Multi-area dynamic economic dispatch considering the demand response and price uncertainty

Yeganeh Sharifian and Hamdi Abdi

Energy, 2025, vol. 322, issue C

Abstract: The multi-area dynamic economic dispatch problem determines the optimal scheduling of the output power of committed units and the power exchanged between areas over the entire period to minimize the fuel cost. Optimizing the energy consumption pattern and demand-side management leads to optimal operation of power systems and reduced fuel costs. These two issues are integrated in this paper. In price-based demand side management programs, determining optimal price and price uncertainty are the fundamental challenges, which is examined in this research. First, a deterministic model of the problem in the presence of a time of use program, is introduced. This model, while determining the optimal price in both linear and nonlinear time of use programs, reduces the total cost by 3.03 % and 3.56 %, respectively. Furthermore, load curve characteristics such as peak to valley, load factor, and peak compensation are improved. Then, by considering the price uncertainty, the probabilistic model of the problem is introduced and is studied by using the robust optimization method. The problem is solved using the crow search optimization algorithm in a 40-unit test system for a 24-h period, and the results show reduced fuel costs, and increased customer profits.

Keywords: Multi-area dynamic economic dispatch (MADED); Demand response (DR); Time of use (TOU); Price uncertainty; Crow search algorithm (CSA) (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:322:y:2025:i:c:s0360544225011740

DOI: 10.1016/j.energy.2025.135532

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