Topology Optimization of Offshore Wind Farm Collection System Considering Smoothing Effect

In China, the offshore wind generation is developed in the mode of large-scale exploiting and centralized grid connection. More and more large-scale wind power bases are planning to construct in the future. Many bases are remote from load centers inversely and located at the weak end of the interconnected bulk power network, which lead to the severe wind power loss in these areas. Based on the characteristics analysis of the large-scale wind power, the systemic economic evaluation model of the offshore wind farm collection system is established, considering the smoothing effect of wind power, the construction cost of transmission projects, the compensation cost of wind power loss, as well as the benefit of transmitting wind power. The improved genetic algorithm is proposed to optimize the model. The efficiency of the algorithm is improved, and the complex constraints are deal with, such as the non-crossover of submarine cable, through optimizing the initial population, adopting the chain table code, and using an elite selection operator. The example of wind farm topology optimization indicates that the proposed algorithm has good optimization performance and convergence.