Group Selection Clone Immune Model of Microgrid Optimization

DOI

10.2991/ifeesm-15.2015.136How to use a DOI?

Keywords

Clone Immune Model; Multiple objectives; Operating cost; Microgrid

Abstract

In this paper, we have proposed a Group Selection Clone Immune Model for energy resource scheduling of microgrid, which consists of integrated microgrids and lumped loads. Multiple objectives are considered for load balancing among the feeders, minimization of the operating cost, minimizing the emission, minimizing active power losses. The agent represents message of unit and constitutes an autonomic unit. By understanding properties of messages, the agent use projection-join closure to capture such message situations. The network is achieved by the evolution of the agent based on the semantic negotiation. Based on the objectives evaluated by membership functions respectively, we propose a Group Selection Clone Immune algorithm to solve it. Simulation results demonstrated that the proposed method is effective in improving performance and management of micro-sources.

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  - Anjia Hou
AU  - Dianquan Zhao
AU  - Leting Lin
PY  - 2015/09
DA  - 2015/09
TI  - Group Selection Clone Immune Model of Microgrid Optimization
BT  - Proceedings of the 2015 International Forum on Energy, Environment Science and Materials
PB  - Atlantis Press
SP  - 732
EP  - 735
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-15.2015.136
DO  - 10.2991/ifeesm-15.2015.136
ID  - Hou2015/09
ER  -