需求侧管理实施评价机制的研究

发布时间：2018-06-16 03:17

本文选题：需求侧管理 + 评价指标体系　；参考：《吉林大学》2017年硕士论文

【摘要】：电力需求侧管理(Demand Side Management,DSM)是一种先进的优化电力系统运行和提高电力资源利用效率的管理方法。在不考虑资金时间价值的条件下,综合考虑发电厂、电网公司、电力用户、社会各方的利益,建立了DSM评价指标体系和成本效益分析模型,对DSM的实施效果进行评估。研究表明,基于发电侧提取资金和系统效益收费建立的DSM评价机制有利于DSM在我国电力行业的推广,节电潜力巨大。研究表明,基于发电侧提取资金和系统效益收费建立的DSM评价机制有利于DSM在我国电力行业的推广,节电潜力巨大。DSM通过引导社会有序节约用电,从而有助于电力企业提高其设备的使用效率,维持了用电秩序,减少了二氧化碳等污染物的排放,有利于保护环境,促进资源节约型和环境友好型社会的建立。实施电力需求侧管理主要有经济、技术、行政手段等措施,推动发电厂、电网企业、用户、社会等相关利益方主动适应需求侧管理。建立完善的评价体系并明确DSM评价指标是实施电力需求侧评价机制必备的前提和基础,主要有层次分析法,通过模糊层次分析法,分层确定每一层的相对重要权重,最终得到方案层的相对重要权重,以此来对电力需求侧管理实施进行一个评价。通过实际案例的分析,可以发现对于不同的大用户,根据大用户本身的实际情况,对其进行相应的打分,并且通过计算将会获得其相应的指标权重,可以得到电力需求侧管理实施的指标评价。对于公共服务性质的大用户而言,例如地铁,高铁,航空等国有企业,它们资金既有国家相关的补贴,也有自身运营的盈利,所以这一类大用户而言,某种程度上,参与DSM的积极性应该高于一般盈利性大用户,而对于一般主要以盈利性质的大用户来看,大用户考虑参加DSM的最终期望都是以受益为主要目的的。本文从我国需求侧管理的现状出发,结合国内外研究的相关理论,首次引入了模糊层次分析法,对指标层进行评价分析。我国在实施DSM的方面,下一步还需要建立DSM的长效管理机制,建立更加完善各项项目评价方法和体系。
[Abstract]:Demand side Management (DSM) is an advanced management method to optimize power system operation and improve power resource utilization efficiency. Under the condition of not considering the time value of capital, considering the interests of power plant, power grid company, electric power user and society, a DSM evaluation index system and cost-benefit analysis model are established to evaluate the effect of DSM implementation. The research shows that the DSM evaluation mechanism based on the generation side extraction funds and system benefit charges is beneficial to the promotion of DSM in China's power industry and has great power saving potential. The research shows that the DSM evaluation mechanism based on generating side extraction funds and system benefit charges is beneficial to the promotion of DSM in China's electric power industry, and the power saving potential is huge. DSM can save electricity by guiding the society to save electricity in an orderly manner. Therefore, it is helpful for electric power enterprises to improve the efficiency of their equipment, maintain the order of electricity consumption, reduce the emission of carbon dioxide and other pollutants, help to protect the environment, and promote the establishment of a resource-saving and environment-friendly society. The implementation of DSM includes economic, technical and administrative measures to promote the power plants, power grid enterprises, users, society and other relevant stakeholders to adapt to DSM. Establishing a perfect evaluation system and defining the DSM evaluation index are the prerequisite and foundation of implementing the DSM evaluation mechanism. There are mainly AHP, through the fuzzy AHP, the relative important weight of each layer is determined in different layers. Finally, the relative important weight of the scheme layer is obtained to evaluate the implementation of DSM. Through the analysis of actual cases, it can be found that for different large users, according to the actual situation of the large users, they will be scored accordingly, and their corresponding index weights will be obtained by calculation. The index evaluation of DSM implementation can be obtained. For the large users of public services, such as the subway, high-speed rail, aviation and other state-owned enterprises, their funds are not only state-related subsidies, but also their own operating profits, so this kind of large users, to some extent, The enthusiasm of participating in DSM should be higher than that of the general profit-making large users, and for the large users who are mainly profit-making, the ultimate expectation of large users considering participating in DSM is mainly to benefit. Based on the present situation of demand-side management in China and the related theories at home and abroad, the fuzzy analytic hierarchy process (FAHP) is introduced for the first time to evaluate and analyze the index layer. In the aspect of implementing DSM in our country, the next step is to establish the long-term management mechanism of DSM, and to set up more perfect evaluation methods and systems of various projects.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.61

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