Multi-Objective Capacity Optimal Allocation of Hybrid Energy Storage System

DOI

10.2991/iceesd-17.2017.178How to use a DOI?

Keywords

Hybrid Energy Storage; Optimized Allocation; Particle Swarm Optimization; Control Strategy

Abstract

For battery and super-capacitor hybrid energy storage system capacity configuration, the hybrid energy storage system multi-objective optimal allocation model is proposed. The optimization goals were economic cost, reliability of power supply,and the balance of supply and demand. The constraints were the battery's SOC(State of Charge), the super-capacity's terminal voltage and the converter's maximum power.Taking into account the influence of the energy control strategy, the two stage PSO(Particle Swarm Optimization) algorithm was used to configure the hybrid energy storage system capacity. Finally, the simulation results show that the proposed algorithm can converge quickly and reliably.

Copyright

© 2017, 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/).

Download article (PDF)

TY  - CONF
AU  - Shize Li
AU  - Suping Gao
AU  - Chaojiang Guo
PY  - 2017/04
DA  - 2017/04
TI  - Multi-Objective Capacity Optimal Allocation of Hybrid Energy Storage System
BT  - Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
PB  - Atlantis Press
SP  - 978
EP  - 987
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-17.2017.178
DO  - 10.2991/iceesd-17.2017.178
ID  - Li2017/04
ER  -