International Journal of New Developments in Engineering and Society, 2022, 6(3); doi: 10.25236/IJNDES.2022.060305.
Jiayi Gong, Manting Guo, Jianing Pan
College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian, 350000, China
With the continuous development of wind power generation technology and the increasing investment, the global installed scale of wind power generation is growing rapidly. Since the strong intermittency and fluctuation of wind power easily leads to the difficulty of real-time power balance in system operation and the relatively expensive cost of energy storage, this paper will take the high proportion of wind power system as an example to analyze the configuration and operation of energy storage. Firstly, the generation plan curve of the unit is drawn and the system unit power supply cost is calculated, and finally the reliability of the model and the quadratic planning algorithm is checked by genetic algorithm. Secondly, the solution with the lowest overall system cost is solved. Finally, the model is built and combined with fuzzy hierarchical analysis to obtain the optimal power balance solution, and the feasibility and effectiveness of the solution are determined by consistency test.
Secondary planning; minimum energy storage allocation plan; minimum system cost planning; fuzzy hierarchical analysis
Jiayi Gong, Manting Guo, Jianing Pan. Fuzzy hierarchical analysis applied in high ratio wind power system energy storage. International Journal of New Developments in Engineering and Society (2022) Vol.6, Issue 3: 24-31. https://doi.org/10.25236/IJNDES.2022.060305.
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