TY - JOUR
T1 - Review of distribution network phase unbalance
T2 - Scale, causes, consequences, solutions, and future research directions
AU - Ma, Kang
AU - Fang, Lurui
AU - Kong, Wangwei
N1 - Publisher Copyright:
© 2015 CSEE.
PY - 2020/9
Y1 - 2020/9
N2 - Phase unbalance is widespread in the distribution networks in the UK, continental Europe, US, China, and other countries and regions. This paper first reviews the mass scale of phase unbalance and its causes and consequences. Three challenges arise from phase rebalancing: the scalability, data scarcity, and adaptability (towards changing unbalance over time). Solutions to address the challenges are: 1) using retrofit table, maintenance-free, automatic solutions to overcome the scalability challenge; 2) using data analytics to overcome the data-scarcity challenge; and 3) using phase balancers or other online phase rebalancing solutions to overcome the adaptability challenge. This paper categorizes existing phase rebalancing solutions into three classes: 1) load/lateral re-phasing; 2) using phase balancers; 3) controlling energy storage, electric vehicles, distributed generation, and micro-grids for phase rebalancing. Their advantages and limitations are analyzed and ways to overcome their limitations are recommended. Finally, this paper suggests future research topics: 1) long-term forecast of phase unbalance; 2) the whole-system analysis of the unbalance-induced costs; 3) the phase unbalance diagnosis for data-scarce LV networks; 4) techno-commercial solutions to exploit the flexibility from large three-phase customers for phase balancing; 5) the optimal placement of phase balancers; 6) the transition from single-phase customers to three-phase customers.
AB - Phase unbalance is widespread in the distribution networks in the UK, continental Europe, US, China, and other countries and regions. This paper first reviews the mass scale of phase unbalance and its causes and consequences. Three challenges arise from phase rebalancing: the scalability, data scarcity, and adaptability (towards changing unbalance over time). Solutions to address the challenges are: 1) using retrofit table, maintenance-free, automatic solutions to overcome the scalability challenge; 2) using data analytics to overcome the data-scarcity challenge; and 3) using phase balancers or other online phase rebalancing solutions to overcome the adaptability challenge. This paper categorizes existing phase rebalancing solutions into three classes: 1) load/lateral re-phasing; 2) using phase balancers; 3) controlling energy storage, electric vehicles, distributed generation, and micro-grids for phase rebalancing. Their advantages and limitations are analyzed and ways to overcome their limitations are recommended. Finally, this paper suggests future research topics: 1) long-term forecast of phase unbalance; 2) the whole-system analysis of the unbalance-induced costs; 3) the phase unbalance diagnosis for data-scarce LV networks; 4) techno-commercial solutions to exploit the flexibility from large three-phase customers for phase balancing; 5) the optimal placement of phase balancers; 6) the transition from single-phase customers to three-phase customers.
KW - Low voltage
KW - phase balancing
KW - phase unbalance
KW - power distribution
KW - three-phase system
UR - http://www.scopus.com/inward/record.url?scp=85091672543&partnerID=8YFLogxK
U2 - 10.17775/CSEEJPES.2019.03280
DO - 10.17775/CSEEJPES.2019.03280
M3 - Article
AN - SCOPUS:85091672543
SN - 2096-0042
VL - 6
SP - 479
EP - 488
JO - CSEE Journal of Power and Energy Systems
JF - CSEE Journal of Power and Energy Systems
IS - 3
M1 - 9098161
ER -