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考虑需求响应与高比例可再生能源接入的主动配电网扩展规划 被引量:25

Expansion Planning for Active Distribution Network Considering Demand Response and High Ratio of Renewable Energy Access
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摘要 随着传统配电网逐渐向主动配电网转型,传统的配电网规划方法已不再适用。为此,研究了需求响应这一主动控制手段应用下的配电网扩展规划问题。首先介绍了需求弹性的相关概念并提出了对价格型需求响应不确定性的处理方法;其次建立主动配电网扩展规划双层模型,在运行层中考虑利用需求响应促进分布式电源消纳,并优化峰谷平电价的制定以充分发挥需求响应的作用,模拟和量化其对规划阶段工作的影响;再次,根据图论相关理论,提出“避圈法”改进配电网络编码方法,生成辐射的网架结构;最后,以某区域配电网为例,验证所提模型的有效性。 Abstract:Along with the gradual transition from the traditional distribution networks to active distribution networks,the traditional planning methods for distribution network are no longer applicable.For this reason,the application of demand-responsive active control to the expansion planning for distribution network is studied.First,the concept of demand elasticity is introduced,and the solving method for uncertainties in the price-based demand response is proposed.Then,a bi-layer model of expansion planning for active distribution network is established,and the use of demand response in the operation layer to promote the consumption of distributed generation is considered;in addition,the pricing of peaks and valleys is optimized to give fully play to the role of demand response,as well as simulate and quantify its impact on the work on the planning stage.Afterwards,according to graph theory,"Break circle method"is proposed to improve the coding method fordistribution network and generate a radiation network structure.Finally,a regional distribution network is taken as a numerical example,which verifies the validity of the proposed model.
作者 朱文广 廖志军 刘洪 张成昊 李映雪 ZHU Wenguang;LIAO Zhijun;LIU Hong;ZHANG Chenghao;LI Yingxue(Economic and Technological Research Institute,State Grid Jiangxi Electric Power Company,Nanchang330043,China;State Grid Jiangxi Electric Power Company,Nanchang 330077,China;Key Laboratory of Smart Grid of Ministry of Education,Tianjin University,Tianjin 300072,China)
出处 《电力系统及其自动化学报》 CSCD 北大核心 2019年第5期84-91,共8页 Proceedings of the CSU-EPSA
基金 国家自然科学基金资助项目(51477116)
关键词 主动配电网 需求响应 消纳能力 双层规划模型 active distribution network demand response consumption capacity bi-level planning
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