Research On Environmental Economic Dispatch Of Power System Under Different Peak Regulation Depths

In the context of “carbon neutrality and emission peak”,the pressure for “energy conservation and emission reduction” continues to mount,promoting a green-oriented transition of energy has become one of important strategic objectives of China’s social and economic development,and we should accelerate the pace of building a new type of power system with new energy as the main body.The large-scale new energy connected to grid will definitely bring huge pressure on the peak-load regulation.At present,the power source structure of most power grids in our country is still dominated by thermal power.With the continuous increase in the penetration rate of new energy and the development of the new type of power system,the role of traditional thermal power will gradually change from power source to power adjustment.At this stage,thermal power units will undertake most of the power generation and the peak-load regulation of the power grid,so as to improve the accommodation capacity of the power grid to new energy.Therefore,this paper will study the model for environmental economic dispatch(EED)of thermal power units under large-scale wind power connected to grid at different depths of peak-load regulation and the corresponding solving algorithm.The traditional environmental economic dispatch focuses on the cost of coal consumption and pollution emissions,based on which,this paper establishes a multi-objective environmental economic dispatch model at different depths of peak-load regulation considering the operating cost of energy-storage system including wind power by analyzing the characteristics of peak-load regulation of different thermal power units,taking into account the different costs of peak-load regulation of thermal power units under large-scale wind power connected to grid at different stages of peak-load regulation according to four different states of peak-load regulation.And the compromised solution of Pareto solution set is selected as the solution of environmental economic dispatch with fuzzy membership function.Then a kind of environmental economic penalty factor suitable for different depths of peak-load regulation is proposed to transform the multi-objective model into a single-objective optimized joint environmental economic dispatch model.For the problems that the original grey wolf optimization(GWO)has insufficient diversities of population initialization,insufficient searching ability in the early stage of the algorithm,and is easy to fall into local optimum in the later stage,the good point set method is introduced to enrich the diversities of the initial population,the control parameters are modified to improve the searching ability in the early stage of the algorithm,and a cooperative competition strategy is proposed to improve the global convergence ability of the algorithm.The effectiveness of improved gray wolf optimization(IGWO)and improved multi-objective grey wolf optimization(IMOGWO)is verified through three typical single-objective optimized test functions and three UF series of multi-objective optimized test functions.The constraint conditions of system operation are met by setting the relevant constraint factor and penalty function method,the objective fitness function in modified multi-objective EED model and single-objective joint EED model is obtained,and the improved gray wolf optimization is adopted to solve.First,in the example 1,multi-objective EED and joint EED at different depths of peak-load regulation are solved respectively in all the time with full wind power accommodation,and the influence of different depths of peak-load regulation on environmental economic dispatch is analyzed.Second,the optimized results of different dispatch models in each algorithm as well as the optimized results of multi-objective EED and joint EED are compared to further prove the effectiveness of the improved gray wolf optimization in solving the model built in this paper.Based on example 1,the wind curtailment penalty function is considered and energy-storage system is added to improve the ability of peak-load regulation in the example 2 to solve the joint environmental economic dispatch model under large-scale wind power connected to grid at different depths of peak-load regulation,to analyze the influence of energy-storage system at different depths of peak-load regulation on optimized objectives such as power-production cost,pollution emissions,wind curtailment rate and the output of thermal power units.