Research On Economic Operation Of Integrated Energy Systems Considering Load Scheduling Elasticity

It is an effective way to improve the energy utilization efficiency of various energy systems that the energy conversion between energy systems such as electric and natural gas and the utilization of energy step by step.The integrated energy system has been attached great importance in recent years because of its advantages of environmental protection and high efficiency.The energy structure and device coupling relationship in the integrated energy system are complex,which increases the difficulty of system operation and scheduling.How to realize the economic optimal operation of each unit in the system is a major optimization objective of the integrated energy system scheduling.Considering the operating characteristics of loads is an effective way to improve the economic benefit of integrated energy system.Therefore,this paper mainly studies the construction and solution of the optimization model for the integrated energy system considering the scheduling elasticity of electric and thermal loads.The main research contents of this paper are as follows:1)The framework of an integrated energy system and the complexity of the energy transmission are considered,and the mathematical power models of each equipment unit in the integrated energy system are described.The equipment unit includes photovoltaic power generation units,gas turbine units,heat recovery steam generator units,gas boiler units,electric energy storage units,and thermal energy storage units.The above equipment unit models are the important part of the optimization model construction of integrated energy systems.2)The construction methods of different metamodel and their main characteristics are described respectively.The solving performance of each metamodel algorithm is compared and analyzed.Aiming at the problems of the computational complexity and the low efficiency of the existing global optimization algorithms,the construction methods and characteristics of Latin hypercube sampling method,polynomial response surface metamodel,and the space exploration and region elimination algorithm are analyzed.Based on this,a global optimization algorithm based on a polynomial response surface metamodel is proposed in this paper,which is used to solve the optimal output of each unit and the minimum operation cost of the integrated energy system.In addition,the global convergence of the proposed algorithm is proved in detail by using Markov chain,and the solution performance of the second-order polynomial response surface metamodel is further verified by simulation examples.3)The scheduling elasticity of various types of loads is analyzed in detail,and the scheduling elasticity models of electric and thermal loads are established on the basis of considering the compensation mechanism.To minimize the operation cost,an optimization model for an integrated energy system considering the scheduling elasticity of electric and thermal loads is proposed.To solve the proposed model,the feasibility of the proposed global optimization algorithm based on a polynomial response surface metamodel to the optimization model of the integrated energy system considering the scheduling elasticity of electric and thermal loads is studied.Finally,the effectiveness of the proposed model is verified by the simulation example.Combined with the performance indicators,the simulation results of the proposed algorithm,the genetic algorithm,and the kriging algorithm are compared and analyzed,and the effectiveness of the algorithm proposed in this paper is further proved.