Title :
An Enterprise Control Assessment Method for Variable Energy Resource-Induced Power System Imbalances—Part II: Methodology
Author :
Muzhikyan, Aramazd ; Farid, Amro M. ; Youcef-Toumi, Kamal
Author_Institution :
Dept. of Eng. Syst. & Manage., Masdar Inst. of Sci. & Technol., Abu Dhabi, United Arab Emirates
Abstract :
In recent years, an extensive academic and industrial literature has been developed to determine how much such variable energy resources (VERs) may be integrated and how to best mitigate their impacts. While certainly insightful within the context of their application, many integration studies have methodological limitations in that they are case specific, address a single control function of power grid balancing operations, and are often not validated by simulation. This paper presents a holistic method for the assessment of power grid imbalances induced by VERs based upon the concept of enterprise control. It consists within a single package a three-layer enterprise control simulator which includes most of the balancing operation functionality found in traditional power systems. The control layers include a resource scheduling layer composed of a security-constrained unit commitment, a balancing layer composed of a security-constrained economic dispatch, and a regulation layer. The proposed method is validated by a set of numerical simulations. The sequel to this paper submitted to the same issue provides a set of extensive results that demonstrate how power grid balancing operations systematically address VER integration.
Keywords :
numerical analysis; power generation dispatch; power generation scheduling; power grids; power system control; power system security; balancing layer; balancing operation functionality; enterprise control assessment; holistic method; numerical simulations; power grid balancing operations; power system imbalances; resource scheduling layer; security-constrained economic dispatch; security-constrained unit commitment; single control function; three-layer enterprise control; variable energy resource; Economics; Energy resources; Generators; Job shop scheduling; Power grids; Real-time systems; Enterprise control; Power system imbalances; enterprise control; power system imbalances; variable energy resources; variable energy resources (VERs);
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2015.2395391