居民电价方案优化决策体系研究

发布时间：2018-04-13 06:22

本文选题：居民电价方案 + 优化决策体系　；参考：《南京师范大学》2016年硕士论文

【摘要】：高级量测体系作为智能电网关键技术,是当前研究热点之一。现有研究大多集中在智能电表和通信技术方面,鲜有涉及电价方案的优化决策问题,而合理的居民电价方案是保证高级量测体系行之有效的根本前提。本学位论文重点开展以高级量测体系为技术支撑,由电价方案评价,居民侧用电指导和电价方案修正等几部分构成的居民电价方案优化决策体系的研究,主要内容如下：1.建立了一种居民电价方案优化决策体系。依托高级量测体系主站系统,建立决策前电价方案评价功能,依据评价结果选出最优电价方案,为居民用电提供价格信号；依托高级量测体系的家庭网络,提出了一种家庭智能用电系统的功能设计方案,以指导用户依据电价方案合理用电。其中,高级量测体系的主站用于采集用户用电数据对电价方案进行修正。2.应用线性支出原理等经济学理论,量化计算居民电价方案的指标。基于模糊层次分析法的电价方案评价指标体系是居民电价方案优化决策体系的关键技术,利用模糊隶属度函数,将指标分值统一到60到100之间,进一步地利用层次分析法计算指标权重,得到综合评价值,并依据各方案的综合评价值选择最优电价方案。3.以家庭智能用电系统物理构架和功能设计为基础,提出了一种家庭用电设备智能控制算法。家庭智能用电策略是居民电价方案决策体系在居民侧的应用,指导用户根据电价方案合理用电。结合电价方案和用户的个性化设置,以用电设备的启停时间为控制量,以综合考虑电费支出和舒适度的目标函数最小为目标,建立家庭智能用电策略。仿真算例验证该算法在保证舒适度的情况下有效节约用电。
[Abstract]:As the key technology of smart grid, advanced measurement system is one of the research hotspots.Most of the existing research focuses on intelligent meter and communication technology, few of which involve the optimal decision of electricity pricing scheme, and reasonable residential electricity pricing scheme is the fundamental prerequisite to ensure the effectiveness of the advanced measurement system.This dissertation focuses on the research on the optimization decision-making system of the residential electricity price scheme, which is supported by the advanced measurement system and is composed of several parts, such as the evaluation of the electricity price scheme, the guidance of the residential side electricity consumption and the revision of the electricity price scheme. The main contents are as follows: 1.An optimal decision system for residential electricity price scheme is established.Based on the master station system of advanced measurement system, the evaluation function of electricity price scheme before decision is established, and the optimal electricity price scheme is selected according to the evaluation results, which provides price signals for residents, and relies on the home network of advanced measurement system.This paper presents a functional design scheme of home intelligent power consumption system to guide users to use electricity reasonably according to electricity price scheme.Among them, the main station of the advanced measurement system is used to collect the user power data to modify the electricity price scheme. 2. 2.Based on the economic theory such as linear expenditure principle, the index of electricity price scheme of residents is calculated quantitatively.The evaluation index system of electricity price scheme based on fuzzy analytic hierarchy process is the key technology in the decision-making system of electricity price scheme optimization. By using fuzzy membership function, the index score is unified between 60 and 100.Further, the index weight is calculated by AHP, and the comprehensive evaluation value is obtained, and the optimal electricity price scheme is selected according to the comprehensive evaluation value of each scheme.Based on the physical framework and functional design of the home intelligent power system, an intelligent control algorithm for the household electrical equipment is proposed.Household intelligent power consumption strategy is the application of household electricity price scheme decision system on the resident side, and instructs the user to use electricity reasonably according to the electricity price scheme.Based on the scheme of electricity price and the individualized setting of the user, taking the starting and stopping time of the electric equipment as the control quantity and the objective function minimization of the comprehensive consideration of the cost of electricity and the comfort degree, the intelligent household power consumption strategy is established.A simulation example shows that the algorithm can save electricity effectively under the condition of ensuring comfort.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F426.61;TM76

【相似文献】