The selection results of Excellent Papersof“Power System Automation” in 2020 were announced recently. Five papers from the Department of Electrical Engineeringand Applied ElectronicsandtheEnergy Internet Innovation Institute wereenrolled.Candidates for the excellent papersin 2020are articles published on CNKI in 2020 (including priority publication) by “Power System Automation”. The selection process is divided into three links: preliminary review by the editorialoffice, review by the review committee, and review by the editor-in-chief.The papers were reviewed byqualitative evaluation and bibliometric statistical quantitative evaluation, the quantitative evaluation is mainly based on the corresponding citation data and downloadsfrom CNKI,the qualitative evaluation wasmade by the excellent paper review committeeofthe editorial department, and a total of 30 excellent papers were selected.

Excellent Papersin 2020

1. First prize

Active distribution network energy management and distributed resource cluster control

Authors: Wu Wenchuan; Zhang Boming; Sun Hongbin; Wang Bin; Yang Yue; Liu Haotian; Lin Chenhui; Wang Siyuan

Unit: State Key Laboratory of Power System and Power Generation Equipment Control and Simulation (Tsinghua University); Department of Electrical Engineering and Applied Electronics, Tsinghua University

If the traditional centralized control and decision-making system isused inan active distribution grid incorporated with alarge number of distributed resources, it will involve withproblems of control agility, system reliability, massive communication and information privacy.This paper has designed asystem structure of active distribution network energy management and operation regulationcharacterized in“cluster self-discipline — inter-cluster coordination — transmission and distribution coordination” and developed the corresponding system. Then, it focuses on the features and key technologies of this cluster control and multi-level coordination regulation system: (1) active distribution grid network analysis technology; (2) distributed cluster regulation technology; (3) active and reactive power coordination and optimization technology for distribution grid in consideration of uncertainties; (4) distributed coordination and dispatching technology for transmission and distribution grid. Finally, it briefly introduces the application effect of the system in the high-proportion distributed renewable energy distributiongrid, and the orientation offuture research.

2. Second prize

Inheritance and Development of Current Research Subjects on Energy Internet and Smart Grid

Authors: Wang Yongzhen; Zhang Ning; Guan Yonggang; Zhao Wei; Zhang Jing; Gao Feng; Kang Chongqing

Unit: Energy Internet Innovation Research Institute of Tsinghua University; State Key Laboratory of Power System and Power Generation Equipment Control and Simulation (Tsinghua University); National Natural Science Foundation of China

Energy Internet is an emerging field in which cold, heat, electricity, and gas are highly integrated in physical flow, information flow and value flow. The funding status of the National Natural Science Foundation of China reflects the research trend and focus of China energy Internet and related concepts from bottom to top.This paperanalyzes the approval status of the National Natural Science FoundationforChina Energy Internet and related fields in the past 10 years from the research direction, number of approvedprojects,distribution of universities, and distribution of types.Itshows that driven by the energy transition and Internet technology, the energy Internet has gradually shifted from research on “smart grids” based on “electricity” to “cold, heat, electricity, and gas” coupled research;powerful colleges and universities with disciplines of“Electrical Science and Engineering”and“Engineering Thermophysics and Energy Utilization” havedemonstratedtheir advantages in the research of the Energy Internet, leading the basic research on the theories and application of the Energy Internet. Furthermore, the distribution of disciplines funded by the Energy Internet Fund reflects theintegration of the above two disciplineswith otherdisciplines such as electronics and information systems, computer science, automation, management science and engineering, mathematics, building environment and structure, macro management and policies, etc.

Overview and Prospects of Seasonal Energy Storage for Power Systems with High Proportion of Renewable Energy

Authors: Jiang Haiyang; Du Ershun; Zhu Guiping; Huang Junhui; Qian Minhui; Zhang Ning

Unit: State Key Laboratory of Power System and Power Generation Equipment Control and Simulation (Tsinghua University); Economic and Technical Research InstituteofState Grid Jiangsu Electric Power Company; State Key Laboratory of New Energy and Energy Storage Operation Control (China Electric Power Research Institute Co., Ltd.)

As the proportion of renewable energy sourcesincorporatedto the gridkeeps increasing, the development of energy storage technology has received extensive attention. Seasonal energy storage, as an emerging energy storagemeans to realize large-scale energy transfer in long termand extensive space, and is an important technology for absorbing a high proportion of renewable energy. This paperintroduces the typical types and development status of seasonal energy storage technology, summarizes the technical performance and key characteristics of various seasonal energy storage, from seasonal energy storage modeling, flexible operation analysis, energy storage capacity demand analysis and benefitsevaluation, seasonal energy storage optimization planning, long-term and short-term coordinated operation and reasonable configuration ofenergy storage, etc.,analyzes thekey scientific issues and challenges of seasonal energy storage research for high proportion of renewable energyin long-term scale, multi-energy form and cross-spacescope, looks into the futureissues that need to be solved in the refined modeling, coordinated planning, operation control and integrated energy market of seasonal energy storage, so as toprovide reference for future research.

3. Third prize

Summary andOutlook of Research on DistributionGridPlanning Considering Flexible Load Access

Authors: Qi Ning; Cheng Lin; Tian Liting; Guo Jianbo; Huang Renle; Wang Cunping

Unit: State Key Laboratory of Power System and Power Generation Equipment Control and Simulation (Tsinghua University); China Electric Power Research Institute Co., Ltd.; State Grid Beijing Electric Power Company

This paper analyzesthedemand ofcurrentdistributiongridplanning, and established the important role of flexible load resources in the planning.It proposes the classification method and classification result of flexible loadsinenergy interaction mode, dispatch response mode, user anddevice types. In view of the impact of flexible load access on distributiongridplanning,it analyzesthe adaptability and shortcomings of the existing planning methods in load forecasting, power balance, planning optimization, and planningscheme evaluation, andproposedcorresponding improvement ideas andrecommendations. Finally, it summarizes new key technologies such as flexible load modeling, distribution big data mining and application, andconcludes the future ofdistributiongridconstruction and development.

Generalized Circuit Analysis Theory of Multi-energy Network——(1) Branch Model

Authors: Yang Jingwei; Zhang Ning; Kang Chongqing

Unit: State Key Laboratory of Power System and Power Generation Equipment Control and Simulation (Tsinghua University); Department of Electrical Engineering and Applied Electronics, Tsinghua University

The complementation and coupling of multiple energy formsare of great value to the integration of multi-energy systems, but different energy forms follow different physical laws and mathematical representations, which bring challenges to comprehensive analysis and collaborative optimization. Based on the Laplace transform, a powerful tool for analyzing the dynamic process of the system, this paper proposes a generalized circuit analysis theory for multi-energy networks. First,it establisheda unified mathematical equation of the energy flow in the branch layer ofthe multi-energy network, a generalized circuit modeling method based on the Laplace transform to convert the complex transmission characteristics of the multi-energy network in the time domain into a simple algebraic problemin theLaplace domain, and adistributed parameter circuit model of energy flow of each energy system, andfurther introduces a branch layer energy flow concentrated parameter transmission model with “branch” as the overall unit. The generalized circuit branch model of the multi-energy network proposed in this paper can scientifically analyze thestatic and dynamic characteristics of the energy flow of the branch layer, reveal the commonality of the energy flow of the multi-energy network, and layafoundation for the analysis of the whole network of the multi-energy system.