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.
Highlights
With the solution results described by the Pareto pattern, the weights of the multi-objective attributes of each solution are calculated based on the entropy weight method, according to which all the alternative solutions are ranked and the final compromised solution is selected by the method of technique for order preference by similarity to ideal (TOPSIS)
In the Gth mutation process, a new temporary population will be composed by the way that vector ui,G+1 begins to compare with its parent vector xi,G : (i) If the two vectors satisfy the Pareto dominance principle, the dominated vector is chosen as the new temporary population; (ii) If not, the two vectors are both chosen as the new temporary population
The simulation analysis is carried out based on a practical regional power grid in China which project of 4350 MW wind power generation in the year 2020 is ready for planning
Summary
In the northwest and northeast regions of China, which are rich in wind energy resources, the wind power generation has experienced rapid development in recent years, which brought a need of optimal planning of the access location and access capacity of large-scale integrated wind power plants to improve wind power consumption and to ensure the power system safely operation [1,2]. The literature [9] proposed an optimal method based on a market constraints optimization algorithm to solve multi-wind farms’ access locations and access capacities considering quarterly load demand and wind speed distribution characteristics. China’s current new energy development policy encourages wind power energy to be exploited vigorously under the condition that the installed wind power can be effectively consumed In this situation, there may be dozens or hundreds of wind farms integrated in a central area, and the power generated by wind farms need to be sent to distant load centers through the main transmission network. Based on a practical planning need of large-scale integrated wind power in an actual power grid in China in 2020, the best wind power access solution is successfully identified under the complex actual grid circumstances using the proposed model, which verifies the model’s effectiveness
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