Evaluation of Voltage Control Approaches for Future Smart Distribution Networks

Pengfei Wang, Jialiang Yi, Mansoureh Zangiabadi, Pádraig Lyons and Phil Taylor
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Pengfei Wang: TNEI services, 2nd Floor Bainbridge House, 86 - 90 London Road, Manchester M1 2PW, UK
Jialiang Yi: School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Mansoureh Zangiabadi: School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Pádraig Lyons: School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Phil Taylor: School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK

Energies, 2017, vol. 10, issue 8, 1-17

Abstract: 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.

Keywords: voltage control; renewable energy integration; deterministic and metaheuristic optimization algorithms (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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