Evaluation of Voltage Control Approaches for Future Smart Distribution Networks

被引：3

作者：

Wang, Pengfei ^{[1
]}

Yi, Jialiang ^{[2
]}

Zangiabadi, Mansoureh ^{[2
]}

Lyons, Padraig ^{[2
]}

Taylor, Phil ^{[2
]}

机构：

[1] TNEI Serv, 2nd Floor Bainbridge House,86-90 London Rd, Manchester M1 2PW, Lancs, England

[2] Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

来源：

ENERGIES | 2017年 / 10卷 / 08期

关键词：

voltage control; renewable energy integration; deterministic and metaheuristic optimization algorithms; DISTRIBUTION-SYSTEMS; POWER-SYSTEMS; MICROGRID DISTRIBUTION; GENERATION; MANAGEMENT; ALGORITHM; OPTIMIZATION;

D O I：

10.3390/en10081138

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：17