电力市场环境下跨省区交易成本及交易模型分析研究

发布时间：2018-03-07 11:27

本文选题：跨省区电力交易　切入点：成本分析　出处：《华北电力大学(北京)》2017年硕士论文　论文类型：学位论文

【摘要】：我国电力需求与能源资源在地区间分布不均衡的矛盾突出。大容量、远距离的电能输送工程为我国实现更大范围的能源资源优化配置提供了物理支撑,同时也为跨省区的电力交易提供了更广阔的交易平台。本文在立足当下我国电力行业改革之现状,考虑电网企业开展跨省区交易的实际情况,针对由省级电网企业参与的跨省区电力交易,进一步研究跨省、跨区交易相关问题。首先,论文针对参与跨省区交易的省级电网企业,分别从电力交易的成本构成,按照变动成本和固定成本进行细化的成本项的分析和建模,并计及环境成本的影响,建立了跨省区电力交易的综合成本模型。同时,建立了跨省区交易模型,模型以交易的经济效益最大化、最大满足需求等为目标函数,并综合考虑安全、环保等多种约束条件。最后,结合华中和西北区域内的跨省区交易仿真算例,采用粒子群算法求解多目标优化交易模型,验证了模型及其求解方法的可行性和有效性,并对影响跨省区交易结果关键因素进行了定量分析,包括购售电侧的电价、供需水平以及电网传输能力等。
[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.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.61;F406.72

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