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Energies 2017, 10(4), 442; doi:10.3390/en10040442

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

1
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University Changping District, Beijing 102206, China
2
State Power Economic Research Institute, Changping District, Beijing 102209, China
3
State Grid Materials Co. Ltd., Xicheng District, Beijing 100120, China
4
State Key Lab of Control and Simulation of Power Systems and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing 100084, China
*
Author to whom correspondence should be addressed.
Academic Editor: Paolo Mercorelli
Received: 13 December 2016 / Revised: 18 March 2017 / Accepted: 21 March 2017 / Published: 1 April 2017
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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. View Full-Text
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 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
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Li, H.; Li, G.; Liu, S.; Wang, Y.; Wang, Z.; Wang, J.; Zhang, N. Research on Optimal Planning of Access Location and Access Capacity of Large-Scale Integrated Wind Power Plants. Energies 2017, 10, 442.

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