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

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Mohsen Kia (Autor) Outra; Reza Etemad (Autor) Outra; Alireza Heidari (Autor) Outra; Mohamed Lotfi (Autor) Outra; João P. S. Catalão (Autor) FEUP; Miadreza Shafie-khah (Autor) Outra; Gerardo J. Osório (Autor) Outra

Ata de Conferência Internacional

Título: 2019 IEEE Milan PowerTech

Páginas: 1-6

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00Q-ZB4

DOI: 10.1109/ptc.2019.8810671

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6