Title :
Variable energy resource induced power system imbalances: A generalized assessment approach
Author :
Muzhikyan, Aramazd ; Farid, Amro M. ; Youcef-Toumi, Kamal
Author_Institution :
Masdar Inst. of Sci. & Technol., Abu Dhabi, United Arab Emirates
Abstract :
The impact of variable energy resources (VER) on power system operations and planning has been a subject of extensive research in recent years. However, most of the results are based on specific case studies and do not allow generalization. This paper proposes a generalized approach to the assessment of power system imbalances. Penetration level, day-ahead and short-term forecast errors, and variability are identified as four main parameters of VER integration. The dependence of power system imbalances on VER integration parameters is studied, using steady-state simulations. The simulations use a power system enterprise model that consists of three layers: resource scheduling, balancing operations and the physical grid with integrated VER. Resource scheduling is modeled as a security-constrained unit-commitment (SCUC) problem. The balancing layer consists of three components: regulation service, real-time market and operator manual actions. The real-time market is implemented as a security-constrained economic dispatch (SCED) problem. The IEEE RTS96 test system with integrated wind generation is used as the physical grid in the case study.
Keywords :
load forecasting; power generation scheduling; power system planning; renewable energy sources; IEEE RTS96 test system; SCED problem; SCUC problem; VER integration parameters; balancing operations; day-ahead forecast errors; integrated wind generation; operator manual actions; penetration level; power system enterprise model; power system imbalances; power system operations; power system planning; real-time market; regulation service; resource scheduling; security-constrained economic dispatch problem; security-constrained unit-commitment problem; short-term forecast errors; steady-state simulations; variable energy resources; Equations; Generators; Job shop scheduling; Load modeling; Mathematical model; Power systems; Real-time systems; Power system imbalances; wind integration;
Conference_Titel :
Technologies for Sustainability (SusTech), 2013 1st IEEE Conference on
Conference_Location :
Portland, OR
DOI :
10.1109/SusTech.2013.6617329