Research on Optimal Planning of Access Location and Access Capacity of Large-Scale Integrated Wind Power Plants

Hui Li, Gengyin Li, Siwei Liu, Yuning Wang, Zhidong Wang, Jiaming Wang and Ning Zhang
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Hui Li: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University Changping District, Beijing 102206, China
Gengyin Li: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University Changping District, Beijing 102206, China
Siwei Liu: State Power Economic Research Institute, Changping District, Beijing 102209, China
Yuning Wang: State Grid Materials Co. Ltd., Xicheng District, Beijing 100120, China
Zhidong Wang: State Power Economic Research Institute, Changping District, Beijing 102209, China
Jiaming Wang: State Power Economic Research Institute, Changping District, Beijing 102209, China
Ning Zhang: State Key Lab of Control and Simulation of Power Systems and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing 100084, China

Energies, 2017, vol. 10, issue 4, 1-13

Abstract: This paper proposes a multi-objective optimal planning model of access location and access capacity for large-scale integrated wind power generation considering the mutual restriction between the planning of large-scale wind power plants and the planning of power system network. In this model, the power flow equilibrium degree, investment costs and active network loss are taken as the optimization goals. The improved differential evolution (IDE) algorithm is applied to calculate the Pareto optimal solution set of wind power’s access planning. With the solution results described by the Pareto pattern, all the alternative solutions are then ranked based on the entropy weight method and the final compromised solution is selected by the method of technique for order preference by similarity to ideal (TOPSIS). And the proposed optimal planning model is tested based on a practical planning need of large-scale integrated wind power generation in an actual power grid of China in 2020. The simulation results show that applied with the proposed optimization model and matching algorithm, the planning scheme of large-scale wind power’s access location and access capacity under complex and practical power system circumstances has been successfully optimized.

Keywords: large-scale wind power generation; power plant planning; power flow equilibrium degree; economic efficiency; Pareto optimal solution set; improved differential evolution (IDE) algorithm; technique for order preference by similarity to ideal (TOPSIS) based non-poor sorting (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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