Optimization of distributed Power Generation in Smart Microgrid using Genetic Algorithm

SEEE DIGIBOOK ON ENGINEERING & TECHNOLOGY, VOL. 01, FEB 2018 PP.(211-217)
Abstract– In smart grids, one of the most important objective is the ability to improve the grids situational awareness and allows for fast acting changes in power generations. Microgrid has caused increasing attention for its high efficiency and low emissions. In this paper, share’s a power generation in a microgrid including a wind turbine, solar pv array and then the modelling of various DERs are conducted and the objective functions and constraints are developed. Minimizing the cost of generation and the inconvenience caused due to shifting of loads is a multi-objective optimization problem. It shares optimally the power generation in a microgrid including wind plants, photovoltaic (PV) plants and a combined heat and power (CHP) system. In the end the genetic algorithm is employed to solve the optimal model.
Index Terms – Microgrids, DERs, MGA.
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RAJAKUMARI. M , Dr.N. NARMADHAI
Government College of Technology-Coimbatore
msrajijo@gmail.com,
narmadhai@gct.ac.in

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