الفهرس 
صفحة العنوانOnly 14 pages are availabe for public view
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Abstract
The interminably growing demand for DC electricity in a world nowadays claims an efficient and reliable power supply system. Therefore, the need for Distributed energy resources such as diesel generators, wind energy, solar energy and fuel cell stacks can be combined within a medium voltage DC microgrid to provide energy in the form of medium voltage direct current to the consumers in a sustainable manner. To ensure more economical energy supply.
At this thesis, an energy management system EMS is produced for isolated medium voltage direct current microgrid MVDC MG (multi-machines) considering the operating cost of each and scheduling the optimal operation for each of energy distributed resources mentioned.
The proposed economic scheduling used a particle swarm optimization algorithm (PSO). The efficacy of PSO is compared with other mathematics technique as LOP in terms of performance measurement indices, which are cost functions of electricity probability.
The results show that the proposed technique manage the operation of micro grid with (multi-machines) under different operating conditions and reducing the cost of microgrid compared without applying the mentioned optimization techniques on energy production units.
Different cases are studied to define optimal generation managing of stand-alone MVDC MG considering different weather forecasting during one year. Several factors also are taken into consideration to evaluate economic benefits of studied scheme. In addition, studied cases are sized by the proposed PSO algorithm and LOP using MATLAB program software. Obtained results show that algorithms successes in managing MG scheme with minimum cost.