TY - GEN
T1 - Optimal sizing of photovoltaic systems for loss minimization in distribution network
AU - Ikeda, Shunnosuke
AU - Takeda, Akiko
AU - Ohmori, Hiromitsu
N1 - Funding Information:
This work was supported by a JST CREST Grant (Number JPMJCR15K5). I would like to thank Mr. Kon-ishi for giving this theme.
PY - 2018/4/2
Y1 - 2018/4/2
N2 - The use of photovoltaics (PV) in electric power networks has increased because of advantages such as power loss reduction, environmental friendliness, voltage profile improvement, and postponement of system upgrades. However, using PVs of an inappropriate size leads to greater power losses due to variations in PV outputs and demand loads. Therefore, it is necessary to determine the optimal size of PVs. When one considers the various weather conditions and demand load profiles, the optimal PV sizing problem (OPSP) becomes a large-scale optimization that is difficult to solve. In this paper, to resolve this computational issue, we formulate the OPSP as a second-order cone programming model and propose a decomposition using the subgradient method for solving the partial Lagrangian dual problem. We implemented the proposed method on a 47-bus distribution feeder model, and the simulation results proved its viability.
AB - The use of photovoltaics (PV) in electric power networks has increased because of advantages such as power loss reduction, environmental friendliness, voltage profile improvement, and postponement of system upgrades. However, using PVs of an inappropriate size leads to greater power losses due to variations in PV outputs and demand loads. Therefore, it is necessary to determine the optimal size of PVs. When one considers the various weather conditions and demand load profiles, the optimal PV sizing problem (OPSP) becomes a large-scale optimization that is difficult to solve. In this paper, to resolve this computational issue, we formulate the OPSP as a second-order cone programming model and propose a decomposition using the subgradient method for solving the partial Lagrangian dual problem. We implemented the proposed method on a 47-bus distribution feeder model, and the simulation results proved its viability.
KW - Photovoltaics (PV)
KW - large-scale optimization
KW - partial Lagrangian relaxation (PLR)
KW - second-order cone programming (SOCP)
UR - http://www.scopus.com/inward/record.url?scp=85049300825&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049300825&partnerID=8YFLogxK
U2 - 10.23919/SICEISCS.2018.8330174
DO - 10.23919/SICEISCS.2018.8330174
M3 - Conference contribution
AN - SCOPUS:85049300825
T3 - SICE ISCS 2018 - 2018 SICE International Symposium on Control Systems
SP - 185
EP - 192
BT - SICE ISCS 2018 - 2018 SICE International Symposium on Control Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 SICE International Symposium on Control Systems, SICE ISCS 2018
Y2 - 9 March 2018 through 11 March 2018
ER -
