Journal article
A new approach to voltage management in unbalanced low voltage networks using demand response and OLTC considering consumer preference
International Journal of Electrical Power & Energy Systems, Vol.99, pp.11-27
2018
Abstract
Voltage unbalance and magnitude violations under normal operating conditions have become main power quality problems in many low voltage (LV) distribution networks. Maintaining the voltage level in an LV network within the standard limits is the main constraining factor in increasing the network hosting ability for rooftop photovoltaic (PV). This study presents a new effective method for voltage management in unbalanced distribution networks through the implementation of optimal residential demand response (DR) and on-load tap changers (OLTCs). The proposed method minimises the compensation costs of voltage management (cost of DR and network loss), while prioritises the consumer consumption preferences for minimising their comfort level violations. A modified particle swarm optimisation algorithm (MPSO) is utilised to identify the optimal switching combination of household appliances and OLTC tap positions for the network voltage management. The proposed method is comprehensively examined on a real three-phase four-wire Australian LV network with considerable unbalanced and distributed generations. Several scenarios are investigated for improving the network voltage magnitude and unbalance considering individual and coordinated operations of DR and OLTCs (three phase tap control and independent phase tap control). Simulation results show that the coordinated approach of DR and OLTC, especially, DR integrated with OLTC independent phase tap control effectively improves the network voltage and increases the PV hosting capacity.
Details
- Title
- A new approach to voltage management in unbalanced low voltage networks using demand response and OLTC considering consumer preference
- Authors/Creators
- Md Moktadir Rahman (Author/Creator)A. Arefi (Author/Creator)GM. Shafiullah (Author/Creator)S. Hettiwatte (Author/Creator)
- Publication Details
- International Journal of Electrical Power & Energy Systems, Vol.99, pp.11-27
- Publisher
- Elsevier Limited
- Identifiers
- 991005543181207891
- Copyright
- © 2017 Elsevier Ltd.
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.18 Power Systems & Electric Vehicles
- 4.18.204 Smart Grid Optimization
- Web Of Science research areas
- Engineering, Electrical & Electronic
- ESI research areas
- Engineering