Study On Source-load Joint Multi-objective Optimal Scheduling For Promoting Wind Power,Photovoltaic Consumption

The electricity generated by wind power and solar power is important in easing fossil energy depletion and environmental pollution.But with features of intermittence,volatility and uncontrollability,wind power and photovoltaic(PV)have brought about outstanding impacts on grid operation and control,and annually aggravating wind and solar abandonment impedes the realization of clean alternatives and energy structure transitions.To balance wind power and PV fluctuations and solve large-scale renewable energy accommodation contradiction,the paper started from optimizing grid resources to improve grid dynamic balance performance,studied strategies of multi-objective optimal dispatch of renewable energy power system,so as to take account of new energy utilization efficiency,grid security and economic operation.First,from the prospect of grid dispatch to coordinate the “source” and “load” sides,the study deeply analyzed the short-term operation,complementarities,and flexible load response characteristics of wind,PV generation,cascade hydropower and thermal power and tested the feasibility of source and load optimal dispatch.Targeting at the features of large quantity and difficulties in direct control of flexible load(FL)resources,combining national market construction situation,the paper explored the demand side optimizing control strategies on the basis of load aggregators scheduling framework and bilateral contract interaction,so as to realize reliable source and load interaction.With the purposes of reducing abandonment and strengthening systemic economy,the research regarded flexible load resources as “virtual interactive power plants” to participate in electric quantity balance and standby application.A novel multi-objective source-load joint dispatch model based oncomplex space-time coupling constraints,considering alternative energy utilization,conventional thermal power balance,cascade hydropower and systemic economy,was presented,which was decoupled into two-stage optimization model consisting of multilateral wind-PV-thermal-load coordination and cascade hydropower economic distribution.Then the study putted forward Multi-Objective Firefly Algorithm(MOFA)on the basis of Pareto and elite archive mechanism,as a solution of high dimensional complex multi-objective model.Targeting at the disadvantage of low efficiency of Firefly Algorithm,the study improved with thoughts guiding the flight direction of adopting Particle Swarm Optimization(PSO)and strategies of species combination,and tested the correctness of algorithm through standard test system.It adopted Multi-Objective Firefly Algorithm and Single-Objective Firefly Algorithm to solve two-satge optimization model problems.Under the standard test system of IEEE-30,the study compared dispatch schedules under situations in different levels of alternative energy access in the end.The results indicate the rationality of the model and efficiency of source and load joint operation in improving economic,social and environmental effects;the solution of power system multi-objective model reflects fast convergence rate and good optimization effect,has relatively strong adaptation.