2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)最新文献_第8页

Energy Flexibility for Systems with large Thermal Masses with Applications to Shopping Centers 大热质量系统的能量灵活性及其在购物中心的应用

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587444

J. Petersen, J. Bendtsen, Pierre J. C. Vogler-Finck, J. Stoustrup

{"title":"Energy Flexibility for Systems with large Thermal Masses with Applications to Shopping Centers","authors":"J. Petersen, J. Bendtsen, Pierre J. C. Vogler-Finck, J. Stoustrup","doi":"10.1109/SmartGridComm.2018.8587444","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587444","url":null,"abstract":"In this paper we propose a scheme for managing energy flexibility in buildings with significant thermal masses and centralized climate control, such as commercial buildings, which can be used to provide ancillary services to the local electrical system (demand response). The scheme relies on being able to manipulate the forward flow temperature in the climate control system along with heating/cooling of zones of the building, and thereby controlling the electrical power consumption of the system. A Model Predictive Control law is formulated to provide pre-storage of thermal energy in the manipulated zones without violating comfort requirements. The scheme is illustrated on a case study of a Danish shopping center, from which actual heating/cooling data have been collected for identification of thermal dynamics. The Coefficient of Performance of the system’s chiller is assumed to have a known dependence on flow and temperature, which is exploited to relate electrical power consumption to forward flow temperature. Simulation studies indicate potentials for significant power curtailment, in the order of 100 kW for one hour for the shopping center as a whole.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115030215","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: 2

Clustering-based negotiation profiles definition for local energy transactions 本地能源事务的基于集群的协商概要定义

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587572

Angelo Pinto, T. Pinto, Isabel Praça, Z. Vale, P. Faria

{"title":"Clustering-based negotiation profiles definition for local energy transactions","authors":"Angelo Pinto, T. Pinto, Isabel Praça, Z. Vale, P. Faria","doi":"10.1109/SmartGridComm.2018.8587572","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587572","url":null,"abstract":"Electricity markets are complex and dynamic environments, mostly due to the large scale integration of renewable energy sources in the system. Negotiation in these markets is a significant challenge, especially when considering negotiations at the local level (e.g., between buildings and distributed energy resources). It is essential for a negotiator to be able to identify the negotiation profile of the players with whom he is negotiating. If a negotiator knows these profiles, it is possible to adapt the negotiation strategy and get better results in a negotiation. In order to identify and define such negotiation profiles, a clustering process is proposed in this paper. The clustering process is performed using the kml-k-means algorithm, in which several negotiation approaches are evaluated in order to identify and define players’ negotiation profiles. A case study is presented, using as input data, information from proposals made during a set of negotiations. Results show that the proposed approach is able to identify players’ negotiation profiles used in bilateral negotiations in electricity markets.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122692342","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: 1

Battery Scheduling in a Residential Multi-Carrier Energy System Using Reinforcement Learning 基于强化学习的住宅多载波能源系统电池调度

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587412

Brida V. Mbuwir, M. Kaffash, Geert Deconinck

{"title":"Battery Scheduling in a Residential Multi-Carrier Energy System Using Reinforcement Learning","authors":"Brida V. Mbuwir, M. Kaffash, Geert Deconinck","doi":"10.1109/SmartGridComm.2018.8587412","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587412","url":null,"abstract":"Motivated by the recent developments in machine learning and artificial intelligence, this work contributes to the application of reinforcement learning in Multi-Carrier Energy Systems (MCESs) to provide flexibility at the residential level. The work addresses the problem of providing flexibility through the operation of a storage device, and flexibility of supply by considering several infrastructures to meet the residential thermal and electrical demand in a MCES with a photovoltaic (PV) installation. The problem of providing flexibility using a battery is formulated as a sequential decision making problem under uncertainty where, at every time step, the uncertainty is due to the lack of knowledge about future electricity demand and weather dependent PV production. This paper proposes to address this problem using fitted Q-iteration, a batch Reinforcement Learning (RL) algorithm. The proposed method is tested using data from a typical Belgian residential household. Simulation results show that, an optimal interaction of the different energy carriers in the system can be obtained using RL and without providing a detailed model of the MCES.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128511785","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: 20

Correlation-based Detection of PMU Time Synchronization Attacks 基于相关性的PMU时间同步攻击检测

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587436

Ezzeldin Shereen, G. Dán

引用次数: 3

Low Complexity Closed-Loop Energy Manager for a Grid-Tied PV System with Battery 带电池并网光伏系统低复杂度闭环能量管理器

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587425

D. Licea, M. Ghogho

引用次数: 0

Detection of False Data Injection Attacks in Smart Grids Based on Forecasts 基于预测的智能电网虚假数据注入攻击检测

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587473

M. Kallitsis, Shrijita Bhattacharya, G. Michailidis

{"title":"Detection of False Data Injection Attacks in Smart Grids Based on Forecasts","authors":"M. Kallitsis, Shrijita Bhattacharya, G. Michailidis","doi":"10.1109/SmartGridComm.2018.8587473","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587473","url":null,"abstract":"The bi-directional communication capabilities that emerged into the smart power grid play a critical role in the grid’s secure, reliable and efficient operation. Nevertheless, the data communication functionalities introduced to Advanced Metering Infrastructure (AMI) nodes end the grid’s isolation, and expose the network into an array of cyber-security threats that jeopardize the grid’s stability and availability. For instance, malware amenable to inject false data into the AMI can compromise the grid’s state estimation process and lead to catastrophic power outages. In this paper, we explore several statistical spatio-temporal models for efficient diagnosis of false data injection attacks in smart grids. The proposed methods leverage the data co-linearities that naturally arise in the AMI measurements of the electric network to provide forecasts for the network’s AMI observations, aiming to quickly detect the presence of “bad data”. We evaluate the proposed approaches with data tampered with stealth attacks compiled via three different attack strategies. Further, we juxtapose them against two other forecasting-aided detection methods appearing in the literature, and discuss the trade-offs of all techniques when employed on real-world power grid data, obtained from a large university campus.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132562136","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: 6

Automating Smart Grid Solution Architecture Design 自动化智能电网解决方案架构设计

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587457

M. Masi, Tanja Pavleska, Helder Aranha

引用次数: 4

An Autonomous Demand Response Algorithm based on Online Convex Optimization 基于在线凸优化的自主需求响应算法

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587535

S. Bahrami, Y. Chen, V. Wong

{"title":"An Autonomous Demand Response Algorithm based on Online Convex Optimization","authors":"S. Bahrami, Y. Chen, V. Wong","doi":"10.1109/SmartGridComm.2018.8587535","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587535","url":null,"abstract":"A price-based demand response program is a viable solution for distribution network operators (DNOs) to motivate electricity consumers toward scheduling their load demand during off-peak periods. This paper addresses the problem of load scheduling in a demand response program, while accounting for load demand uncertainty and the distribution network operational constraints. The centralized load control is a non convex optimization problem due to the ac power flow equations. We use convex relaxation techniques to transform the problem into a semidefinite program (SDP), which is solved using online convex optimization techniques to address the load demand uncertainty. To tackle the issue of computational complexity, we use proximal Jacobian alternating direction method of multipliers (PJ-ADMM) to decompose the centralized problem into the customers' load scheduling subproblems. The decentralized algorithm is executed by each customer to schedule its load demand in real-time. Via simulations on the IEEE 37-bus test feeder, we show that the proposed algorithm enables customers to approximate the optimal load profile in the benchmark scenario without load uncertainty, and the approximation is tight. Furthermore, we show a negligible gap of 2.3% between the customers' cost with the proposed algorithm and the cost in the benchmark scenario.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131329396","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: 8

Assessment of Distributed Generation Units Remuneration Using Different Clustering Methods for Aggregation 基于不同聚类方法的分布式发电机组报酬评估

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587438

C. Silva, P. Faria, Z. Vale

引用次数: 9

Impact of Malicious SCADA Commands on Power Grids’ Dynamic Responses 恶意SCADA命令对电网动态响应的影响

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587462

Hui Lin, Z. Kalbarczyk, R. Iyer

{"title":"Impact of Malicious SCADA Commands on Power Grids’ Dynamic Responses","authors":"Hui Lin, Z. Kalbarczyk, R. Iyer","doi":"10.1109/SmartGridComm.2018.8587462","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587462","url":null,"abstract":"Control-related attacks can use malicious commands crafted in legitimate formats to initiate perturbations to power systems. Our previous work used the steady state of power systems (e.g., through power flow analysis) to estimate the consequences of such commands [1]. However, when power systems move from one steady state to another, their physical components go through a transient period, during which the system state can experience oscillations. An anomaly in an oscillation can make power systems lose synchronisms and experience catastrophic consequences. Analysis based on the steady state cannot understand and predict those harmful oscillations. In this paper, we study the impacts of control-related attacks on the dynamic responses of a power grid, by mapping malicious commands (e.g., that disconnect transmission lines) delivered via communication networks to power systems’ electromechanical models. Based on theoretical analysis and numerical simulations, we find that it is challenging for attackers to destabilize a power system, but they can introduce large oscillations in the transient period and thereby cause physical damage.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126044160","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: 1