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ABSTRACT: Smart Grid technology is recognized as a key component of the solution to challenges such as the increasing electric demand, an aging utility infrastructure and workforce, and the environmental impact of greenhouse gases produced during electric generation. This paper presents the application of a hybrid optimization algorithm for distributed energy resource (DER) management in Smart Grid operation. The approach emphasizes the advantages of using multiagent systems for profitable operation of a Smart Grid in the energy market. The trading strategy adopted for the auction process is a profit-maximizing adaptive bidding strategy based on risk and competitive equilibrium price prediction. The auctioneer manages the usage of DERs by receiving bids from buyers and asks from sellers. A hybrid-immune-system-based particle swarm optimization is used to minimize the fuel cost for generation assuming realistic market prices for power, distributed generator bids reflecting realistic operational costs, and load bids customized according to the consumers' priorities. The simulation results clearly indicate that the agent-based management is effective in coordinating the various DERs economically and profitably.
IEEE Transactions on Industrial Electronics 11/2011; · 5.16 Impact Factor
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ABSTRACT: This paper presents the implementation of distributed energy resource management in smart grid operation. The approach utilizes the advantages of using multi agent systems for profitable operation of a smart grid in the energy market. The trading strategy adopted for the continuous double auction is a profit-maximizing adaptive bidding strategy based on risk and competitive equilibrium price prediction. The auctioneer manages the usage of distributed energy resources by receiving bids from buyers and asks from sellers. An artificial immune system based algorithm is applied on a typical study case network to optimize the generation assuming realistic market prices for power and distributed generators bids reflecting realistic operational costs. Simulation results clearly indicate that the agent based management is effective in coordinating the various distributed energy resources economically and profitably.
Power and Energy Society General Meeting, 2010 IEEE; 08/2010
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ABSTRACT: This paper presents the implementation of distributed controls in a microgrid operation. The approach utilizes the advantages of using Multi Agent Systems technology for controlled operation of a microgrid. The auctioneer aims to optimize the operation of the microgrid by optimizing the production of local distributed generators. An artificial immune system based algorithm is applied on a typical study case network assuming realistic market prices for power and distributed generators bids reflecting realistic operational costs. Simulation results clearly indicate that the agent based control framework is effective in coordinating the various distributed energy resources economically.
Innovative Smart Grid Technologies (ISGT), 2010; 02/2010
