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作 者:任智君 郭敏铧 郭红霞[1,2] 杨苹[1,2] Ren Zhijun;Guo Minhua;Guo Hongxia;Yang Ping(School of Electric Power,South China University of Technology,Guangzhou 510641,China;Guangdong Key Laboratory of Clean Energy Technology,South China University of Technology,Guangzhou 511458,China)
机构地区:[1]华南理工大学电力学院,广东广州510641 [2]华南理工大学广东省绿色能源技术重点实验室,广东广州511458
出 处:《可再生能源》2019年第11期1643-1649,共7页Renewable Energy Resources
基 金:国家科技支撑计划项目(2015BAA06B02);广东省科技计划项目(2016B020245001)
摘 要:主动配电网中不断丰富的需求侧资源,良好的源荷互动机制可发挥主动配电网中发电资源和需求侧资源的互补特性,促进新能源消纳与成本优化。文章基于源荷互动响应模式提出了一种计及电源-用户互动的分布式电源双层规划方法。该方法上层模型以经济性、环保性、电压质量和安全性综合最优为目标,决策分布式电源的选址定容方案;下层模型以实施互动响应后的年运行成本最小为目标,决策典型日各时段可控分布式电源出力和负荷需求响应功率。文章利用基于改进粒子群的双层规划算法对模型进行求解,以某区域配电网为例,验证了所提出方法的有效性。With the continuous enrichment of demand-side resources in the active distribution network,a good source-charge interaction mechanism can take advantage of the complementary characteristics of power generation resources and demand side resources in the active distribution network to promote new energy consumption and cost optimization. In this regard,based on the source-charge interaction response model, this paper proposes a distributed power bi-level programming method that takes into account power-user interaction. The upper model of the method aims at the comprehensive optimization of economy, environmental protection,voltage quality and safety, and decides the location and capacity of the distributed power supply. The lower model aims at the minimum annual operating cost after implementing the interactive response. The distributed power supply output and load demand response power can be controlled at various times of the day. In this paper,the model is solved by the bi-level programming algorithm based on improved particle swarm optimization. Finally,the effectiveness of the proposed method is verified by a regional distribution network.
分 类 号:TK0[动力工程及工程热物理] TM73[电气工程—电力系统及自动化]
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