Stochastic economic dispatch using bacterial swarm algorithm

DOI

10.2991/peee-15.2015.81How to use a DOI?

Keywords

Economic dispatch, Stochastic, Bacterial swarm algorithm.

Abstract

This paper adopts a stochastic optimization method for solving the Security-Constrained Optimal Power Flow (SCOPF) problem with the consideration of distributed load variations in the grid. The objective function of the dispatch scheme aims to minimize fuel costs of the grid. Compared with conventional dispatch scheme, the computational complexity of proposed method is significantly increased. Therefore, this research adopts an improved Bacterial Swarm Algorithm (BSA) to solve the optimization. Compared with most Evolutionary Algorithms (EAs), BSA is more effective and has better convergence performance. The simulation studies reports the results obtained using an IEEE 30-bus system with uncertain load. A comparison between the results achieved using the proposed method and those obtained from conventional dispatch is given.

Copyright

© 2015, 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  - M.S. Li
AU  - Y. Hu
AU  - X. Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Stochastic economic dispatch using bacterial swarm algorithm
BT  - Proceedings of the 2015 International Conference on Power Electronics and Energy Engineering
PB  - Atlantis Press
SP  - 298
EP  - 301
SN  - 2352-5401
UR  - https://doi.org/10.2991/peee-15.2015.81
DO  - 10.2991/peee-15.2015.81
ID  - Li2015/04
ER  -