标题：Wind-Photovoltaic-Storage Hybrid System Coordinated Optimal Control of Output Power
作者：Tian, Hao; Liu, Yutian
作者机构：[Tian, Hao; Liu, Yutian] Shandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R China.
会议名称：International Power, Electronics and Materials Engineering Conference (IPEMEC)
会议日期：MAY 16-17, 2015
来源：PROCEEDINGS OF THE 2015 INTERNATIONAL POWER, ELECTRONICS AND MATERIALS ENGINEERING CONFERENCE
关键词：Wind-photovoltaic-storage hybrid system; Multi-objective optimization;; Non-dominated sorting genetic algorithm (NSGA-II); Evaluation method
摘要：For large wind-photovoltaic-storage hybrid system, in order to maximize the match between output of the hybrid system and the scheduling plan, it is very important to coordinate the output power of wind, photovoltaic and energy storage system. Taking the uncertain of wind, photovoltaic generation and the power ramp constraint into account, a coordinated optimal control strategy is proposed. The aim of optimization model is to minimize the average expectation of power deviation and charge-discharge times of battery and maximize the average residual capacity of battery. The Non-dominated sorting genetic algorithm (NSGA-II) is used to solve the multi-objective problem for getting the alternative schemes set, and an evaluation method is given to acquire the best scheme. The feasibility of the present strategy is examined by simulation.