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主动配电网储能系统的多目标优化配置
引用本文:尤毅,刘东,钟清,余南华.主动配电网储能系统的多目标优化配置[J].电力系统自动化,2014,38(18):46-52.
作者姓名:尤毅  刘东  钟清  余南华
作者单位:广东电网公司电力科学研究院, 广东省广州市 510080;电力传输与功率变换控制教育部重点实验室, 上海交通大学电子信息与电气工程学院, 上海市 200240
基金项目:国家高技术研究发展计划(863计划)
摘    要:储能系统在平滑间歇式能源功率波动、削峰填谷、改善电压质量以及提供灵活的功率调节等方面都发挥了巨大的作用。主动配电网能否实现对间歇性可再生能源进行完整消纳以及网络优化运行,在很大程度上依赖于主动配电网的储能系统配置是否合理。文中从削峰填谷能力、电压质量以及功率主动调节能力3个方面建立主动配电网储能系统的多目标优化配置模型,并使用带权极小模理想点法求解该多目标优化问题,避免求解多目标规划问题复杂的Pareto前端曲面,简化了问题求解的复杂度。最后,通过算例验证了所提模型及其求解方法的有效性。

关 键 词:主动配电网  储能系统  优化配置  主动调节能力  极小模理想点
收稿时间:2013/7/22 0:00:00
修稿时间:2014/4/28 0:00:00

Multi-objective Optimal Placement of Energy Storage Systems in an Active Distribution Network
YOU Yi,LIU Dong,ZHONG Qing and YU Nanhua.Multi-objective Optimal Placement of Energy Storage Systems in an Active Distribution Network[J].Automation of Electric Power Systems,2014,38(18):46-52.
Authors:YOU Yi  LIU Dong  ZHONG Qing and YU Nanhua
Affiliation:Electric Power Research Institute of Guangdong Power Grid Corporation, Guangzhou 510080, China; Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Abstract:Energy storage systems play an important role in smoothing the power fluctuation of intermittent energy sources. They can also be effectively used to provide peak shaving, voltage quality improvement, and flexible power adjustment. The efficiency of an active distribution network (ADN) to accommodating high penetration of intermittent renewable energy resources and its optimal operation depend on appropriate placement of energy storage systems. This paper develops a multi-objective optimal placement model for energy storage systems in an ADN with the three objectives of peak shaving capacity, voltage quality and power self-regulation capacity. Additionally, a weighted minimum module ideal point method is proposed to simplify the multi-objective programming problem by avoiding the Pareto front. Finally, the case study results demonstrate the effectiveness of the proposed multi-objective optimization model and its solution method.
Keywords:active distribution network  energy storage system  optimal placement  initiative power adjustment capacity  weighted minimum module ideal point
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