Open AccessSite Selection and Capacity Determination of Multi-Types of DG in Distribution Network Planning
Author(s) -
Y. N. Wang,
Zheng Tang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/486/1/012071
Subject(s) - constraint (computer aided design) , mathematical optimization , microgrid , computer science , genetic algorithm , distributed generation , selection (genetic algorithm) , grid , capacity planning , power (physics) , power flow , network planning and design , electric power system , engineering , mathematics , control (management) , computer network , mechanical engineering , physics , geometry , quantum mechanics , artificial intelligence , operating system
Site Selection and Capacity Determination of Multi-Types of Distributed Generation (DG) have a significant impact on the distribution network planning. Therefore, it is necessary to scientifically analyze the impact of the distributed generators on the distribution network, Considering the minimum sum of investment cost, network loss cost and power outage loss cost, the grid planning model is established by considering network constraints such as voltage constraint, line capacity constraint, power flow constraint and reverse power flow constraint.. The genetic algorithm is used to solve the optimal grid planning scheme for the distribution network with microgrid. Finally, the IEEE 14-bus Distribution Network is analyzed for the DG location and volume planning in Distribution Network to verify the validity and feasibility of the planning model.