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Intelligent demand side management for optimal energy scheduling of grid connected microgrids

, 2021
The incorporation of renewables and communication technologies to the utility paves a way for self-sustained microgrids (MG). The volatile nature of these resources, uncertainties associated with the time-varying load, and market prices impose the ...
R. Kumar   +3 more
semanticscholar   +1 more source

Design of Reliable IoT Systems With Deep Learning to Support Resilient Demand Side Management in Smart Grids Against Adversarial Attacks

IEEE transactions on industry applications
Demand side management (DSM) has become one of the major concerns of the smart grids to cope with the penetration of renewable energy. The availability of new communication technologies can enhance the resilient operation of smart grids for DSM. However,
M. Elsisi, C. Su, Mahmoud N. Ali
semanticscholar   +1 more source

IoT-based optimal demand side management and control scheme for smart microgrid

, 2021
Renewable energy resources (RESs) are highly speared to cover colossal electricity demand. Smart microgrids (SMGs) are engaged with demand-side management (DSM) to save more energy and maximize energy efficiency.
B. E. Sedhom   +6 more
semanticscholar   +1 more source

Impact of demand side management on optimal sizing of residential battery energy storage system

Renewable Energy, 2021
Widespread deployment of residential solar photovoltaic (PV) systems have been encouraged with decreasing system costs. Recently, cutbacks in government incentives such as Feed-in-tariffs (FiT) and feed-in power limits enforced by grid operators have ...
U.G.K. Mulleriyawage, W. Shen
semanticscholar   +1 more source

Demand-side management

Utilities Policy, 1993
Abstract Demand-side management (DSM) programmes can play a valuable role in regulated natural monopolies to compensate for the average pric ing signals to customers arising from classical cost-of-service tolls and tariffs. The corrective influence would apply equally to either increase or decrease demand, depending upon whether average costs for a ...
openaire   +1 more source

Demand side management

2023
Abstract This chapter describes demand side management, which is a method to better utilise the residual load by shifting consumption over time. The two basic methods, shifting loads and reducing loads, are described. Several examples show how schedules can be created to better use the residual load.
openaire   +1 more source

Mechanism Design for Demand-Side Management

IEEE Intelligent Systems, 2017
As the penetration of renewables into the grid increases, so do the uncertainty and constraints that need to be taken into account during demand-side management (DSM). Mechanism design (MD) provides effective DSM solutions that incorporate end-user preferences and uncertain capabilities, without jeopardizing comfort.
Charilaos Akasiadis   +1 more
openaire   +1 more source

A Mechanism for Cooperative Demand-Side Management

2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), 2017
Demand-side management (DSM) is an important theme in studies of the Smart Grid and offers the possibility of leveling power consumption with its attendant benefits of reducing capital expenses. This paper develops an algorithmic mechanism that reduces peak total power consumption and encourages prosocial behavior, such as expressing flexibility in one'
Guangchao Yuan   +3 more
openaire   +1 more source

A Demand Side Management Approach For Optimal Sizing of Standalone Renewable-Battery Systems

IEEE Transactions on Sustainable Energy, 2021
This paper develops a novel demand side management (DSM) approach to incorporate in optimal sizing of solar photovoltaic (PV), wind turbine (WT), and battery storage (BS) for a standalone household.
Rahmat Khezri, A. Mahmoudi, M. H. Haque
semanticscholar   +1 more source

Demand side management of electric boilers

2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 2012
A control strategy for demand side management of electric storage water heaters is presented in this paper. The proposed algorithm reduces load variations, during any given optimization period, taken into account the base load. The algorithm uses the energy consumption model of the water heater as an input.
Elke Klaassen   +3 more
openaire   +2 more sources

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