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Supplying electrical energy to the load on demand, economically and with acceptable levels of reliability and service quality is the main task of a distribution system. Energy distribution reliability is important in the competition conditions in electricity markets because consumers directly supply energy. Therefore, it is not enough to estimate how reliable the distribution system is at present...
In this work, we treat a simultaneously integrated maintenance optimization problem for a power generation system by studying the case of wind turbine. The generation system composed by a wind turbine system in order to satisfy a randomly power demand under a given service level and during a finite horizon. The goal of this work is to develop a jointly energy production and maintenance strategy optimization...
The article concentrates on the energy storage problem arising from small scale residential electricity generation, in the current case wind micro turbine and PV panels. The research objective is to increase the locally consumed energy share by using two water tanks, aiming to shorten the breakeven periods of the renewable energy production devices. The shaved peaks from stochastic wind turbine and...
The use of fossil energy has caused air pollution, energy crises, and it is not environmentally friendly. So, that is necessary to find alternative energy from biomass materials. Indonesia has the potential of developing alternative energy with a huge natural resource. Examples of mass bio energy developed such as: Jatropha, Palm, and Nyamplung (Calophyllum inophyllum L) oils. To assist the development...
Short term prediction of energy consumption of residential houses is of increasing interest as self sustainable off grid energy solutions as well as distributed generation and energy exchange grids are developed. In areas with non-temperate seasons, weather conditions induce noticeable changes in consumption patterns depending on the tenant's air conditioning settings and the house's exposure to the...
This paper presents an optimized scheduling method for Plugged-in Electric Vehicles (PEV) that are connected to a residential smart microgrid. Two modes of operation are studied: grid-tied and islanded mode. A Genetic Algorithm (GA)-based method is utilized to optimize an objective function, which includes the cost of energy production, and guarantees the best possible energy consumption profile....
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