全球能源互联网（英文）2022，Vol.5Issue(6)：645-653,9.DOI:10.1016/j.gloei.2022.12.006
基于机会约束的分布式电源信息-物理优化设备协同规划
Coordinated Cyber-Physical equipment planning for distributed generation based on chance constrained
摘要
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.关键词
配电信息-物理系统/主动控制/储能/分布式电源/机会约束规划Key words
Distribution cyber–physical system/Active control/Energy storage/Distributed generation/Chance-constrained programming引用本文复制引用
李涵深,刘文霞..基于机会约束的分布式电源信息-物理优化设备协同规划[J].全球能源互联网（英文）,2022,5(6):645-653,9.基金项目
This work was supported by the National Key R&D Plan(2017YFB0903100)and State Grid Electric Power Co.,Ltd.science and technology project(2021JBGS-03). （2017YFB0903100）
