IFQP-EPS: Analyzing effects of queuing and storage issues on electric power systems under dual uncertainties

摘要: Abstract In this study, an interval fuzzy queue-storage (IFQS) method is developed through integrating interval-parameter programming, queue and storage theory into a general framework. IFQS not only capable of reflecting the effects on electric power systems (EPS), but also helpful for dealing with dual uncertainties expressed as sets values. Then, IFQS-EPS model formulated City Shijiazhuang (the capital Hebei province), where M/M/1 (exponential interarrival time, exponential service time one server) information different periods are measured. Results reveal that (i) coal mines in Yulin, Datong Jincheng would be major suppliers study city (providing over 77% coal); (ii) waiting adds 1 day, system cost increase around $200 million nitrogen dioxide (NOx) emission grow approximately 91 ton; (iii) NOx respectively decrease $370 × 106 90 × 103 ton when period varies from 10 day to 20 day; (iv) electricity generated by reduce 5% due limitation supply control air pollution. Compared interval-fuzzy (IFQ) approach, has advantages balancing purchase batch cost, such optimal can obtained. facilitate generate appropriate generation plans, queuing issues EPS under complicated uncertainties.