电网关口外送电交易能力的多目标分层优化研究  

Multi-object hierarchical optimization research of gate trading capability based on economic operation of power system

作　　者：方日升[1] 江岳文[2] 温步瀛[2] 

机构地区：[1]福建省电力有限公司,福建福州350003 [2]福州大学电气工程与自动化学院,福建福州350116

出　　处：《福州大学学报（自然科学版）》2013年第3期345-348,共4页Journal of Fuzhou University(Natural Science Edition)

基　　金：福建省青年人才创新基金资助项目(2011J05124)

摘　　要：研究电网的外送电交易能力的内涵;建立了以系统发电成本最小和关口外送电交易最大为目标并考虑机组约束、网络约束以及节点负荷水平约束等的评估模型;利用分层优化结合粒子群算法求解.该模型第一层以电网的电力系统经济调度为前提,第二层在极小化本系统发电成本的基础上,求取关口最大外送电交易能力.通过IEEE30节点系统仿真计算,表明该方法能有效获取关口外送电交易能力指标.With the large-scale development of wind power and the increasing power exchange of trans-province and trans-region,it is important to evaluate the gate exchange capability for resource optimization and bilateral advantage.This paper comes up with the connotation of exchange capability.Also,this paper creates a mathematical model.The model’s objective is minimum generating cost and maximum gate exchange capability.And its constraint conditions include generators’constraint、grid constraint and node load constraint,and so on.It uses particle swarm optimization with the hierarchical optimization to solve the calculation of gate exchange capability.Firstly,this paper attains the solution of economic dispatch for minimum generating cost in this system.Secondly,it gets the maximum gate exchange capability based on the economic dispatch.The mathematical model and optimization algorithm are proved effective by testing IEEE30.

关 键 词：电网 关口交易能力 多目标规划 分层优化 粒子群算法 

分 类 号：TM71[电气工程—电力系统及自动化]