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1.华北电力大学电气与电子工程学院,北京市 102206
2.中国兵器科学研究院,北京市 100089
Received:17 July 2019,
Revised:2020-01-15,
Published Online:22 April 2020,
Published:10 June 2020
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刘文霞,杨梦瑶,马铁等.主动配电系统中失联分布式电源差异化就地控制策略优化[J].电力系统自动化,2020,44(11):32-40.
LIU Wenxia,YANG Mengyao,MA Tie,et al.Optimization of Differentiated Local Control Strategy for Distributed Generator with Communication Failure in Active Distribution System[J].Automation of Electric Power Systems,2020,44(11):32-40.
刘文霞,杨梦瑶,马铁等.主动配电系统中失联分布式电源差异化就地控制策略优化[J].电力系统自动化,2020,44(11):32-40. DOI: 10.7500/AEPS20190717005.
LIU Wenxia,YANG Mengyao,MA Tie,et al.Optimization of Differentiated Local Control Strategy for Distributed Generator with Communication Failure in Active Distribution System[J].Automation of Electric Power Systems,2020,44(11):32-40. DOI: 10.7500/AEPS20190717005.
随着主动配电系统中分布式电源渗透率不断提高,配电网运行对信息系统的依赖程度也不断加深。为降低通信故障场景下的电网运行风险,提出一种失联分布式电源差异化就地控制策略的优化方法。首先,基于故障模式后果分析法,建立通信故障场景与链路有效性状态的对应性模型,形成通信故障场景与链路失效对应性关联关系表。然后,考虑通信故障场景和源荷的不确定性,以包含电压越限、潮流过载(失负荷)的综合风险最小为目标,建立了分布式电源差异化就地控制策略的双层多目标优化模型,并采用区间潮流和智能优化算法进行求解。以IEEE 33节点系统作为算例,验证了策略的有效性,并分析了通信系统配置对策略的影响,研究成果可为主动配电系统中失联分布式电源运行策略的制定提供理论支撑。
With the continuously increasing penetration rate of distributed generator (DG) in active power distribution system
the dependence of distribution network operation on information system is being deepened. In order to reduce the operation risks in communication failure scenarios
this paper proposes an optimization method of differentiated local control strategy for distributed generator with communication failure. Firstly
the correspondence model between communication failure scenarios and link states is established based on the failure mode effect analysis (FMEA) method
and the corresponding relational table between communication failure scenarios and link states is formed. Secondly
considering the uncertainty of communication failure scenarios
power generation and load demands
a bi-level multi-objective optimization model of differentiated local control strategies for distributed generators is proposed. It aims at minimizing the comprehensive operation risks
including voltage deviation and overcurrent (load curtailment). Interval power flow and intelligent optimization algorithm are adopted for solving the optimization problem. Finally
the case of IEEE 33-bus system validates the effectiveness of the proposed strategy. The influences of communication system configuration on the control strategies are analyzed. The research results can provide theoretical support for the formulation of the operation strategy of the distributed generator with communication failure in active distribution system.
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