Multi‐Timescale Control of Smart Inverters for Optimal Operation of Low‐Inertia Grids

ABSTRACT This article proposes a novel frequency and voltage control scheme for low‐inertia electrical systems with high penetration of renewable energy sources (RES). A multi‐timescale coordinated control scheme was proposed to optimally control inverter‐based resources in different timescales. Accordingly, a two‐stage stochastic optimisation framework has been developed for optimal operation of battery energy storage system (BESS) and voltage source converters (VSC) in hour‐ahead and intra‐hourly timescales, to counteract the effects of uncertainties in solar photovoltaic (PV) and load. Additionally, a novel real‐time coordination framework was developed for fast frequency control, triggered by appliance switching/scheduling information through energy internet. Thus, real‐time control is implemented as a pre‐disturbance preventive action, appropriately acting with the load switching event. Furthermore, the proposed real‐time frequency control is developed as a coordination strategy for primary regulation by adaptive VSC control and recovery control by the grid. Extensive simulations were performed to verify suitability of the proposed optimisation and control strategy in mitigating the effects of unforeseen uncertainties and scheduled events on system stability. Effectiveness of the proposed control is further verified by experimental validation on laboratory‐scale hardware test setup.

Authors

Institutions

Publication Details

Journal
IET Energy Systems Integration
Published
2025-01-01
DOI
https://doi.org/10.1049/esi2.70012
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi‐Timescale Control of Smart Inverters for Optimal Operation of Low‐Inertia Grids

Innocent Kamwa, Ashu Verma, Sumedha Sharma, Himanshu Grover
IET Energy Systems Integration
Microgrid Control and Optimization
article

Multi‐Timescale Control of Smart Inverters for Optimal Operation of Low‐Inertia Grids

Innocent Kamwa, Ashu Verma, Sumedha Sharma, Himanshu Grover
article en

Abstract

ABSTRACT This article proposes a novel frequency and voltage control scheme for low‐inertia electrical systems with high penetration of renewable energy sources (RES). A multi‐timescale coordinated control scheme was proposed to optimally control inverter‐based resources in different timescales. Accordingly, a two‐stage stochastic optimisation framework has been developed for optimal operation of battery energy storage system (BESS) and voltage source converters (VSC) in hour‐ahead and intra‐hourly timescales, to counteract the effects of uncertainties in solar photovoltaic (PV) and load. Additionally, a novel real‐time coordination framework was developed for fast frequency control, triggered by appliance switching/scheduling information through energy internet. Thus, real‐time control is implemented as a pre‐disturbance preventive action, appropriately acting with the load switching event. Furthermore, the proposed real‐time frequency control is developed as a coordination strategy for primary regulation by adaptive VSC control and recovery control by the grid. Extensive simulations were performed to verify suitability of the proposed optimisation and control strategy in mitigating the effects of unforeseen uncertainties and scheduled events on system stability. Effectiveness of the proposed control is further verified by experimental validation on laboratory‐scale hardware test setup.

IET Energy Systems IntegrationVol. 7(1)
University of Calgary (CA), Université Laval (CA), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 72%
Microgrid Control and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.