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Sadeghi, Zeinolabedin, Jalaee, Sayyed Abdolmajid, Sheykhzahedi, Zahra, Bazrafshan, Mohammad Reza. (1402). An OOHB-DC Survey for Estimating Willingness to Pay of Residual Consumers to Avoid Power Outage by Using PSO. , (), -. doi: 10.22059/ier.2023.93726
Zeinolabedin Sadeghi; Sayyed Abdolmajid Jalaee; Zahra Sheykhzahedi; Mohammad Reza Bazrafshan. "An OOHB-DC Survey for Estimating Willingness to Pay of Residual Consumers to Avoid Power Outage by Using PSO". , , , 1402, -. doi: 10.22059/ier.2023.93726
Sadeghi, Zeinolabedin, Jalaee, Sayyed Abdolmajid, Sheykhzahedi, Zahra, Bazrafshan, Mohammad Reza. (1402). 'An OOHB-DC Survey for Estimating Willingness to Pay of Residual Consumers to Avoid Power Outage by Using PSO', , (), pp. -. doi: 10.22059/ier.2023.93726
Sadeghi, Zeinolabedin, Jalaee, Sayyed Abdolmajid, Sheykhzahedi, Zahra, Bazrafshan, Mohammad Reza. An OOHB-DC Survey for Estimating Willingness to Pay of Residual Consumers to Avoid Power Outage by Using PSO. , 1402; (): -. doi: 10.22059/ier.2023.93726

An OOHB-DC Survey for Estimating Willingness to Pay of Residual Consumers to Avoid Power Outage by Using PSO

Iranian Economic Review
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 12 شهریور 1402
شناسه دیجیتال (DOI): 10.22059/ier.2023.93726
نویسندگان
Zeinolabedin Sadeghi1؛ Sayyed Abdolmajid Jalaee1؛ Zahra Sheykhzahedi1؛ Mohammad Reza Bazrafshan2
1Faculty of Management and Economics, Shahid Bahonar University of Kerman, Kerman, Iran
2Faculty of Management and Economics, Iran University of Science &Technology, Tehran, Iran
چکیده
Nowadays, due to lack of energy generation in power systems, load shedding in residual sector is inevitable. This report aims to analyze the willingness to pay (WTP) of residual consumers in city of Kerman, in Iran to prevent power outages. For this purpose, 800 households were surveyed, applying a one-and-one-half-bound dichotomous choice (OOHB-DC) survey, combined with a spike model to deal with zero WTP responses, during May 2021. In designed questionnaire, respondents were clearly informed about the subject and gave meaningful answers. In addition, particle swarm optimization (PSO) algorithm has been implemented for parameter estimation of model. The results show that the average monthly WTP of households of Kerman is 92886 Rials (USD 0.37) and the annual value is 972 billion Rials (USD 0.66 million). Calculated parameters and mean WTP were statistically significant. The results indicate a substantial amount of investments should be made by power suppliers to prevent power outages in the residential sector.
کلیدواژه‌ها
OOHB-DC Survey؛ Particle Swarm Optimization؛ Residual Consumers؛ Willingness to Pay
آمار
تعداد مشاهده مقاله: 43


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