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Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Grids

Mingjian Tuo, Xingpeng Li

2022IEEE Transactions on Power Systems68 citationsDOI

Abstract

With increasing installation of wind and solar generation, conventional synchronous generators in power systems are gradually displaced resulting in a significant reduction in system inertia. Maintaining system frequency and rate-of-change-of-frequency (RoCoF) within acceptable ranges becomes more critical for the stability of a power system. This paper first discusses the impact of inter-area oscillations on the system rate-of-change-of-frequency (RoCoF) security; then, the limitations on locational RoCoF accounting for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathrm{G} - {1}$</tex-math></inline-formula> contingency stability are derived. To capture highest locational RoCoF during the oscillation, multiple measurement windows are introduced. By enforcing these frequency related constraints, a location based RoCoF constrained security constrained unit commitment (LRC-SCUC) model is proposed. Furthermore, an effective piecewise linearization (PWL) technique is employed to formulate a RoCoF linearization problem and linearize the nonlinear function representing the location based RoCoF constraints in SCUC. Case studies are carried on IEEE 24-bus system to demonstrate the effectiveness of proposed LRC-SCUC model. The results also show that deploying virtual inertia techniques not only reduces the total cost, but also improves the system market efficiency.

Topics & Concepts

Power system simulationElectric power systemStability (learning theory)LinearizationEconomic dispatchControl theory (sociology)InertiaPhasor measurement unitMathematical optimizationFunction (biology)Computer sciencePower (physics)PhasorMathematicsNonlinear systemControl (management)Evolutionary biologyPhysicsMachine learningClassical mechanicsQuantum mechanicsBiologyArtificial intelligencePower System Optimization and StabilityMicrogrid Control and OptimizationPower Systems and Renewable Energy