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Analysis On Source-Networkwork-Load Collaborative Optimization Of The Integrated Energy System Based On The Heating Methods Of The Unconcentrated Heating Area

Posted on:2019-09-19Degree:MasterType:Thesis
Country:ChinaCandidate:Q X WangFull Text:PDF
GTID:2382330545985972Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In recent years,in order to make effective use of clean energy and improve the safety of energy supply and sustainable development,the "13th Five-Year Plan" of China's Power Policy has put much emphasis to the synergy and efficient use of diversified energy.Under the impetus of this development trend,comprehensive energy systems which are established with full consideration of the energy characteristics and their cooperative supply strategy,And the optimization of integrated energy systems has also become a hot spot for the reshearchers.For some objective conditions such as Southern China where central heating is not implemented,the uncertainty of meteorological conditions leads to the higher complexity of the user behavior on the load side.Therefore,this paper studies the process of heating in integrated energy systems and its optimization methods,specifically focus on the user behaviors of the load side.This paper also fully analyzes the interactions between the three sides:the source side,the load side and the networkworkwork side,towards with this paper proposes the energy-based networkworkwork theory.First,the characteristics of the three sides of the source and load of the integrated energy system are analyzed.For the load side,in order to comprehensively consider the interaction between the three sides of the source networkworkwork load,the utility theory in on-the-spot economics is used to analyze the user behavior of the load side and the proportion of users selecting different heating methods.And then,the integrated energy system load is established;for the networkworkwork side,through the mathematical reasoning of precision,the common characteristics of different kinds of energy in the networkworkwork propagationis are seek,and finally the energy networkworkwork theory is used to realize the normalized analysis of different kinds of energy transmission;for the source side,in order to analysis the source side economic model and embody the optimization effect of multi-energy complementary supply on the stability of the source at the same time,the optimization effect is transformed into a negative cost economic index,and it is superimposed on the cost model.Then,in order to realize the overall research running through the whole system operation stage,the whole life cycle theory in system engineering is added to analyze the economical modeling of the source and the load.In the comprehensive optimization analysis,this paper proposes the average cost per household of winter heating for the charge end and the low-efficiency operating degree of the source end,and uses the adaptive weight coefficient method and the self-adaptive penalty function method to realize the comprehensive consideration of the load side.Finally,the method proposed in this paper is actually applied practical examples in reference to practical examples of cogeneration systems and thermal and electrical integrated energy systems.The results obtained shows that when other conditions are certain,the relative energy of the integrated electrical energy system can effectively reduce the inefficient operation of the source networkworkwork and increase the unit energy yield of the source-side power plant while ensuring that the cost of the consumption on the side of the vessel not increasing substantially.This not only proves the multi-energy capability of the thermoelectric integrated energy system relative to the cogeneration system.The superiority of the collaboration also validates the effectiveness and feasibility of the optimization method.
Keywords/Search Tags:Integrated energy system, Source-Networkwork-Load coordination Optimization, User behavior analysis, Life cycle theory, Energy networkworkwork theory
PDF Full Text Request
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