Multi-Objective Capacity Optimal Allocation of Hybrid Energy Storage System
Shize Li, Suping Gao, Chaojiang Guo
Available Online April 2017.
- https://doi.org/10.2991/iceesd-17.2017.178How to use a DOI?
- Hybrid Energy Storage; Optimized Allocation; Particle Swarm Optimization; Control Strategy
- 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.
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 - 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017) PB - Atlantis Press 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 -