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智能电网中基于吉布斯采样的联合用户调度和需求响应控制算法

发表时间:2015-02-28  浏览量:2313  下载量:1019
全部作者: 杨怿,吴远,陈佳超,何艳飞
作者单位: 浙江工业大学信息工程学院
摘 要: 对于电力供电商而言,在给定赤字的条件下,如何调度参与需求响应的用户,同时对调度的用户进行能耗削减,仍是一个开放的问题。为此,研究提出一种针对智能电网的联合用户调度与需求响应控制模型,目标是在满足削减一定电力赤字的条件下,最小化包括用户调度代价和因为削减能耗而产生的用户不满意度在内的系统总代价。针对这一模型,提出一种带有变温过程的吉布斯采样联合用户调度和需求响应控制算法(a joint user-scheduling and demand response control algorithm based on Gibbs sampling, USDRGS),该算法能计算出最佳用户调度的需求响应控制(能耗削减方案)。数值仿真结果表明,该算法可获得与全局搜索算法相近的性能,同时具有较低的复杂度。
关 键 词: 计算机科学技术其他学科;智能电网;需求响应;用户调度;吉布斯采样
Title: A joint user-scheduling and demand response control algorithm based on Gibbs sampling in smart grid
Author: YANG Yi, WU Yuan, CHEN Jiachao, HE Yanfei
Organization: College of Information Engineering, Zhejiang University of Technology
Abstract: Given the certain deficit, how the supplier-side schedule the appropriate set of users to join the demand response while reducing its electricity deficit is still an open question for electric power suppliers. To investigate this question, this paper proposed a joint user-scheduling and demand response optimization model, whose objective was to reduce both the cost of user-scheduling and the consequent disutility due to the users' load-shedding. Specifically, a joint user-scheduling and demand response control algorithm based on Gibbs sampling (USDRGS) with varying temperature process was developed to solve this joint optimization problem. Extensive numerical results showed that the proposed algorithm can reduce the electricity deficit while minimizing both the user-scheduling cost and the load-shedding disutility. Meanwhile, the proposed algorithm can achieve the performance close to that of the global search method, but consume a significantly less computational time.
Key words: other subject of computer science and technology; smart grid; demand response; user-scheduling; Gibbs sampling
发表期数: 2015年2月第4期
引用格式: 杨怿,吴远,陈佳超,等. 智能电网中基于吉布斯采样的联合用户调度和需求响应控制算法[J]. 中国科技论文在线精品论文,2015,8(4):395-406.
 
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