Optimal Planning Of Integrated Electricity And Natural Gas System

With the shortage of fossil energy and the increasing environmental pollution problems,the development of integrated electricity and natural gas(IENG)system has aroused widespread concern in all countries in the world.The integrated electricity and natural gas system combines IENG system.It connects two independent systems through coupling elements and performs unified planning and scheduling.With the complementarity of electricity and natural gas,it can not only optimize energy use efficiency substantially,but also improve the stability of the system.The integrated electricity and natural gas system has broad development prospects.This paper studies the optimal configuration of the IENG system.The main research contents of this paper are as follows:1)Based on the operation of the IENG system,the mathematical models of the grid side,the gas grid side and the coupling elements are established.For the uncertainty of wind turbine and photovoltaic output and the uncertainty of load fluctuation,this paper proposes a robust optimization model and uses Column and Constraints Generation(C&CG)algorithm to solve.It transforms the difficult "max-min" problem into the easy-to-solve "max" problem,and obtains the maximum benefit of the system operation in the worst scenario.Finally,this chapter analyzes the operating characteristics of electricity and natural gas systems and the interaction between the two systems through examples,and verifies the effectiveness of robust optimization in dealing with uncertain problems.2)According to the characteristics of the IENG system,this chapter establishes the optimal configuration model with the minimum system planning cost and operating cost as the objective function firstly.Secondly,considering the uncertainties of renewable energy and load,a two-layer robust optimization model is used to model the optimal configuration problem.Among them,the upper layer problem is the configuration problem,and the lower layer problem is the operation problem.Finally,the simulation results of the example verify the effectiveness of the two-layer robust optimization for solving the configuration problem,and discuss the uncertainty and the influence of the power-to-gas technology on the configuration results.3)In this chapter,the ice storage air conditioning load and the electric vehicle model are added to the IENG system for considering the optimization configuration of the IENG system more comprehensively.Secondly,a multi-objective optimal configuration model considering demand-side response is proposed in order to balance environmental and economic benefits.The method is to blur the objective function and use the principle of maximum satisfaction to transform the multi-objective optimization configuration problem into a single-objective optimization configuration problem.Finally,an example is used to analyze the impact of demand-side response on the operation and configuration results,and verify the effectiveness of the IENG system multi-objective optimization configuration model.