TY - GEN
T1 - Optimal Placement and Sizing Distributed Generation (DG) Considering Energy Storage Using ABC-QP Algorithm
AU - Fajariyanti, Luthfia
AU - Wibowo, Rony Seto
AU - Penangsang, Ontoseno
AU - Putra, Dimas Fajar Uman
AU - Aryani, Ni Ketut
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - The optimal location and capacity of distributed generation (DG) is essential for electric power systems especially to satisfy the load demand. This paper proposed the hybrid optimization method to obtain optimal location and capacity of DG considering energy storage in dynamic systems. Artificial bee colony (ABC) algorithm and quadratic programming (QP) is applied. The objective functions of the proposed method minimize the cost of distribution line losses and load shedding. ABC algorithm is used to find the optimal location and capacity of DG. Then, objective functions are calculated using QP with dynamic condition of the load profile for 24 hours. Load shedding is generated based on power generation which can't satisfy the load demand. The proposed method has been implemented in a modified IEEE 30 bus.
AB - The optimal location and capacity of distributed generation (DG) is essential for electric power systems especially to satisfy the load demand. This paper proposed the hybrid optimization method to obtain optimal location and capacity of DG considering energy storage in dynamic systems. Artificial bee colony (ABC) algorithm and quadratic programming (QP) is applied. The objective functions of the proposed method minimize the cost of distribution line losses and load shedding. ABC algorithm is used to find the optimal location and capacity of DG. Then, objective functions are calculated using QP with dynamic condition of the load profile for 24 hours. Load shedding is generated based on power generation which can't satisfy the load demand. The proposed method has been implemented in a modified IEEE 30 bus.
KW - ABC algorithm
KW - DC line losses
KW - load shedding
KW - quadratic programming
UR - http://www.scopus.com/inward/record.url?scp=85078455416&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2019.8937204
DO - 10.1109/ISITIA.2019.8937204
M3 - Conference contribution
AN - SCOPUS:85078455416
T3 - Proceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
SP - 126
EP - 131
BT - Proceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
Y2 - 28 August 2019 through 29 August 2019
ER -