TY - JOUR
T1 - Evaluation of the power transaction considering the transmission use of system charges and system constraints
AU - Afandi, Arif Nur
AU - Wibawa, Aji Prasetya
AU - Padmantara, Syaad
AU - Fadlika, Irham
AU - Gumilar, Langlang
AU - Wahyono, Irawan Dwi
AU - Lestari, Dyah
AU - Handayani, Anik Nur
AU - Aripriharta,
AU - Miyauchi, Hajime
AU - Fujita, Goro
AU - Tutkun, Nedim
AU - Sulistyorini, Yunis
AU - El-Shimy, M.
N1 - Funding Information:
This work is partially supported by Directorate General for Research and Development, the Ministry of Research; Technology; and Higher Education, Indonesia, for the Overseas Research Collaboration Grant in 2018. The authors also thank to the Department of Electrical Engineering, Universitas Negeri Malang, Indonesia.
Funding Information:
Acknowledgment. This work is partially supported by Directorate General for Research and Development, the Ministry of Research; Technology; and Higher Education, Indonesia, for the Overseas Research Collaboration Grant in 2018. The authors also thank to the Department of Electrical Engineering, Universitas Negeri Malang, Indonesia.
Publisher Copyright:
© 2018 ICIC International.
PY - 2018
Y1 - 2018
N2 - In general, the optimal power transaction is expressed using a total operating cost for the joined generating units while the power delivery is dispatched using a power schedule commitment. These financial aspect and power participation are used to measure all technical processes during providing and selling energy to customers. Moreover, the power delivery to the energy user is also constrained by transmission capabilities associated with transmission charges at all operators. Recently, the power system deregulation leads to sectional charges of the system. In addition, the power system should be operated in the feasible lowest cost under economic and environmental penetrations. To cover both penetrations and technical constraints, artificial bee colony algorithm and artificial salmon tracking algorithm are used to find out the optimal power composition considering transmission charges, generating costs, and pollutant compensations. Results show that the total minimum cost depends on technical factor schemes. Various combined power portions also give numerical implications on the economic operation, power production, and power transaction. In particular, generated powers lead to the total cost and the total pollutant discharge for each generating unit. Power delivery on the system conducts to the delivery fee as the transmission use of system charges.
AB - In general, the optimal power transaction is expressed using a total operating cost for the joined generating units while the power delivery is dispatched using a power schedule commitment. These financial aspect and power participation are used to measure all technical processes during providing and selling energy to customers. Moreover, the power delivery to the energy user is also constrained by transmission capabilities associated with transmission charges at all operators. Recently, the power system deregulation leads to sectional charges of the system. In addition, the power system should be operated in the feasible lowest cost under economic and environmental penetrations. To cover both penetrations and technical constraints, artificial bee colony algorithm and artificial salmon tracking algorithm are used to find out the optimal power composition considering transmission charges, generating costs, and pollutant compensations. Results show that the total minimum cost depends on technical factor schemes. Various combined power portions also give numerical implications on the economic operation, power production, and power transaction. In particular, generated powers lead to the total cost and the total pollutant discharge for each generating unit. Power delivery on the system conducts to the delivery fee as the transmission use of system charges.
KW - Artificial Salmon tracking
KW - Artificial bee colony
KW - Economic dispatch
KW - Power transaction
KW - Transmission charge
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U2 - 10.24507/icicelb.09.10.1041
DO - 10.24507/icicelb.09.10.1041
M3 - Article
AN - SCOPUS:85052994719
SN - 2185-2766
VL - 9
SP - 1041
EP - 1050
JO - ICIC Express Letters, Part B: Applications
JF - ICIC Express Letters, Part B: Applications
IS - 10
ER -