Research On Stochastic Programming For Integrated Energy System Of Large Industrial Users

Energy is the driving force and support for the development of human society,in recent years,renewables are massively connected to the grid and the integrated energy system is developing rapidly,improving energy efficiency and promoting sustainable development have become the development trend of the energy industry.Large industrial users consume a large amount of energy and have complex energy-using characteristics,it is an important demand response resource.It is of great theoretical and practical value to study the uncertain programming problem for integrated energy system of large industrial users.A two-stage stochastic programming model for integrated energy system of large industrial users with uncertain wind power output is proposed in this paper,the model takes the decision of power generation plan,the decision of the contract maximum demand and the purchase and sale strategy of power as two-stage decision-making problems for large industrial users,the optimal energy-using strategy is determined through the overall consideration of the two stages.The proposed optimization model is to minimize the comprehensive cost of the system which includes the expected amount of power charge and basic electricity charge,the investment cost,operation&maintenance cost,and fuel cost of CCHP,and the transfer cost of production tasks.Prevailing constraints include multi-energy coupling balance requirements,power generation equipment technical constraints,load scheduling limits of shifting production tasks and so on.The two-part tariff strategy is formulated while optimizing CCHP capacity allocation in this model.In this paper,the sample average approximation method(SAA)is used to solve the two-stage stochastic programming model for integrated energy system of industrial large users.By using the sample average approximation,the uncertain two-stage stochastic programming problem for integrated energy system of large industrial users can be transformed into a deterministic SAA approximation problem,and then the problem can be iteratively solved by the mixed integer linear programming(MILP)method.In addition,the Monte Carlo delimitation method of SAA algorithm is described in detail,and the flow chart of the improved SAA algorithm is given for the verification of the solutions with the estimation error taking into account.Finally,combined with the example simulation,the feasibility of the proposed programming method and SAA algorithm for integrated energy system of large industrial users is verified.The energy-using policy for the large industrial user is presented,it proves that the expansion of CCHP effectively improves the benefits of large industrial users,the users can adjust the contract maximum demand according to the actual power purchase demand,which is helpful for further reduce of the cost.