【论文推荐】华北电力大学刘文霞等：基于机会约束的分布式电源信息-物理优化设备协同规划

原创英文期刊编辑部全球能源互联网期刊 2023-01-17 08:00

摘要

随着清洁能源快速发展，规划信息侧和物理侧的分布式电源优化设备对消纳富余电力与稳定电压波动意义重大，为协同两种优化方式，本文基于电压波动风险的机会约束模型，提出一种考虑分布式电源出力不确定性的分布式电源优化设备协同规划方案，在电压安全裕度内松弛电压波动水平以降低综合成本：首先建立计及主动控制设备成本的设备建设经济性模型；在此基础上，考虑电压波动不确定性的机会约束，建立运行成本的经济性模型；最后，针对模型的非线性问题，提出基于改进差分进化算法的求解方案，通过IEEE-33节点算例仿真验证模型有效性，并分析电压风险、储能价格、机会约束水平对系统的影响，为电力信息-物理系统的设备规划和增量扩展提供决策。

Coordinated Cyber-Physical equipment planning for distributed generation based on chance constrained

基于机会约束的分布式电源信息-物理优化设备协同规划

Hanshen Li¹, Wenxia Liu¹

(1.State Key Laboratory of New Energy Power System (North China Electric Power University), Beijing, P. R. China.)

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Coordinated Cyber-Physical equipment planning for distribut

Abstract

With development of distributed generation (DG), configuration of optimization equipment is crucial for absorbing excess electricity and stabilizing fluctuations. This study proposes a two-layer configuration strategy coordinates active cyber control and the physical energy storage (ES) system. First, an upper economic model is developed. Based on chance- constrained programming, an operation model accounts for inherent uncertainty are then developed. Under constraint of voltage risk level, a lower operation model is developed. Finally, a solution based on differential evolution is provided. An IEEE 33 bus system simulation was used to validate efficacy of model. The effects of risk level, equipment price, and chance-constrained probability were analyzed, providing a foundation for power consumption and expansion of cyber- physical systems.

Keywords

Distribution cyber–physical system, Active control, Energy storage, Distributed generation, Chance-constrained programming.

Fig.1 General framework of model

Fig.2 Economic model for control and ES

Fig.3 Solution flow chart

Fig.4 33-node simulation system

Fig.5 PV and load power curve

Fig.6 Voltage risk with control configuration

Fig.7 Voltage risks under different risk levels

Fig.8 Voltage risks under different ES costs

Fig.9 Costs under different chance-constrained probability

Fig.10 Cost and risk under different confidence probability

本文引文信息

Li HS, Liu WX (2022) Coordinated Cyber-Physical equipment planning for distributed generation based on chance constrained. Global Energy Interconnection, 5(6): 645-654

李涵深，刘文霞 (2022) 基于机会约束的分布式电源信息-物理优化设备协同规划. 全球能源互联网（英文）, 5(6): 645-654

Biographies

Hanshen Li

Hanshen Li obtained his B.S.E. in Electric Power Engineering and Automation from Shanghai Jiao Tong University (SJTU), Shanghai, China, in 2016, his M.E. in Information, Production and Systems Engineering from Waseda University, Tokyo, Japan, in 2017, and his M.E. in Electrical Engineering from SJTU in 2019. Currently, he is pursuing a doctorate in electrical engineering at North China Electric Power University in Beijing, China. His research interests include active distribution planning and operation.

Wenxia Liu

Wenxia Liu obtained her B.S. in Radio Engineering from Nanjing University of Science and Technology, Nanjing, China, in 1990, her M.S. in Power System and Automation from Northeast Electric Power University, Jilin, China, in 1995, and her PhD in Power System and Automation from North China Electric Power University (NCEPU), Beijing, China in 2009. As professor in the School of Electrical and Electronic Engineering at NCEPU, her research interests include intelligent planning of power systems, risk assessment, power communication systems, and reliability and planning for cyber-physical systems.

编辑：王彦博

审核：王伟

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