A novel contract-theoretic demand response management (DRM) framework in residential smart grid systems is introduced based on the principles of
READ MOREDemand Response Management (DRM) is a key component in the smart grid to effectively reduce power generation costs and user bills. However, it has been an open issue to address the DRM problem in a network of multiple utility companies and consumers where every entity is concerned about maximizing its own benefit. In this paper, we propose a
READ MOREDifferent technologies are introduced in a smart grid system in order to establish the demand response mechanism – demand scheduling, online energy monitoring, and
READ MOREWith the ongoing revolutionary growth of the industrial Internet of Things and smart grid networks, smart grid (SG) communication has been acknowledged as a next-generation network for intelligent and efficient electric power transmission. In SG networks, smart meters (SMs) generally send requests for electricity demand to service providers (SPs),
READ MOREDemand-response (DR) control in smart grids is a demand-side management (DSM) technique that defines how the demand side reacts to price tactics or incentive actions from a power unit [1,2].DR control is used for variations in consumption patterns by end-use consumers in reaction to adjustments in electricity pricing through
READ MOREWe investigated the real-time pricing demand response management system of multiple microgrids and multiple power users. Accordingly, we have proposed a Stackelberg-evolutionary joint game framework to examine the real-time pricing scheme of multiple microgrids and multiple power users so as to establish equilibrium strategies.
READ MOREDemand Response in Smart Grids. Pedro Faria and Zita V ale *. Research Group on Intelligent Engineering and Computing for Advanced Innovation and. Development (GECAD), Intelligent Systems
READ MOREWe have provided an overview of smart grid with its architecture, demand side management techniques, and demand response programs used in smart grid
READ MORESmart grid (SG) is an emerging technology which provides many services to the end users and utilities, such as load management, frequency regulation, and grid stability. Although many solutions exist to provide these services in a secure manner, but these solutions are not adequate keeping in view of the heavy cryptographic
READ MOREThe concept of smart grid was introduced a decade ago. Demand side management (DSM) is one of the crucial aspects of smart grid that provides users with the opportunity to optimize their load usage pattern to fill the gap between energy supply and demand and reduce the peak to average ratio (PAR), thus resulting in energy and economic efficiency
READ MOREDemand-side management, a new development in smart grid technology, has enabled communication between energy suppliers and consumers. Demand side energy management (DSM) reduces the cost of energy acquisition and the associated penalties by continuously monitoring energy use and managing appliance
READ MOREAbout this book. This book is the first of its kind to comprehensively describe the principles of demand response. This allows consumers to play a significant role in the operation of the electric grid by reducing or shifting their electricity usage in response to the grid reliability need, time-based rates or other forms of financial incentives.
READ MORESmart grid technologies mainly focus on advancements in distribution side of electricity network. Many people associate smart grid term to smart meters placed at the end users. The main goal of this paper is to overview demand side management technologies focusing on demand response (DR) and user engagement techniques. 2.
READ MOREThe sheer growth of electricity demand and the rising number of electricity-hungry devices have highlighted and elevated the need of addressing the demand response management problem in residential smart grid systems. In this article, a novel contract-theoretic demand response management (DRM) framework in residential
READ MOREThis thesis proposes a user aware demand management approach that manages residential loads while taking into consideration users'' comfort while investigating the
READ MOREThe devices in smart grids (SG) transfer data to a utility center (UC) or to the remote control centers. Using these data, the energy balance is maintained between consumers and the grid. However, this flow of data may be tampered by the intruders, which may result in energy imbalance. Thus, a robust authentication protocol, which supports
READ MOREWe consider a scheduling problem that abstracts a model of demand response management in a smart grid. We investigate the problem with a set of unrelated machines, and each job j (representing a client demand) is characterized by its release date, and its power request function expressing its request demand at specific times.
READ MOREAbstract: With the ongoing revolutionary growth of the industrial Internet of Things and smart grid networks, smart grid (SG) communication has been acknowledged as a next-generation network for intelligent and efficient electric power transmission. In SG networks, smart meters (SMs) generally send requests for electricity demand to service providers
READ MOREAbstract: Consumer demand profiles and fluctuating renewable power generation are two main sources of uncertainty in matching demand and supply. This
READ MOREDemand Response (DR) plays a vital role in a smart grid, helping consumers plan their usage patterns and optimize electricity consumption and also
READ MOREThis paper presents a multi-agent Deep Reinforcement Learning (DRL) framework for autonomous control and integration of renewable energy resources into smart power grid systems. In particular, the proposed framework jointly considers demand response (DR) and distributed energy management (DEM) for residential end-users. DR
READ MOREThis book analyzes the economic and technical effects of demand response programs in smart grids. A variety of operational and financial benefits are offered by demand response programs (DRPs) for load-serving entities, grid operators, and electricity consumers. The most notable advantages of DRPs are presented in this book, including
READ MOREAbstract: This paper studies price-based residential demand response management (PB-RDRM) in smart grids, in which non-dispatchable and dispatchable loads (including general loads and plug-in electric vehicles (PEVs)) are both involved. The PB-RDRM is composed of a bi-level optimization problem, in which the upper-level dynamic retail pricing problem
READ MORESmart grids enable greater customer participation by which the customers are encouraged to reshape their daily energy consumption pattern for the financial incentives, generally known as demand response (DR) programs. The demand response programs play an important key in improving grid stability by reducing the peak load and
READ MOREDemand-side management (DSM) and a market mechanism involving demand response (DR) receive significant attention. The DSM is an emerging initiative which is one of the key elements of restructured power systems. An objective of any DSM program could be peak load clipping instead of adding generation supply, by simply
READ MOREAbstract: Growing demand for electricity and the innovations in smart grid technologies is providing new opportunities for intelligent electrical demand loads control in the form of
READ MOREDemand Response. Demand response provides an opportunity for consumers to play a significant role in the operation of the electric grid by reducing or shifting their electricity usage during peak periods in
READ MORE1. Peak load reduction: In the smart grid, there are three different time-slots depending on the energy load on the grid – on-peak, mid-peak, and off-peak. During on-peak hours, energy demand from the customers is high. On the other hand, during mid-peak and off-peak hours, demands from the customers are moderate and low, respectively.
READ MOREAbstract: Demand side management (DSM) is an important way to achieve smart energy management. Herein, a dynamic price (DP)-based demand response
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