Dynamic Environmental Economic Dispatch Of Power System Considering Multiple Uncertainties

With the introduction of the concept of carbon neutrality and carbon peaking,the need to build a new power system that gradually replaces traditional fossil energy with renewable energy is becoming more and more urgent.Renewable energy sources such as wind power,photovoltaics,and small run-off hydropower,as clean energy sources that rely entirely on natural resources for power generation,are the development trend of new power systems.However,the output of renewable energy has great uncertainty,and when it is connected to the grid on a large scale,it will have a great impact on the safe operation of the power system.Therefore,how to solve the uncertainty caused by the grid connection of renewable energy is of great significance to the environmental and economic dispatch of the power system,and it is also conducive to meeting the country's macro strategic requirements for energy conservation,emission reduction,and construction of a green power system.In this context,this article comprehensively considers the environmental economic dispatch model composed of wind power,photovoltaics,small-scale run-off hydropower and conventional thermal power units,handles the uncertainty of renewable energy,and develops the environmental economic dispatch model and solution method.The main contents of the research are summarized as follows:(1)Regarding the uncertainty of the grid-connected output of wind power,photovoltaic and run-off small hydropower,the Weibull probability density function,lognormal distribution function and Gumbel probability density function are used to simulate wind speed,light intensity and river flow.Then the Monte Carlo simulation method is used to simulate the distribution of renewable energy output.(2)A power system environmental economic dispatch model including wind power,photovoltaic,and run-off small hydropower is built with the goal of the best economic cost of power system operation and the smallest amount of pollutant emissions,and comprehensively considers power balance,active and reactive power output,Conventional thermal power units have restrictions on prohibited operating areas,unit ramp rates,and network security.Regarding the uncertainty of renewable energy,a penalty mechanism and a reserve mechanism are adopted.When the actual output of renewable energy is higher than the predicted output,the reserve cost needs to be borne;when the actual output of the renewable energy is lower than the predicted output,the penalty cost needs to be borne.And consider the static and dynamic environmental economic dispatch models respectively.(3)For the solution of the environmental economic dispatching model,in view of some problems in the intelligent optimization algorithm,a non-dominated sorting improved teaching optimization algorithm is proposed,and combined with the infeasible solution constraint processing technology,the Pareto optimal solution set is obtained by solving the problem,and the optimal compromise solution is determined by fuzzy decision-making technology.Through static environmental economic dispatching examples and dynamic environmental economic dispatching examples,the feasibility and effectiveness of the model and algorithm are verified,and compared with other intelligent optimization algorithms,the advantages and disadvantages of the Pareto frontier and the optimal compromise solution are compared.Verify the superiority of the proposed algorithm in solving the problem of environmental economic dispatching model.