Frequency response study in microgrid system with distributed generation having reduced inertia

Gomez, Jishu Mary; Shanmugam, Prabhakar Karthikeyan

doi:10.1109/wiecon-ece52138.2020.9397996

Cited by 3 publications

(1 citation statement)

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“…In this regard, the various frequency control capabilities in RESs were studied [15]. Furthermore, a study of the frequency response of a standard test system with changes in system load and renewable energy penetration proved that frequency control is a necessity in RESs to induce inertia response during generation-load imbalance scenarios [16]. The reduction in inertia response with an increase in renewable energy penetration is inevitable, owing to the fact that the power electronic connection of the RES to the grid is inevitable.…”

Section: Contributionmentioning

confidence: 99%

Flexible Power Point Tracking Using a Neural Network for Power Reserve Control in a Grid-Connected PV System

Gomez

Shanmugam

2022

Energies

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Renewable energy penetration in the global energy sector is in a state of steady growth. A major criterion imposed by the regulatory boards in the wake of electronic-driven power systems is frequency regulation capability. As more rooftop PV systems are under installation, the inertia response of the power utility system is descending. The PV systems are not equipped inherently with inertial or governor control for unseen frequency deviation scenarios. In the proposed method, inertial and droop frequency control is implemented by creating the necessary power reserve by the derated operation of the PV system. While, traditionally, PV systems operate in normal MPPT mode, a derated PV system follows a flexible power point tracking (FPPT) algorithm for creating virtual energy storage. The point of operation for the FPPT of the PV is determined by using a neural network block set available in MATLAB. For the verification of the controller, it is applied to a PV array in a modified IEEE-13 bus system modeled in the MATLAB/Simulink platform. The simulation results prove that when the proposed control is applied to the test network with renewable energy penetration, there is an improved system inertia response.

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Section: Contributionmentioning

confidence: 99%