Demand Side Management Energy Profile Optimization

Mohd Asari, Nurul Asniza (2017) Demand Side Management Energy Profile Optimization. Technical Report. UTeM, Melaka. (Submitted)

Text Demand Side Management Energy Profile Optimization - Nurul Asniza Mohd Asari - 24 pages.pdf - Submitted Version Download (403kB)

Abstract

The energy growth for Malaysia is rapidly increasing as the country moving forward to be the one of the industrial revolution country. During the peak hours, the energy generated is more expensive than the off peak which rises the cost of generation. Due to that reason, Demand Side Management (DSM) through Demand Response (DR) technique is introduced to modify the demand profile by implementing different strategies of measures. The objective of this study is to optimize the energy profile for commercial sector as well as analyze the reduction of electricity cost by using the optimization technique. An Artificial Intelligence technique, which is Evolutionary Programming (EP) had been implemented to optimize the load profile of a commercial installation. Significant testing had been done while the proposed optimization technique shows the ability to reform the Maximum Demand from peak zone to off peak zone as to as reduce the electricity cost. The test results have been validated by using 4 cases which are conventional method for C1 ToU,C2 ToU, C1 EToU and C2 ETou tariff respectively. The impact of the EP has been analyzed while the performance of C1 and C2 EToU tariff indicate the optimum result of electricity cost for the medium voltage of installation. It is hope that the results from this study will benefits the engineer to rearrange the profile so that the demand side will enjoy significant reduction of electricity cost in the future.

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