基于改进PSO算法的分布式能源供应链配置研究

传统能源储备量不足导致的能源危机使得分布式能源在能源网中占比越来越高,高效而环保的分布式能源供应链为能源互联网+智慧能源奠定了基础,为解决分布式能源供应链供给侧各分布式模块配置问题,以分布式能源供应链中各分布式模块的经济性问题和环保性问题为目标函数建立相关模型,分析了分布式风能、分布式太阳能和分布式天然气模块,研究分布式能源供应链供给侧的最优配置,结合模拟退火算法对PSO算法进行改进形成改进的PSO算法,并与标准PSO算法进行对比,利用改进后的算法对模型进行求解,通过算例分析验证了所建模型的可行性、算法的优越性和分布式能源供应链配置问题的有效解决方案。

Distributed energy supply chain configuration based on improved PSO algorithm

The energy crisis caused by the shortage of traditional energy reserves makes distributed energy share higher and higher in the energy network. The highly efficient and environmentally friendly distributed energy supply chain has laid the foundation for energy Internet plus intelligent energy, and has solved the distributed block allocation problem on the supply side of distributed energy supply chain. Taking the economic and environmental problems of each distributed module in the distributed energy supply chain as the objective function, relevant models were establishes creatively. The distributed wind energy, distributed solar energy and distributed natural gas modules were analyzed, and the optimal allocation of the supply side of the distributed energy supply chain was studied. The PSO algorithm was improved by combining with simulated annealing algorithm to form an improved PSO algorithm. Compared with the standard PSO algorithm, the improved algorithm was used to solve the model. The feasibility of the model, the superiority of the algorithm and the effective solution of the distributed energy supply chain configuration problem were verified through the analysis of an example.