Browsing by Author "Arefi, A"

Now showing 1 - 3 of 3

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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 Incentivized and Optimized Dynamic Mechanism for Demand Response for Managing Voltage in Distribution Networks
(IEEE, 2022-09-05) Rahman, M. M; Arefi, A; Shafiullah, G. M; Hettiwatte, S; Azizivahed, A; Muyeen, S. M
The voltage regulation in distribution networks is one of the major obstacles when increasing the penetration of distributed generators (DGs) such as solar photovoltaics (PV), especially during cloud transients, causing potential stress on network voltage regulations. Residential demand response (DR) is one of the cost-effective solutions for voltage management in distribution networks. However, the main barriers of DR implementation are the complexities of controlling a large number and different types of residential loads, satisfying customers’ preferences and providing them fair incentives while identifying the optimum DR implementation locations and sizing as well as cooperating with the existing network equipment for the effective voltage management in the networks. A holistic and practical approach of DR implementation is missing in the literature. This study proposes a dynamic fair incentive mechanism using a multi-scheme load control algorithm for a large number of DR participants coordinating with the existing network equipment for managing voltage at medium voltage (MV) networks. The multi-scheme load control is comprised of short-interval (10-minute) and long-interval (2-hour) DR schemes. The dynamic incentive rates are optimized based on the energy contribution of DR participating consumers, their influence on the network voltage and total power loss improvement. The proposed method minimizes the DR implementation cost and size, fairly incentivizes the consumers participating in the DR and priorities their consumption preferences while reduces the network power losses and DGs’ reactive power contributions to effectively manage the voltage in the MV networks. An improved hybrid particle swarm optimization algorithm (IHPSO) is proposed for the load controller to provide fast convergence and robust optimization results. The proposed approach is comprehensively tested using the IEEE 33-bus and IEEE 69-bus networks with several scenarios considering a large number of DR participants coordinated with the DGs and on-load tap changer (OLTC) in the networks.
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.