Dynamic Economic Optimal Dispatch of Microgrid Based on Improved Differential Evolution Algorithm

2nd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Huang, Xiaobo^1 ; Xia, Fei^1 ; Xia, Zongze^1 ; Cong, Peixian^1 ; Di, Zhuo^1 ; Yang, Zhixiong^2 ; Song, Li^1

State Grid Liaoyang Electric Power Supply Company, Liaoyang

111000, China^1

Kunming Institute of Physics, Kunming

650223, China^2

关键词: Charge and discharge;    Connected operations;    Dynamic economic dispatch;    Dynamic optimization;    Improved differential evolutions;    Objective functions;    Sodium sulfur battery;    Uncertainty factors;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/170/4/042143/pdf
DOI  :  10.1088/1755-1315/170/4/042143

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Aiming at the static economical dispatch for microgrid ignoring the inherent link between the lack of each time interval, considering wind turbines, photovoltaic cells and sodium sulfur battery uncertainty factors on economic dispatch, taking the minimum micro power output and micro grid operation cost as objective function, the establishment of a micro grid dynamic economic dispatch model. Using VC + +, the dynamic economic dispatch program of microgrid is developed by using improved differential evolution algorithm. By changing the dynamic crossover factor, the convergence speed of the algorithm and the ability to avoid falling into local optimum are improved. According to the characteristics of microgrid example structure, the output principle and operation control strategy of microgrid are formulated according to the operation of microgrid isolated grid / grid connected operation. The results show that the economic dispatch of microgrid using dynamic optimization theory is more advantageous than static scheduling in cost saving, and it makes the charge and discharge of sodium sulfur battery more global and practical.