Configuration Planning And Coordinated Operation For Integrated Energy Systems Based Objective Reduction And Interactive Optimization And Decision-making

The integrated energy systems(IES)just can achieve the comprehensive utilization of multiple energy sources and improve energy utilization efficiency while building a reliable,economical,environmentally friendly,shared and modern power grid.The diversity of indices such as economy,environmental protection,system safety and stability,and energy supply reliability in the IES puts forward higher requirements for its configuration planning and coordinated operation.Firstly,the planning and operation of the IES involves multiple heterogeneous energy subsystems,and there are various coupling relationships between them,which makes the investment planning and operation mode of the system more complicated.Secondly,the operation modes,the energy types,the equipment types and capacities,and the load-side demand specifications involved in the different levels of IES are different,Therefore,it is necessary to combine the existing application scenarios of different levels of IES to conduct the related research.In terms of this,the commonly used multi-objective optimization models are no longer suitable for the future complex IES configuration planning and coordinated operation research.Therefore,this thesis mainly focuses on the configuration planning and coordinated operation of the IES considering multiple benefits and multiple types of indices,as well as numerous objective reduction method and interactive optimization and decision-making methods suitable for this type of problem.The research mainly includes four aspects:(1)In order to solve the configuration planning and coordinated operation of IES considering multiple benefits and multiple types of indices,this thesis proposes a complete solution framework for many-objective optimization and decision making.A kernel matrix based principal component analysis(KM-PCA)method is proposed to discount redundant objectives while trying to retain the original information,attempting to transform the many-objective optimization problem into multi-objective optimization problem which can be effectively solved by heuristic algorithm.And an interactive optimization and decision-making method based on decision makers' preferences is proposed for the problem that still contains many-objective after the objective reduction.The preference of the decision makers is used to guide the search direction of the mathematical optimization method to provide better solutions.The experimental results of the Deb-Thiele-Laumanns-Zitzler(DTLZ)test functions show that the KM-PCA method can effectively solve the reduction of non-linear many objectives,and the interactive optimization and decision-making method based on decision makers' preferences can obtain a better solution while saving computational costs.(2)In order to solve the optimal configuration problem of the user-side IES oriented to demand response,this thesis establishes an incentive demand response model and a two-stage optimal configuration model of the user-side IES.With the consideration of uncertain renewable energies as well as the capacity and operating constraints of various equipment,the proposed models focus on the impact of load demand response behavior on system configuration.And the economy,environmental protection,system self-balance indices are modeled as objective functions to provide investors with a basis for decision-making.The simulation results show that the demand response behavior of the interruptible power load has a certain effect of cutting peaks and filling valleys on the total load curve,which is beneficial to the economic benefits,environmental benefits and system self-balance of the user-side IES configuration.(3)To solve the expansion planning problem of regional IES with diverse forms of energy use,continuous expansion of energy use areas,growing energy demand,and consideration of energy supply reliability indices.This thesis improves the existing function expressions of three commonly used reliability indices in the form of predictive functions,establishes a multi-stage,multi-load level expansion planning model,and provides an expansion plan that takes into account economy and energy supply reliability for regional IES.The simulation results show that the established expansion planning model can effectively control the reliability indices not to jump into the penalty range of the regulatory agency and improve the comprehensive benefits of the system.(4)To solve the coordinated operation of a large-scale IES including electricity network,gas network and multiple distributed district heating and cooling systems(DHC),a coordinated optimization strategy that considers the multiple benefits of the joint operation of various heterogeneous energy subsystems is proposed in this thesis.This thesis treats the economy,environmental protection,system safety and stability benefit contradictions among different subjects equally,consider the respective constraints of the three sub-systems,and obtain a coordinated operation plan with the best overall benefit and most in line with the preferences of decision makers.The simulation results show that the coordinated optimization strategy can effectively deal with the multiple benefit relationships between different subsystems,and improve the synergy of joint operation among subsystems in a large-scale IES.