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Evaluation of Voltage Control Approaches for Future Smart Distribution Networks

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TNEI services, 2nd Floor Bainbridge House, 86 - 90 London Road, Manchester M1 2PW, UK
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School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
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Author to whom correspondence should be addressed.
Energies 2017, 10(8), 1138; https://doi.org/10.3390/en10081138
Received: 14 June 2017 / Revised: 29 July 2017 / Accepted: 31 July 2017 / Published: 3 August 2017
(This article belongs to the Section Electrical Power and Energy System)
This paper evaluates meta-heuristic and deterministic approaches for distribution network voltage control. As part of this evaluation, a novel meta-heuristic algorithm, Cuckoo Search, is applied for distribution network voltage control and compared with a deterministic voltage control algorithm, the oriented discrete coordinate decent method (ODCDM). ODCDM has been adopted in a state-of-the-art industrial product and applied in real distribution networks. These two algorithms have been evaluated under a set of test cases, which were generated to represent the voltage control problems in current and future distribution networks. Sampled test results have been presented, and findings have been discussed regarding the adoption of different optimization algorithms for current and future distribution networks. View Full-Text
Keywords: voltage control; renewable energy integration; deterministic and metaheuristic optimization algorithms voltage control; renewable energy integration; deterministic and metaheuristic optimization algorithms
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MDPI and ACS Style

Wang, P.; Yi, J.; Zangiabadi, M.; Lyons, P.; Taylor, P. Evaluation of Voltage Control Approaches for Future Smart Distribution Networks. Energies 2017, 10, 1138.

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