基于改进海鸥优化算法的微电网优化配置

Optimal Configuration of Microgrids Based on Improved Seagull Optimization Algorithm

摘要: 对微电网进行合理的优化配置是提升微电网接纳分布式电源能力的重要举措，在考虑价格型需求响应的情况下，提出考虑需求响应的基于改进海鸥优化算法(Improved Seagull Optimization Algorithm, ISOA)的微网储能优化配置模型。针对传统算法对模型求解精度较低、求解速度慢的问题，提出改进的海鸥优化算法，提高收敛速度和精度。并将改进的算法与Cplex求解器联合求解，进行微电网的双层优化配置。实验结果表明，所提改进策略能够显著提高算法寻优能力，且有效降低微网的综合成本，具有优越的应用价值。

Abstract: A reasonable and optimal allocation of the microgrid is an important step to improve the mi-crogrid’s ability to accept distributed power sources, an improved seagull optimization algorithm based on microgrid energy storage optimal allocation considering demand response is proposed under the consideration of price-based demand response. To address the problems of low accuracy and slow solution speed of the traditional algorithm for model solving, the improved seagull opti-mization algorithm is proposed to improve the convergence speed and accuracy. The improved al-gorithm is also carried out with the Cplex solver for the two-layer optimal configuration of the mi-crogrid. The experimental results show that the proposed improved strategy can significantly im-prove the algorithm’s optimization capability and effectively reduce the various costs of the mi-crogrid, which has superior application value.