Study On Peak Regulation Optimization Strategy Of Multi-energy System Based On Price Incentive

In the development of global multi-energy supply and demand,the scale of renewable power generation in China increases with the increase of load demand.In the complex change of coordinated output of multi-source units,the load peak-valley difference of multi-energy systems is increasing.In order to maintain the power balance between supply and demand of multi-energy,the multi-energy price incentive method is adopted.The electricity-gas-heat price is set in one pricing,and the price incentive strategy is implemented for users and energy storage companies to effectively improve energy utilization and effectively solve the peak shaving ability of power grid.Therefore,the development of multi-energy price incentive has been favored by all countries.However,the dynamic imbalance between energy supply and demand of multi-energy system has led to the fluctuation range and uncertainty of multi-energy spot market price,which has brought great challenges to the peak shaving optimization of price incentive system.Therefore,this paper proposes a price incentive multi-energy system peak shaving optimization strategy.In order to meet the demand of peak shaving optimization of multi-energy system,this paper studies the formation mechanism of electricity-gas-heat price.The main research contents of this paper are as follows:Firstly,according to the output characteristics of power units,electric boilers,power to gas(P2G)and energy storage equipment,the source-load-storage energy output and regulation characteristics model of multi-energy system is studied.The adjustment coupling method between units is used to adjust the source-load-storage energy coupling of multi-energy system.Through the energy conversion principle between electricity,gas and heat,the energy conversion model between power equipment,gas equipment and heat source equipment of multi-energy system is constructed.Then,a dynamic price incentive load forecasting method is proposed for multi-energy dynamic price elasticity model.The response degree between users and energy storage is mainly considered under the change of electricity,gas and heat prices.Based on price incentive load forecasting,a source-load-storage peak shaving game equilibrium method is proposed.Using the theory of price game equilibrium,considering the weight relationship between energy supply,users and energy storage,the game model between source-load-storage is established.Based on the source-load-storage game model,the game equilibrium point among energy storage company income,user income and energy supply income is considered,and the source-load-storage benefit balance is analyzed by a balanced game method.Finally,the effectiveness of this method for peak regulation of multi-energy system is verified by experiments.Finally,aiming at the problem of energy supply imbalance caused by different output of energy supply units in multi-energy systems,this paper proposes a peak shaving optimization strategy with price incentive.Considering the coordination characteristics between unit output and load demand of multi-energy system,the multi-energy price incentive model is used to study the bilateral interactive peak shaving cost and multi-energy energy loss characteristics of regional multi-energy system supply and demand,and the bilateral dynamic response model of multi-energy system supply and demand is established.Aiming at the peak shaving cost and energy efficiency of multi-energy system,a regional multi-energy system operation optimization model based on price incentive is established.Finally,the simulation verifies the feasibility of peak shaving optimization strategy.