Research On Multi-objective Generation Scheduling Group Search Algorithm Based On Chebyshev Decomposition

With the gradual depletion of fossil energy,more and more new energy sources have been developed and utilized,but the stability and security of power system are also affected by more and more uncertain factors.Power generation scheduling optimization technology is not only the important link to abandon the wind power system and discard but also the key to reduce the cost of power generation,reduce environmental pollution and promote the healthy development of the national economy.Under the scenario of large-scale of load supply and demand relationship,it is an effective method to solve the economic operation and maintain stability of power network by allocating power plant effectively and synthesizing the optimization of different power generation indexes.Therefore,it is important to study the optimization method of multi-objective generation dispatching in power system for developing our country's economic and adjusting energy structure.A new multi-objective power generation model is proposed.Based on the conventional thermal power model,it can effectively alleviate the electric pressure of power system through outputting the electricity and wind power of V2G(Vehicle-togrid)network.We take generation cost,pollution gas emission and network loss as the optimization goals.Under the constraint conditions of the model such as power balance constraint,upper and lower limit constraint,line safety constraint and rotation reserve constraint,we constructed a kind of new power generation model,that's V2 G network and the wind power dispatching model.In my paper,I put forward a Multiobjective Group Search Optimization algorithm based on chebyshev decomposition(MGSO/D).The MGSO/D algorithm decomposes a multi-objective problem into several sub-problems by chebyshev decomposition method,and the euclidean distance are used to form subgroups for these subproblems in sequence.After a group serach algorithm is used to solve a problems in each subgroup problems,the solution of other subproblems are quickly given by the similarity of the subproblem information.The above process is repeated until the termination condition is satisfied.Then the solution of the multi-target generation scheduling problem is achieved.The scheduling method is verified by new power systems with V2 G and wind power.The proposed algorithm and the proposed multi-target generation scheduling model of power system are programed based on Matlab R2014 a platform.The two test systems of IEEE-30 node and IEEE-118 node with V2 G network and wind power generation are constructed respectively,and two targets and three target scheduling models are built respectively.The three typical algorithms of NSGA-II,MGSO and MOEA/D are selected to compare with the proposed algorithm.The robustness of the multi-target generation scheduling group search algorithm based on chebyshev decomposition is discussed.Also,the influence on power generation scheduling caused by the uncertainty of electric vehicle and wind turbine is studied.The multi-target generation scheduling model of V2 G network and wind power generation can make up defects that the existing scheduling model without considering the two power sources.This paper proposes a multi-target generation scheduling group search algorithm based on chebyshev decomposition which can solve the problem of multi-target generation scheduling.The simulation result shows that the proposed algorithm is effective and feasible.Group search algorithm based on chebyshev decomposition is proposed,which can solve the difficultity of new multi-objective power generation model.The simulation results show that,the algorithm proposed in this paper based on chebyshev decomposition is effective and feasible.