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计及多类型需求响应资源的配电网分布式电源优化配置
引用本文:赵楠,王蓓蓓.计及多类型需求响应资源的配电网分布式电源优化配置[J].中国电力,2019,52(11):51-59,67.
作者姓名:赵楠  王蓓蓓
作者单位:东南大学 电气工程学院, 江苏 南京 210096
基金项目:国家自然科学基金资助项目(71471036)
摘    要:近年来主动配电网运行中分布式电源与需求响应资源所占比重越来越大。为了充分利用配电网资源,主要研究间歇性分布式电源(DG)与配电网中多类型需求响应资源(DR)的协同规划。通过建立基于机会约束规划方法的双层优化模型,根据2种资源的出力特性,求解间歇性DG和DR的最优综合配置方案。最后通过在IEEE 34节点配电系统仿真得到灵活DR互动效果对DG配置的影响。仿真得出,DR资源调度可以在配网运行中可以改善弃风、切负荷、电压越限,从而提高了配网中DG接入能力;在峰谷差较大、电压越限、线路阻塞等不同应用场景下DR布局也会不同。所提模型为大规模需求响应资源参与配电网规划奠定了基础。

关 键 词:分布式电源  需求响应  双层优化模型  机会约束规划  
收稿时间:2018-05-21
修稿时间:2019-07-08

Optimal Allocation of Distributed Generation in Distribution System Considering Multi-type Demand Response Resources
ZHAO Nan,WANG Beibei.Optimal Allocation of Distributed Generation in Distribution System Considering Multi-type Demand Response Resources[J].Electric Power,2019,52(11):51-59,67.
Authors:ZHAO Nan  WANG Beibei
Affiliation:School of Electrical Engineering, Southeast University, Nanjing 210096, China
Abstract:In recent years, the distributed generation (DG) and demand response (DR) resources have made up an increasing portion in the operation of active distribution network. In order to fully utilize the resources of distribution system, a study is made in this paper on integrated planning of intermittent distributed generation and multi-type demand response resources. To obtain the optimal allocation scheme of intermittent DG and DR, a chance-constraint programming-based bi-level optimal model is established according to their output characteristics. A series of simulations are made on the IEEE 34-node distribution system to understand the influence of DR's interaction on DG allocation. Simulation results illustrate that DR resources can be dispatched to improve the wind curtailment, load curtailment and voltage exceeding problem, consequently enhancing the access capability of DGs. In different application scenarios such as large difference between peak and valley loads, voltage exceeding and power line congestion, the allocations of DR are also different. The model proposed in this paper lies a foundation for large-scale DR resources participating in distribution system planning.
Keywords:distributed generation  demand response  bi-level optimal model  chance-constraint programming  
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