Coodination Of Generation And Transmission Expansion Planning With Wind Power Injection At Multi Points

In order to cope with the global energy crisis and ecocrisis, the wind power generation has been widely developed since its advantages such as large scale, convenientutilization and clean. However, the randomness and volatility of wind power output leads to a great change for power flow distribution, which is even greater when there are multi wind power injections, leaving a higher requirement for the flexibility of transmission expansion plans. For the sake of taking advantage of wind power and keeping the economic and stable operation of the grid, a few researches in this paper about transmission expansion planning (TEP) coordinated with wind power injection are as below.In view of the effect on steady-state operation by wind power injection, voltage problems, frequency deviation and power flow distribution are analyzed in this paper based on the wind power generation characteristics, math principles and simulation results. Then this paper summarizes the impact on reactive power planning and net expansion planning respectively, and proposes the concept of coordination of generation and transmission expansion planning for wind power injection at multi points, which are the theoretical basis for building the optimal model later.Uncertain factors in the process of TEP are analyzed as well as the corresponding probabilistic models are built. In order to cope with the multidimensional uncertain factors because of the multi wind power injections, a cluster technology based on multidimensional spatial distribution considering the spatial distribution of wind power injections is proposed in this paper. The so called cluster technology is applied to build multi scenarios for the sake of decreasing computation task of flexible TEP in this paper.A multi-objective optimal model with constraints is built in this paper on the purpose of coordinated planning, including the minimal composite cost, minimal wind energy curtailment, minimal risk level as objections and the power balance, restrictions of transmission capacity, restrictions of generator output as constraints. In order to solve the proposed model with high speed with reasonable precision, a hybrid algorithm combined EDA (estimation of distribution algorithm) with DE (differential algorithm) named as EDA/DE is put forward in this paper, as a technical support for the model solving. In EDADE, the updating mechanism of probabilistic model in EDA is improved to have a better performance on TEP model solving, with the help of the TEP experience.IEEE24 RTS test system is applied in this paper. The results not only verify the applicability and availability of the cluster technology based on multidimensional spatial distribution as well as the coordination of generation and TEP model, but also testify the convergence and availability of the proposed hybrid algorithm in this paper. The TEP model and solving approach can provide a decision support for the optimal TEP with multi wind power injections.