A peak-load-reduction-based procedure to manage distribution network expansion by applying process-oriented costing of incoming components

• Published in: Energy (Oxford) Vol. 186; p. 115852
• Main Authors: Honarmand, Mohammad Esmaeil, Hosseinnezhad, Vahid, Ghazizadeh, Mohammad Sadegh, Wang, Fei, Siano, Pierluigi
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.11.2019; Elsevier BV
• Subjects: Cost analysis; Costs; Decision analysis; Distribution management; Distribution system; Electricity consumption; Expansion; Load distribution; Monte Carlo simulation; Peak load; Peak load reduction; Process-based paradigm; Reduction; Peak load reduction; Process-based paradigm; Distribution system; Expansion; Monte Carlo simulation
• ISSN: 0360-5442; 1873-6785
• DOI: 10.1016/j.energy.2019.115852

Peak load reduction (PLR) is one of the applied strategies in demand response (DR) program to manage the costs of an electric distribution utility. Besides, this strategy can affect the costs of incoming new components (INC) from the utility viewpoint in the expansion phase, which consists of the processes of design, purchase, installation, and operation. Accordingly, considering these processes, this paper addresses a process-cost-oriented model seeing the PLR program to decide about the optimal investment value of network expansion. In the new paradigm, the costs of each process are identified, and the effect of PLR on these costs is analyzed. Moreover, to make optimal decisions, variations of the overall process costs and PLR program cost are investigated. A real case study is also provided to evaluate the capability of PLR using the proposed model. The results reveal that the overall cost is reduced by about 18%, due to the 5.7% reduction in the peak load. •The process-cost-oriented modeling is presented to assess the impact of peak load reduction.•The Monte Carlo simulation is applied to estimate the investment costs.•A cost-based algorithm is introduced to select optimal point of peak load reduction.