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  本文選題：跨省區(qū)電力交易　切入點：成本分析　出處：《華北電力大學(北京)》2017年碩士論文　論文類型：學位論文

【摘要】：我國電力需求與能源資源在地區(qū)間分布不均衡的矛盾突出。大容量、遠距離的電能輸送工程為我國實現(xiàn)更大范圍的能源資源優(yōu)化配置提供了物理支撐,同時也為跨省區(qū)的電力交易提供了更廣闊的交易平臺。本文在立足當下我國電力行業(yè)改革之現(xiàn)狀,考慮電網(wǎng)企業(yè)開展跨省區(qū)交易的實際情況,針對由省級電網(wǎng)企業(yè)參與的跨省區(qū)電力交易,進一步研究跨省、跨區(qū)交易相關(guān)問題。首先,論文針對參與跨省區(qū)交易的省級電網(wǎng)企業(yè),分別從電力交易的成本構(gòu)成,按照變動成本和固定成本進行細化的成本項的分析和建模,并計及環(huán)境成本的影響,建立了跨省區(qū)電力交易的綜合成本模型。同時,建立了跨省區(qū)交易模型,模型以交易的經(jīng)濟效益最大化、最大滿足需求等為目標函數(shù),并綜合考慮安全、環(huán)保等多種約束條件。最后,結(jié)合華中和西北區(qū)域內(nèi)的跨省區(qū)交易仿真算例,采用粒子群算法求解多目標優(yōu)化交易模型,驗證了模型及其求解方法的可行性和有效性,并對影響跨省區(qū)交易結(jié)果關(guān)鍵因素進行了定量分析,包括購售電側(cè)的電價、供需水平以及電網(wǎng)傳輸能力等。
[Abstract]:The contradiction between the unbalanced distribution of power demand and energy resources in China is prominent. The large capacity and long distance power transmission project provides the physical support for the realization of the energy resources optimization in a larger range in our country. At the same time, it also provides a broader trading platform for cross-provincial electric power transactions. This paper is based on the current situation of power industry reform in China, considering the actual situation of power grid enterprises carrying out inter-provincial transactions. In view of the inter-provincial power transaction involving provincial power grid enterprises, the paper further studies the inter-provincial and inter-regional transaction related problems. Firstly, the paper aims at the provincial power grid enterprises involved in inter-provincial trade, respectively, from the cost of electricity transaction. According to the analysis and modeling of the detailed cost terms of variable cost and fixed cost, and considering the influence of environmental cost, the comprehensive cost model of power transaction across provinces and regions is established, and the transprovincial transaction model is established. The model takes the maximization of economic benefit and the maximum satisfaction of demand as the objective function, and considers various constraints such as safety and environmental protection. Finally, combining with the simulation example of transprovincial trade in central China and northwest region, Particle swarm optimization (PSO) algorithm is used to solve the multi-objective optimal transaction model, which verifies the feasibility and validity of the model and its solution method. The key factors affecting the results of cross-provincial trading are analyzed quantitatively, including the electricity price of the purchase and sale side. Supply and demand level and transmission capacity of power grid, etc.
【學位授予單位】：華北電力大學(北京)
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F426.61;F406.72

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