基于混合鲸鱼算法的需求响应微电网最优经济运行

Optimal economic operation of demand-response microgrids based on hybrid whale optimization algorithm

  • 摘要: 为了平衡微电网负荷需求的峰谷差并降低微电网系统成本,提出一种基于负荷转移的激励型需求响应微电网最优经济运行模型. 此外,针对微电网中分布式电源出力协调所引发的经济性问题,提出一种混合鲸鱼优化算法. 首先,设置非线性收敛因子和自适应概率阈值来平衡算法的全局搜索与局部开发能力;其次,引入自适应位置权重参数提高算法的收敛速度;最后,融合正余弦算法,通过正余弦交叉的方式进行寻优,提高算法的寻优精度. 通过算法测试以及算例仿真验证了所提模型与算法的有效性和可行性,实验结果表明,所提模型不仅能够实现削峰填谷的目标,还能有效降低微电网系统成本;通过所提算法协调各可控微源的出力,并与其它四种算法进行对比实验,验证了所提算法在解决微电网最优经济运行问题时的优越性.

     

    Abstract: In order to balance the peak-valley difference of microgrid load demand and reduce the cost of microgrid system, an incentive demand response microgrid optimal economic operation model based on load transfer was proposed. In addition, a hybrid whale optimization algorithm is proposed to solve the economic problem caused by distributed power output coordination in microgrid. Firstly, the nonlinear convergence factor and adaptive probability threshold are set to balance the global search and local development ability of the algorithm. Secondly, adaptive position weight parameters are introduced to improve the convergence speed of the algorithm. Finally, the sine-cosine algorithm is integrated, and the optimization is carried out by sine-cosine intersection to improve the optimization accuracy of the algorithm. The effectiveness and feasibility of the proposed model and algorithm are verified by algorithm test and simulation. The experimental results show that the proposed model can not only achieve the goal of peak cutting and valley filling, but also effectively reduce the cost of microgrid system. The proposed algorithm coordinates the output of each controllable micro-source, and the comparison experiment with other four algorithms verifies the superiority of the proposed algorithm in solving the problem of optimal economic operation of microgrid.

     

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