This paper presents an optimization method to the Demand Side Energy Management System (DSEMS) of a given consumer (e.g.an industrial compound or university campus) with respect to hourly electricity prices. The demands can be supplied through the main grid and stochastic Distributed Energy Resources (DERs), such as wind and solar power sources. To solve this DSEMS problem and optimization algorithm based on Linear Programming (LP) approach has been implemented. The objective of the proposed method is to maximize the utilization of the cluster of demands. This LP algorithm allows the cluster of demand to buy, store and sell energy at suitable times to adjust the hourly load level. To evaluate the performance of the proposed algorithm an I...
To achieve a high level of reliability and robustness in power systems, the grid is usually designed...
Demand-side management (DSM) is an effective way to strengthen the present power system's reliabilit...
The implementation of local electricity markets (LEMs) requires efficient tools that can provide sol...
Abstract: Traditional power grid is presented with challenges at every section of the grid, from gen...
This work concentrates on the problem of load scheduling in demand-side management for residential u...
The residential sector is currently one of the major contributors to the global energy balance. Howe...
As compared to traditional flat electricity rates, real-time electricity pricing methods have the po...
In this paper demand side management (DSM), characterized by shifting techniques, is applied to a re...
In the current electrical grid, utility companies have begun to use demand side management (DSM) pro...
A decision-support tool (ORES) in the form of a linear program is developed to determine the optimal...
)Received 29/11/2011; accepted for publication 9/2/2012( ABSTRACT. This paper proposes a Virtual Pow...
Demand side management (DSM) is major aspects in a smart grid which allows customers to take decisio...
Demand side management (DSM) is major aspects in a smart grid which allows customers to take decisio...
In this paper, we consider the problem of optimal demand response and energy storage management for ...
Soaring energy demand and the establishment of various trends in the energy market have paved the wa...
To achieve a high level of reliability and robustness in power systems, the grid is usually designed...
Demand-side management (DSM) is an effective way to strengthen the present power system's reliabilit...
The implementation of local electricity markets (LEMs) requires efficient tools that can provide sol...
Abstract: Traditional power grid is presented with challenges at every section of the grid, from gen...
This work concentrates on the problem of load scheduling in demand-side management for residential u...
The residential sector is currently one of the major contributors to the global energy balance. Howe...
As compared to traditional flat electricity rates, real-time electricity pricing methods have the po...
In this paper demand side management (DSM), characterized by shifting techniques, is applied to a re...
In the current electrical grid, utility companies have begun to use demand side management (DSM) pro...
A decision-support tool (ORES) in the form of a linear program is developed to determine the optimal...
)Received 29/11/2011; accepted for publication 9/2/2012( ABSTRACT. This paper proposes a Virtual Pow...
Demand side management (DSM) is major aspects in a smart grid which allows customers to take decisio...
Demand side management (DSM) is major aspects in a smart grid which allows customers to take decisio...
In this paper, we consider the problem of optimal demand response and energy storage management for ...
Soaring energy demand and the establishment of various trends in the energy market have paved the wa...
To achieve a high level of reliability and robustness in power systems, the grid is usually designed...
Demand-side management (DSM) is an effective way to strengthen the present power system's reliabilit...
The implementation of local electricity markets (LEMs) requires efficient tools that can provide sol...