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考虑重构的含可再生能源配电网电压控制模型与算法
引用本文:廖秋萍,吕林,刘友波,张逸,熊军.考虑重构的含可再生能源配电网电压控制模型与算法[J].电力系统自动化,2017,41(18):32-39.
作者姓名:廖秋萍  吕林  刘友波  张逸  熊军
作者单位:四川大学电气信息学院, 四川省成都市 610065,四川大学电气信息学院, 四川省成都市 610065,四川大学电气信息学院, 四川省成都市 610065,国网福建省电力有限公司电力科学研究院, 福建省福州市 350007,国网福建省电力有限公司厦门供电公司, 福建省厦门市 361000
基金项目:国家高技术研究发展计划(863计划)资助项目(2014AA051901);四川省应用基础研究计划资助项目(2015JY0128);四川省电力电子节能技术与装备重点实验室开放基金资助项目(szjj2014-012)
摘    要:风电、光伏等分布式电源高渗透并入10kV中压配电网,将导致系统运行经济性与电压质量等问题,若不加以有效管控,则难以充分消纳可再生能源。为实现可再生能源接入下配电网电压安全的主动管控,提出兼顾配电网结构灵活性与电压调节资源能力的机会约束双层优化模型。模型上层以配电网动态重构为手段,确保长时间尺度内的经济运行原则;下层以馈线自动调压器控制策略为对象,实现局部支路电压水平优化。为提高算法效率,利用二阶锥法松弛潮流约束,并采用库恩—塔克(KKT)条件将模型等效转化为单层决策模型。算例结果表明,所提方法通过主动重构技术协调局部电压调节资源,可实现可再生能源接入下配电网的电压安全运行控制。

关 键 词:电压控制  机会约束  网络重构  馈线自动调压器  二阶锥
收稿时间:2017/1/19 0:00:00
修稿时间:2017/7/19 0:00:00

Reconfiguration Based Model and Algorithm of Voltage Regulating for Distribution Network with Renewable Energy
LIAO Qiuping,LYU Lin,LIU Youbo,ZHANG Yi and XIONG Jun.Reconfiguration Based Model and Algorithm of Voltage Regulating for Distribution Network with Renewable Energy[J].Automation of Electric Power Systems,2017,41(18):32-39.
Authors:LIAO Qiuping  LYU Lin  LIU Youbo  ZHANG Yi and XIONG Jun
Affiliation:School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China,School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China,School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China,Electric Power Research Institute of State Grid Fujian Electric Power Company, Fuzhou 350007, China and Xiamen Electric Power Supply Company, State Grid Fujian Electric Power Company, Xiamen 361000, China
Abstract:Operation efficiency and voltage risk of distribution networks have arisen along with the increasing penetration of non-determining distributed generators. To enable active voltage management for distributed generator(DG)equipped distribution network(DN), a chance constrained bi-level optimization model is proposed by taking into account the topological flexibility and diverse voltage control resources of DN. The upper level of the presented model aims to ensure long-term economical operation by means of dynamic reconfiguration. The lower level, however, using the step voltage regulator(SVR)as a controllable object, achieves voltage optimization for the local branch. In order to improve algorithm efficiency, the second-order cone relaxation algorithm and Karush-Kuhn-Tucker(KKT)are used to reduce the bi-level planning problem to a single optimization model. The example simulation results show that the method can realize safe operation of distribution network voltage with renewable energy access by active reconfiguration and coordination of local voltage regulation resources.
Keywords:voltage control  chance constraint  network reconfiguration  step voltage regulator(SVR)  second-order cone
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