Research On Economic Dispatching Of Combined Heat And Power Based On Multi-agent Crossover Algorithm

With the increasing scale of the power system and the deepening of the dependence of the development of various industries on power,economic dispatch is one of the most important issues in the operation of the power system.At the same time,energy is the basic material on which the country’s economic development mainly depends,and industrial energy is the basic industry of the national economy.The important material basis for the country’s “new infrastructure” strategic development and upgrading Industry 4.0 is also energy.In the stable development process of various countries in the world,energy is also regarded as one of the national strategic issues.As an industry that not only helps to improve energy efficiency,but also improves environmental problems,co-generation is suitable for sustainable development.However,there are related constraints on the demand for thermal power and units,and the interaction of co-generation has great constraints and difficulties on the economic allocation of thermal power production.Related heat and power load scheduling models and algorithms have always been an important hot topic for those engaged in energy research.Based on the traditional genetic algorithm,this paper proposes a multi-agent cross-over algorithm to discuss and analyze the economic scheduling problems of co-generation.First of all,this article introduces the co-generation load distribution model,including the objective function of the heat and power load,system load balance constraints and unit output constraints.Secondly,this article cites an artificial intelligence optimization algorithm-the crossover algorithm,introduces the theory,process principle,algorithm characteristics and application and development status of the algorithm in the power system.Based on the vertical and horizontal crossover algorithm is proposed to optimize the convergence speed and accuracy of the crossover algorithm.The execution process of the multi-agent crossover algorithm is analyzed,and how to realize co-generation scheduling Simulation of the model.Finally,this article designs simulation schemes for co-generation of four,seven,twenty-four,and forty-eight units.MATLAB is used to simulate the results.Through simulation experiments,reasonable dispatching strategies are proposed,and then simulation experiments with algorithms Compare and analyze.The results of the final experiment show the multi-agent vertical and horizontal crossover algorithm can solve the problem of co-generation economic scheduling,and has practical significance in actual scheduling production.