Operation Control And Optimal Configuration Of AC-microgrid In Intelligen Zones

In order to alleviate the energy crisis and meet the needs of new energy,micro-grid system which consists of a variety of distributed power,load,energy storage devices and controlling devices has been widely attention.However,the photovoltaic cells in the micro-network system are influenced by the external natural factors,and their output energy has the shortcomings of intermittent and randomness,which will affect the energy supply stability of the system.In this thesis,the simulation model of photovoltaic cells and maximum power tracking control MPPT,lead-acid battery,gas turbine and PQ,V/f control strategy are established in Matlab / Simulink.The principle of PQ decoupling and V/f double closed-loop control structure are analyzed.The validity and correctness of the model are verified by the examples.In order to take advantage of the waste heat from the gas turbine,overcome the waste of energy caused by intermittent and random of the uncontrollable micro-source,improve the energy utilization rate and the effect of micro-grid on the stability of power grid,under the structure of AC micro-grid,a multi-supply micro-grid is made up of the distributed photovoltaic,small gas turbine,waste heat boiler,lithium bromide absorption device,electric boiler,electric heating and cooling equipment,storage tanks and lead-acid batteries.The system has the characteristics of multi-energy coupling and different working characteristics of each micro-source.How to optimize the equipment capacity according to the climate,resource conditions and load characteristics,so as to ensure the balance of system power,which is not only related to the economy and rationality of the system,but also to a large extent determine the reliability of the system.In this thesis,the optimization model of configuration optimization and operation is established under the energy supply reliability as the premise and the system net income as the optimization target.The optimization variables of the model are the equipment capacity and the equipment output.Genetic algorithm and linear programming are used to optimize the configuration and operation of the microgrid respectively.The optimized configuration retains the contemporary optimal individual through the genetic algorithm GGAP.The constraints of the operation optimization are analyzed.In order to eliminate the individuals that do not meet the requirements of energy supply,so as to accelerate the speed of convergence,the penalty term is introduced in the operation optimization objective function.Finally,the optimization scheme is validated by an comprehensive community,and the factors such as load characteristics,climate parameters,the prices of energy and government subsidy are analyzed.The simulation results show that the microgrid is economical and has the value of promotion under the condition of the existing price system and comprehensive community.