TY - GEN
T1 - Energy Curtailment to Manage Power Output in Active Distribution Network
AU - Purwitosari, Latifatul A.
AU - Penangsang, Ontoseno
AU - Wibowo, Rony Seto
AU - Suryawati, Indri
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - There are many systems that offered to prepare and embedded in smart grid technology in the future, such as Power Flow Management (PFM) to control power flow with Distributed Generation (DGs) connection that considered. The network which connected DG is named an Active Distribution Network (AND). DGs connection in the distribution network is purposed to supply load demand, it contributes many impacts in a network as well. These issues might be really possible occurred. One of them is a thermal overload that must be tackled immediately, it leads overheat in the network while DGs output is allowed continuously. Furthermore, DG is not only from the thermal generator (non-renewable) but renewable energy as well. Another term that will be controlled in this research besides DG i.e. Demand Response (DR). DR which called Active Demand (AD) represents an important participant to manage power flow. It transforms the pattern of power on the energy market which affects the interaction among of Distribution Network Operator (DNO), suppliers, and consumers. The algorithm which used to support this system is OPF and CSP. An outcome of this research represents the method which solves this issue and espouses DNO and investors.
AB - There are many systems that offered to prepare and embedded in smart grid technology in the future, such as Power Flow Management (PFM) to control power flow with Distributed Generation (DGs) connection that considered. The network which connected DG is named an Active Distribution Network (AND). DGs connection in the distribution network is purposed to supply load demand, it contributes many impacts in a network as well. These issues might be really possible occurred. One of them is a thermal overload that must be tackled immediately, it leads overheat in the network while DGs output is allowed continuously. Furthermore, DG is not only from the thermal generator (non-renewable) but renewable energy as well. Another term that will be controlled in this research besides DG i.e. Demand Response (DR). DR which called Active Demand (AD) represents an important participant to manage power flow. It transforms the pattern of power on the energy market which affects the interaction among of Distribution Network Operator (DNO), suppliers, and consumers. The algorithm which used to support this system is OPF and CSP. An outcome of this research represents the method which solves this issue and espouses DNO and investors.
KW - Active Network Management (ANM)
KW - Demand Response (DR)
KW - Distributed Generation (DG)
KW - Power Flow Management (PFM)
UR - http://www.scopus.com/inward/record.url?scp=85066888829&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2018.8711183
DO - 10.1109/ISITIA.2018.8711183
M3 - Conference contribution
AN - SCOPUS:85066888829
T3 - Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
SP - 77
EP - 81
BT - Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
Y2 - 30 August 2018 through 31 August 2018
ER -