Assessment of Distribution Network Planning Based on Dynamic Weighted Particle Swarm Algorithm with Distributed Generation and Energy Storage

DOI

10.2991/amsee-16.2016.27How to use a DOI?

Keywords

distributed generation; dynamic weighted particle swarm algorithm; assessment

Abstract

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.

Copyright

© 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/).

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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  -