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This paper presents a scalable Multi-Agent System (MAS) for optimal operation of an islanded microgrid. Each autonomous element in the microgrid is represented as an intelligent agent in MAS. The MAS is developed such that it maximizes the power production of local distributed generators and minimizes the operational cost of microgrid subject to system constraints and units constraints. Agents in...
Microgrids are low voltage distribution networks comprising various distributed generators, storage devices and controllable loads. Microgrid can be operated in interconnected mode or islanded mode. Optimal generation scheduling is one of the microgrid energy management system's function for optimizing the microgrid operation. This paper presents a Multi-Agent System (MAS) for generation scheduling...
In this paper, a novel approach is proposed to solve the day-ahead multi-objective thermal generation scheduling problem. The proposed method combines the principles of Non-dominated Sorting Genetic Algorithm-II (NSGA-II) with problem specific crossover and mutation operators. Heuristics are used in the initial population by seeding the random population with a Priority list based solution for better...
This paper aims at providing a solution to Optimum Power Flow (OPF) in practical power systems by using a flexible genetic algorithm (GA) model. The proposed approach finds the optimal setting of OPF control variables which include generator active power output, generator bus voltages, transformer tap-setting and shunt devices with the objective function of minimising the fuel cost. The proposed GA...
In islanded microgrid design, a proper Distributed Energy Resource (DER) selection, sizing and effective coordination between resources are important and challenging optimization tasks. The types and sizes of renewable energy sources such as wind turbines, photovoltaic panels, the capacities of battery bank and the other distributed generators must be optimized in islanded microgrid design. In this...
Unit commitment problem is an important optimizing task in daily operational planning of power systems which can be mathematically formulated as a large scale nonlinear mixed-integer minimization problem for which there is no exact solution technique. The solution to the problem can be obtained only by complete enumeration, often at a prohibitively computation time requirement for realistic power...
Microgrids are low voltage intelligent distribution networks comprising various distributed generators, storage devices and controllable loads which can be operated as interconnected or as islanded system. The optimal generation scheduling is one of the important functions for the Microgrid operation. This paper describes a three-step efficient method for the optimal generation scheduling of a Microgrid...
Multi-agent system (MAS) is one of the most exciting and the fastest growing domains in agent oriented technology which deals with modeling of autonomous decision making entities. This paper presents an application of MAS for distributed energy resource (DER) management in a MicroGrid. MicroGrid can be defined as low voltage distributed power networks comprising various distributed generators (DG),...
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