial parks in typical peak-shaving scenarios, and guide energy-intensive industries to reduce carbon emissions.关键词：energy-intensive industrial load;industrial park;load scheduling;comprehensive evaluation system;carbon emission;energy management;interactive decision-making;rime optimization algorithm0|0|0更新时间：2026-08-21
- 摘要：Industry agglomeration zones encompass the entire industrial production process. Their complex industrial chain structures and diversified energy demands offer significant potential for optimal configuration and carbon emission reduction. To this end, an integrated energy optimal configuration method is proposed for the energy demand in the process of service industry agglomeration zones. First, based on the differentiated energy utilization demands in various production stages, the energy supply of the industry agglomeration zones is divided into multiple integrated energy systems that serve distinct industrial processes. Then, taking the system operation economy and carbon emissions throughout the entire industrial production process as optimization objectives, a bi-level optimal configuration model of integrated energy is constructed. Finally, taking a semiconductor industry agglomeration zone as an example and considering the correlation constraints in the processes of energy demands, an improved non-dominated sorting genetic algorithm (NSGA-Ⅱ) by hybrid adaptive crossover-mutation is used to optimize the equipment capacity configuration based on flexible energy utilization in the industrial production. Simulation results demonstrate that the proposed configuration method achieves optimal configuration of multiple integrated energy systems while balancing the operation economy and carbon emission reduction requirements of industry agglomeration zones.关键词：industry agglomeration zone;integrated energy system;carbon emission reduction;correlation constraints;optimal configuration;hybrid adaptive crossover-mutation0|0|0更新时间：2026-08-21
- 摘要：As one of the main bodies of urban electricity consumption, industrial users have complex and variable loads that are highly affected by the user regulation potential. Traditional prediction methods have difficulty accurately estimating the regulation capability of iron and steel industrial users. To balance the uncertainty of load fluctuations and the regular characteristics of power consumption behaviors of iron and steel industry users, a prediction method for the regulation potential of iron and steel industry users based on long short-term memory (LSTM)-Transformer is proposed. This method uses the LSTM network to capture the long-term dependencies of sequences such as adjustable industrial load equipment, maintenance schedules, and user regulation potential samples for feature extraction. Meanwhile, the Transformer module is adopted for position encoding, and a dual-layer multi-head self-attention mechanism is used to capture the relationships among different data attributes and concatenate features, thereby obtaining the regulation potential of industrial users under the influence of multiple factors. The actual operation data of an iron and steel plant in Tianjin, China, are selected to compare the potential values calculated by four models. The experimental results show that, compared with other models, the average error of the proposed model is reduced by approximately 40%, achieving higher accuracy and effectively reflecting the regulation potential of the iron and steel industry users. The proposed model provides strong support for optimal scheduling.关键词：demand response;iron and steel industry;load;regulation potential;electricity consumption;LSTM-Transformer model;multi-head self-attention mechanism0|0|0更新时间：2026-08-21
- 摘要：Emergency control plays a crucial role in the safe and stable operation of power systems. The inherent communication delays in traditional emergency control architectures are detrimental to frequency recovery, and the current emergency control measures such as load shedding and DC current modulation, have a significant impact on power users and the frequency of sending-end power grids. To address these issues, an emergency control strategy is proposed based on frequency drop rate detection. First, the shortcomings of traditional event-triggered frequency emergency control architectures are analyzed, and an emergency control architecture based on frequency drop rate detection is introduced. Next, based on traditional measures such as load shedding, DC current modulation, new control sources and control measures, such as regulable electrochemical energy storage and industrial load in the electrolytic aluminum smelting, are considered. And the regulation characteristics models for multiple control resources are established. Then, an optimization model for collaborative frequency emergency control considering multiple control resources is developed to calculate the control settings for emergency control. Finally, considering the scenarios of system operation changing states, an intraday rolling correction model for frequency emergency control strategy is established. Simulation validation of the proposed control strategy is conducted. The results shows that the emergency control strategy can reduce the timeliness requirements for distributing control settings, shorten trigger delays, and improve the dynamic frequency characteristics of systems, contributing to safe and stable operation of systems.关键词：high-voltage direct current;receiving-end power grid;load;frequency safety;electrochemical energy storage;emergency control;multi-resource collaboration0|1|0更新时间：2026-08-21
Power Supply and Demand Interaction for Re-electrification in Industrial Production Processes
- 摘要：Based on the framework of substitute power product (SPP) market, this paper focuses on the marketization of regulation capacity and conducts in-depth exploration of the regulating energy trading mechanism and the coordinated bidding method for substitute energy and regulating energy. Firstly, the necessity and theoretical challenges in regulation capacity marketization are analyzed. It is pointed out that under the traditional time-of-use trading mechanism, the regulation capacity is neither separately priced nor easily quantifiable, exhibiting significant negative externalities, which fundamentally constrains the enhancement of regulation capacity in new power systems. Secondly, the formation processes of substitute power products and regulation contributions are unified and summarized as the generation process of regulation demand. A regulation demand formation model, a method for generating system regulation demand curves, and a regulating energy trading clearing mechanism are proposed. Finally, the coordinated bidding process of the SPP spot market based on regulating energy trading is elaborated in detail. This process includes single-round substitute energy trading and multi-round regulating energy trading, with each round cleared according to the equal incremental rate criterion, ensuring the process is simple and transparent. Case studies show that, compared with the traditional time-of-use trading mechanism, the SPP spot market achieves lower electricity purchase costs in the same scenarios and establishes a positive incentive mechanism for system flexibility enhancement through regulating energy trading.关键词：new power system;electricity market;substitute power product (SPP);coordinated bidding;regulating energy trading;spot market;clearing mechanism0|0|0更新时间：2026-08-21
- 摘要：With the large-scale promotion and application of electric vehicles (EVs), EV clusters have attracted significant attention as a highly promising emergency reserve resource.However, in the engineering applications of EV clusters participating in emergency reserves, challenges such as uncertainties in vehicle to grid (V2G) interaction scenarios, complex coupling constraints of EV reserves, low credibility, and insufficient market support mechanisms remain.To this end, a V2G interaction architecture covering behavior layer, device layer, and platform layer is first proposed from the “cyber-physical-social” dimensions. Then, in response to the uncertainty of power deficient events, market rules applicable to various scenarios of power deficient events are designed, and a rolling optimization decision-making process is proposed that coordinates day-ahead preventive multi-scenario risk optimization with intra-day contingency regulation. Furthermore, with the objective of maximizing the profits of aggregators, an optimization model for dispatching strategies is built based on prevention and emergency coordination when EV clusters participate in the reserve market. Finally, the adaptability of various market rules and the effectiveness of the optimization models are verified through case simulation and sensitivity analysis. Effective and feasible solutions are provided for EV clusters to participate in emergency reserve in terms of interaction architecture design, market rule design, and optimization of charging and discharging strategies.关键词：cyber-physical-social system in energy (CPSSE);electric vehicle;emergency reserve;uncertainty;market rule;dispatching strategy;preventive control;emergency control0|0|0更新时间：2026-08-21
- 摘要：To accurately quantify the ability of energy-intensive loads (EILs) to support the flexible operation of power systems with a high proportion of renewable energy, this paper proposes an assessment method for peak regulation and reserve potential of EILs considering the spatiotemporal balance of flexibility supply and demand. First, refined models for electrolytic aluminum and electric arc furnace loads are developed to characterize their power regulation features under peak regulation operation. Considering the coupling between peak regulation and reserve provision, reserve flexibility supply models are established accordingly. Second, the transmission process of grid flexibility supply and demand is analyzed. Models for quantifying and transmitting flexibility supply and demand are established, and the spatiotemporal balance conditions for system flexibility are proposed. Then, from the system operation perspective, response potential indices for EIL are constructed by accounting for the spatiotemporal characteristics of flexibility supply and demand. The system flexibility shortage index is introduced as an optimization variable. Based on operational simulation, an evaluation model for peak regulation and reserve potential of EIL is developed under spatiotemporal balance constraints of flexibility supply and demand, enabling time-series assessment of their peak regulation capability and reserve potential. Finally, an modified IEEE 30-bus system is used for simulation validation. The simulation results show that the proposed assessment method can provide more accurate data references for grid planning and dispatching departments.关键词：renewable energy;energy-intensive load;flexibility;peak regulation;spatiotemporal balance;potential assessment0|0|0更新时间：2026-08-21
- 摘要：The harmonic linearization method is an extensively utilized method in the field of broadband oscillation analysis of new power systems. However, the problem of unclear applicability arises in the application of this method. To this end, the harmonic linearization method is analyzed from the perspective of Hilbert functional. Firstly, the existing real physical systems can be abstracted as an idealized two-terminal algebraic-component system. Aiming at the orthogonality issues of multi-frequency inputs, combined with the Hilbert basis defined by the greatest common factor, the mathematical essence of harmonic linearization method is explained, which is the projection of high-dimensional function space to low-dimensional subspace. Secondly, the harmonic linearization method is explained to describe the approximate linear characteristics of the system in the desired base direction, which is different from the traditional linearization method. Thirdly, it is illustrated that the harmonic linearization method is only an approximate analysis method. The stability of the concerned components of the approximate system cannot guarantee the stability of the original high-dimensional system or the components that are not concerned. Meanwhile, the applicability of the method is analyzed in the bounded-input bounded-output (BIBO) system, the small gain stable system and the grid-connected converter system, Finally, a norm-based evaluation method is given for evaluating the approximation degree of harmonic linearization of polynomial systems.关键词：new power system;broadband oscillation;harmonic linearization;Hilbert functional;projection;approximate analysis method;polynomial system0|0|0更新时间：2026-08-21
- 摘要：The transient synchronization stability issue of grid-following converters has attracted widespread attention. However, while most of existing studies ignore the influence of coupling between different control loops on the transient synchronization of converters. To this end, this paper discusses in detail the coupling effects between the voltage outer loop and the phase-locked loop (PLL) during the transient synchronization process, and proposes a new insight into the transient synchronization stability mechanism of the grid-following converter. Firstly, considering the dynamic variations of the proportional-integral (PI) control in the voltage outer loop and the current-limiting control, this paper establishes a transient synchronization stability analysis model for grid-following converters considering the coupling between the voltage outer loop and the PLL. Secondly, the coupling influences among the DC voltage control, the AC voltage control, the current-limiting control, and the PLL are comprehensively explored. Three forms of coupling effects are sorted out, and analytical expressions for the equivalent mechanical torque and the equivalent damping under various coupling effects are derived. Thirdly, two types of transient synchronization instability that consider the coupling between the voltage outer loop and the PLL are proposed. One is the absence of a stable equilibrium point, and the other is the mismatch between the acceleration area, deceleration area, and energy dissipation of the equivalent damping during the transient process. Thus, the mechanism of transient synchronization instability of the converter during the current-limiting period is systematically revealed. Finally, the correctness of the theoretical analysis is verified through simulation.关键词：grid-following (GFL) converter;transient synchronization stability;voltage outer loop;phase-locked loop (PLL);coupling;equal area criterion;current-limiting control0|0|0更新时间：2026-08-21
- 摘要：With the increasing scale for grid-connected system of wind power clusters, the varying operation conditions of various permanent magnet synchronous generators (PMSGs) and the dynamic energy coupling interactions within clusters make traditional energy function methods inadequate for accurately characterizing transient instability mechanisms in multi-machine grid-connected system, which leads to conservative stability region assessments. To address this issue, a modeling method for multi-machine cut-set energy function based on internal voltage reconstruction is proposed. By constructing self-coupling and mutual-coupling terms in the cut-set energy function, the complex energy interactions are represented precisely among PMSGs, clusters and the grid. The impact of coupling mechanisms on transient synchronization stability is analyzed. Then, for the non-convex cut-set energy function of multi-PMSG systems, the McCormick method is employed to perform structure-preserving convex relaxation. The effective convex envelopes for non-convex energy function are achieved. The transient synchronization stability boundary is estimated with Lasalle’s invariance theory. Finally, a PMSG-based wind farm model is developed in MATLAB/Simulink platform. Simulation results show that the proposed method has low conservatism, a wide stability region and clear physical interpretability in transient synchronization stability analysis for grid-connected system of wind power clusters.关键词：permanent magnet synchronous generator;wind power cluster;grid-connected system;transient synchronization stability;cut-set energy function;convex envelope;stability region0|0|0更新时间：2026-08-21
- 摘要：With the large-scale integration of DC sources and loads such as distributed photovoltaics, electric vehicles, and data centers, the coupling effects between multiple converters and different control loops within AC/DC distribution systems have progressively intensified, posing significant challenges to system dynamic behaviour and stability analysis. Most existing studies are conducted only on a single timescale, with little consideration given to the impact of interactions across different timescales on the dynamic characteristics of the system. First, this paper takes AC/DC power distribution systems as the research object, establishing an AC/DC distribution system model that accounts for interactions between control systems. Then, the quantitative evaluation indices for control system interactions are established through multi-timescale partitioning and residue decomposition. The influence of different parameters variations on the strength of interactions and the system dynamic characteristics is visually illustrated via stability region analysis. Finally, the theoretical analysis is verified through software simulation and hardware-in-the-loop experiments.关键词：AC/DC distribution system;stability region;interaction;timescale;quantitative evaluation0|0|0更新时间：2026-08-21
- 摘要：The large-scale integration of renewable energy units and high-end manufacturing users into distribution networks has raised higher requirements for power quality issues such as voltage sags. Existing stochastic assessment methods for voltage sags are only applicable to traditional power systems dominated by synchronous generators, and fail to simultaneously consider the impacts of factors including the stochastic output of renewable energy units, low voltage ride-through (LVRT) control, and changes in the grid-connected status of units, leading to poor accuracy of assessment results. Therefore, this paper proposes a stochastic assessment method for voltage sags in active distribution networks considering the photovoltaic stachastic output and dynamic response. First, taking into account the spatio-temporal correlation of multiple photovoltaic units, a time-varying vine structure is adopted for probabilistic modeling and scenario generation of photovoltaic output. Second, a voltage sag characteristic assessment method based on partitioned iterative short-circuit current calculation is proposed, and the tripping sequence of different units is estimated according to voltage sag characteristics, ultimately achieving accurate assessment of voltage sags under various response states of photovoltaic units. This paper quantitatively analyzes the impacts of the random output of renewable energy units, the dynamic response process of LVRT, and the grid-connected status of units on the assessment accuracy of voltage sag characteristics. Moreover, case studies on multiple test systems verify that the aforementioned influencing factors are no longer negligible in the voltage sag assessment of active distribution networks, and the proposed method is significantly superior to the traditional assessment methods for synchronous generators in terms of both accuracy and computational efficiency.关键词：active distribution network;voltage sag;power quality;photovoltaic;stochastic output;low voltage ride-through (LVRT);dynamic response0|1|0更新时间：2026-08-21
- 摘要：State estimation in power systems provides comprehensive, reliable, and accurate real-time operation data to ensure the safe operation and coordinated control of the power grid. The theory-driven state estimation algorithm based on the weighted least squares (WLS) method has demonstrated significant success in historical applications. However, it exhibits limitations in convergence properties and computational complexity when confronted with contemporary power grid scenarios characterized by heightened complexity and variability. Meanwhile, purely data-driven state estimation methods based on artificial intelligence need to be improved in terms of interpretability and generalization, as their accuracy is limited by the absence of physical mechanism constraints. To address these challenges, this paper proposes a power system state estimation method driven by physical mechanisms and data. The approach employs a gated graph convolutional neural network that incorporates node positional embedding to model grid characteristics and topological relationships, facilitating information propagation between nodes. Measurement equations are incorporated as physical mechanism constraints into the loss function to regularize the model learning process. Extensive experiments are conducted on IEEE standard test cases, along with real-world data from a 25-bus power grid in a certain local area and an actual 1 800-bus power grid in a certain province. The results demonstrate that the proposed method achieves superior performance in convergence, estimation accuracy, generalization capability, and computational efficiency. Furthermore, this work provides valuable insights and references for implementing artificial intelligence methods driven by physical mechanisms and data in energy management systems.关键词：power system;state estimation;artificial intelligence (AI);graph neural network (GNN);message passing;physical mechanism0|0|0更新时间：2026-08-21
- 摘要：With the large-scale integration of renewable energy, the rapid regulation capability of hydropower and the stable support capability of thermal power still remain the core resources for ensuring the secure and economic operation of the power grid under scenarios of high renewable energy penetration. However, the uncertainty of renewable energy and the time-coupled constraints significantly increase the complexity of hydro-thermal-renewable energy coordinated scheduling. Traditional optimal scheduling methods can hardly balance computational efficiency and optimality. To overcome this issue, a deep stochastic dual dynamic programming algorithm based on Benders decomposition method is proposed. Firstly, the hydro-thermal-renewable energy coordinated scheduling is formulated as a multi-stage stochastic programming model to characterize the feature that stochastic variables are revealed sequentially, and Benders decomposition method is applied to separate integer and continuous variables, thereby reducing the solution difficulty. Secondly, a fully input convex neural network is introduced to efficiently approximate the value function, which improves approximation ability and computational efficiency while ensuring algorithmic convergence. Finally, case studies on systems with different scales are carried out to verify the feasibility and scalability of the proposed algorithm, and the results demonstrate that the proposed algorithm significantly improves approximation accuracy and solution efficiency and quality.关键词：coordinated scheduling;hydropower;thermal power;renewable energy;multi-stage stochastic programming;stochastic dual dynamic programming;Benders decomposition method;neural network0|0|0更新时间：2026-08-21
-
Extreme Scenario Generation Method for Joint Wind-Solar Power Output Based on Probability Regulation
摘要：To address the issues of insufficient extreme samples and inadequate quantification of relative extremeness in the extreme scenario generation for renewable energy output, this paper proposes an extreme scenario generation method for joint wind-solar power output based on probability regulation. Firstly, multiple extremeness measurement approaches are defined based on the characteristics of renewable energy output, and an iterative method is employed to transfer the extreme value distribution of the dataset, thereby enhancing the tail-end extreme samples. Secondly, leveraging the peak-over-threshold (POT) model in extreme value theory (EVT), the generalized Pareto distribution (GPD) is utilized to construct a probability model for extreme scenarios. By incorporating extremeness probabilities, this method quantifies the relative extremeness of samples, improving both the interpretability of the model and the precision of extreme scenario generation. Finally, a conditional multi-channel deep convolutional generative adversarial network with gradient penalty (C-MCDCGAN-GP) is integrated to generate extreme scenarios of joint wind-solar power output under given extremeness probabilities. Case studies demonstrate that the proposed method achieves high conformity at the extremeness level of scenarios generated with extremeness probability under various extremeness measurement models. Additionally, it effectively captures the joint characteristics of historical extreme wind-solar power output data, thereby meeting the requirements for graded evaluation of output scenarios at different extremeness levels in power systems.关键词：renewable energy;scenario generation;extreme value theory;joint wind-solar power output;distribution transfer;generative adversarial network2|0|0更新时间：2026-08-21 - 摘要：The restoration decision-making of the electricity-gas integrated energy system helps coordinate the restoration capabilities of multi-energy systems and reduce the losses and impacts of power outages. Firstly, this paper fully considers the operation sequence and operation time constraints of the lines during the restoration process in the distribution network, and establishes a sequential restoration path model of the distribution network considering the electric domain fusion. Secondly, by taking the maximum income of user participation in integrated demand response (IDR) as the objective function and comprehensively considering the impact of outage duration and user response willingness on the IDR incentive price, this paper establishes the relationship between the incentive price for demand response and the nodal IDR response volume during the restoration process. On this basis, this paper develops a restoration optimal decision-making model for the electricity-gas integrated energy system that maximizes the restoration net income while comprehensively accounting for bidirectional electricity-gas coupling characteristics. Finally, the proposed method is validated by the electricity-gas integrated energy system constructed in IEEE 33-bus power grid and 20-node gas network. The results show that the consideration of electric domain fusion can fully utilize the energy supply capability of various energy supply resources and the IDR can increase the solution space of the restoration decision, thereby further increasing the restoration net income of the system. Meanwhile, in the process of restoration decision-making, optimizing the incentive price for IDR not only guarantees user willingness to execute, but also effectively reduces the compensation cost for the system to conduct IDR.关键词：integrated energy system;electric domain fusion;integrated demand response;response willingness;restoration;net income0|0|0更新时间：2026-08-21
- 摘要：A rational multi-resource configuration method for railway power conditioner (RPC), photovoltaic, and hybrid energy storage can effectively enhance the operational performance and investment benefits of integrated traction power supply systems. However, the existing configuration method based on long time-scale data (1 h, 1 min) for a single station fails to leverage the advantages of multi-station coordination. And it is difficult to balance the second-level fluctuation smoothing and efficient solution of traction load, resulting in low system operation economy, reliability, and resource utilization. Based on this, this paper proposes a multi-station collaborative configuration strategy for the integrated traction power supply system based on load data frequency decomposition. Firstly, based on low-frequency traction load data (sampled at 10 s intervals), an optimal siting and sizing scheme for photovoltaic, hybrid energy storage, and RPCs is proposed to minimize the composite configuration cost. Secondly, based on high-frequency traction load data (sampled at 1 s intervals), the rated power and capacity are reallocated between batteries and supercapacitors in the hybrid energy storage system, considering both battery life loss and load fluctuation mitigation effectiveness. Finally, the proposed configuration strategy is validated by actual measurement data from three substations along an actual railway line in China. The results demonstrate that the multi-station collaborative configuration strategy can achieve inter-station energy coordination through RPCs, enabling efficient utilization of both photovoltaic and regenerative braking energy while maintaining good investment economics. Moreover, the proposed hybrid energy storage reallocation strategy is highly effective in suppressing traction load fluctuations.关键词：electric railway;traction power supply system;multi-station collaborative configuration;data frequency decomposition;hybrid energy storage;load0|0|0更新时间：2026-08-21
Basic Research
- Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19
京公网安备11010802024621 - It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
- Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
0