需求侧管理对电力节能减排的影响分析与优化模型研究

发布时间：2018-06-17 12:58

本文选题：需求侧管理 + 电力　；参考：《华北电力大学》2015年博士论文

【摘要】：近年来,中国经济发展取得了举世瞩目的成果,在2010年,中国以名义GDP58786亿美元,越过日本,成为世界第二大经济体。但受制于我国产业结构不合理的影响,高速的经济发展带来的确实能源消耗量和污染物排放量的逐年递增,可以说,中国是以资源和环境为代价来换取经济发展。尽管中国资源储备总量要处于世界前列,但人均占有量却远远低于其他各国。故为了降低能源消耗量和污染物排放量,中国推出了节能减排政策,并将其列出可持续发展的重要内容。结合中国当前能源消耗去向可知,电力行业能源消耗量和污染物排放量占总能源消耗量和污染物排放量的比重均要高于50%,故在电力行业开展节能减排政策,对于实现国家整体节能减排有着重要意义。国内外,关于电力行业节能减排已开展了深入的研究,但从电力产业链的角度来看,现有成果更多的集中于发电环节,受制于电力供需时时平衡的特性,在研究电力行业节能减排措施时,有必要讨论用户侧对发电侧节能减排的影响,开展需求侧管理。基于上述背景,本文开展了需求侧管理对电力节能减排的影响分析与优化模型的研究,主要研究内容包括以下几个方面：(1)构建了有序用电对电力节能减排的影响分析模型。以电力供应不足为研究背景,研究了有序用电的节能减排效果。从用电价值、节能减排、信用等级等维度构建了用户有序用电序位评价指标体系和用户有序用电方案的编制方法,并引入综合评价方法对有序用电管理效果进行了综合评价与分析。(2)构建了需求响应对电力节能减排的影响与分析模型。提出了确定性需求响应与随机性需求响应的建模方法,构建了需求响应对节能减排的影响分析模型,和需求响应参与日前调度的机组组合优化模型,通过算例分析讨论了确定性需求响应和随机性需求响应参与系统调度的优化结果。(3)构建了智能用电园区对节能减排的影响分析模型。以智能用电园区为研究对象,介绍了智能用电园区的基本概念、用电特征及园区内分布式能源的供电特征,提出了分布式能源多目标规划与调度优化模型,通过算例分析讨论了分布式能源调度对电力节能减排的影响。(4)构建了电动汽车与风电协同调度对电力节能减排的影响分析模型。引入布朗运动模拟风电出力的不确定性场景并提出了基于向后迭代法的场景削减策略；构建了风电与电动汽车联合调度优化模型及交叉遗传粒子群算法,并通过实例仿真验证了所提模型及算法的有效性和适用性。(5)提出了集中电采暖消纳风电对电力节能减排的影响分析模型。以北京市电采暖为研究对象,结合北京电采暖发展规划,提出了基于面积的采暖热负荷测算模型。然后,为了研究电采暖消纳风电的调度机制,构建了电采暖消纳风电调度优化模型,并对其节能减排效果进行了评价。最后,由于电采暖涉及方众多,本文测算了电采暖消纳风电的价格区间,并讨论了电采暖对风电场、电网公司和供暖企业效益的影响。
[Abstract]:In recent years, China's economic development has made remarkable achievements. In 2010, China has become the second largest economy in the world with its nominal GDP58786 billion dollars over Japan, but it is affected by the irrational industrial structure in China. The real energy consumption and the emission of pollutants from high speed economic development are increasing year by year. China is in exchange for economic development at the cost of resources and environment. Although China's total resource reserve is in the forefront of the world, its per capita share is far lower than that of other countries. In order to reduce energy consumption and pollutant emissions, China has launched a policy of energy conservation and emission reduction, and lists it as an important content of sustainable development. At present, it is known that the energy consumption and pollutant discharge of the power industry are higher than 50% of the total energy consumption and pollutant emission, so it is of great significance to carry out energy saving and emission reduction policy in the power industry. But from the point of view of the electric power industry chain, the existing results are more concentrated in the power generation link and are subject to the characteristic of the balance of the power supply and demand. It is necessary to discuss the effect of the user side on energy saving and emission reduction and the demand side management in the study of the energy saving and emission reduction measures in the power industry. Based on the above background, this paper has carried out the demand. The main research contents of side management on power saving and emission reduction are as follows: (1) the analysis model of the influence of ordered electricity consumption on energy saving and emission reduction is constructed. The effect of energy saving and emission reduction of ordered power consumption is studied with the lack of electricity supply as the research background. The hierarchy and other dimensions are used to construct the user ordered evaluation index system and the programming method of users' ordered electricity use scheme, and the comprehensive evaluation method is introduced to evaluate and analyze the effect of orderly power management. (2) the influence and analysis model of demand response on energy conservation and emission reduction is constructed. The response of deterministic demand and the response of demand response are proposed. The modeling method of stochastic demand response is built, and an analysis model of the impact of demand response on energy conservation and emission reduction is constructed, and the unit combination optimization model of the demand response is involved in the pre day scheduling. The results of the deterministic demand response and stochastic demand response are discussed through an example analysis. (3) an intelligent electric park is constructed. Based on the basic concept of intelligent power park, the basic concept of intelligent power park is introduced, the characteristics of electricity and the power supply characteristics of distributed energy in the park are introduced. The multi-objective planning and scheduling optimization model of distributed energy is proposed, and the energy conservation and emission reduction of distributed energy scheduling is discussed through an example analysis. (4) 4) an analysis model of the influence of electric vehicle and wind power CO scheduling on energy saving and emission reduction is constructed. The uncertainty scene of wind power simulation is simulated by introducing Brown movement and a scenario reduction strategy based on backward iteration is proposed, and a joint scheduling optimization model and a cross genetic particle swarm optimization algorithm are constructed. The validity and applicability of the proposed model and algorithm are verified by example simulation. (5) an analysis model of the influence of centralized electricity heating and extinction wind power on energy saving and emission reduction is put forward. Taking Beijing electric heating as the research object and combining with the development plan of Beijing electric heating, the heating load calculation model based on area is put forward. The optimization model of electric heating and elimination wind power dispatching is constructed and the effect of energy saving and emission reduction is evaluated. Finally, the price range of electric heating is calculated, and the effect of electric heating on wind power, Power Grid Corp and heating enterprises is discussed.
【学位授予单位】：华北电力大学
【学位级别】：博士
【学位授予年份】：2015
【分类号】：F426.61

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