为实现冷热电联供系统的高效经济运行,以运维成本和环境成本之和最低为目标,建立优化调度数学模型。针对传统蜣螂算法存在全局搜索能力不强、寻优效率低的问题,提出改进蜣螂算法,引入混沌初始化增强种群多样性,加入黄金正弦与非线性控制因子策略以提高粒子搜索能力,采用变异策略使算法避免陷入局部最优。选用单峰和多峰函数测试改进蜣螂算法性能,并与其他算法对比,结果表明改进蜣螂算法在收敛速度和收敛能力上有所提高,对运行结果进行秩检验,表明改进算法具有显著性。将其应用于冷热电联供系统中,能够提高微网的运行效益和环保效益。
Abstract
To realize the efficient and economical operation of a combined cooling, heating and power （CCHP） system, an optimal scheduling mathematical model is established with the minimum sum of operationmaintenance cost and environmental cost as the objective. Aiming at the problems of weak global search capability and low optimization efficiency in the traditional dung beetle optimizer （DBO）, an improved dung beetle optimizer is proposed. Chaotic initialization is introduced to enhance population diversity, goldensine strategy and nonlinear control factors are adopted to improve particle search performance, and a mutation strategy is utilized to prevent the algorithm from falling into local optima. Unimodal and multimodal functions are selected to test the performance of the improved dung beetle optimizer. Comparative results with other algorithms show that the improved algorithm achieves better convergence speed and convergence precision. Rank tests are conducted on the simulation results, which verify the statistical significance of the proposed algorithm. When applied to the CCHP system, the algorithm can improve the operational and environmental benefits of the microgrid.
关键词
蜣螂算法 /
冷热电联产 /
微网 /
优化调度 /
混沌映射
Key words
dung beetle algorithm /
cogeneration of cold heat and electricity /
microgrid /
optimized scheduling /
chaotic mapping
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基金
国家自然科学基金（12302374; 12202165）; 辽宁省教育厅基金资助项目（LJKMZ20220685; LJ2020JCL035）
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