摘要
针对主动配电系统的分布式电源与网络结构协同规划过程中难以同时考虑它们在运行环节交互作用的问题,提出了一种考虑多主体利益均衡及规划运行交替优化的数学模型和求解算法。首先,建立了分别以分布式电源和配电网各自成本效益最优为目标并内嵌需求响应与运行策略的3层优化框架及数学模型;其次,提出了基于拓扑等效原则的网络结构简化方法,并结合网架生成过程中拓扑结构变化特征的深入分析,提出了基于破圈法的单联络网络快速生成方法,制定了与之相结合的粒子群优化算法的编/解码方案;再次,基于网供负荷特性和用户需求响应意愿,提出了有源配电网动态分时电价优化方法及运行策略,并建立了内嵌精细化运行的源网协同规划求解流程;最后,通过算例验证了所述方法的合理性和有效性。
In the coordinated planning process of distributed generator(DG)and network structure of active distribution system,it is difficult to consider their interaction in the operation process simutaneously.To solve this problem,a mathematical model and solving algorithm for multi-agent balance of interest considering planning and operation alternative optimization are proposed.Firstly,considering demand response and operation strategy,a tri-level optimization framework and mathematical model based on the optimal cost-effectiveness of distribution network and DG are established.Secondly,the network simplification method based on topological equivalence principle is presented.Based on the in-depth analysis of the topological structure variation in the network structure generation process,a rapid generation strategy for link and loop network based on broken circle method is proposed.Then an encoding/decoding scheme of particle swarm optimization is developed.Thirdly,based on the load characteristics and demand response willingness of customers,an optimization method and operation strategy for dynamic time-of-use price are proposed,and coordinated planning solution process of the source and network considering the operation optimization is presented.Finally,the efficiency and practicability of the method are demonstrated on a practical system.
作者
刘洪
郑楠
葛少云
徐正阳
郭力
LIU Hong;ZHENG Nan;GE Shaoyun;XU Zhengyang;GUO Li(Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University),Tianjin 300072,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2020年第3期89-97,共9页
Automation of Electric Power Systems
基金
国家重点研发计划资助项目(2016YFB0900401)
国家自然科学基金资助项目(51477116)~~
关键词
配电网规划
分布式电源
需求响应
3层协调优化
破圈法
distribution network planning
distributed generator
demand response
tri-level coordinated optimization
broken circle method