Optimal cost benefit of the ETOU electricity tariff for manufacturing operation by using optimization algorithms

Alias, Nur Umirah (2021) Optimal cost benefit of the ETOU electricity tariff for manufacturing operation by using optimization algorithms. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

	Text (24 Pages) Optimal cost benefit of the ETOU electricity tariff for manufacturing operation by using optimization algorithms.pdf - Submitted Version Download (1MB)
	Text (Full text) Optimal cost benefit of the ETOU electricity tariff for manufacturing operation by using optimization algorithms.pdf - Submitted Version Restricted to Repository staff only Download (2MB)

Abstract

Since the electricity market are getting more attention due to the electricity demand, there are many options of tariff can be chosen thus making it harder for consumers to make decisions. The consumers looking for an affordable tariff rate that able to give the benefit in reducing the total electricity cost. In regard to the issue, Tenaga Nasional Berhad (TNB) has introduced a more advanced tariff under Demand Side Management (DSM) programs namely Enhanced Time of Use (EToU) tariff as an advanced version of the Time of Use (ToU) tariff for generation and demand side benefits. However, the number of participants joining the programs are less that the expected due to the lack of awareness and knowledge about energy conservation and demand side management strategy. Thus, in this study, simultaneous DSM strategies are proposed for energy consumption cost reduction for manufacturing energy load profiles. Optimization algorithm namely Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) are implemented and compared in order to optimize the load profile. The significant test has been done to four types of industrial consumers from low, medium and high voltages segment. The proposed method had shown reduction in electricity cost at all time zones. The case for this study has been split into six cases that involve the baseline cases using flat and ToU tariff, using normal EToU and using the DSM strategies load adjustment of both algorithms. The end results have shown reduction in total electricity consumptions for industrial D and E1 which is 12% (D) and 2% (E1). Meanwhile, for E2 and E3, there is an increment in the electricity consumptions but it still in the permissible range, but the peak consumptions have able to be shift to mid-peak and off-peak. The electricity bills also have been reduced for all cases that involves load adjustment and the most reduction has been recorded in 30% load adjustment. For 30% load adjustment using ACO optimization, the electricity costs have been decreasing by 19% (D), 16% (E1), 9% (E2) and 1.13% (E3). Meanwhile, for PSO algorithm, the costs have decrease by 40% (D), 47% (E1), 15% (E2) and 3% (E3). The findings of this study hoped to help industrial consumers in managing their tariff selection while enhance the demand side management programs in Malaysia.

Actions (login required)

View Item