Browsing by Author "Rahman, M. D. M"

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Improvement of voltage magnitude and unbalance in LV network by implementing residential demand response
(IEEE, 2017-07-16) Rahman, M. D. M; Hettiwatte, S. N; Shafiullah, G. M; Arefi, A; Pezeshki, H
Maintaining voltage levels in low voltage (LV) distribution network within the standard limits is the main constraining factor in increasing network hosting ability for high penetration of rooftop photovoltaic (PV). Distribution system operator must be able to take corrective approach to avoid critical voltage unbalance and magnitude violations where rooftop PV generation is high. This study presents an effective method for voltage management in distribution networks through implementation of optimal residential demand response (DR) and transformer tap setting using a particle swarm optimization algorithm. The method is comprehensively verified on a real Australian distribution network with considerable unbalance and distributed generations. The simulation results show that PV penetration of the network can be further increased with the proposed approach.
Embargo
An intelligent approach of achieving demand response by fuzzy logic based domestic load management
(IEEE, 2014-09-28) Rahman, M. D. M; Hettiwatte, S. N; Gyamfi, S
Demand response is an important demand-side resource that allows consumers to consume less electricity when the system is under stress. Existing demand response mechanism reduces power consumption by forcefully shutting down the consumers' loads or punishing the consumers with high consumption prices during high peak hours without considering their comfort level. This paper presents a methodology to design a model for domestic load management based on fuzzy logic techniques where three optimization parameters - comfort, cost and demand response are taken into account. Furthermore a comparative analysis for the power consumption and cost saving performance is carried out to show the benefit of using renewable energy sources along with a fuzzy logic based load controller. Simulation results show that the proposed controller successfully limits the power consumption during the peak hours and concurrently maximizes the savings of energy consumption cost without violating consumers' comfort level.
Embargo
Penetration maximisation of residential rooftop photovoltaic using demand response
(IEEE, 2016-10-06) Rahman, M. D. M; Arefi, A; Shafiullah, G. M; Hettiwatte, S. N
The increasing penetration of roof-top photovoltaic system has highlighted immediate needs for addressing power quality concerns, especially where PV generation exceeds the household demand. This study proposes an approach for optimal implementation of demand response in residential sector to eliminate voltage violations, especially during high PV generation periods. The proposed approach uses a load flow sensitivity method to optimise the demand response implementation location and size for PV penetration maximisation in distribution networks. The simulation results on IEEE 13-bus test system show that using the proposed approach every 1 kW of DR implementation increases PV penetration by 2 kW.