PhD Thesis Defense: Aramazd Muzhikyan

Monday, September 17, 2018, 10:00am

Rm. 201, MacLean ESC (Rett's Room)

“Power Syst Enterprise Control Framework for the Numerical & Analytical Determination of Oper Reserve Requirements in the Presence of Variable Energy & Energy Storage Resources"


Renewable energy sources possess a variable and uncertain nature that significantly complicates power grid balancing operations. Existing studies agree that the integration of renewable energy requires additional generation reserves; although they often disagree on their exact quantity. Many integration studies determine the quantities of reserves a posteriori, based upon the historical experience of power system operation. The standard deviation of potential imbalances is determined from the net load variability or its forecast error. Then, the reserve requirements are defined to cover the appropriate confidence interval in compliance with the balancing standards. This assessment approach is based upon several simplifying assumptions in the modeling of power system imbalances, such as the shape of their probability distribution and the standard deviation, that do not necessarily reflect the power system operations knowledge.

To address the methodological limitations of the existing integration studies, a holistic framework for the determination of power system operating reserve requirements in the presence of variable energy resources (VER) is developed. The power system is modeled as an enterprise control consisting of three control layers on top of the physical power grid. The top resource scheduling layer is implemented as a security-constrained unit commitment (SCUC). The middle balancing actions layer consists of security-constrained economic dispatch (SCED) and manual operator actions. The regulation layer is implemented as an automatic generation control (AGC). Such integration of control layers allows for a holistic assessment of VER integration impacts on power system imbalances and resource requirements. The enterprise control model was successfully applied to the ISO New England system to study various scenarios of power grid development for years 2025/2030, including VER integration, retirement of traditional generation units as well as assessment of operating reserves to accommodate such changes.

In addition to the numerical enterprise control model, an analytical framework has been developed for a priori calculations of three types of operating reserve requirements, namely load following, ramping and regulation. The reserve requirements are represented as closed form analytical functions of power system and net load parameters, such as penetration level, capacity factor, variability, forecast errors, day-ahead scheduling and real-time balancing time steps.

Thesis Committee

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