Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)

Multi-Objective Capacity Optimal Allocation of Hybrid Energy Storage System

Authors
Shize Li, Suping Gao, Chaojiang Guo
Corresponding Author
Shize Li
Available Online April 2017.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

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  - https://doi.org/10.2991/iceesd-17.2017.178
ID  - Li2017/04
ER  -