Electricity Time‐of‐Use Tariff with Stochastic Demand. Issue 1 (16th September 2016)

• Record Type: Journal Article
• Authors: Dong, Ciwei; Ng, Chi To; Cheng, T. C. E.
• Is Part Of: Production and operations management. Volume 26:Issue 1(2017)
• Page Start: 64
• Page End: 79
• Publication Date: 2016-09-16
• Subjects: capacity -- pricing -- stochastic demand -- time‐of‐Use Tariff; Production management -- Periodicals; 658.505
• DOI: 10.1111/poms.12610
• Languages: English
• ISSNs: 1059-1478

Abstract

Abstract : In this article, we study the electricity time‐of‐use (TOU) tariff for an electricity company with stochastic demand. The electricity company offers the flat rate (FR) and TOU tariffs to customers. Under the FR tariff, the customer pays a flat price for electricity consumption in both the peak and non‐peak periods. Under the TOU tariff, the customer pays a high price for electricity consumption in the peak period and a low price for electricity consumption in the non‐peak period. The electricity company uses two technologies, namely the base‐load and peak‐load technologies, to generate electricity. We derive the optimal capacity investment and pricing decisions for the electricity company. Furthermore, we use real data from a case study to validate the results and derive insights for implementing the TOU tariff. We show that in almost all the cases, the electricity company needs less capacity for both technologies under the TOU tariff than under the FR tariff, even though the expected demand in the non‐peak period increases. In addition, except for some extreme cases, there is essentially no signicant reduction in the total demand of the two periods, although the TOU tariff can reduce the demand in the peak period. Under the price‐cap regulation, the customer may pay a lower price on average under the TOU tariff than under the FR tariff. We conduct an extensive numerical study to assess the impacts of the model parameters on the optimal solutions and the robustness of the analytical results, and generate managerial implications of the research findings.