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This paper develops a model for Demand Response (DR) by utilizing consumer behavior modeling considering different scenarios and levels of consumer rationality. Consumer behavior modeling has been done by developing extensive demand-price elasticity matrices for different types of consumers. These price elasticity matrices (PEMs) are utilized to calculate the level of Demand Response for a given consumer...
In this paper the smart grid features of Demand Response (DR) and Volt/Var Control (VVC) are integrated in a distribution system. A coordination scheme for DR and VVC is developed and simulated on American Electric Power's 12.47 KV distribution feeders. Multi Agent System (MAS) is used to establish the coordination scheme by the exchange of distribution network model in real time. Varying levels of...
This paper develops a market optimization model for a microgrid with Demand Side Bidding (DSB) and Demand Response (DR) by residential consumers. Demand Response (DR) models have been developed by utilizing consumer behavior modeling by Price Elasticity Matrices (PEMs) considering different scenarios and levels of consumer rationality. These PEMs are utilized to calculate the levels of demand response...
This paper develops a model for Demand Response (DR) by utilizing consumer behavior modeling considering different scenarios and levels of consumer rationality. Consumer behavior modeling has been done by developing extensive demand-price elasticity matrices for different types of consumers. These Price Elasticity Matrices (PEMs) are utilized to calculate the level of demand response for a given consumer...
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