Multi-objective Coordination Optimization Method Based On Unified Network Flow Of Regional Integrated Energy System

Regional integrated energy system(IES)can realize the complementary advantages between heterogeneous energy sources.It has shown full potential in the face of energy transition,environmental governance and other issues.The theoretical research on IES energy flow optimization is to rationally plan production plans under the premise of satisfying system reliability and safety,in order to pursue maximum social benefits.It is one of the important theoretical foundations of IES engineering practice.There are two main deficiencies in the current optimization method research.First,in the face of the complex coupling mechanism of multi-energy flow and the different temporal and spatial dynamic characteristics of multiple networks,it is difficult to simultaneously consider factors such as accuracy,calculation amount,intuitiveness,and uniformity.It is an intuitive and unified multi-energy flow optimization model.Second,existing algorithms have less consideration from the perspectives of heterogeneous energy coupling,new energy consumption,network dynamic characteristics and comprehensive benefit coordination optimization.They were relatively lack of comprehensive,systematic,multi-energy flow collaborative optimization analysis for IES.This paper establishes a regional electricity-gas-heat IES dynamic multi-period and multi-objective comprehensive dispatch model.It unifies multiple heterogeneous energy sources to the network flow computing platform to develope electricity-gas-heat IES the level of wind power consumption,economic benefits and environment benefits coordination optimization.The main work is as follows:1)Establish a dynamic mathematical model of regional electricity-gas-heat IES that can be used in network flow optimization methods.Focusing on the energy operating characteristics of IES,through comparison and analysis,the steady-state mathematical models that are compatible with the energy flow calculation are selected at the component layer and the network layer respectively.Taking into account the dynamic network characteristics of the gas network and the heating network,the IES dynamic multi-period model is refined on the basis of the steady-state mathematical model.It lays the foundation for the subsequent construction of the unified network flow optimization solution model.2)Propose a network flow optimization model for regional electricity-gas-heat IES dynamic multi-objective multi-period comprehensive dispatch.On the basis of safety,by the linear weighting method to incorporate the IES wind power consumption level,economic benefits and environmental benefits,the IES dynamic multi-period multi-objective comprehensive dispatch model was constructed.From the perspective of dispatch,the focus was on the energy flow and transmission of the system.Through the energy flow to unify the multi-heterogeneous energy to the network flow calculation platform.The energy supply arc used to design the energy components output scheme,the energy transmission arc used to plan feasible flow directions and constraints,and the demand arc used to ensure the supply of load were further constructed.The regional electricity-gas-heat IES dynamic multi-objective multi-period comprehensive dispatch optimization solution was completed.3)The simulation example and result analysis show that the network flow model proposed in this paper has good feasibility and applicability for the electric-gas-heat IES multi-objective multi-period dynamic comprehensive dispatch.The method can achieve a balance of multiple benefits such as minimizing operating costs,maximizing new energy consumption,and minimizing environmental pollution emissions.The method described in the paper uniformly displays the operating characteristics of IES through intuitive and vivid energy flow.Multi-heterogeneous energy sources are unified into the network flow computing platform.This simplifies the IES calculation,especially the non-linear link in the dynamic characteristics,and provides a linearized convergence model that takes into account the amount of calculation and accuracy.Compared with the Newton-Raphson method,the network flow optimization method has no special requirements on the grid structure.Therefore,it is an effective method applicable to both transmission and distribution networks.