Economic Optimization Operation Analysis of Microgrid Based on Improved Particle Swarm Optimization

DOI

10.2991/msbda-19.2019.31How to use a DOI?

Keywords

Micro grid, Economic optimization, Improved particle swarm optimization

Abstract

In view of the problem of optimal operation of microgrid system, a mathematical model of economic optimal dispatch of microgrid was established in this paper, aiming at the lowest cost of generating electricity of distributed generation, operation and maintenance of corresponding equipment, and the lowest price of purchasing and selling electricity from large power grid. And the three kinds of operation scheduling under different weather conditions (normal, cloudy, sunny) were analyzed respectively. Finally, improved particle swarm optimization (iPSO) algorithm was improved to optimize the scheduling under the constraints of not only load requirements, but also generation and output constraints, energy storage unit operation constraints and interactive energy with large power grids.The results show that the proposed control strategy can effectively achieve the optimal power distribution of microgrid and minimize the operation cost.

Copyright

© 2019, 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  - Jialiang Ling
AU  - Jiannan Li
AU  - Di Feng
AU  - Youwen Tian
PY  - 2019/08
DA  - 2019/08
TI  - Economic Optimization Operation Analysis of Microgrid Based on Improved Particle Swarm Optimization
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 194
EP  - 201
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.31
DO  - 10.2991/msbda-19.2019.31
ID  - Ling2019/08
ER  -