Study on Reserve Capacity Optimization Model of Wind And Solar Power Generation System Based on Multi-Objective Optimization

DOI

10.2991/nceece-15.2016.14How to use a DOI?

Keywords

Reserve Capacity; Multi-Objective Optimization; Power Generation

Abstract

Rational optimization of the energy storage system can be configured to stabilize power fluctuations of wind and solar power generation systems. The use of batteries and complementary nature of ultra-capacitors, combined with real-time scheduling grid we proposed a method to improve the overall economics of the energy storage system and supply reliability targets energy management strategies. Based on the energy management strategy, energy flow process is analyzed. The energy storage device function expressions are established based on an annual fee of full life-cycle theory and define power fluctuation rate expression, and finally simulation calculation is conducted by adopt immune genetic algorithm for multi-objective. It verifies the correctness and effectiveness of the optimization model and algorithm.

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  - Xiupeng Chen
AU  - Feng Lu
AU  - Yiping Cheng
PY  - 2015/12
DA  - 2015/12
TI  - Study on Reserve Capacity Optimization Model of Wind And Solar Power Generation System Based on Multi-Objective Optimization
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 71
EP  - 79
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.14
DO  - 10.2991/nceece-15.2016.14
ID  - Chen2015/12
ER  -