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The most significant problem is to balance between generation and consumption in power systems ranging from small to large scales. This may be done by daily load scheduling in small-scale systems using metaheuristic optimization techniques such as the GA, the PSO and the SA etc. In the case of an off-grid low power wind-photovoltaic hybrid system, it is expected to power the loads without shedding...
Economic load dispatch problem becomes complex, when renewable energy sources are also considered with thermal power plant. Therefore, it is challenging to find the optimal solution at lower fuel cost, such that generation meets the load demand. This paper is mainly aimed to design economic load dispatch model for thermal and wind power plants. Due to the varying nature of wind speed, probabilistic...
In this paper, different selection, crossover including deferential evolution and mutation techniques are considered for optimizing the electrical power loss in real hydrocarbon industrial plant using genetic algorithm (GA). The subject plant electrical system consists of 275 buses, two gas turbine generators, two steam turbine generators, large synchronous motors, and other rotational and static...
This paper proposes a new method for automation and optimization of coverage-driven verification (CDV) of hardware systems that is based on evolutionary computing. In comparison with the standard CDV that utilizes random search, using this method, the convergence to the maximum coverage is much faster, fewer input stimuli are used and no manual effort is required from the user. Moreover, the optimization...
As wind turbines increase their power rating, the size and mass grows as well. The higher reliability is demanded in order to minimize the maintenance. Permanent magnet direct drive (PMDD) synchronous generators are a good solution since they omit the gearbox. While the large generator mass has been also a key difficult problem limiting the practical use of PMDD generator, which makes them difficult...
Reactive power optimization has an important role to play in operation of power system. Optimum scheduling of reactive power reduces system losses. In this paper reactive power optimization function is taken with the objective to minimize active power losses in transmission network. This objective function is subjected to power system inequality constraints and equality constraints of active and reactive...
A methodology of sizing optimization of a stand-alone hybrid wind/PV/diesel energy system with battery storage is addressed in this article. The aim is to find the optimal number of units guaranteeing that the life time round total system cost/emission is minimized subject to the constraint that the load energy necessities are completely covered. The system is optimized using genetic algorithms and...
The power transmission capability available from a transmission line design is limited by technological and economical constraints. Therefore, in order to maximize the amount of real power, reactive power flows must be minimized. Consequently, sufficient reactive power should be provided locally in the system to keep the bus voltages within nominal ranges in order to satisfy customer's equipments...
This paper presents the effect of Distributed Generators (DG) existence in the electrical power distribution networks taking IEEE 14 and IEEE 30 bus test feeders as proposed systems. The analysis is done to examine the effect on the overall system losses and voltage profile. The aim behind this study is to obtain the optimum location and penetration level of the added DG unit in order to decrease...
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