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With the increasing demand for electricity and the advent of smart grids, developed countries are establishing demand side management (DSM) techniques to influence consumption patterns. The use of dynamic pricing strategies has emerged as a powerful DSM tool to optimize the energy consumption pattern of consumers and simultaneously improve the overall efficacy of the energy market. The main objective...
A multi-agent system based distributed EMS (energy management system) is proposed in this paper to perform optimal energy allocation and management for grids comprising of renewables, storage and distributed generation. The reliable and efficient operation of smart grids is slackened due to the presence of intermittent renewables. As the load demand and renewables are uncertain throughout the day,...
This paper addresses the siting and sizing of electric vehicle (EV) charging stations in the distribution system as a multi-objective optimization problem. The minimization of total real power loss and total voltage deviation are considered as the objective functions of the problem. An algorithm based on integration of Non-dominated Sorting Genetic Algorithm II (NSGA-II) with Gauss-Seidel load flow...
The high penetration of Distributed Generators (DGs) increases the need for monitoring and protection of the distribution system. The stochastic nature of the DGs may result in varying fault currents seen by the conventional over-current protection relays and thereby disturb the coordination of the relays. This necessitates an effective numerical relay that can capture the changes in the varying nature...
In this paper, a hybrid approach to solve thermal generator scheduling is proposed. The proposed approach combined modified priority list method with 2-opt (MPL-2OPT) heuristic search method to solve the unit commitment problem and the economic load dispatch problem is solved by lambda iteration. The proposed method MPL-2OPT is first used to solve thermal generating unit scheduling with a single objective...
Electricity markets in countries around the world are being restructured in pursuit of economic efficiency through competition. However, unpredictability in electricity prices and previous occurrences of market failure have indicated a need to better understand the complex interactions between the various market participants as well as to design market rules that maximizes efficiency and security...
Researchers have been taking efforts to reduce the dependency on distributed generators, due to high fuel cost and problems associated with the depletion of non-renewable energy sources. Hence, it becomes inevitable to formulate techniques, which can utilize alternate energy sources and capable of meeting power demands in a cost effective manner. The concept of Multi-Agent Systems (MAS) is novel in...
The National Electricity Market of Singapore (NEMS) is designed to promote the efficient supply of competitively priced electricity. In Singapore, the Power Demand and Uniform Singapore Energy Price (USEP) vary in half hour periods. This paper presents a Multi-agent System (MAS) to effectively manage the energy sources of a microgrid depending on the power requirement and market price. The MAS is...
Multi-agent Systems (MAS) are the new paradigms for building and understanding Distributed Energy Systems (DES). MAS are an efficient problem solving methodology, which has gained popularity among researchers all over the world. One important advantage of these systems are that, once the researchers gain more knowledge about MAS, they can integrate them with more new features thereby being able to...
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