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We consider the setting in which an electric power utility seeks to curtail its peak electricity demand by offering a fixed group of customers a uniform price for reductions in consumption relative to their predetermined baselines. The underlying demand curve, which describes the aggregate reduction in consumption in response to the offered price, is assumed to be affine and subject to unobservable...
The monitoring of the smart distribution grid requires a reliable telecommunication system. In this paper, we propose to use cognitive radio to enhance the reliability of smart grid communications. We show that, in case of failure of the primary wireless communication network used for the advanced metering infrastructure (AMI) backhaul, cognitive radio can be used to connect aggregators to a backup...
A Smart Grid system involves many applications, such as power grid state monitoring and control, demand response, distribution automation, distributed generation and microgrids. They will generate a large volume of data traffic over the grid with different quality of service (QoS) requirements, which present challenges to the existing network architecture and protocols. In this paper, we propose to...
Smart grid (SG) is an efficient technology for electrical power distribution and management by incorporating two-way communications between utilities and customers. The versatile features of cognitive radio (CR) technology meet the requirements of SG communication and have drawn much attention. In this paper, we study the On-Demand cognitive radio communication for SG. Our contributions includes two...
In order to optimize the power consumption and improve the energy efficiency, the smart grid (SG) provides reliable, efficient and secured electrical power generation and distribution. Smart grid aims to manage and control the consumer demand and provide the needed power. Thus, in smart grid architecture, the information about power supply must be known, in advance, by the operator. This information...
Facing current and future developments of the energy system, including the integration of large numbers of renewable energy sources and electric vehicles, live monitoring and control becomes essential for stable operation of the power grid. This transition to a Smart Grid requires coupling the power system with a reliable and real-time capable communication infrastructure. In response to this demand,...
Physical consequences to power systems of false data injection cyber-attacks are considered. Prior work has shown that the worst-case consequences of such an attack can be determined using a bi-level optimization problem, wherein an attack is chosen to maximize the physical power flow on a target line subsequent to re-dispatch. This problem can be solved as a mixed-integer linear program, but it is...
Smart Grids are characterized by a high level of interconnectedness and interdependency between their sub-components. As this increases the surface for potential cyber attacks, the control system communication needs to be protected. IEC 61850 is about to become the most prevalent communication standard in the process related parts of Smart Grid control systems, but it was not designed with security...
This paper introduces combined data integrity and availability attacks to expand the attack scenarios against power system state estimation. The goal of the adversary, who uses the combined attack, is to perturb the state estimates while remaining hidden from the observer. We propose security metrics that quantify vulnerability of power grids to combined data attacks under single and multi-path routing...
A Power Producer and Supplier (PPS) in the deregulated energy market requires forward market interactions to procure energy as precisely as possible in order to reduce imbalance energy (on-line demand vs. supply gap). This paper presents, 1) (off-line) an effective demand aggregation based strategy for creating a number of balancing groups that leads to higher predictability of group-wise demand,...
Thanks to the various advantages over conventional cars, autonomous vehicles (AVs) will take a more important role in the future transportation system. Since AVs are typically electric vehicles (EVs), they can contribute to vehicle-to-grid (V2G) services. While it is generally not feasible to dictate EV routes, we can design AV travel plans to fulfill certain system-wide objectives. In this paper,...
This paper investigates the energy management problem for multiple self-interested users, each with renewable energy generation as well as both the fixed and controllable loads, that all share a common energy storage system (ESS). The self-interested users are willing to sell/buy energy to/from the shared ESS if they can achieve lower energy costs compared to the case of no energy trading while preserving...
We consider the decentralized control of radial distribution systems with controllable photovoltaic inverters and storage devices. For such systems, we consider the problem of designing controllers that minimize the expected cost of meeting demand, while respecting distribution system and resource constraints. Employing a linear approximation of the branch flow model, we formulate this problem as...
In this paper we propose an optimal Electric Vehicle (EV) charging scheduling scheme with the option of Vehicle-to-Grid (V2G) and Vehicle-to-Vehicle (V2V) energy transfer. In this way, we aim to increase customer satisfaction as well as energy utilization compared to settings where only energy from the grid exists. We assume a single charging station to exist and we present three alternative formulations...
In smart grid, one of the most important research areas is load forecasting; it spans from traditional time series analysis to recent machine learning approach and mostly focuses on forecasting aggregated electricity consumption. However, the importance of demand side energy management including individual load forecasting is becoming critical. In this paper, we propose deep neural network (DNN) based...
We consider the problem of power demand forecasting in residential micro-grids. Previous approaches rely on ARMA models and, recently, on neural network architectures that are however solely used to perform one-step ahead predictions. Here, we propose an original forecasting technique based on non-linear, autoregressive (NAR) neural networks. Our architecture allows for parallel and efficient training...
Cost efficiency and supply reliability are of major interest for power grids and networks. Therefore, we introduce a novel approach for power line diagnostics using channel measurements of power line communication devices. This approach does not require the test subject to be taken out of service. Periodic channel measurements provide insight into possible quality degradations of the cable as well...
The two major sources of disturbances for an efficient and reliable data transmission through power lines, known as power line communication (PLC), are impulsive noise (IN) and narrow band interference (NBI). In this paper, we propose an algorithm to cancel the IN and NBI simultaneously for an OFDM based PLC system. The proposed method exploits the duality of the problem, where the IN is sparse in...
This paper assesses the performance of actual PRIME v1.3.6 and PRIME v1.4 systems when used for Smart Metering applications. The analysis is performed at the application level using the DLMS/COSEM stack. Hence, it considers performance indicators that are of practical interest for distribution system operators, such as the availability and the average time needed to read the energy load profile of...
Identification of malfunctioned PV panels in a large-scale PV plant requires panel-level health checks. A power line communication (PLC) on PV cables may be helpful for gathering health monitoring status (e.g., voltage and temperature) from each panel. However, conventional PLCs, work in parallel-connected cases, cannot be simply applied to series-connected cases, whose configurations are very common...
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