【作者】 宋艺航；

【导师】 谭忠富；

【作者基本信息】 华北电力大学 ， 技术经济及管理， 2014， 博士

【摘要】 中国电力资源与负荷分布呈逆向分布,电力资源主要分布在西部、北部地区,而负荷则主要分布在东部地区,由此造成中国电力工业供电成本高昂,风电消纳困难,输电损耗严重,电力投资臃肿等窘况。对社会而言,造成一系列负外部性效应,其提高了社会用电成本,降低了能源利用效率,也加剧了大气污染程度。如何协调电力资源与负荷分布,实现电力资源的跨区域优化配置已经成为制约电力工业低碳化、可持续发展的关键问题。传统模式下电力资源的跨区域配置主要依赖一次能源运输的模式实现,远距离输电技术的发展在一定程度上缓解了传统能源运输通道的压力,丰富了电力资源跨区配置的形式。中国正致力建设跨区域输电通道,强化区域间电网架构,通过区域间的发电置换优化清洁能源的利用水平,缓解受端区域发电排污压力。在此背景下,围绕中国电力资源跨区域优化配置展开研究,重点研究了电力资源与负荷分布的协调状况,区域间电力资源配置要素的因果传递关系,区域间电源与电网协调规划,大规模风电跨区域消纳以及跨区域配置下发电企业利益分配、交易谈判等问题。电力资源与负荷分布协调的程度决定了电力资源跨区域配置的难度与深度。围绕中国电力负荷与煤炭、水能、风能三类能源的分布进行分析,借助基尼系数对负荷与能源分布的协调程度进行测算。分析结果表明煤炭、水能、风能的分布与负荷的协调程度都比较低,但水电与风电开发的倾向性在一定程度上缓解了一次能源与负荷分布的不协调。电力资源跨区域配置受到输电线路容量、输电价格、风电消纳水平等客观因素的制约,这些因素影响了能源产业链实物量与价值量的传递与反馈,有鉴于此,构建了区域间电力资源供需的系统动力学模型。通过因果关系图与流积图描绘系统中各变量之间因果传递关系,借助Vensim软件对区域间电力资源供需关系与价格的变化趋势进行仿真模拟,并以煤炭供应、经济增长率、风电利用小时以及输电容量等因素为敏感因子对电力资源的跨区域配置状况进行敏感性分析。电力资源跨区域配置受区域间电力规划的限制,反之,电力规划也在一定程度上左右了电力规划的走势。以规划年内发电综合成本最小为目标,考虑了电力平衡、发电备用、建设成本的约束条件,构建了多类型发电机组与跨区域输电网协调发展的优化模型,通过优化协调了电源与电网的建设容量与建设时点,既保证区域间电力资源配置的发展进程,提高能源综合利用效率,同时避免了因发电与电网建设不协调而导致投资的浪费。区域间输电通道的建设扩大了风电的消纳空间,在一定程度上降低了弃风水平。中短期而言,风电可与火电打捆通过输电专线输送至受端区域；以机组组合模型为基础,考虑风电调峰、输电功率波动等约束构建了风火联合外送的调度模型,对参与电力外送的风电与火电进行实时输出功率的协调优化。中长期而言,风电的消纳可以借鉴电力库模式；配合需求侧负荷对电价的响应机制以及储能系统对风电反负荷特性的调节能力,通过改变负荷与出力的时间分布以扩大风电的消纳水平。电力资源跨区域配置将影响电力市场参与者的市场份额,因此,理顺各市场参与者的利益关系是推进电力资源跨区域配置的基础。关于风电与火电联合外送中双方利润分配的问题,以双方对联盟效益的贡献度为依据,借助Shapley值法与核心法对双方进行利益分配,并以区域碳交易价差以及输电波动约束作为敏感因子,研究其对利益分配份额的影响。关于区域间火电机组发电权交易谈判的问题,基于Zeuthen决策以及贝叶斯学习提出一个双方逐步估算对方底价,逐步收敛双方报价差的谈判模型,尽可能使双方效用达到最大化。更多还原

【Abstract】 The distribution of power resources and power load in China are reverse. Power resources are mainly distributed in the west and north regions, while the power load are mainly in east China. The resulting predicament causes a high cost of China’s power generation industry, difficulties in wind power accommodation, a high transmission losses and the inflexibility of power investment. This resource structure has a negative effect on the whole society, the power cost increased, the energy efficiency reduced and the air pollution has aggravated. In order to optimize the allocation of inter-regional power resources, how to coordinate the distribution of power resources and power load has become the key issue of achieving a low-carbon and sustainable development of China’s power industry.In the traditional model, the inter-regional allocation of power resources mostly relies on the transportation of primary energy. The development of long distance power transmission has relived the pressure on traditional energy transportation mode to some extent. China is devoting to the construction of inter-regional transmission channel and strengthens the inter-regional grid architecture, to improve clean energy utilization by optimizing inter-regional generation replacement and alleviate the pressure on power generation pollution. Under such background, based on the optimal allocation of inter-regional power resources in China, this dissertation focuses on the coordination between power resources and power load distribution, the causality in essential factors of inter-regional power resources allocation, the coordination between inter-regional power generation and power grid, and the inter-regional accommodation of large-scale wind power, the profit distribution and trade negotiation between power generation enterprises in the inter-regional allocation mode.The coordination degree for the distribution of power resources and power load determines the difficulty and depth of inter-regional allocation of power. This dissertation analyzes the distribution between power load and coal, hydro power, wind power, calculating the coordination degree of power load and energy distribution by Gini coefficient. The result indicates that the coordination degree between these energies (coal, hydro power and wind power) distribution and power load are relatively low. However, the exploitation of hydro power and wind power alleviated the incongruity between primary energy and power load distribution.Inter-regional allocation of power resources is constrained by objective factors like transmission capability, transmission price, and wind power accommodation level, etc. This constraint affects the transmission and feedback of physical quantity and value quantity in energy industry chain. Accordingly, this dissertation establishes a system dynamics model of inter-regional power supply and power demand. Describing the transitive relation between each factor through causal loop and flow-stock diagram, and simulate the variation trend of the relation between inter-regional power supply-demand and price by Vensim. With coal supply, economic growth rate, utilization hours of wind power, and transmission capacity as sensitivity factors, a sensitive analysis of inter-regional power allocation is performed.The allocation of inter-regional power resources is limited by the power planning; conversely, it also affects the trends of power planning to a certain extent. With the goal of minimizing the power generation cost in the planning year, considering power balance, backup power, generation reserve and construction cost as constraints, this dissertation establishes an optimization model for coordinating development between multi-type generators and inter-regional power transmission network. By optimizing the coordination in the construction capacity and construction timing of power generation and power grid, the development of inter-regional allocation of power resource is guaranteed, the energy utilization efficient increased, while avoiding the wasteful investment resulting from the discordance of power generation and power grid construction.The construction of inter-regional transmission channel expands the capacity of wind power accommodation and reduces wind power curtailment to a certain context. For short and medium term, wind power can be delivered to the consumer by banding together with thermal power through transmission line. Based on unit commitment (UC) model, considering wind power peak regulation and the fluctuation of transmission power as constraints, a dispatching model of power delivering, which combines wind power with thermal power is built. This model can optimize the coordination of a real-time output power from combined power delivering. For the medium to long term, the accommodation of wind power can learn from power pool mode. Cooperate with the mechanism of customer load demand respond to the electricity price and the adjustment of wind power’s anti load characteristic in energy storage system, the accommodation of wind power can be expanded by changing the time distribution of the load and the output.The inter-regional allocation of power resources will affect the share distribution of the electricity market participants, therefore, rationalize the interests of all market participants is the basis of promoting inter-regional allocation of power resources. The profit-sharing in combined electricity delivering mode:wind power band with thermal power, can be distributed based on the contribution to the whole union benefits with Shapley-value and core method. Researching on the effect of profit-sharing in combined electricity delivering mode by setting inter-regional carbon trading spread and transmission fluctuation constraint as sensitivity factors. Issues on the negotiation of generation rights trade in inter-regional thermal power unit, this dissertation proposes a negotiation model based on Zeuthen strategy and Bayesian learning. In this model, both parties gradually estimate the base price of the opponent to reduce the price difference, in order to maximize the utility of both parties.更多还原