面向配电网弹性提升的需求响应优化配置策略  

Optimal allocation strategy of demand response for improving distribution network elasticity

作　　者：李志浩 赵波 林达 倪筹帷 秦清 韩蓓[2] 李国杰[2] LI Zhihao;ZHAO Bo;LIN Da;NI Chouwei;QIN Qing;HAN Bei;LI Guojie(Electric Power Research Institute of State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310000,China;Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]国网浙江省电力有限公司电力科学研究院,浙江杭州310000 [2]上海交通大学电力传输与功率变换控制教育部重点实验室,上海200240

出　　处：《电力自动化设备》2022年第7期143-149,共7页Electric Power Automation Equipment

基　　金：国网浙江省电力有限公司科技项目(用户侧可调控资源聚合效能提升与网荷互动技术研究与应用)(5211DS20008J)。

摘　　要：社会和经济的发展对电力系统供电质量提出更高的要求,尤其是与用户相连的配电网易受扰动影响,需加强其供能弹性。随着智能电网技术的发展,通过优化资源配置、灵活调度需求响应资源,可以提高电网供能弹性。采用基于力学映射模型的多阶段弹性评估模型量化需求响应的优化配置对配电网弹性的提升效果,并通过遗传算法求解该非线性优化问题。最后,以IEEE 33节点系统为例验证该模型在需求响应配置问题中的合理性和有效性,并分析优化配置方案对配电网弹性的提升效果。The development of society and economy puts forward higher requirements for the power supply quality of the power system.The distribution network connected with users is particularly susceptible to disturbances,so its energy supply elasticity needs to be strengthened.With the development of smart grid technology,the energy supply elasticity of grid can be improved by optimizing resource allocation and dispatching demand response resources flexibly.The multi-stage elasticity evaluation model based on mechanical mapping model is used to quantify the effect of the optimal configuration of demand response on the improvement of distribution network elasticity,and the nonlinear optimization problem is solved by genetic algorithm.Finally,the IEEE 33-bus system is taken as an example to verify the rationality and effectiveness of the model in the demand response configuration problem,and the effect of the optimal configuration scheme on the improvement of distribution network elasticity is analyzed.

关 键 词：配电网 弹性 弹性力学映射 需求响应 优化配置策略 遗传算法 

分 类 号：TM727[电气工程—电力系统及自动化]