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Energy management through Demand Response (DR) is one of the effective techniques, which can be implemented in a way beneficial to both the consumer and the utility in a smart grid environment. Generally, the maximum demand allowed by the utility and the penalty imposed, if used above the allowed limit, are taken as major parameters for the energy management in DR programs. This paper proposes a time...
Aggregated demand response for smart grid services is a growing field of interest especially for market participation. A growing trend in research is to utilize aggregated demand response for multiple smart grid services. This could be multi-market trading (day ahead, intraday and imbalance) or a combination of market and ancillary services such offering reserve power or congestion management. However,...
Thiswork proposes a Differential Evolution (DE) algorithm based energy management system (EMS) to optimize the performance of a microgrid in the presence of renewable energy sources. Various types of distributed generators (DGs), namely Micro Turbine (MT), Phosphoric Acid Fuel Cell (PAFC), Wind Turbine (WT), Photo-voltaic (PV) and battery (batt) are present in the micro-grid. Out of these DGs, WT...
A large amount of renewable generation reduces the electric load on conventional power systems especially on a clear day. It results in a decrease in the number of operating thermal power plants. One of the key technologies for ensuring the supply-demand balancing capabilities is the Home Energy Management System (HEMS). In several previous studies, the effects of an HEMS for one house have been evaluated...
Renewable hybrid systems, which can generate power from solar or wind with low cost, is commonly installed in remote areas. When some areas get grid connection, customers installed the hybrid system can earn cost savings if taking part in demand response programs. In this paper an optimal energy management for a grid connected photovoltaic-battery hybrid system is proposed to sufficiently utilize...
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