TY - JOUR
T1 - Distributed optimization approaches for emerging power systems operation
T2 - A review
AU - Wang, Yamin
AU - Wang, Shouxiang
AU - Wu, Lei
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - Independent system operators (ISO) and regional transmission organizations (RTO) adopt centralized optimization approaches for the optimal operation of power systems, which collect all required information and perform centralized operation decisions at the central controller. As the size of power systems expends and more flexible and distributed resources from the demand side are being involved in power systems, such a centralized framework raises computation and communication concerns. Distributed optimization, as an alternative approach to solve challenges of the centralized optimization mechanism, has attracted increasing attention recently. This paper reviews existing works on distributed optimization for power systems operation. We first discuss various distributed optimization algorithms that have been studied for power systems operation, followed by a detailed literature review on adopting such distributed algorithms for major power systems operation applications including distributed economic dispatch (ED), distributed AC-optimal power flow (OPF), distributed unit commitment (UC), and other distributed applications. The advantages and barriers of applying each distributed algorithm in practice are discussed. Since the applications of distributed algorithms in practical cases largely rely on the high performance computing (HPC) platform, the application of HPC techniques on power system operation problems is also reviewed. Future research needs for effectively and efficiently promoting the practical deployment of such distributed optimization approaches in emerging power systems are identified.
AB - Independent system operators (ISO) and regional transmission organizations (RTO) adopt centralized optimization approaches for the optimal operation of power systems, which collect all required information and perform centralized operation decisions at the central controller. As the size of power systems expends and more flexible and distributed resources from the demand side are being involved in power systems, such a centralized framework raises computation and communication concerns. Distributed optimization, as an alternative approach to solve challenges of the centralized optimization mechanism, has attracted increasing attention recently. This paper reviews existing works on distributed optimization for power systems operation. We first discuss various distributed optimization algorithms that have been studied for power systems operation, followed by a detailed literature review on adopting such distributed algorithms for major power systems operation applications including distributed economic dispatch (ED), distributed AC-optimal power flow (OPF), distributed unit commitment (UC), and other distributed applications. The advantages and barriers of applying each distributed algorithm in practice are discussed. Since the applications of distributed algorithms in practical cases largely rely on the high performance computing (HPC) platform, the application of HPC techniques on power system operation problems is also reviewed. Future research needs for effectively and efficiently promoting the practical deployment of such distributed optimization approaches in emerging power systems are identified.
KW - Distributed economic dispatch
KW - Distributed optimal power flow
KW - Distributed optimization
KW - Distributed unit commitment
UR - http://www.scopus.com/inward/record.url?scp=85002410814&partnerID=8YFLogxK
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U2 - 10.1016/j.epsr.2016.11.025
DO - 10.1016/j.epsr.2016.11.025
M3 - Review article
AN - SCOPUS:85002410814
SN - 0378-7796
VL - 144
SP - 127
EP - 135
JO - Electric Power Systems Research
JF - Electric Power Systems Research
ER -