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Corresponding Author

Sedky, Mohamed Moustafa

Subject Area

Electronics and Communication Engineering

Article Type

Original Study

Abstract

The industrial revolution in Egypt and other developing countries need 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 study 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 constraints, it was found that the load shifting technique can reduce the peak demand cost, while increasing in running cost has been noticed. So, the shut-down period has been suggested and studied by CVX, and PSO in order to reduce both peak demand cost and running cost. Saving in cost is achieved by using PSO more than CVX.

Keywords

particle swarm optimization (PSO); Cost Saving; Industrial Production Line; Demand Side management (DSM)

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