Optimal Scheduling Of Seawater Pumped-storage/wind/solar Hybrid System

The rapid development of new energy,represented by wind energy and photovoltaic energy,provides a new solution for island power supply,which is difficult to connect with the mainland.Seawater pumping and storage station has abundant seawater and little change in water level,which is suitable for the operation of reversible turbines,and it does not need to build a reservoir separately.Considering the stable and economic operation of island power supply system,this paper proposes an island micro-grid power supply scheme for seawater pumped storage power station as power generation and energy storage,which cooperates with wind farm,photovoltaic power plant and diesel engine group:The main work of this paper is as follows.In this paper,the island pumped storage wind-solar complementary combined power supply system is taken as an example,requiring the minimum integrated input cost of the power supply system in operation.This paper analyses the complementary power supply system of,wind and solar pumping and storage,and the basic composition and generation principle of wind turbine,solar cell square array and pumping and storage generator,and briefly introduces its output characteristics,load and operation conditions.In this paper,the integrated input cost of the combined system is taken as the objective function,and the primary input cost of the equipment,the penalty of power shortage,the penalty of energy waste,and the subsidies of power generation are considered respectively.The basic constraints of wind power,photovoltaic power,pumped turbines and diesel generators are analyzed;the power balance is taken into account;,and the forecast load on typical days is combined.Finally,a wind-solar complementary multi-energy combined power supply system based on seawater pumped storage is established for optimal dispatch.At the same time,an adaptive fuzzy particle swarm optimization algorithm is proposed to solve the single objective constrained optimization problem.Firstly,the basic principle and algorithm of PSO are introduced briefly.Secondly,aiming at the problems of premature,convergence speed,local and individual optimum of PSO algorithm,a particle swarm optimization(PSO)algorithm with adaptive fuzzy reasoning is proposed to adjust inertia weight.Secondly,in order to solve the constraints of seawater pumped storage wind-solar multi-energy complementary combined power supply system,penalty function method is adopted.A larger penalty term transforms the constrained problem into an unconstrained optimization problem.The penalty function method is combined with the adaptive fuzzy particle swarm optimization algorithm,and is programmed by MATLAB.Finally,a set of solutions with optimal economy and satisfying constraints are obtained.The practical example shows that the adaptive fuzzy particle swarm optimization algorithm is used to optimize the dispatch of the output of each generation unit in the wind-solar complementary power supply system,which reduces the cost and energy waste on the premise of ensuring the reliability of the power supply system.