English Version Journal Login
EN
最新刊期
卷 49 ， 期 6 ， 2025
- 摘要：For the new power system with an increasing proportion of renewable energy, natural disasters not only cause physical and functional damage to power equipment and systems, but also lead to reductions in renewable energy generation or energy storage through changes in primary energy processes and characteristics, resulting in a decrease in its carbon reduction capability and an increase in carbon emissions. Taking reservoir hydropower stations as examples, their primary energy sources are the inflow of water collected from the watershed and the reservoir water with potential energy, which are severely affected by various factors including watershed meteorology, geology and landforms, hydrology and rivers, human activities, human engineering, as well as induced wildfires, heavy rains, floods, landslides, and other multi-hazard events. First, the paper proposes a simulation calculation model for reservoir inflow and flood control scheduling based on the watershed runoff generation and concentration mechanism, revealing the various influence mechanisms of multi-hazards and information errors on this scheduling model. Extensive simulation calculations have unveiled the impacts of watershed meteorology-natural disasters-information on the primary energy processes of reservoir hydropower stations, as well as their effects on power generation, flood discharge, and the increase in carbon emissions from power system generation. The simulation calculation results show that the four types of natural disasters, namely wildfires, heavy rains, floods, and landslides, as well as information errors, significantly increase carbon emissions from reservoir hydropower stations and power system generation, verifying the significant impact of natural disasters on the carbon reduction function of the new power system by altering primary energy processes.关键词：new power system;natural disaster;primary energy;renewable energy;carbon emission;runoff generation and concentration;hydropower station;flood control scheduling3|0|0更新时间：2025-06-16
- 摘要：The electric carbon meter system is an important carrier for realizing real-time and accurate electric carbon measurement. With the deeply implement of the goal of carbon emission peak and carbon neutrality, the requirements for the accuracy and continuity of measurement by electric carbon meter become increasingly stringent. It will be difficult to cope with the increasing requirements only by relying on an independent carbon meter system, and it is urgent to explore the optimal configuration method for the backup carbon meter system. Considering the characteristics of “one hair affecting the whole body” of the electric carbon measurement and the strong coupling relationship between the electric carbon measurement and the power flow, this paper proposes an optimal configuration method of the backup carbon meter system. The method is conducted in a stepwise optimization manner. First, to ensure that the carbon meter system can measure the complete carbon information of the power system, this paper proposes an optimal method to determine the number of backup carbon meter devices with the minimum configuration cost. Then, with the aim of minimizing the measurement error of the backup carbon meter system, this paper proposes a method of optimizing the distribution of backup carbon meter devices. Finally, the simulation test is carried out based on the PJM 5-bus system and the actual power system data of one city in China. The simulation results show that the proposed method can achieve a carbon emission measurement error of less than 0.2% with the minimum configuration cost of the backup carbon meter system, on the premise of ensuring the complete carbon emission information measurement of the power system.关键词：low-carbon power system;electric carbon measurement;electric carbon meter system;carbon emission4|3|0更新时间：2025-06-16
- 摘要：The security domain is an important means for security analysis of integrated energy system, the existing energy flow security region does not consider the possible “high carbon” risk in the operation of the system. Therefore, this paper proposes an energy-carbon security region for integrated energy system considering carbon flow constraints. Firstly, energy flow and carbon emission flow models of the integrated energy system are established. Secondly, the definition of the energy-carbon security region of the integrated energy system is proposed. Then, the energy-carbon security region model of the integrated energy system is established. After that, the method of solving and observing the energy-carbon security region based on binary modified simulation is given. Finally, the validity of the proposed model is verified by the case of an electricity-natural gas coupling system.关键词：integrated energy system;security region;carbon emission;carbon flow constraint;electricity-natural gas coupling system4|1|0更新时间：2025-06-16
- 摘要：With the application of the carbon-emission cap-and-trade mechanism, electricity producers have coupled the electricity market and carbon-emission market, which operate independently, due to their electricity production functions and carbon-emission characteristics. First, in order to show how each market agent in electricity-carbon coupling markets exercises market power and influences market prices in an oligopolistic environment, the conjectural variation coefficient is used to describe its strategic behavior, and a conjectural variation equilibrium model for electricity-carbon coupling markets is established. Then, starting from the definition, it is proved that the essence of the carbon-emission price in the market equilibrium solution is the dual multiplier of the carbon-emission cap balance constraint, reflecting its volatility characteristics determined by the supply and demand of carbon-emission cap. Finally, numerical results from different scenarios in the IEEE 9-bus test system are compared to demonstrate the impact of factors such as transmission line congestion, market competition modes, generation cost, and carbon-emission cap on the market equilibrium. And the incentive effect of the carbon-emission cap-and-trade mechanism on the renewable energy generation and its control effect on total carbon emissions are illustrated taking the actual Gansu power system in China as an example.关键词：electricity market;carbon-emission market;conjectural variation equilibrium;carbon-emission cap4|0|0更新时间：2025-06-16
Power System Analysis and Optimization from Carbon Perspective
- 摘要：The variation of renewable energy power output and loads often exhibit spatio-temporal asymmetry. Designing a reasonable market mechanism to promote source-load interaction is an important direction for the development of electricity market. On the basis of analyzing the existing load adjustment characteristics and operation characteristics of power resources, the necessity of establishing interactive market based on weekly-trading framework is discussed, and a source-load interactive market mechanism based on a weekly-trading framework is proposed. The mechanism divides the day-ahead electric power energy market into the weekly time-scale electric power energy market and the day-ahead electric power energy regulating market for clearing in two phases. The mechanism promotes source-load interaction by announcing electricity price signals in advance, introducing demand side bidding, adopting call auction in the trading declaration stage, and designing reasonable connection and information transmission between various electricity markets. Furthermore, the trading cycle, trading submission form, trading modes, and pricing mechanisms of the weekly time-scale electric power energy market and the day-ahead electric power energy regulating market are designed in detail. Finally, the feasibility of the proposed mechanisms is verified through case analysis.关键词：electricity market;source-load interaction;electric power energy market;multi-time scale3|1|0更新时间：2025-06-16
- 摘要：Transaction mode design is a key issue that needs to be addressed urgently in the substitute power product (SPP) market. The essence of market economy lies in effectively incentivizing individual decentralized decision-making to achieve optimal overall benefits. Based on this, this paper proposes the concept of ideal transactions, which is a transaction mode that can both achieve decentralized decision-making based on “tacit knowledge” and reach economic efficiency comparable to centralized decision-making under complete information. First, the paper analyzes the shortcomings of current electricity market transaction modes, pointing out that their practice of centrally considering individual constraints during clearing is essentially a centralized decision-making mechanism. Then, in view of the strong interconnection between various entities in the SPP market, it proposes a mechanism that guides market entities to make autonomous decisions based on regulating energy prices, and designs transaction modes such as “regulating energy negotiation-substitute energy bidding” and “regulating energy bidding-substitute energy bidding”. Finally, taking the day-ahead spot market as an example, a theoretical clearing model for the SPP market under complete information is constructed. Through rigorous mathematical proof, it demonstrates that the proposed transaction modes can achieve economic efficiency comparable to economic dispatch. This research lays the theoretical foundation for the specific transaction mechanism design of the SPP market and has important theoretical and practical significance for the market mechanism design of new power systems.关键词：new power system;electricity market;substitute power product;transaction mode;ideal transaction;decentralized decision-making4|1|0更新时间：2025-06-16
- 摘要：Renewable energies are being connected to the distribution system in a decentralized manner, posing challenges to the flexibility and adaptability of the distribution system due to their power characteristics and strong randomness. To this end, this paper studies an event-driven differentiated dispatch and control method for the flexible distribution system, simulates the actual operation dynamics of the distribution system and addresses the lack of adaptability caused by the fixed and single operation mode in the complex working conditions. By extracting the intrinsic operation characteristics of the system and considering urgent needs of the distribution network, the dispatch and control demands for the flexible distribution system are divided into typical events such as voltage safety, demand response, stochastic warning, and high operation loss. Various events are independent of each other and have customizable external characteristics. Based on finite state transitions and considering multiple dispatch and control demands, an event-driven mechanism is designed to flexibly regulate resources in the system in real time, realizes the response and processing of system operation events, and achieves differentiated dispatch and control. Simulation analysis validates that the proposed method can flexibly respond to differentiated dispatch and control demands, reduce the probability of voltage overlimit and operation losses, respond to the main network demand, support the integration of large-scale renewable energy, thereby improving the safe and economic operation level of the distribution system, and ensuring the large-scale accommodation of renewable energy on the power distribution and consumption sides.关键词：high proportion of renewable energy;flexible distribution system;flexibility;event-driven;differentiated operation;real-time dispatch and control4|1|0更新时间：2025-06-16
- 摘要：The widespread integration of new sources and loads makes the AC/DC hybrid distribution network a new form of distribution system development in the future. Implementing flexible network interconnection and power mutual assistance through power electronic devices can effectively enhance the resilience of the distribution network and reduce the huge power outage losses caused by extreme disasters. A Nash equilibrium based coordinated planning method for AC/DC hybrid distribution networks is proposed to address the problem of difficulty in balancing the economy and resilience of distribution networks in planning models due to differences in dimensions, magnitudes and scales. Firstly, the influence of DC network on the economics and resilience is analyzed in two scenarios of normal operation and extreme disaster. Secondly, the economics and resilience indicators are described and the method for balancing economics and resilience based on Nash equilibrium is proposed. Finally, the optimal planning model of AC/DC hybrid distribution network is established and solved by taking the balanced economics and resilience as the objective function. Simulation analysis and comparative verification of the proposed method are conducted using actual cases. Results show that the proposed method can give full play to the advantages of flexible interconnection of DC network and enhance the resilience of the distribution network within a reasonable investment limit.关键词：AC/DC hybrid distribution network;resilience;economy;game theory;Nash equilibrium;network planning6|2|0更新时间：2025-06-16
- 摘要：Aiming at the rapid recovery problem after large-scale power outages caused by extreme disaster events, this paper proposes a collaborative optimization method of network reconfiguration and fault repair for resilience enhancement of distribution networks. First, an resilience characterization model of distribution network based on mechanical mapping is constructed by combining the curves of system performance. The expression of the resilience coefficient of the distribution network is derived. And the resilience coefficient of the distribution network is comprehensively quantified by three indicators: system active power shortage, speed of average load recovery, and load average recovery duration. Then, a cooperative optimization framework for network reconfiguration and fault repair is constructed for resilience enhancement. On this basis, the network reconfiguration and fault repair models are established with the minimum load loss and the maximum load recovery after repair completion as the objective functions, respectively. The two models dynamically interact and synergistically optimize to improve the resilience coefficient, so that the distribution network has the minimum performance loss during the recovery process. Finally, the effectiveness of the proposed method is verified by cases of improved IEEE 33-bus distribution system.关键词：distribution network;resilience;resilience coefficient;collaborative optimization;network reconfiguration;fault repair4|3|0更新时间：2025-06-16
- 摘要：With the increase of coupling degree between the communication network and the power system, the fault modes of the distribution network caused by extreme natural disasters are gradually shifting towards cyber-physical composite faults, which brings great risks to the overall operation safety. In addition, few studies consider reducing the load loss cost of the system during the load restoration process by jointly planning capacitor bank (CB) and smart soft open point (SOP) in the distribution network. To address the above-mentioned deficiencies, a reactive power planning method of the distribution network for whole-process resilience enhancement in cyber-physical coupling environment is proposed. Before the disaster, CB and SOP are configured to reduce the scale of direct and indirect faults of the system. During and after the disaster, the controlled states of equipment are analyzed based on the communication reliability theory, and the power equipment is regulated by combining the adjustment of the system communication performance, thereby reducing the load loss cost of the system throughout the resilience process. Considering the differences in the response capabilities of equipment such as CB and SOP, the proposed strategy is modeled as a hierarchical defender-attacker-defender (DAD) model based on the “defense-attack-multi-correction” concept. The results of case simulations show that the proposed planning strategy can enhance the ability of disaster prevention of the system at the reactive power compensation level while taking into account the cyber-physical coupling characteristics.关键词：distribution network;cyber physical system;resilience enhancement;reactive power planning;robust optimization6|1|0更新时间：2025-06-16
- 摘要：In extreme disasters, distribution physical systems and communication systems may be damaged. Therefore, it is a problem worth studying to realize efficient post-disaster cyber-physical coordinated restoration scheduling. In this context, the robust coordinated restoration scheduling framework and mathematical model for cyber-physical distribution system based on wireless field area network (WFAN) communication technology are proposed. First, the way of constructing post-disaster emergency communication network by using WFAN communication technology is analyzed, and cyber-physical dependency coupling mechanism during the restoration scheduling process is revealed. Secondly, the wireless communication routing analysis model, the operation model of active distribution system, the repair crew scheduling model considering the uncertainty of maintenance duration and the cyber-physical dependency coupling model considering the uncertainty of emergency power supply duration of wireless routers are established respectively, and the robust coordinated restoration scheduling framework of the cyber-physical active distribution network considering the uncertainty of cyber-physical sides is proposed. Then, the maintenance-restoration scheduling model based on two-stage robust programming is established, and the column-and-constraint generation algorithm is used to solve it. Finally, a modified IEEE 123-bus system is used to verify the feasibility and validity of the proposed method. The case results show that the proposed method can accommodate the double uncertainty of the physical-side maintenance duration and cyber-side uninterrupted power supply duration of the wireless routers, and realize the efficient coordinated restoration of the cyber-physical distribution system.关键词：cyber-physical distribution system;scheduling;wireless communication;field area network;post-disaster maintenance;system restoration;robust programmng;network reconfiguration;distributed energy resource;uncertainty4|2|0更新时间：2025-06-16
- 摘要：In the existing active restoration strategy for distribution networks, the inherent conflict exists when limited-capacity grid-forming power sources play the role of energy and inertia support at the same time, which leads to insufficient utilization of network resources and poor restoration effect. Therefore, this paper carefully considers the multiple support capabilities of grid-forming power sources, and proposes the active restoration strategy for distribution networks based on spatial-temporal reconfiguration of grid-forming power sources. Firstly, the dispatching concept of reconfiguration of grid-forming power source participating in distribution network restoration is proposed, which takes grid-forming power source as the starting point of partition and collaborates with new energy units to form a multi-zone sustainable power supply situation. Secondly, considering the switching and the uncertainty of the source and load, the frequency indices of the system under dynamic disturbance in the process of partition expansion are analyzed, and the supporting role of grid-forming power sources in inertia, primary frequency regulation and load power is taken into account. Then, to solve the problem of uncertain partition caused by multiple power source reconfiguration, based on the idea of virtual power supply agent, the partitioned network extension model involving multiple grid-forming power sources is established, and the total recovery model is formed by combining the extension constraints. Finally, the results of a numerical case prove the feasibility and superiority of the proposed strategy.关键词：new power system;distribution network;grid-forming power source;spatial-temporal reconfiguration;active restoration;frequency-power support6|2|0更新时间：2025-06-16
- 摘要：To reduce the loss of integrated electricity-gas energy system (IEGS) under typhoon disasters, a load restoration strategy for IEGS considering mobile hydrogen energy storage is proposed. Firstly, the load restoration potential of mobile hydrogen energy storage such as hydrogen powered buses and hydrogen powered ships on the IEGS is analyzed. Combining the spatio-temporal and energy characteristics, the emergency power supply models for hydrogen powered buses and hydrogen powered ships are constructed. Secondly, the coupling characteristics between the power distribution network and natural gas network are analyzed. A cooperative restoration model of IEGS considering the mobile hydrogen storage is established with the objective of minimizing system operation costs. The enhanced second-order-cone relaxation method is used to deal with the operation constraints of the natural gas network. Finally, taking a certain area in Foshan City, Guangdong Province of China, which is vulnerable to typhoons and developed in hydrogen energy along the coast of China, as the case background, the simulation is verified on IEEE 33-bus power distribution network and 7-bus natural gas network, as well as IEEE 123-bus power distribution network and 20-bus natural gas network. The results show that introducing the mobile hydrogen energy storage to participate in the post-disaster emergency power supply can effectively reduce the load loss and total costs, thereby enhancing the resilience of IEGS under typhoon disasters.关键词：integrated energy system;typhoon disaster;hydrogen energy;energy storage;load restoration;enhanced second-order-cone relaxation4|1|0更新时间：2025-06-16
- 摘要：The development of fast power control technologies for renewable energy makes the power adjustment of renewable energy has the potential to participate in the emergency control against overload-dominated cascading failures. However, the existing deep reinforcement learning based emergency control methods against cascading failures do not consider the control strategies combined adjustment and tripping, and there exists a problem of difficulty in converging with large decision spaces. Therefore, an emergency control method combined with adjustment and tripping against cascading failures in the power grid based on the decision space pruning graph deep reinforcement learning is proposed. First, a mapping strategy model combined adjustment and tripping is established, and an emergency control framework against cascading failures is proposed. Subsequently, a decision space pruning model and its learning method based on the graph convolutional deep network are proposed to prune the decision space by retaining the control locations with control contributions through sensitivity. Then, a learning method for the mapping policy model based on the graph deep reinforcement learning is proposed to learn control quantities under the given control locations. Finally, the effectiveness and generalization of the proposed method are verified in the IEEE 39-bus and IEEE 300-bus systems.关键词：new power system;renewable energy;cascading failure;graph deep reinforcement learning;emergency control;decision space pruning5|3|0更新时间：2025-06-16
- 摘要：With the high penetration rate of photovoltaics and other new energy resources, probabilistic analysis is essential due to the gradually increasing randomness of power grids. The methods such as polynomial chaos expansion can obtain the accurate results of probabilistic analysis, but the sample demand and the calculation cost increase exponentially with the increasing number of random variables. To solve this problem, a small-signal probabilistic analysis method for power grids based on low-sample-dependent polynomial chaos expansion is proposed. This method constructs a small number of simulation samples based on the tensor completion model, and the tensor completion algorithm based on improved generative adversarial network is used to extract the distribution characteristics of existing samples and expand the number of samples, so as to reduce the dependence of polynomial chaos expansion on the number of samples. The effectiveness of the proposed method is verified by simulation. The results show that the number of samples can be greatly reduced while ensuring the accuracy of analysis results with the proposed method.关键词：probabilistic analysis;small-signal;stability;polynomial chaos expansion;tensor completion;generative adversarial network4|0|0更新时间：2025-06-16
Basic Research
- 摘要：To solve the problem that the reactive power compensation devices in medium-voltage distribution networks cannot adjust the active power and the feeders need flexible interconnection, this paper proposes a flexible interconnection switch of medium-voltage feeder based on cascaded reactive power compensation. This flexible interconnection switch can simultaneously achieve reactive power compensation within the feeder and flexible exchange of partial active power between feeders, which is suitable for the scenario where there is a fixed reactive power compensation requirement within the feeder and a flexible interconnection requirement between feeders. Firstly, the topology and the working principle of the flexible interconnection switch of medium-voltage feeders based on cascaded reactive power compensation are described. By combining the cascaded static synchronous compensator (STATCOM) with a back-to-back voltage source converter, the cascaded STATCOM has the function of flexible interconnection. Secondly, a control strategy is designed based on the application requirements of reactive power compensation and flexible interconnection devices. The reactive power within the feeder is adjusted through the cascaded STATCOM, and the power flow between feeders is adjusted through the back-to-back voltage source converter. Finally, the effectiveness of the proposed topology and control strategy for the flexible interconnection switch of medium-voltage feeders based on cascaded reactive power compensation is verified through the simulation and experiment.关键词：medium-voltage distribution network;reactive power compensation;flexible interconnection switch;cascaded static synchronous compensator (STATCOM);back-to-back;power flow4|1|0更新时间：2025-06-16
- 摘要：The DC transformer (DCT) is the key equipment for achieving interconnection of multi-voltage-level DC distribution networks, and its control strategy is crucial for the efficient operation of the system and power quality. This paper proposes an optimal operation strategy for DC distribution network considering control mode switching of DCT. Firstly, the topology and control modes of DCT are introduced, and the voltage-current transfer matrices of DCT ports in various control modes are derived. On this basis, combined with network constraint equations, a simplified model of DC distribution network with DCT is established, and the impact of different control modes of DCT on network operation is analyzed. Then, the DCT port transfer matrices in various control modes are embedded into the power flow calculation equations, and an optimal operation strategy for multi-voltage-level DC distribution network is established with the objective function of minimizing system loss, taking into account the constraints of grid safety operation and energy storage, and the solution process is given. Finally, the effectiveness of the proposed optimal strategy is verified by using a modified IEEE DC distribution network case.关键词：DC transformer (DCT);DC distribution network;optimal operation;control mode switching10|2|0更新时间：2025-06-16
- 摘要：The dynamic rating technology for overhead distribution lines can enhance the transmission capacity of the lines on the premise of ensuring safety, and is an economically efficient method to handle short-term peak power transmission. The conductor temperature is one of the core indicators for dynamic rating of overhead lines. Generally, a large number of thermal sensors need to be installed on the lines for collection, but the investment is substantial and difficult to implement. In this paper, an optimization method for dynamic thermal sensing of overhead distribution lines based on the gappy principal component analysis (GPCA)-genetic algorithm (GA) is proposed. It selects the rational positions for thermal sensors on overhead distribution lines, precisely calculates the temperature distribution across the entire line, and reduces the number and investment of thermal sensor installations. Firstly, a current-carrying capacity calculation model considering the insulation medium of overhead distribution lines and a combined reconstruction model of GPCA are established to precisely reconstruct the thermal characteristics of the entire line. Secondly, GPCA-GA is employed to determine the optimal number of sensors and deployment positions, improving the thermal reconstruction accuracy of the distribution lines. Finally, the effectiveness of the proposed method is verified by taking 10 kV overhead distribution lines in a certain area as a case.关键词：distribution network;overhead line;dynamic rating;thermal sensor;configuration;temperature distribution reconstruction;principal component analysis;genetic algorithm5|0|0更新时间：2025-06-16
- 摘要：The high proportion of renewable energy access brings great risks to the safe and stable operation of the power system. Improving the fault ride-through ability of wind turbines can effectively avoid the occurrence of large-scale wind turbine off-grid accidents, which is particularly important for the safe and stable operation of the power grid. First, by analyzing the phasor control theory of pulse-width modulation voltage source converter, it is found that doubly-fed wind turbines in super-synchronous and sub-synchronous operation conditions are prone to the problem of out-of-control of grid-side converters during the transient overvoltage of the power grid, which can not effectively play the role of DC voltage regulation of the converter, and eventually lead to the high bus voltage and trigger protection, which may cause the wind turbine off-grid in serious cases. Then, the power factor angle of the converter is adjusted by the grid-side and the rotor-side converters, and the inductive reactive current is continuously injected into the power grid. The improved control strategy of high voltage ride-through based on the power factor angle adjustment of the converter is proposed by using the voltage division effect of the filter impedance, so as to meet the control requirements of the voltage phasor of the converter and solve the problem that the DC-side bus cannot regulate the voltage. In addition, a more detailed segmented control scheme is developed according to different voltage intervals, which is conducive to the rapid voltage recovery of the power grid. Finally, the accuracy of fault characteristic analysis of doubly-fed wind turbines under transient overvoltage and the feasibility of the proposed improved control strategy are proven by Simulink simulation experiments.关键词：doubly-fed wind turbine;high voltage ride-through;reactive power support;converter;phasor control5|3|0更新时间：2025-06-16
Application 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