| Total installed PV and wind generation capacity in China surpassed 350 GW by the end of 2018.It is projected that PV and wind generation is likely to continue to see fast growth over the next two decades or so,becoming dominant form of power generation in China.However,due to their inherent variability and intermittency,the rapid growth of wind and PV has caused major challenges for the safe and secure operation of power systems and also the integration of renewable generation.On the other hand,the surrounding areas of hydro power plant usually are environmentally and geographically rich in renewable energy potentials which can be developed and exploited in large scales.The PV and wind generation could be combined with hydro power plant to form an integrated generation and provide system operators with high quality and controllable output,which is one of the most effective ways of dealing with aforementioned major challenges.The integrated wind/PV/hydro power generation is a new form of generation and needs significant research.Therefore,this paper proposes a multi-objective optimization operation method for integrated wind/PV/hydro power generation system considering grid stability and economy.The effectiveness of the proposed method was verified by the case of Longyangxia PV/hydro project and Wind power station of Qinghai Lake.This paper is aimed at the multi-energy complementary characteristics between the new energy sources of wind,PV,hydropower.Based on the random wind power output model that fully considers the Weibull probability distribution,the power output model of the PV array affected by the solar incident angle,and the power output model of the hydropower units affected by the reservoir flood control and other factors,a multi-objective optimization operation model for integrated wind/PV/hydro power generation system considering grid stability and economy was proposed.And an improved fast non-dominated sorting genetic algorithm II based on simulated annealing(SA-NSGA-Ⅱ)was developed with following improvement: simulated annealing method at the variation stage,the new sorting method of the non-dominated sorting stage,and the crowding distance formula considering variance of population diversity distribution stage in the SA-NSGA-Ⅱ algorithm,which significantly improved the solution of the multi-objective optimization problem.Finally,taking the Longyangxia PV/hydro project and Wind power station of Qinghai Lake as an example.According to the Pearson-ⅡI(P-ⅡI)curve,the annual storage runoff of Longyangxia Reservoir in the past 30 years was classified.Complementary optimization operation for integrated wind/PV/hydro power generation system is simulated separately in different situations.The results show that hydropower is a good supplementary resource for PV and wind power.Not only can the quality of power delivered to the grid be improved,but also the consumption of wind and PV new energy generation can be increased,and the advantages of achieving coordinated and optimized scheduling of the reservoir for many years.In order to further verify the effectiveness of the multi-objective optimization operation method for integrated wind/PV/hydro power generation system,a comparation between wind/PV/hydro scheduling and operation in independent and integrated modes was carried out.By comparing the scheduling strategies of two different forms,the superiority of the proposed method is verified. |
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