基于改进樽海鞘群算法的区域综合能源系统优化调度

Optimal Dispatching of Regional Integrated Energy System Based on Improved Salp Swarm Algorithm

摘要:

降低区域综合能源的碳排放量，提高其经济性，文中建立了以运行成本和环境成本最小为目标函数的区域综合能源系统优化调度模型。利用莱维飞行和非线性收敛因子策略对樽海鞘群算法进行改进，得到改进樽海鞘群算法，提升了算法的全局搜索性能和收敛能力。采用改进樽海鞘群算法对区域综合能源系统优化调度模型进行求解，结果表明，改进樽海鞘群算法在经过47次迭代后就找到了最优解为2 536.24元，相比其他算法，迭代次数和收敛时间更少，求解精度更高。根据改进樽海鞘群算法的调度方案，各设备出力合理，系统运行的经济性和环保性较好，验证了所提区域综合能源系统优化调度模型和求解方法的实用性。

Abstract:

In order to reduce the carbon emissions of regional integrated energy and improve its economy, an optimal dispatching model of regional integrated energy system is established with the objective function of minimizing the operating cost and environmental cost. Levy flight and nonlinear convergence factor strategy are used to improve salp swarm algorithm, and an improved salp swarm algorithm is obtained, which improves the global search performance and convergence ability of the algorithm. Then, the improved salp swarm algorithm is used to solve the optimal dispatching model of regional integrated energy system. The results show that the improved salp swarm algorithm finds the optimal solution of 2536.24 yuan after 47 iterations. Compared with other algorithms, the number of iterations and the convergence time are less, and the solution accuracy is higher. According to the dispatching scheme based on the improved salp swarm algorithm, the output of each equipment is reasonable, and the economy and environmental protection of system operation are good, which verifies the practicability of the proposed optimal dispatching model and solution method of regional integrated energy system.