Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Estimation of Rwanda's power system inertia as input for long-term dynamic frequency response regulation planning

Mudaheranwa, Emmanuel, Sonder, Hassan Berkem, Cipcigan, Liana ORCID: https://orcid.org/0000-0002-5015-3334 and Ugalde-Loo, Carlos E. ORCID: https://orcid.org/0000-0001-6361-4454 2022. Estimation of Rwanda's power system inertia as input for long-term dynamic frequency response regulation planning. Electric Power Systems Research 207 , 107853. 10.1016/j.epsr.2022.107853

[thumbnail of Est 1-s2.0-S0378779622000839-main.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (3MB) | Preview

Abstract

Changes in the quota between conventional generation and renewable energy sources constitute major challenges that the modern power systems have to encounter. Conventional power plants are replaced by renewable generation (e.g. wind turbines, photovoltaics) that contribute to the reduction of power system inertia. This may introduce frequency stability issues because frequency is affected by the amount of system inertia, along with the response of controllable frequency reserves and the amount of power imbalance. Therefore, the estimation and analysis of power system inertia and the frequency response assessment is essential to ensure power system stability and security. This paper proposes a novel method to estimates the inertia constant for three different periods in future, namely, 2025, 2035 and 2050 based on the produced future energy scenarios (FES) for Rwandan's power system. In addition, the paper evaluates the frequency response dynamics for each scenario. Results show that the highest progression in renewable energy resources penetration resulted to a larger reduction in the system inertia constant (from 7.2 in control area 1 to 3.83s in control area 3) and the largest frequency drop was observed during the high progression scenario in the year 2050 where the PV and imported power penetration was expected to reach more than 30% of the total installed capacity.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 0378-7796
Date of First Compliant Deposit: 2 March 2022
Date of Acceptance: 8 February 2022
Last Modified: 06 Jan 2024 02:17
URI: https://orca.cardiff.ac.uk/id/eprint/147725

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics