Based On NSGA2 Algorithm For Optimization And Controlling The Hybrid Energy System

With the continuous development and progress of our society,people's demand for energy is increasing,which cause a series serious problems such as the shortage of fossil fuels and worsening environmental pollution.So our country also pay the high attention to this problem,trying our best to promote sustainable development,improve energy efficiency,save energy and reduce emission have becoming the the key of the priority study.As the largest primary energy consumers and converters,the electric energy takes the great responsible for energy saving and emission reduction.The effective use of renewable energy is one of the effective measures to promote energy conservation and emission reduction.In this paper,combing the renewable solar energy with clean energy power together to construct a hybrid energy system,due to the solar has the character of random and intermittent,put the solar,air source heat pump and electric furnace together can effectively protect the user needed in daily life and also guarantee high energy efficiency and low emissions.In the running process of the system requirements,it need to maximize the use of solar energy,reduce power consumption,maximize the energy efficiency ratio of the system,how to balance these three indicators has become a major problem in our study.In order to solve the multi-objective optimization problem,mainly accord to the multi-object complex energy system,this paper establish the mathematical model and design the solution method.Due to the the traditional multi-objective optimization method mainly uses the target weight and artificial selection,the solution is subjective,and the conventional NSGA2 algorithm has the local convergence problem,then this paper put forward the normal distribution of crossover operator is introduced into the conventional NSGA2,to enhance the search ability of the algorithm,through the example compared the energy efficiency ratio after optimization algorithm with non optimized energy efficiency ratio,which indicted that after the optimization of the energy efficiency of the system energy efficiency ratio was significantly higher than the actual efficiency ratio.It also proves the correctness and effectiveness of the model and algorithm,at the same time in order to verify the feasibility of applying to the practical,using the MATLAB/SIMULINK modeling and simulation,in order to put the establish model into the practical application also adopting the fuzzy self-tuning PID algorithm to control hybrid energy system,through the analysis and comparison of PID and conventional single loop and cascade PID,show that the fuzzy self-tuning PID algorithm has the obvious advantage in overshoot and adjustment time or the steady state error and anti-interference,the superiority of the algorithm in the control of complex energy system is fully demonstrated,and it has a certain guiding significance and reference value for further research on the optimization and control of hybrid energy system.