Wind-Photovoltaic-Storage Hybrid System Coordinated Optimal Control of Output Power

DOI

10.2991/ipemec-15.2015.99How to use a DOI?

Keywords

Wind-photovoltaic-storage hybrid system; Multi-objective optimization; Non-dominated sorting genetic algorithm (NSGA-II); Evaluation method.

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hao Tian
AU  - Yutian Liu
PY  - 2015/05
DA  - 2015/05
TI  - Wind-Photovoltaic-Storage Hybrid System Coordinated Optimal Control of Output Power
BT  - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SP  - 530
EP  - 535
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.99
DO  - 10.2991/ipemec-15.2015.99
ID  - Tian2015/05
ER  -