Distribution Network Planning with Comprehensive Economy and Reliability

2019 4th Asia Conference on Power and Electrical Engineering

能源学;电工学

Du, Wei^1 ; Lu, Mengke^1 ; Li, Deyi^1

School of Electrical Engineering, Xi'An Jiaotong University, Xi'an, Shaanxi Province

710049, China^1

关键词: Computational burden;    Distribution network planning;    Economy and reliabilities;    Infeasible solutions;    Minimum spanning trees;    Multi-objective problem;    Non-linear mixed integer programming;    Pareto optimal solutions;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012016/pdf
DOI  :  10.1088/1757-899X/486/1/012016

来源: IOP

【 摘 要 】

From the perspective of reliability and economy of distribution network, this paper combines the layout of network frame and the configuration of section switch and contact line, and obtains many plannings that coordinate economy and reliability. Firstly, considering the grid planning, a multi-objective optimization planning model of the distribution network frame with the lowest investment and operating costs and the best reliability index is established. When solving the model, the minimum spanning tree algorithm is used to avoid the generation of infeasible solutions and reduce the computational burden. This paper improves the minimum spanning tree algorithm, when algorithm iteratively generates a new solution, the sum of the reduction rate of economic index and the growth rate of reliability index is used to be the objective function in the iterative process, so that the multi-objective problem is transformed into a single objective problem. The preference factor of the decision-maker is given by weight assignment. And the algorithm is extended to multi-power planning. Secondly, considering the configuration of section switch and contact line, the nonlinear mixed integer programming model corresponding to the system is established, and the Pareto optimal solution set is generated by the NSGA-II algorithm. Then, the Pareto optimal solution set is converted into a series of corresponding planning schemes that the designer can select. Finally, the validity and correctness of the proposed method are verified by the analysis of single-source and multi-source distribution network examples.