Research On Energy Optimal Scheduling Of Multi-energy Complementary Isolated Island Microgrid

For isolated island microgrids,safe and reliable energy supply,and efficient and intelligent management systems are indispensable.Generally speaking,the power generation module of small and medium-sized isolated island energy systems which using off-grid power supply mode mainly include diesel generators and distributed renewable energy.In order to bring down the wind and photovoltaic output fluctuations caused by environmental factors,increase the penetration rate of distributed renewable energy,and reduce the pollution brought by diesel generators,to coordinate a variety of power generation technology,insure the stable and economic operation of system at the same time,the need to develop a flexible and reliable energy systems,and efficient and smart scheduling strategy.In this paper,the power-to-gas technology is introduced to construct a comprehensive energy system with multi-energy complementary electric-gas network and deep coupling.By introducing cooperative game and non-cooperative game analysis methods,five possible game planning models are constructed considering the inherent characteristics of each module and the actual coupling.Firstly,based on the established game planning model,four energy optimal scheduling schemes are proposed under the fixed time sharing pricing mechanism,and particle swarm optimization algorithm is used to solve each model on Matlab platform.Through analysing the energy scheduling policy of each scheme,it can be found that in the cooperative game model under the collaborative response of hydrogen-oxygen fuel cell and gas turbine can significantly decrease the rate of abandoned wind and photovoltaic,each participant will receive a fair revenue,and total revenue reached the highest in the system.Besides,it also has a huge advantage in terms of energy conservation and environmental protection.Secondly,considering the output characteristics,economy and environmental protection of wind,photovoltaic and diesel generator comprehensively,the dynamic electricity price incentive mechanism involving wind,photovoltaic and diesel generator output is established.When wind and photovoltaic consumption increase,the price of electricity increase,and when the output of diesel generator increases,the price of electricity decreases.In a word,the independent optimization of dynamic incentive price model is realized with the goal of economy.Based on the proposed game planning models,three energy scheduling schemes are proposed under the dynamic incentive electricity price mechanism,and the particle swarm optimization algorithm is used to solve the models on the Matlab platform.The solution results show that under dynamic incentive electricity price mechanism,the system can maximize the absorption of distributed renewable energy,effectively reduce the output share of diesel generator set,and achieve pollutant emission reduction.Besides,it also can ensure the maximization of the total revenue of the system and the minimization of electricity purchase cost of users.