Research On Optimal Configuration Of Energy Hub Based On Full Duplex Mode

Among the many modeling methods for integrated energy systems,the energy hub,as one of the important models for analyzing multi-energy systems,can promote the synergy and complementarity of multiple energy sources such as electricity,heat,and gas.However,the current energy hub transmission method is still the traditional simplex and half-duplex transmission.The supply and demand sides have the simultaneousness of out-of-the-box,and the excess energy cannot be stored well.The reverse peak regulation characteristics of wind power and photovoltaic power also make the problem of wind and light abandonment not be solved effectively.Insufficient energy conversion efficiency,low energy utilization,severe heat,wind and light abandonment problems,single trading methods to maximize revenue,and insufficient utilization of renewable energy need to be resolved.Under the assumption that the energy market is liberalized for free trading,a full-duplex transmission mode containing P2 G device energy hub model is proposed and the energy conversion equipment and energy storage equipment are modeled.Among them,energy conversion equipment includes micro gas turbines,electric boilers,and P2 G devices,and energy storage equipment includes batteries,heat storage tanks,and gas storage tanks.The optimization objective is to minimize the overall operating cost of a typical daily load within a 24-hour period,including initial investment costs,operation and maintenance costs,and pollution emission penalty costs.Take the constraints of power of tie line,micro gas turbine power generation,energy storage capacity,and electrical,thermal,natural gas load balance into account.Then,an improved annealing particle swarm optimization algorithm that introduces crossover and mutation operations is used to optimize the coordination of control variables to achieve the optimization goal that minimizes the running cost based on the time period rate structure.Finally,it is verified through the case of the energy hub test area that the energy hub achieves the goal of reducing comprehensive operating costs in the full-duplex mode.