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基于智能软开关的有源配电系统运行灵活性提升方法 被引量:6

Improvement of Operational Flexibility for Active Distribution Networks Based on Soft Open Points
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摘要 随着分布式电源广泛接入,配电系统的运行场景更加复杂,给有源配电系统的灵活运行提出了挑战。有源配电系统运行灵活性的基础是系统中接入的各种可控资源。作为新兴的柔性配电装置,智能软开关的广泛接入为灵活性的提升带来很大的潜力。为分析智能软开关对运行灵活性的提升程度,提出了基于智能软开关的有源配电系统运行灵活性提升方法。首先明确了运行灵活性的定义,通过构建多维状态空间,给出状态方程及灵活性提升的量化分析方法;其次,进一步分析智能软开关对有源配电系统运行灵活性的提升作用,给出智能软开关的基本数学模型和提升机理;最后,通过蒙特卡洛模拟法,在改进的IEEE 33节点算例上验证智能软开关对系统运行灵活性的提升程度。 With the high penetration of distributed generators(DGs),it is more complicated for the operational scenarios and puts a higher requirement for the operational flexibility in active distribution networks(ADNs).The operational flexibility of ADNs is based on the controllable resources in it.The increasing integration of flexible resources such as soft open point(SOP)provides opportunities for further improvement of operational flexibility in distribution networks.In this paper,to quantify the improvement of flexibility by SOP,a quantification method of operational flexibility in ADNs is proposed.The definition of operational flexibility is proposed firstly.By constructing a multi-dimensional state space,state equations of operational constraints and an analytical framework for quantifying improvement of operational flexibility are proposed.Then the mathematical expressions of SOP are proposed and the mechanism of improving operational flexibility is discussed.Finally,based on the Monte-Carlo simulation,case studies are performed on the modified IEEE 33-node system to quantify the improvement of operational flexibility by integration of SOP.
作者 徐全 袁智勇 雷金勇 林跃欢 白浩 李鹏 XU Quan;YUAN Zhiyong;LEI Jinyong;LIN Yuehuan;BAI Hao;LI Peng(Electric Power Research Institute of China Southern Power Grid Corporation,Guangzhou 510080,China;Key Laboratory of Smart Grid of Ministry of Education(Tianjin University),Tianjin 300072,China)
出处 《中国电力》 CSCD 北大核心 2021年第11期82-90,共9页 Electric Power
基金 中国南方电网公司科技项目(ZBKJXM20180137)。
关键词 灵活性提升 有源配电系统 可控资源 智能软开关 蒙特卡洛模拟 improvement of flexibility active distribution network controllable resources soft open point Monte-Carlo simulation
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