TY - GEN
T1 - Standby Switching Stations Dynamic Prominence Ranking Based on Multi-Criteria Decision-Making using TOPSIS Technique
AU - Omer, Zahi M.
AU - Al Ameri, Ahmed M.
AU - Shareef, Hussain
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - To provide an effective and efficient response to diverse switching stations in emergencies, optimal coordination and resource allocation must be taken into account. Managing facility location, transportation, and ranking of those stations in a multi-driving distance, multi-load sensitivity, and multi-network architecture with uncontrolled uncertainty rendered judgments to be unthoughtful decisions. In this study, 30 switching stations in Al Ain city, UAE, that are connected to backup generators in addition to the main source and serve VIP locations, were put into a competition to be ranked based on their importance in a dynamic manner that can be updated monthly. Several criteria were used to make a determined decision to rank the stations based on factors such as the number of incomers, driving distance from the main office, load sensitivity, generation-to-diversified load percentage, and location accessibility. The technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used, and the results were analyzed using Multi-Criteria Decision-Making (MCDM). The resulting ranking can be used to make decisions about how to best allocate resources, especially when there is a shortage of manpower and end-user demand fluctuates. Several scenarios were studied in order to evaluate and assess the impact of dynamic changes that can occur in real situations. The cases involve adding or removing in-site operators, inducing interruptions, and linking stations to the monitoring room. Results showed the superior impact of operators shifting due to high given weight; however, distance impact was minimal in case of added interruptions or remote monitoring.
AB - To provide an effective and efficient response to diverse switching stations in emergencies, optimal coordination and resource allocation must be taken into account. Managing facility location, transportation, and ranking of those stations in a multi-driving distance, multi-load sensitivity, and multi-network architecture with uncontrolled uncertainty rendered judgments to be unthoughtful decisions. In this study, 30 switching stations in Al Ain city, UAE, that are connected to backup generators in addition to the main source and serve VIP locations, were put into a competition to be ranked based on their importance in a dynamic manner that can be updated monthly. Several criteria were used to make a determined decision to rank the stations based on factors such as the number of incomers, driving distance from the main office, load sensitivity, generation-to-diversified load percentage, and location accessibility. The technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used, and the results were analyzed using Multi-Criteria Decision-Making (MCDM). The resulting ranking can be used to make decisions about how to best allocate resources, especially when there is a shortage of manpower and end-user demand fluctuates. Several scenarios were studied in order to evaluate and assess the impact of dynamic changes that can occur in real situations. The cases involve adding or removing in-site operators, inducing interruptions, and linking stations to the monitoring room. Results showed the superior impact of operators shifting due to high given weight; however, distance impact was minimal in case of added interruptions or remote monitoring.
KW - backup generation
KW - fields power systems operations
KW - MCDM
KW - switching stations
KW - TOPSIS
UR - http://www.scopus.com/inward/record.url?scp=85128433932&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85128433932&partnerID=8YFLogxK
U2 - 10.1109/ASET53988.2022.9735095
DO - 10.1109/ASET53988.2022.9735095
M3 - Conference contribution
AN - SCOPUS:85128433932
T3 - 2022 Advances in Science and Engineering Technology International Conferences, ASET 2022
BT - 2022 Advances in Science and Engineering Technology International Conferences, ASET 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Advances in Science and Engineering Technology International Conferences, ASET 2022
Y2 - 21 February 2022 through 24 February 2022
ER -