Dynamic Environmental Economic Dispatch Of Power System Based On Differential Crisscross Optimization

With the rapid development of economy,the demand for electrical energy in our country has continued to rise.At the same time,the power industry,as a major consumer of fossil energy consumption and pollutant emissions,is strictly controlled by the government in terms of energy conservation and emission reduction.In this context,how to reasonably distribute electrical energy and take into account environmental issues caused by the development of electricity has become an important issue in the field of economic dispatch.As well as,the large-scale access to wind power and plug-in electric vehicles has brought great challenges to economic dispatch of power system.The research contents of this article are as follows:First,a new application of the hybrid heuristic algorithm integrating CSO and DE is presented for robust,efficient,and accurate optimization of the DEED involving wind energy and PEVs.Combining the advantages of CSO algorithm and DE algorithm,a hybrid differential crisscross optimization algorithm is proposed.First,a global optimal variable is introduced to improve the horizontal crossover operation to improve the convergence rate of the algorithm.Secondly,a parameter adaptive method with self-learning capability is proposed to improve the robustness of the differential evolution algorithm.Finally,based on the concept of Pareto and the introduction of elite retention strategy and the diversity measurement strategy based on crowded entropy,the hybrid differential crisscross algorithm is extended to the field of multi-objective optimization.Second,a mathematical model of the wind speed probability distribution is derived according to the Weibull distribution,and then the wind speed probability distribution is converted into a kind of wind power probability model.On this basis,a dynamic economic dispatch model of the power system considering wind power is proposed.The scheduling model comprehensively takes into account the valve point effect,network loss,and climbing rate,taking the power generation cost as the optimization goal.Considering that the DED problem is a dynamic non-convex complicated problem characterized by nonlinearities,severe constraints,and multi-peaks,a lot of infeasible solutions will be generated in the solution process.For this,a repair technique is proposed to deal with the constraints to avoid discarding useful infeasible solutions.Third,due to the increasingly serious environmental problems,in addition to economic costs,the amount of polluting gases emitted by the power system must also be taken into account.Therefore,aiming at reducing economic costs and reducing pollution emissions simultaneously as optimization objectives,a dynamic economic environment dispatching model for power systems considering wind was proposed.The scheduling model takes into account the valve point effect,network loss,and climbing constraints of the generators.Fourth,a large number of plug-in electric vehicles(PEVs)are connected to the network.Due to people’s living habits,if they are not controlled,it will cause a large difference in peak and valley load demand.The dynamic economic environment dispatching with consideration of Plug-In electric vehicles for peak shaving and valley filling has been proposed,with the objective of simultaneously reducing economic costs and reducing pollution emissions.The V2 G and G2 V technology was used to shave the peak and fill the valley of load demand.The dispatching model takes into account the valve point effect,network loss,and climbing constraints of the generator,as well as constraints of vehicle travel requirements and PEVs.Example calculations are performed from the four aspects of dynamic economic dispatch considering wind,dynamic environmental economic dispatch considering wind,dynamic environmental economic dispatch for peak shaving and valley filling of PEVs,and dynamic environmental economic dispatch considering wind and PEVs.The optimization results prove the effectiveness and superiority of the hybrid differential crisscross optimization algorithm proposed in this paper in solving power system dispatch problems;Wind power grid connection can save energy and reduce emissions to a certain extent;peak shaving and valley filling of PEVs can well cushion load shocks and optimize load peak and valley differences.It is a very effective method to solve the dynamic economic / environmental dispatch of the power system.