Studies On Environmental Economic Dispatch Of Power System With Wind Power Based On MOMPA-DE Algorithm

With the gradual depletion of global fossil energy and the increasingly serious environmental pollution problems,the environmental economic dispatch of the power system has become a hot topic for the scholars.The environmental economic dispatch of the power system is a complex multi-objective optimization problem with constraints.It aims at minimizing the fuel cost and pollutant emission simultaneously.The objectives conflict with each other and are constrained by various operating conditions.Therefore,it is necessary to find an efficient and reasonable optimization algorithm to solve the problem.In addition,the use of clean and renewable wind energy for power generation can reduce the power system’s dependence on fossil energy and pollutant emission,which contributes to the sustainable development of the society,and it is another effective way for the power system to reduce fuel cost and pollutant emission.However,the randomness and intermittent nature of the wind power make the power dispatching of the power system after wind power grid-connected become complicated.This thesis conducts related research work on the environmental economic dispatch of the power systems after incorporating wind turbines.The main research contents are as follows:(1)The hybrid multi-objective optimization algorithm MOMPA-DE.Aiming at the multi-objective optimization problems,a hybrid multi-objective optimization algorithm based on the single-objective marine predator algorithm and the single-objective differential evolution algorithm is proposed,which is called MOMPA-DE algorithm.In this algorithm:1)The marine predator algorithm is improved to enhance its optimization performance;2)The single objective marine predator algorithm is extended to the multi-objective field by using the concept of Pareto dominance;3)Differential evolution algorithm is carry out on the individuals in the external archive to improve the exploitation and convergence abilities of the proposed algorithm;4)The method based on non-dominated sorting is introduced to update the top predator and maintain the external archive,and the archive maintenance strategy based on the new crowding distance is used to improve the uniformity of the Pareto optimal front;5)For the various constraints of the problem,a constraint processing method in which feasible solutions dominate is introduced to obtain feasible solutions.Through four multi-objective test functions with and without constraints,the effectiveness of the proposed algorithm in solving multi-objective optimization problems is verified,which shows that it will have a good application prospect as the basis for solving static and dynamic environmental economic dispatch problems with wind power.(2)Static environmental economic dispatch with wind power.In order to minimize the fuel cost and pollutant emission of the power system at the same time,a static environmental economic dispatch model with wind power is established.Aiming at the uncertainty of wind power generation,the model uses two parameter Weibull probability distribution function and chance constrained programming technology to model wind power as a constraint of the system,and comprehensively considers various equality and inequality constraints,such as unit output power limit,rotating reserve capacity limit and system power balance.In addition,the cost caused by valve point effect and network transmission loss are also considered in the model.Experiments on two test systems with wind power show that: 1)Compared with the results in the literature,the MOMPA-DE algorithm can provide better optimal cost solution,optimal emission solution,and optimal compromise solution;2)The Pareto optimal front obtained by MOMPA-DE algorithm has good uniformity,convergence and coverage.(3)Dynamic environmental economic dispatch with wind power.The static environment economic dispatch considers the unit output distribution problem in a single time period,while the dynamic environment economic dispatch considers the unit output distribution problem in multiple time periods,which is more in line with the actual power dispatch.Based on the static environmental economic dispatch model with wind power,a dynamic environmental economic dispatch model with wind power is established in this thesis.In the model,in addition to the constraints such as unit output limitation and spinning reserve capacity,the output fluctuation of the wind power in different periods and the climbing constraints when the unit output is switched in different periods are also considered.Through the simulation analysis of two test cases with and without wind power,it can be concluded that: 1)The solutions obtained by the MOMPA-DE algorithm are better than the results reported in the literature;2)The fuel cost and pollution emission of the traditional thermal power generation system are reduced after adding wind turbines,which can achieve good economic and environmental benefits.