摘要
研究电力微网系统满足用户需求供电,实现供需双方收益的平衡优化问题。分析基于两种电力需求约束情况:一种是某时期内各时段需求电量为恒定值;另一种是某时期内总电量需求一定,供电方可在不同时刻提供不同电量,总供电满足需求即可。针对以上两种不同需求约束方式建立电力供需两侧收益平衡模型,分析了鸡群优化算法(CSO),并提出一种基于改进型鸡群优化算法(ICSO)供需平衡模型,实现最优电源发电调度与最优电价策略。仿真实验表明了电力供需两侧平衡模型实践的合理性和算法的可靠性。
This paper studies the power micro grid system to meet the needs of users,and achieve the balance and optimization of revenue and demand between the two sides.Based on two kinds of power demand constraints are analyzed: one is a certain period of time demand for a constant demand;the other is the demand in a certain period of total electricity demand,power supply can provide different power at different times,the total power supply can meet the demand.In this paper,the balance model of power supply and demand on both sides of the two different demand modes is set up.Analysis of chicken group algorithm and an improved chicken group algorithm is proposed to optimize the supply and demand balance model to realize the optimal power generation scheduling and the optimal electricity price strategy.The simulation results show that the equilibrium model of power supply and demand is reasonable and the reliability of algorithm is reasonable.
作者
金鹏
朱志刚
连志刚
JIN Peng;ZHU Zhigang;LIAN Zhigang(School of Electrical Engineering,Shanghai DianJi University,Shanghai 201306,China)
出处
《上海电机学院学报》
2019年第1期33-41,共9页
Journal of Shanghai Dianji University
基金
上海市自然科学基金资助项目(14ZR1417300)
上海电机学院计算机应用技术学科建设资助项目(13XKJ01)
上海电机学院登峰学科建设资助项目(15DFXK01)
关键词
电力调度
供需两侧平衡
需求定量
鸡群算法
power dispatching
balance between supply and demand
demand quantitative
chicken swarm algorithm
