2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)最新文献_第9页

DCD: Distributed charging and discharging scheme for EVs in microgrids DCD:微电网电动汽车分布式充放电方案

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2014-11-01 DOI: 10.1109/SmartGridComm.2014.7007730

T. Le, B. Choi, Hao Liang, Hongwei Li, Xuemin Shen

引用次数: 10

Adaptive demand response: Online learning of restless and controlled bandits 自适应需求响应:在线学习躁动与控制的土匪

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2014-11-01 DOI: 10.1109/SmartGridComm.2014.7007738

Qingsi Wang, M. Liu, J. Mathieu

{"title":"Adaptive demand response: Online learning of restless and controlled bandits","authors":"Qingsi Wang, M. Liu, J. Mathieu","doi":"10.1109/SmartGridComm.2014.7007738","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007738","url":null,"abstract":"The capabilities of electric loads participating in load curtailment programs are often unknown until the loads have been told to curtail (i.e., deployed) and observed. In programs in which payments are made each time a load is deployed, we aim to pick the “best” loads to deploy in each time step. Our choice is a tradeoff between exploration and exploitation, i.e., curtailing poorly characterized loads in order to better characterize them in the hope of benefiting in the future versus curtailing well-characterized loads so that we benefit now. We formulate this problem as a multi-armed restless bandit problem with controlled bandits. In contrast to past work that has assumed all load parameters are known allowing the use of optimization approaches, we assume the parameters of the controlled system are unknown and develop an online learning approach. Our problem has two features not commonly addressed in the bandit literature: the arms/processes evolve according to different probabilistic laws depending on the control, and the reward/feedback observed by the decision-maker is the total realized curtailment, not the curtailment of each load. We develop an adaptive demand response learning algorithm and an extended version that works with aggregate feedback, both aimed at approximating the Whittle index policy. We show numerically that the regret of our algorithms with respect to the Whittle index policy is of logarithmic order in time, and significantly outperforms standard learning algorithms like UCB1.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"47 1","pages":"752-757"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74737868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Scheduling data access in Smart Grid networks utilizing context information 利用上下文信息调度智能电网中的数据访问

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2014-11-01 DOI: 10.1109/SmartGridComm.2014.7007663

M. Findrik, Jesper Groenbaek, R. Olsen

引用次数: 7

Queuing analysis for Smart Grid communications in wireless access networks 无线接入网中智能电网通信的排队分析

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2014-11-01 DOI: 10.1109/SmartGridComm.2014.7007675

Obada Al-Khatib, Wibowo Hardjawana, B. Vucetic

{"title":"Queuing analysis for Smart Grid communications in wireless access networks","authors":"Obada Al-Khatib, Wibowo Hardjawana, B. Vucetic","doi":"10.1109/SmartGridComm.2014.7007675","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007675","url":null,"abstract":"The most challenging issue in Smart Grid (SG) communications is the management of a vast amount of SG traffic generated by large number of SG devices in the wireless access network. The wireless access network is leased by the electric utility from a telecommunications operator to connect power substations to numerous number of SG devices, such as phase monitoring units and smart meters. Thus, this access network, referred to as SG access network, carries both Human-to-Human (H2H) communications traffic and SG communications traffic. In this paper, we develop an analytical traffic model for a SG access network carrying H2H and SG traffic based on a priority queuing system. The SG traffic in the SG access network is classified as Fixed-Scheduling (FS) or Event-Driven (ED). The FS traffic is an operational traffic, which occurs on a periodic basis, such as smart meter readings. The ED traffic, which is assumed to have a higher priority, occurs as a response to electricity supply conditions, such as demand response. To date, we have not seen any traffic model for SG access networks, which considers the combination of periodic FS and random ED traffic in addition to H2H traffic. By using the proposed model, we derive expressions for the mean buffer length and mean queuing delay of each traffic. The derived expressions are validated by simulations of a wireless network model using real-world SG traffic profiles from the Ausgrid Smart Grid Smart City project and shown to agree well with the simulations.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"17 1","pages":"374-379"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73649692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A demand response game and its robust price of anarchy 需求响应博弈及其无政府状态的强大代价

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2014-11-01 DOI: 10.1109/SmartGridComm.2014.7007720

Pratyush Chakraborty, P. Khargonekar

{"title":"A demand response game and its robust price of anarchy","authors":"Pratyush Chakraborty, P. Khargonekar","doi":"10.1109/SmartGridComm.2014.7007720","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007720","url":null,"abstract":"Increased variability in power generation due to large scale integration of renewable energy sources such as wind and solar power is a significant technical challenge in power systems operations and control. In addition, there is a compelling value in reducing the peak demand since it occurs only for a small fraction of time, while the power system is designed to reliably satisfy the peak demand. One promising approach to reduce variability of renewable generation and peak demand is to harness the inherent flexibility of electric power loads of consumers. Efficient control techniques are required to manage flexibility in consumer demands. Advancements in sensing, communications and computational technologies infused into the power system resulting in the cyber-physical-social electric grid, are creating opportunities for novel control solutions. In this paper, we first formulate a centralized demand side management approach. Next, we consider a decentralized approach for controlling the loads where the flexible load consumers play a non-cooperative game among each other. We show that Nash equilibria exist for this game. Our main technical result is that the demand response game in decentralized approach has the property of being a valid monotone utility game. This in turn leads to robust lower bounds on the price of anarchy (POA) for our game.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"27 1","pages":"644-649"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75166481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Efficient incentive-driven consumption curtailment mechanisms in Nega-Watt markets Nega-Watt市场中有效的激励驱动的消费削减机制

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2014-11-01 DOI: 10.1109/SmartGridComm.2014.7007735

A. Anastopoulou, I. Koutsopoulos, G. Stamoulis

{"title":"Efficient incentive-driven consumption curtailment mechanisms in Nega-Watt markets","authors":"A. Anastopoulou, I. Koutsopoulos, G. Stamoulis","doi":"10.1109/SmartGridComm.2014.7007735","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007735","url":null,"abstract":"In this paper we model and analyze Nega-Watt markets, in which a utility operator wishes to curtail some amount of demand load during peak hours, in order to save energy generation costs. The problem for the operator is to select the consumers and the portions of demand load to curtail from each consumer. The major novelty in this setup stems from the arising uncertainty due to consumer non-engagement: even if an a priori agreement is reached between the operator and a consumer about the load to curtail, it is entirely up to the consumer to consume the load or not. The second element that makes the problem different from other markets is the incentive design per se. The operator needs to employ a two-branch incentive, that is, provide consumers with a reward if they actually curtail the load and charge them a fine if they do not. We study various instances of operator-consumers interaction such as bilateral negotiation through non-cooperative games and Stackelberg-game-like interactions. Our results reveal interesting insights about the impact of the arising consumer competition and the consumer-operator interaction on the expected benefits for the operator and the consumers.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"7 1","pages":"734-739"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76543907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Optimal energy management for building microgrid with constrained renewable energy utilization 可再生能源利用受限的微电网优化能源管理

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2014-11-01 DOI: 10.1109/SmartGridComm.2014.7007635

H. T. Nguyen, L. Le

引用次数: 13

On the practicality of detecting anomalies with encrypted traffic in AMI 论AMI中加密流量异常检测的实用性

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2014-11-01 DOI: 10.1109/SmartGridComm.2014.7007761

R. Berthier, D. Urbina, A. Cárdenas, Michael Guerrero, U. Herberg, Jorjeta G. Jetcheva, D. Mashima, J. Huh, R. Bobba

引用次数: 16

Architectural design and load flow study of power flow routers 潮流路由器的结构设计与潮流研究

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2014-11-01 DOI: 10.1109/SmartGridComm.2014.7007619

Junhao Lin, V. Li, Ka-Cheong Leung, Albert Y. S. Lam

引用次数: 10

A novel grid load management technique using electric water heaters and Q-learning 一种基于电热水器和q -学习的电网负荷管理新技术

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2014-11-01 DOI: 10.1109/SmartGridComm.2014.7007742

Khalid Al-Jabery, D. Wunsch, Jinjun Xiong, Yiyu Shi

引用次数: 11