Research On Multi-objective Environmental Economic Dispatch Based On Improved Whale Optimization Algorithm

Multi-objective environmental economic dispatch(MOEED)is an important regulation means to realize the optimal operation of power system.Under the requirements of system security,stability,and economic operation,the multiple objective of the system are within the dispatching cycle can be optimized by reasonably regulating the active power output of generating units.MOEED incorporates the emission objective of polluting gas into the system,and considered the two objective functions of fuel cost and emission of polluting gas at the same time,so as to meet the sustainable development requirements of both economic benefits and environmental protection,replacing the traditional economic scheduling model and becoming a new research hotspot.This thesis introduces the related concepts of multi-objective optimal problems(MOP)and environmental economic dispatching problems.The mathematical model of multi-objective environmental economic dispatch,which includes four objective functions,three equality constraints and four inequality constraints is established.Aiming at the shortcomings of the standard whale optimization algorithm(WOA),a new whale optimization algorithm(NWOA)is proposed by introducing several improvement strategies,and four benchmark test functions are used to verify the effectiveness and superiority of NWOA.Aiming at the highly constrained problem of MOEED,a constraint handling based on Pareto-dominant(CHP)method is proposed to ensure that the solution of the algorithm is guaranteed to meet the constraints of the system.Aiming at the solution set sorting problem of MOEED,a new non-inferior sorting method is proposed to improve the screening method of multi-objective solution sets,and the new multi-objective whale optimization algorithm MONWOA-CHP proposed in this thesis is obtained.In order to compare the pros and cons of that power flow calculation method and Krons loss formula method to solve the circuit network loss,two test case simulation experiments were carried out in the IEEE 30-node system,the experimental results indicate that the power flow calculation method has better performance than the Krons loss formula method in solving the objective function of network loss.In order to verify the effectiveness and superiority of the MONWOA-CHP algorithm in solving the MOEED problem,MONWOA-CHP,MOPSO,NSGA-II and standard multi-objective whale optimization algorithm(MOWOA)are applied to IEEE30,57 and 118 node systems to carry out the simulation experiments of eight cases.Then,the performance of the four algorithms is assessed comprehensively by multi-objective evaluation indicator,the average running time of the algorithm and operation stability of the algorithm.Finally,the experimental results indicate that the MONWOA-CHP algorithm has a better performance when solving the MOEED problem,and has a more obvious competitive advantage.