الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
The industrial revolution in Egypt and other developing countries needs a huge amount of power, while utility could not be able to provide the needed energy and both the cost of energy and environmental issues should be also considered. So, energy saving can be one of the effective solutions to such problems. Demand Side Management (DSM) can be introduced as an effective system management for increasing the efficiency of the grid as it can save energy to both utility and consumer. DSM has different techniques including load shifting strategy that reshapes the load curve to reduce the peak demand and hence the overall total cost. In this thesis a granite factory is considered as a case study where the load shifting technique is applied in order to reduce the running cost. The applied optimization technique cost function mainly depends on three main parameters: electrical cost (which is divided into on-peak and off-peak periods), demand cost (depends on the maximum utilized power) and workers’ wages (based on night or day shifts). Two different optimization techniques are applied and compared to get the best optimal results. The first technique is Particle Swarm Optimization (PSO) and the second technique is CVX that has been introduced and implemented in MATLAB® 2017 as a guide optimization reference technique. By comparing the results from different operating conditions and cases, it was found that the load shifting technique can reduce the peak demand and capital cost, while increasing in running cost has been noticed. So, the shut-down period has been suggested and studied in order to reduce both capital cost and running cost. Utilization of variable frequancey drive (VFD) within the industrial factory has been suggested and utilized to change one of the factory production line machine speeds as another option of reducing the energy consumption particularly for variable load operating conditions. The results are deduced experimentally and via Simulink simulation analysis of an electro-pneumatic production line sample, showing the possible effectiveness of the VSD as industrial equipment to save energy and reduce cost.