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In this paper, we propose a method that uses model predictive control (MPC) to predict photovoltaic (PV) power generation, plan for the electricity demand in a building using the predicted value, and apply it online to correct the prediction error. First, we construct the regression model using a PV experimental unit and past data obtained from the Meteorological Agency. Next, we predict the PV power...
Household load hiding is a customer-oriented approach to avoid possible privacy leakage from electricity-consumption data reported by smart meters. The basic idea is that customers can actively distort their consumption profile using energy storage devices. In this paper, we propose a practical design framework for an electric vehicle (EV)-assisted battery load hiding method to improve privacy as...
In this paper, we design an architecture of Energy Management Systems (EMS) for resilient operation of microgrids and describe autonomous mechanisms that dynamically enable 1) enhancement for scalability, 2) system modification and upgrade, and 3) failure detection and recovery. Designing the resilient architecture and achieving autonomous mechanisms are of critical importance for a system operator...
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,...
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...
Due to the increasing concern for greenhouse gas emissions and fossil fuel security, electric vehicles (EVs) have attracted much attention in recent years. EVs can aggregate together constituting the vehicle-to-grid system. Coordination of EVs is beneficial to the power system in many ways. In this paper, we formulate a novel large-scale EV charging problem with energy trading in order to maximize...
Energy cost from Heating-Ventilation-Air-Conditioners (HVAC) is a significant fraction of the overall operational cost of commercial buildings. Moreover, in developing countries such as India with inadequate grid connectivity and frequent outages, diesel generators (DG) are a common source of backup power. While this may address the problem of outages, power from DGs is highly expensive. While solar...
This paper proposes a bilevel programming model to day-ahead electricity tariff optimization in smart grids to balance grid-level demand and supply at all times. In this Stackelberg game approach, the leader is the grid operator, who aims to set the tariff to ensure the balance of supply and demand. The followers are groups of consumers, who, in response to the observed tariff, schedule their controllable...
Cellular access networks need to reduce their dependence on the grid, with the twofold objective to decrease operational cost and guarantee self-sustainability in case of grid unreliability. For doing so, an interesting possibility is to use renewable energy generators. The power supply system considered here consists of small units that power individual Base Stations (BSs) and are composed of solar...
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