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最新刊期
卷 48 ， 期 6 ， 2024
- 摘要：Digitalization is a crucial driving force for the development of the new power system. It has become a hot technology that attracts the attention of both academia and industry. In this regard, the editorial office of “Automation of Electric Power System” has organized the special issue of reviews on key technologies for digitalization of new power system, which systemactically introduces a series of technological achievements in basic digitization components of new power systems, edge computing technology, communication security and protection, intelligent scheduling decision-making, and so on. These papers represent the latest technologies achievements and advanced experiences in this field. Based on the overall trend of the digitization development of the new power system, this paper systematically reviews the articles in the special issue according to their research directions, and summarizes the core achievements and viewpoints. It is hoped that the results in the special issue can be presented in a complete way to support the digitalization of the new power system and provide reference for further deepening the related technical research.关键词：new power system;digitalization;edge computing;artificial intelligence;cyber security;cyber-physical-social system4|3|0更新时间：2025-06-16
- 摘要：The large language model (LLM) is a deep learning language model that utilizes large-scale text corpora for pre-training and fine-tuning. Nowadays, it has demonstrated powerful capabilities in generalized quizzing, text generation and scientific reasoning. In this context, this paper explores the construction of artificial general intelligence techniques for power systems based on LLM and prospects its potential applications in power systems. Firstly, the basic principles, neural network architecture, and training methods of LLM are introduced, with a particular focus on its breakthroughs in logical reasoning, programming and code understanding, and mathematical reasoning compared with traditional artificial intelligence models. Then, this paper prospects the potential applications of LLM in the areas of load forecasting and renewable energy generation prediction in power systems, power system planning, power system operation, fault diagnosis and system restoration in power systems, and electricity markets. Finally, the challenges in building an artificial general intelligence technology for the power system based on LLM are elaborated upon, including data quality and accessibility in the power system domain, interpretability of output results, and privacy protection concerns.关键词：large language model;artificial general intelligence;planning and operation;fault diagnosis;system restoration;electricity market16|19|0更新时间：2025-06-16
- 摘要：Distribution network have become one of the most critical and vigorous sectors in developing new power systems. Digital transformation is a widely recognized way to solve the complex operation and control problems of distribution networks. Edge computing is an effective means to utilize the massive data resources and physical resources in digital distribution networks. It also provides a comprehensive platform for implementing operation functions on the edge side, which promotes the development and transformation of the operation architecture for the distribution network. This paper focuses on the digital transformation issues of distribution networks driven by the edge computing technology. The essential technical requirements for edge computing devices in the distribution network are presented. The technical positioning of edge computing and its support to the technical architecture of digital distribution networks are analyzed. Especially aiming at the operation issues of digital distribution networks, starting from three typical features of clustering, distribution, and flexible definition, key issues and technical research directions are summarized and discussed, including typical modes such as edge-side cluster local control, edge-edge cooperative control and cloud-edge cooperative operation.关键词：distribution network;digitization;edge computing;cloud-edge collaboration3|2|0更新时间：2025-06-16
- 摘要：Satellite Internet is a new type of global and all-time network information infrastructure that uses large-scale satellite networking and is supported by aerospace, communication, network, and data technologies. Compared with traditional satellite networks, it offers advantages such as wide coverage, low latency, high bandwidth, and low cost. The challenges faced by new power systems in the construction of information capabilities are analyzed, including wide-area coverage, resilience to damage, and vertical applications. The definition and capability characteristics of high, medium, and low Earth orbit coordination in satellite Internet are refined, and practical pathways of satellite Internet enabling new power systems in areas such as power planning, situational awareness, inspection and maintenance, and disaster prevention and emergency response are proposed. A zero-trust satellite-ground fusion based integrated network information security system is proposed to serve as a foundational reference for the establishment, operation, and advancement of a comprehensive integrated space-air-ground and coordinated communication-navigation-remote-sensing new power system. The new-style productivity level is enhanced.关键词：satellite internet;new power system;integrated space-air-ground;coordinated communication-navigation-remote-sensing;new-style productivity5|0|0更新时间：2025-06-16
- 摘要：The decision-making optimization process of planning, operation, and market operation of new power system presents more variables and more complex constraints. The quantum computing has the characteristics of parallel computation operation and state superposition, which can provide effective ideas for avoiding the “curse of dimensionality”. This paper attempts to explore the theoretic feasibility and application prospect of quantum computing technology for the decision-making optimization of the new power system. First, both advantages and limitations about the application of quantum computing to the decision-making optimization of the new power system is analyzed. A hybrid quantum-classical computing framework for variational quantum decision optimization is constructed. On this basis, the common features of the typical optimization problems in the new power system are generalized to form a unified problem structure, whereafter it is transformed into the energy model that can be described by the qubit system. Subsequently, the quantum approximation optimization algorithm is adopted to find the extreme value of the energy model, and the optimal solution of the original problem is determined. Finally, reflection and prospect are put forward from the perspective of hardware, software, algorithmic framework, and industry development.关键词：quantum computing;new power system;decision-making optimization;variational quantum algorithm;quantum approximation optimization algorithm;mixed-integer programming;distributed computation3|1|0更新时间：2025-06-16
- 摘要：Data-driven has become the core paradigm for the construction and digital transformation of new power systems, and related algorithms have shown superior engineering effects and application potential in multiple power system fields, such as load forecasting, condition-based maintenance, and multi-agent scheduling. However, the actual of engineering data often faces problems such as insufficient and imbalanced samples, which restricts the ultimate effectiveness of data-driven algorithms. Therefore, the few-shot learning is needed to address this challenge. This paper explores the few-shot learning technologies from three levels of data, features, and models. It reviews and analyzes the current application status of related technologies in scenario generation, fault diagnosis, and transient stability assessment of power systems. The shortcomings and challenges faced by few-shot learning technologies in new power systems are further presented.关键词：few-shot learning;data-driven;generative model;transfer learning3|1|0更新时间：2025-06-16
- 摘要：With the construction and development of new power systems, the operation environment of key power equipment has changed, and the operation process is facing more risks. The condition monitoring and diagnosis (CMD) technology of critical power equipment is the guarantees of its normal operation, but there are still shortcomings at present. The sensor chip integrating signal acquisition, data analysis, and information transmission can realize online, real-time, and accurate CMD of key power equipment. Based on the basic concept of the sensor chip for the equipment CMD for new power systems, this paper summarizes the development status of four key technologies of sensing acquisition, signal processing, data analysis, and information transmission of the sensor chip, and points out the challenges faced by the key technologies. Finally, the future research directions of CMD of critical power equipment are prospected.关键词：new power system;power equipment;sensor chip;condition monitoring and diagnosis4|1|0更新时间：2025-06-16
- 摘要：The construction of the new power system involves interaction and sharing of massive and heterogeneous data among multiple business systems, departments, and agents. The internal and external network environment and security situation of power data are becoming increasingly complex, and the vulnerability risk of data circulation increases. First, this paper analyzes the types and characteristics of data flow in the new power system, and summarizes the new situation faced by the security protection of power data circulation. Then, based on the high-performance traffic orchestration and multifunctional security gateway capabilities of the data processing unit (DPU), the ubiquitous security boundary is constructed to enhance the security of power data cross-domain circulation. With the help of data-plane programmable technology, the dual-dimension security capabilities of network security and data security are communicated, and a DPU-based application scheme of collaborative protection technology for the cross-domain data circulation is proposed. Finally, this paper explains the deployment methods, values, and key technologies of DPU at different levels of power communication networks, and analyzes the challenges of DPU application in the power industry at present.关键词：new power system;data circulation;data processing unit (DPU);data security;network security;security protection6|1|0更新时间：2025-06-16
- 摘要：With the development of advanced digital, communication, and Internet technologies, the traditional power system has been transformed into a new power system with digitalization, automation, and efficient management. However, the deep integration of cyber and physical domains makes the network, hierarchy, and components in the new power system more complex, and the frequent access and information interaction of a large number of intelligent electronic devices makes malicious attacks easier, such as data theft and tampering, blocking of communication channels, and damaging key equipment, which poses a great threat to the security, stability and economy of the new power system. This has triggered great concern in the academic community. First, this paper analyzes the structure of the new power system and the potential threats faced by the new power system, and conducts an in-depth analysis of the attack modes to the new power system from the three levels of the control layer, network layer, and physical layer. Then, it summarizes in detail the three-layer security defense methods before, during, and after the attack on the new power system. Finally, the future technological development prospect of the new power system security research is clearly elaborated to provide technical support for the construction of the reliable, secure, and robust new power system.关键词：new power system;cyber-physical attack;attack intrusion identification;defense strategy;cryptography technique5|4|0更新时间：2025-06-16
- 摘要：The digital transformation of distribution networks will further promote the deep coupling of information system and physical systems. Due to the limited information security defense resources of the distribution network, it is difficult to isolate the security risks of the information side from the physical system, which also makes the state estimation of the distribution network face new challenges. Firstly, the architecture of the distribution network cyber-physical system is briefly introduced, and the technical framework of the distribution network state estimation for cyber-physical system is constructed. Secondly, this paper comprehensively reviews the research status of distribution network state estimation technologies at home and abroad on the background of cyber-physical fusion, including the pseudo-measurement modeling and analysis of distribution networks considering cyber-attacks, the analysis and defense of false data injection attacks in the distribution network, and the security risk analysis and reliability assessment of distribution network cyber-physical systems. Finally, the key problems facing the further development of this field are discussed and analyzed.关键词：distribution network;digital transformation;cyber-physical system;state estimation;cyber attack4|0|0更新时间：2025-06-16
- 摘要：The field of distribution network planning looks forward to achieving intelligent planning, with the vision of achieving fully automated planning with no or minimal human intervention. In the context of digital transformation, the planning of new distribution networks will face three challenges, i.e., diversified graphics, fragmented scenes, and large-scale data. Three key technologies are proposed from the perspective of graph-model-data fusion: the graph-model fusion technology based on electrical drawing recognition and topology intelligent analysis, the model-data fusion technology based on knowledge-driven load/renewable energy deduction analysis and intelligent decision-making, and the graph-data fusion technology based on multi-modal data fusion and multi spatiotemporal data fusion, trying to break down the barriers between theoretical research and digital engineering. Finally, the development of digital planning for future new distribution network is considered and prospected, providing a reference for achieving a large closed-loop model of “machine-centric, human-machine collaboration”.关键词：graph-model-data fusion;distribution network;digital planning;knowledge-driven;graph computing4|0|3更新时间：2025-06-16
- 摘要：Building the new power system with renewable energy as the main body is a key measure of the energy and power industry to promote the realization of the goal of “carbon emission peaking and carbon neutrality”. With the large-scale integration of multiple types of power electronic equipment into the system, the efficient collaboration of source-grid-load-storage has made the harmonic pollution intensify and become more complex and variable, presenting a globalized characteristic, which affects the high quality and reliable power supply of the power system. This paper focuses on the harmonic source tracing under the interaction of multiple types of harmonic sources, and deeply integrates the advantages of advanced digital technology in data resources and intelligent collaboration to carry out dominant source identification and harmonic contribution evaluation. First, around the concept of harmonic source tracing, the new challenges and opportunities faced by the new power system on the background of digitalization are analyzed. Then, the current status of harmonic source tracing research is elaborated, and the new development requirements of key technologies are pointed out. On this basis, a cloud-edge-end collaboration strategy of harmonic source tracing is designed by using the technical architecture of digital power grid. Under the background of digitalization, the main technologies of harmonic source tracing in data collecting, mechanism analysis, and collaborative application are described. Finally, this paper prospects the technology direction for the secure, reliable, and flexible development of digital power system in the future.关键词：new power system;carbon peaking and carbon neutrality;digitalization;harmonic source tracing;power quality;cloud-edge-end collaboration4|0|0更新时间：2025-06-16
- 摘要：In the context of building new power systems, the time-series production simulation powered by digital transformation has become an important tool for the operation evaluation and planning decision of new power systems. This paper summarizes the domestic and foreign research results on time-series production simulation, and the applications and solving techniques of time-series production simulation in new power systems. First, the structure and characteristics of time-series production simulation are introduced, and the application scenarios of time-series production simulation are reviewed from the aspects of power quantity balance calculation, quantitative analysis of “carbon emission peak and carbon neutrality” measures, and future power grid form and evolution path. Then, the existing solving techniques of time-series production simulation are classified according to their characteristics, and the limitations of different solving techniques are discussed. Finally, the research of time-series production simulation of new power systems is prospected.关键词：time-series production simulation;new power system;digital transformation;application scenario;solving technique4|1|0更新时间：2025-06-16
Reviews on Key Technologies for Digitalization of New Power System
- 摘要：With the rapid development of renewable energy and the emergence of new market players, the economic dispatching mechanism aiming at minimizing cost and the strategic bidding mode based on marginal pricing are difficult to balance fairness and efficiency when the electricity supply is insufficient. Therefore, based on the basic national conditions of China’s power industry, a marginal cost comparison bidding mode with deep fusion marginal pricing and economic dispatching is proposed. From the four aspects of ensuring power supply, improving market economic efficiency, reducing market risks, and promoting market fairness, the potential application value of the bidding mode in the construction of China’s electricity market is discussed. Finally, based on the simulation platform of the electricity market, the effectiveness of the marginal cost comparison bidding mode is verified.关键词：electricity market;marginal pricing;bidding mode;economic dispatching5|1|0更新时间：2025-06-16
- 摘要：In view of the loss of transmission and distribution cost of power grid enterprises caused by local accommodation of distributed generators, and the current formulation mechanism of transmission and distribution prices can not truly reflect the actual utilization of the distribution network by distributed generators in the mode of “surplus power sent to power grid”, this paper proposes a network fee mechanism design for the distribution network based on the multi-stage investment planning with network-source cooperation. First, according to the load growth situation, taking the investment year and capacity as the decision variables, the planning cycle of distributed generators is divided into several stages. On this basis, the network fee corresponding to each stage is calculated by using the proposed network fee model. The multi-stage planning model with source-network cooperation aims to maximize the main benefits of investors of distributed generators and minimize the loss and voltage fluctuation of the distribution network. The calculation model of network fee is based on key influencing factors, such as the occupation of transmission and distribution assets, the voltage level, and the electrical distance of market-based distributed generation trading. The network fee of distributed generators is constructed, which includes the basic charge, the congestion surcharge, and the cross-subsidy charge. The simulation results show that the proposed network fee mechanism combined with the distributed generator investment planning can guarantee the benefits of the investors and the asset recovery of the distribution network, and can improve the penetration and accommodation rate of distributed generators to a certain extent.关键词：network-source cooperation;network fee;multi-stage investment planning;distributed generator;loss of management right;wind power accommodation4|0|0更新时间：2025-06-16
- 摘要：To effectively exploit the low-carbon flexibility potential of liquified natural gas (LNG) cold energy utilization in ports and give full play to the synergistic optimization effects across multiple time scales, a robust-stochastic bi-layer uncertainty economic scheduling model for port multi-energy microgrid (MEMG) considering the cascade utilization of LNG cold energy is proposed. Firstly, considering the low-carbon flexibility potential of LNG cold energy utilization across each deep cooling-mid cooling-shallow cooling temperature zone, a cold energy cascade utilization model of low-temperature carbon capture, cold energy power generation, and direct cooling is established, and a collaborative carbon processing of capture-storage-utilization is formed on this basis. Secondly, the wind power scenarios considering the temporal correlation of prediction errors are generated based on the equal probability inversion, and the scenarios are reduced by using a 0-1 planning model based on the Wasserstein distance. Thirdly, concerning the characteristic of wind power prediction error increasing with the increase of time scale, a robust-stochastic bi-layer uncertainty economic scheduling model with multi-time-scale optimization is constructed. The upper layer guarantees the robustness of day-ahead pre-scheduling decisions through distributionally robust optimization, and the lower layer guarantees the economic benefits of intra-day rolling scheduling decisions through stochastic optimization. Finally, the simulation results demonstrate that the proposed robust-stochastic bi-layer scheduling model considering the cold energy cascade utilization can not only better solve the contradiction of low prediction accuracy on day-ahead long-time-scale and easy to fall into the local optimum on intra-day short-time-scale, but also provide more economy, low-carbon emissions and power supply flexibility to the port MEMG.关键词：port;microgrid;cold energy;cascade utilization;wind power;temporal correlation;distributionally robust optimization;multi-time-scale optimization;economic scheduling;uncertainty4|0|0更新时间：2025-06-16
- 摘要：Based on the analysis of the dynamics of the doubly-fed induction generator (DFIG) in each stage of the fault, an equivalent method of DFIG-based wind farm considering the low voltage ride-through (LVRT) control is proposed. First, the LVRT control strategy is discussed, and a method for calculating the fault steady-state power flow of the power system with a DFIG-based wind farm is proposed. Under the consideration of the voltage transient process, the mechanism of changes in the rotor current of the DFIG after the short-circuit fault in the external system is analyzed. It is pointed out that the depth of voltage dip and wind power are the dominant factors affecting the short-circuit current, and the state of the Crowbar can be determined by the operation division line. Then, DFIGs in the wind farm are clustered into 3 groups according to the initial wind speed and the Crowbar state, and the equivalent DFIGs and the collection grid are aggregated. To improve the accuracy of the equivalent model in the recovery stage, the power recovery curve of the DFIG-based wind farm is estimated according to the steady-state voltage of the fault. On this basis, the recovery rate of the equivalent DFIGs is piecewise modified. Finally, equivalent calculations are performed on a case system with a DFIG-based wind farm. The simulation results show that the equivalent model effectively maintains the dynamics of the original system in each stage of the fault, simplifies the system, and improves the calculation speed while maintaining high accuracy.关键词：doubly-fed induction generator (DFIG);wind farm;low voltage ride-through;power flow;Crowbar;dynamic equivalence;equivalent model;power recovery4|0|0更新时间：2025-06-16
Basic Research
- 摘要：Under the current electricity market mechanism, the capacity value and physical characteristics of energy storage resources are often difficult to reflect, and the long-term profitability is insufficient. In the context of constructing the new power system, incentivizing energy storage resources to participate in the capacity market is conducive to unleashing the capacity value of energy storage resources and ensuring the long-term reliable operation of the power system. Therefore, an analysis of the research and practice of energy storage participating in the capacity market at home and abroad is conducted and the present situation of energy storage resources participating in typical capacity mechanisms is summarized. On this basis, combined with the development of the electricity market in China and the present situation of capacity mechanism construction, the risks and challenges that energy storage may face in participating in China’s capacity market are discussed. Relevant considerations are proposed from the perspectives of market access, technical standards, product design, trading mechanisms, and so forth.关键词：energy storage;capacity market;capacity mechanism;capacity value;trade mechanism4|1|0更新时间：2025-06-16
Review
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