Researches On Coordination Control And Energy Optimization Of Micro-grid Based On Membrane Computing

Micro-grids have shown great potential and advantages in efficient application of distributed generations,flexible operation and schedulable performance.It becomes one of the main strategies to solve the energy crisis.Coordination control and energy optimization of micro-grid has been two hot topic in the research of micro-grid.The main goal of coordination control is to achieve stable operation.Then,the energy optimization of micro-grid to achieve the optimal operation needs to be further considered based on stable operation.However,due to the micro-grid structure,flexible control and diverse,it not only needs to consider the system stability,power quality and the impact for the grid,but also needs to consider the economic,environmental protection,application sites and other factors.Hence,further comprehensive and in-depth study of micro-grid coordination control and energy optimization technology are necessary.Membrane computing has great parallelism,powerful information processing,reasoning and modeling capabilities.Thus it can overcome various control system structure,meet diversified control needs of system and apply to solve a variety of practical problems.Therefore,combined with the theoretical model of P systems and membrane optimization algorithms,this paper has carried out the research on the coordination control and energy optimization of micro-grid.In terms of coordination control,this paper proposes Fuzzy Language Cell-like Fuzzy P System(FLCFPS)based on the P system and fuzzy theory,gives a detailed definition and a reasoning demonstration,summarizes its characteristics and compares it with other P systems.Then,FLCFPS is used to construct the coordination control system of micro-grid,including confirming the structure of micro-grid,selecting control objects,confirming input quantities,fuzzifying input quantities,establishing the basic control flow and modeling FLCFPS for various distributed generations.Then,a systematic reasoning test is made.Finally,the rationality and validity of FLCFPS coordination control system of micro-grid are verified by MATLAB simulation.The experimental results show that the FLCFPS coordination control system can effectively manage and control the micro-grid,realize the balance of power distribution,meet the reliability of important load power supply,maintain the stability of AC feeder frequency and improve the utilization rate of distributed power generations.In terms of energy optimization,Non-dominated Sorting Genetic Membrane-inspired Algorithm(NSGMIA)is proposed by combining the P system with the second generation non-dominated genetic algorithm,and the performance test is carried out.Then,the multi-objective energy optimization model of micro-grid is discussed based on the factors such as operating cost,pollutant emission and new energy utilization rate.Finally,NSGMIA algorithm is used to solve the multi-objective energy optimization model of micro-grid,and the comprehensive solution is selected by fuzzy decision.The two-objectives and three-objectives energy optimization of micro-grid are realized and the detailed experimental results are analyzed.The results show that the multi-objective energy optimization model can realize the comprehensive control strategy of cost,sewage and new energy utilization rate effectively.Using NSGMIA to solve the problem,the diversity and distributed of Pareto solution are much better.It improves the micro-grid operation and management level effectively.