Research On Optimization Scheduling Of Combined Cooling Heating And Power Based On M Ulti-objective Water Cycle Algorithm

As a country's strategic reserve resource,energy is the material basis of economic development and an important guarantee for people's lives.In today's society,energy shortage,environmental pollution and climate change are important factors restricting the sustainable development of the world economy and society,so energy conservation and environmental protection are the top priorities of China's development.As an important part of the energy internet,the combined cooling,heating and power system relies on natural gas as the main fuel during operation.While supplying electricity,it can also provide heating and cooling loads and use energy in a stepwise manner.The rapid development of the CCHP system in recent years is due to its flexible scheduling of cooling,heating,and electrical loads,to save energy and improve system economics.Not only that,the CCHP system can also be driven by renewable energy,reducing pollutant emissions and alleviating environmental problems.This paper studies the structure of distributed energy and CCHP systems,mathematically models each distributed energy and each unit of the CCHP system,and establishes a distributed energy Optimize the model.The Water Cycle Algorithm is an algorithm based on the water circulation process in nature,and is designed to solve engineering problems with constraints.At present,the WCA algorithm has been applied in many aspects,such as function optimization and mechanical engineering optimization.Moreover,when optimizing these problems,the WCA algorithm can often obtain better results than other algorithms,demonstrating its good ability to find optimization.Therefore,applying WCA algorithm to more complex engineering optimization has important research significance.In this paper,the water cycle algorithm is used to solve the optimal scheduling model of the combined cooling and heating power system with distributed energy.Through a case study,daily load of a building on typical winter and summer day,the simulation operation is performed using matlab programming to verify the algorithm effectiveness,and the result of WCA algorithm optimization is compared with PSO algorithm and GA algorithm to verify the superiority of the algorithm in dealing with such problems.The multi-objective optimization problem has always been a difficult point.In this paper,the concept of the Pareto optimal and crowded distance mechanism is introduced,and the original water cycle algorithm is improved to make it a multi-objective water cycle optimization algorithm that can solve the multi-objective optimization problem.Multi-objective optimal design for scheduling problems of CCHP system.In this paper,a multi-objective optimization model based on operating costs and carbon dioxide emissions is established.The multi-objective water cycle algorithm is used to optimize and solve two examples under real-time electricity prices and time-sharing electricity prices.The results show that the multi-objective water circulation algorithm can effectively obtain the Pareto solution,and the Pareto solution is evenly distributed.Compared with the water cycle algorithm,the multi-objective water cycle algorithm can simultaneously optimize multiple targets to make the system find the optimal solution set.Then use fuzzy mathematics to find the optimal set of solutions,and analyze the output of each unit under the optimal solution.The optimal solution can be obtained by comparing two examples.The real-time electricity price model of demand response on a day's operating cost is lower and carbon dioxide emissions are less.It can be seen that the model has better economy and environmental protection.