Two-Stage Stochastic Mixed Integer Programming Approach for Optimal SCUC by Economic DR Model

Kia, Mohsen; Etemad, Reza; Heidari, Alireza; Lotfi, Mohamed; Catalão, João P. S.; Shafie-khah, Miadreza; Osório, Gerardo J. (2019-08-26)
 
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https://doi.org/10.1109/ptc.2019.8810671

Kia, Mohsen
Etemad, Reza
Heidari, Alireza
Lotfi, Mohamed
Catalão, João P. S.
Shafie-khah, Miadreza
Osório, Gerardo J.
IEEE
26.08.2019
doi:10.1109/ptc.2019.8810671
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http://urn.fi/URN:NBN:fi-fe202102195425

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Due to influences by power system restructuring, fuel price uncertainties, future demand forecasting, and utilities and transmission lines availability, demand response (DR) programs for consumers have gained more attention. One important DR scheme is the emergency demand response program (EDRP). This paper focuses on simultaneous implementation of security-constraint unit commitment (SCUC) and EDRP by using an economic model. Moreover, a stochastic optimization method is employed for realistic modelling. Since the combined implementation of SCUC and EDRP results in a complex nonlinear optimization problem, a linearization method to ensure computational efficiency is used. The proposed model is formulated as two-stage Stochastic Mixed-Integer Programming (SMIP) model implemented using GAMS. The implemented model is tested on three case studies using the IEEE 24-bus system. Results are analyzed with a focus on the impact of demand elasticity and electricity prices.
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