TY - GEN
T1 - Distributed Approach for Optimizing Multiple Distributed Generators in a Distribution Network
AU - Zhang, Wei
AU - Liu, Zhaolin
AU - Luo, Yusheng
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/21
Y1 - 2018/12/21
N2 - The ever-increasing demand for more reliable and flexible energy supply for customers has pushed up the distributed generation technology to the center stage in the development of distribution networks. If managed and coordinated efficiently, the distributed generators (DGs) can provide distinct benefits to the suppliers as well as energy consumers. In this paper, a distributed optimization method is proposed to coordinate the multiple DGs in the distribution network (DN) as well as to achieve the optimal operation among them. To optimize the power generation DGs in the DN is actually equivalent to solve the AC optimal power flow (OPF) problem. By defining new variables, the OPF problem is first transformed to a convex second-order cone program (SOCP) problem. By applying alternating direction method of multipliers (ADMM), the SOCP problem is decomposed to the bus level, and it is then solved in a distributed manner. The proposed control enables the autonomous operation of DGs in the distribution network while still achieves the optimality. Simulation studies further demonstrate the effectiveness of the proposed approach.
AB - The ever-increasing demand for more reliable and flexible energy supply for customers has pushed up the distributed generation technology to the center stage in the development of distribution networks. If managed and coordinated efficiently, the distributed generators (DGs) can provide distinct benefits to the suppliers as well as energy consumers. In this paper, a distributed optimization method is proposed to coordinate the multiple DGs in the distribution network (DN) as well as to achieve the optimal operation among them. To optimize the power generation DGs in the DN is actually equivalent to solve the AC optimal power flow (OPF) problem. By defining new variables, the OPF problem is first transformed to a convex second-order cone program (SOCP) problem. By applying alternating direction method of multipliers (ADMM), the SOCP problem is decomposed to the bus level, and it is then solved in a distributed manner. The proposed control enables the autonomous operation of DGs in the distribution network while still achieves the optimality. Simulation studies further demonstrate the effectiveness of the proposed approach.
KW - Alternating direction method of multipliers
KW - Distributed generators
KW - Distributed optimization
KW - Distribution network
UR - https://www.scopus.com/pages/publications/85060801027
U2 - 10.1109/PESGM.2018.8586201
DO - 10.1109/PESGM.2018.8586201
M3 - Conference contribution
AN - SCOPUS:85060801027
T3 - IEEE Power and Energy Society General Meeting
BT - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
PB - IEEE Computer Society
T2 - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Y2 - 5 August 2018 through 10 August 2018
ER -