Optimized capacity strategy for seawater pumped storage power stations considering regulation cost compensation
Effective integration of offshore wind energy is achievable by jointly operating offshore wind power and seawater pumping for grid regulation,contributing to grid stability.However,to address critical issues such as cost recovery for seawater pumping,a multi-objective optimization study on seawater pumping capacity is necessary.To this end,we propose a seawater pumping multi-objective optimization method that considers compensation for regu-lation costs.This approach utilizes a bidirectional compensation mechanism for seawater pumping regulation,ensu-ring equitable benefits.Accounting for wind power uncertainty,we establish a multi-objective optimization model for the joint operation of wind and storage.The model integrates interests from different stakeholders by minimizing tracking errors between the joint output of wind and storage and the grid load,maximizing operational benefits from offshore wind energy,and optimizing seawater pumping revenue.The optimization decision variables include bidi-rectional compensation prices,seawater pumping upper reservoir capacity,and seawater pumping unit capacity.We employ the NSGA-Ⅱ method to obtain the Pareto front solutions,use the K-means algorithm to cluster the Pare-to front solutions as alternative scenarios,and apply the Analytic Hierarchy Process-Entropy Weight Method for subjective and objective weighting.Finally,the TOPSIS method is used to compare and rank alternative scenarios against the ideal solution.Simulation results validate that the proposed seawater pumping optimization capacity scheme balances the effectiveness of new energy integration with the interests of multiple stakeholders.
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