Abstract
The anti-peak characteristics of offshore wind power makes the large-scale offshore wind power cluster integration have a great negative impact on the power system in coastal areas. In order to ensure the safe and stable operation of power system and give consideration to both economy and energy efficiency, a bi-level multi-objective planning model of microgrid with offshore wind power is proposed. Firstly, the microgrid and its investment, operating and maintenance cost model are established. Secondly, a multi-objective function model is established to meet the requirements of economy and energy efficiency. Thirdly, the bi-level multi-objective planning model is established. The upper level is formulated as an optimal capacity allocation problem, while the lower level is an optimal operation scheduling model, and the improved multi-objective particle swarm optimization algorithm is used to solve the upper and lower models. Finally, a simulation example is given to verify the effectiveness of the proposed model.
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