Research On Optimization Of Regional Integrated Electric-heat System Considering The Meteorological Parameters

The integrated electric-heat system(IEHS)is currently the most prevalent realization form of a multi-energy system in China,however,the existing research for realizing the source-network-load correlation mechanism is not consummate.Based on the reality that meteorological parameters are deeply coupled with the source,network,and load side of IEHS,this thesis discusses the approach to realize the source-network-load interaction of regional IEHS considering the meteorological parameters and devises a set of day-ahead scheduling decision-making methods considering the meteorological parameters for the regional IEHS.The specific work is as follows:(1)A source-network-load modeling method considering the meteorological parameters for regional IEHS is proposed.Specifically,a transformation relationship model between wind speed/solar radiation and wind power/photovoltaic unit generation output is given on the regional IEHS’s energy side;on the regional IEHS’s network side,the influence of different meteorological parameters on the transmission capacity of overhead lines is compared,and a dynamic modeling method for the transmission capacity of the overhead lines considering the wind speed was proposed;on the load side of regional IEHS,a computing-friendly heat load model which considers all the meteorological parameters is proposed.The case studies based on the proposed model verifies the necessity of considering meteorological parameters in the IEHS model and provides a modeling foundation for realizing the meteorological-parameter-driven optimization for regional IEHS.(2)A set of meteorological-parameter-driven day-ahead dispatching methods for regional IEHS is proposed.The model follows the centralized combined heat and power system commonly used in northern China in winter,in which the generation output of renewable energy unit,the transmission capacity of overhead transmission lines,and heat load model is generated jointly by the day-ahead forecast data of meteorological parameters,thence realizing the source-network-load interaction of regional IEHS.The results of case studies verify the superiority of the proposed model compared with the existing regional IEHS model in view of renewable energy consumption rate and end users’comfort level.(3)A set of meteorological-parameter-driven robust day-ahead scheduling methods for regional IEHS is proposed.Compared with the direct application of the traditional robust scheduling method in regional IEHS,two improvements are made in our work:(1)a meteorological-parameter-driven modeling method for the uncertainty set of regional IEHS’s source,network,and load side is proposed to reduce the required binary variables;(2)the uncertainty sets’ boundaries are set as decision variables which combined with the operation risk quantitatively to promote the robustness and feasibility of the model.The case studies present the significant advantages of the proposed model compared with the existing models in terms of risk suppression and model feasibility.In short,this thesis provides an innovative solution to realize the joint optimization for IEHS’s source-network-load side.The proposed meteorological-parameter-driven modeling method and day-ahead scheduling strategy for regional IEHS could provide theoretical guidance in view of the improvement of the operational economy and risk resistance capacity towards the uncertainties.