Assessment of Distribution Network Planning Based on Dynamic Weighted Particle Swarm Algorithm with Distributed Generation and Energy Storage
Ming Zeng, Yuanfei Li, Yiqun Liu, Shiyu Meng, Jinyue Dou, Chenjun Sun
Available Online April 2016.
- 10.2991/amsee-16.2016.27How to use a DOI?
- distributed generation; dynamic weighted particle swarm algorithm; assessment
The Coordination Planning of distribution network with distributed generation and energy storage is a hot research topic at home and abroad. This paper proposes a multi objective programming model with minimum investment cost and minimum annual operating cost as the objective function; the uncertainty of wind power and photovoltaic power generation is simulated by Monte Carlo sampling; the multi-objective programming model is solved by using the dynamic weighted particle swarm algorithm, and the optimal Pareto is achieved; the results show that he proposed method can meet the demand of regional power network load and the requirements of the network, at the same time, effectively reduce the economic costs of the distribution network.
- © 2016, 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/).
Cite this article
TY - CONF AU - Ming Zeng AU - Yuanfei Li AU - Yiqun Liu AU - Shiyu Meng AU - Jinyue Dou AU - Chenjun Sun PY - 2016/04 DA - 2016/04 TI - Assessment of Distribution Network Planning Based on Dynamic Weighted Particle Swarm Algorithm with Distributed Generation and Energy Storage BT - Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering PB - Atlantis Press SP - 97 EP - 100 SN - 2352-5401 UR - https://doi.org/10.2991/amsee-16.2016.27 DO - 10.2991/amsee-16.2016.27 ID - Zeng2016/04 ER -