Optimal Scheduling Of Regional Comprehensive Energy System For High Proportion Renewable Energy Consumption

The operation modes of various energy sources in the traditional energy supply network are relatively independent and weakly related.With the rapid development of new energy supply technologies based on renewable energy and distributed energy,the diversification of energy sources on the demand side has promoted the coupling of various energy supply networks.In this context,the Regional Integrated Energy System(RIES),which integrates renewable energy,natural gas,thermal energy and other forms of energy with the power system as the core,has gradually developed.However,the high proportion of renewable energy in RIES will greatly increase the operating pressure of the system.How to achieve the optimal dispatch of RIES and improve the utilization efficiency of various energy sources while ensuring the high penetration rate of renewable energy has become a research focus.Integrated Demand Response(IDR)is an extension and expansion of traditional power demand response under the multi-energy coupling characteristics of RIES.It encourages multi-energy users to participate in system dispatch and realizes two-way interactive communication between the power generation side and the user side.Safe and stable operation provides new control methods.In addition,Power-to-Gas(P2G)equipment,as a new type of energy conversion equipment,can convert electrical energy into natural gas for supply to gas turbines or storage,and is an effective means of consuming abundant renewable energy.Therefore,this paper takes into account the comprehensive demand response of electricity,heat and gas,and the operating characteristics of P2 G equipment in the optimal scheduling of RIES with high proportion of renewable energy,in order to achieve the coordinated optimization of multiple energy sources,and achieve the purpose of promoting energy conservation and emission reduction,improving the renewable energy consumption rate and operating economic stability.In the electric-gas-heat regional integrated energy system containing Power-to-Gas(P2G)equipment,the response capability and dispatchable value of various loads on the demand side in RIES will be changed from the original consideration of only electricity prices.The demand response is expanded to the electrical and thermal integrated demand response,and the IDR model of the heating system inertia that takes into account the commodity attributes of electric energy and natural gas energy and thermal energy is established.On this basis,considering the randomness of wind power output,with the least comprehensive operating cost,the least carbon emissions,and the highest energy efficiency utilization as the optimization goals,the RIES day-a-day multi-objective stochastic optimization scheduling model was constructed.Then use non-dominated sorting genetic algorithm(NSGA-II)to solve and output Pareto optimal frontier solution set.The simulation example sets up 4scenarios to analyze the impact of IDR,P2 G,and energy storage equipment access on the optimal operation of RIES.The results verify that the established optimal scheduling model can not only improve energy efficiency,but also ensure the environmentally friendly and economic operation of the system.Electricity to hydrogen is the core and foundation of P2 G equipment,so this article further explores the value of hydrogen in the P2 G process in RIES,and establishes a system model that includes two-stage operation of P2 G equipment,hydrogen storage tanks and hydrogen fuel cells.In addition,considering the uncertainty of the functional relationship between user energy and energy prices,the price elasticity coefficient is used as a fuzzy variable to establish a random IDR model.On this basis,with the goal of minimizing the overall operating cost of energy purchase,equipment maintenance and wind curtailment,and the lowest system carbon emissions,a day-to-day multi-time-scale stochastic optimization scheduling model is constructed.Fuzzy opportunity constraints are used to deal with the fuzzy variables of demand response,and the model is solved after clear equivalence classes.The simulation results show that the efficient use of hydrogen can further promote the energy cascade utilization of the system,and the multi-time-scale optimization scheduling model that introduces the uncertain IDR is more conducive to the stable operation of the system,reducing the operating cost of the system,and improving the wind power absorption capacity of the system.