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

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jun 2019 Finland Publisher:IEEEJournal:2019 IEEE Milan PowerTech

Authors: Kia, Mohsen; Etemad, Reza; Heidari, Alireza; Lotfi, Mohamed; Catalão, João P. S.; Shafie-khah, Miadreza; Osório; +1 Authors

doi: 10.1109/ptc.2019.8810671

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

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Abstract

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.

Country

Finland

Related Organizations

Islamic Azad University of Falavarjan
Iran (Islamic Republic of)
University of Vaasa
Finland
University of Vaasa
Finland
UNSW Sydney
Australia
Islamic Azad University Central Tehran Branch
Iran (Islamic Republic of)

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Keywords

mar emergency demand response program, ta213, demand response, fi=Sähkötekniikka|en=Electrical Engineering|, Security-constrained unit commitment

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