A Priority-Aware Resilience Assessment Framework for PV–Battery Campus Microgrids: University of Mosul Case Study

Veena Madavanathara Narayanan; Maher Al-Greer; Omar Abdulwahid

doi:10.1109/ICMISI69868.2026.11584107

A Priority-Aware Resilience Assessment Framework for PV–Battery Campus Microgrids: University of Mosul Case Study

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents a priority-aware resilience assessment framework for photovoltaic (PV)–battery microgrids in grid-constrained campus environments. The campus load is classified into three tiers: critical (P1), essential (P2), and nonessential (P3). A rule-based supervisory control strategy is used for islanded operation, where loads are supplied based on priority and available energy. A composite resilience metric is defined to evaluate service adequacy, supply deficit, and service continuity while preserving load hierarchy. The system is sized using site specific solar data, resulting in a 120 kWp PV system and
160 kWh battery storage. The model is implemented in MATLAB/Simulink and evaluated over a 24-hour period under both grid-connected and islanded conditions. The results show that critical loads remain supplied during islanded operation, while P2 and P3 loads are connected or shed depending on available generation and battery state. The system maintains power balance and shows expected battery charging and discharging behaviour. The proposed framework provides a consistent method to assess
resilience in microgrids with load prioritisation.

Original language	English
Title of host publication	3rd IEEE International Conference on Machine Intelligence and Smart Innovation
Publisher	IEEE
Pages	432-437
Number of pages	6
ISBN (Electronic)	9798331546038
ISBN (Print)	9798331546045
DOIs	https://doi.org/10.1109/ICMISI69868.2026.11584107
Publication status	Published - 7 Jul 2026
Event	The 3rd IEEE International Conference on Machine Intelligence and Smart Innovation - AAST Main Campus, Alexandria, Egypt Duration: 9 May 2026 → 12 May 2026 https://aast.edu/en/conferences/ICMSI2026/contenttemp.php?page_id=101130037

Conference

Conference	The 3rd IEEE International Conference on Machine Intelligence and Smart Innovation
Abbreviated title	ICMISI 2026
Country/Territory	Egypt
City	Alexandria
Period	9/05/26 → 12/05/26
Internet address	https://aast.edu/en/conferences/ICMSI2026/contenttemp.php?page_id=101130037

Access to Document

10.1109/ICMISI69868.2026.11584107

Solar Energy for a Decarbonised Future - Knowledge Transfer for Environmental Education and Awareness
Al-Greer, M. (PI)
British Council
1/02/24 → 1/01/25
Project: Research

Cite this

@inproceedings{01fa4adb08d44d81b26c731b6c9c30da,

title = "A Priority-Aware Resilience Assessment Framework for PV{\textendash}Battery Campus Microgrids: University of Mosul Case Study",

abstract = "This paper presents a priority-aware resilience assessment framework for photovoltaic (PV){\textendash}battery microgrids in grid-constrained campus environments. The campus load is classified into three tiers: critical (P1), essential (P2), and nonessential (P3). A rule-based supervisory control strategy is used for islanded operation, where loads are supplied based on priority and available energy. A composite resilience metric is defined to evaluate service adequacy, supply deficit, and service continuity while preserving load hierarchy. The system is sized using site specific solar data, resulting in a 120 kWp PV system and 160 kWh battery storage. The model is implemented in MATLAB/Simulink and evaluated over a 24-hour period under both grid-connected and islanded conditions. The results show that critical loads remain supplied during islanded operation, while P2 and P3 loads are connected or shed depending on available generation and battery state. The system maintains power balance and shows expected battery charging and discharging behaviour. The proposed framework provides a consistent method to assess resilience in microgrids with load prioritisation. ",

author = "\{Madavanathara Narayanan\}, Veena and Maher Al-Greer and Omar Abdulwahid",

year = "2026",

month = jul,

day = "7",

doi = "10.1109/ICMISI69868.2026.11584107",

language = "English",

isbn = "9798331546045",

pages = "432--437",

booktitle = "3rd IEEE International Conference on Machine Intelligence and Smart Innovation",

publisher = "IEEE",

note = "The 3rd IEEE International Conference on Machine Intelligence and Smart Innovation , ICMISI 2026 ; Conference date: 09-05-2026 Through 12-05-2026",

url = "https://aast.edu/en/conferences/ICMSI2026/contenttemp.php?page\_id=101130037",

}

Madavanathara Narayanan, V , Al-Greer, M & Abdulwahid, O 2026, A Priority-Aware Resilience Assessment Framework for PV–Battery Campus Microgrids: University of Mosul Case Study. in 3rd IEEE International Conference on Machine Intelligence and Smart Innovation. IEEE, pp. 432-437, The 3rd IEEE International Conference on Machine Intelligence and Smart Innovation , Alexandria, Egypt, 9/05/26. https://doi.org/10.1109/ICMISI69868.2026.11584107

A Priority-Aware Resilience Assessment Framework for PV–Battery Campus Microgrids: University of Mosul Case Study. / Madavanathara Narayanan, Veena ; Al-Greer, Maher; Abdulwahid, Omar.
3rd IEEE International Conference on Machine Intelligence and Smart Innovation. IEEE, 2026. p. 432-437.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Priority-Aware Resilience Assessment Framework for PV–Battery Campus Microgrids

T2 - The 3rd IEEE International Conference on Machine Intelligence and Smart Innovation

AU - Madavanathara Narayanan, Veena

AU - Al-Greer, Maher

AU - Abdulwahid, Omar

PY - 2026/7/7

Y1 - 2026/7/7

N2 - This paper presents a priority-aware resilience assessment framework for photovoltaic (PV)–battery microgrids in grid-constrained campus environments. The campus load is classified into three tiers: critical (P1), essential (P2), and nonessential (P3). A rule-based supervisory control strategy is used for islanded operation, where loads are supplied based on priority and available energy. A composite resilience metric is defined to evaluate service adequacy, supply deficit, and service continuity while preserving load hierarchy. The system is sized using site specific solar data, resulting in a 120 kWp PV system and 160 kWh battery storage. The model is implemented in MATLAB/Simulink and evaluated over a 24-hour period under both grid-connected and islanded conditions. The results show that critical loads remain supplied during islanded operation, while P2 and P3 loads are connected or shed depending on available generation and battery state. The system maintains power balance and shows expected battery charging and discharging behaviour. The proposed framework provides a consistent method to assess resilience in microgrids with load prioritisation.

AB - This paper presents a priority-aware resilience assessment framework for photovoltaic (PV)–battery microgrids in grid-constrained campus environments. The campus load is classified into three tiers: critical (P1), essential (P2), and nonessential (P3). A rule-based supervisory control strategy is used for islanded operation, where loads are supplied based on priority and available energy. A composite resilience metric is defined to evaluate service adequacy, supply deficit, and service continuity while preserving load hierarchy. The system is sized using site specific solar data, resulting in a 120 kWp PV system and 160 kWh battery storage. The model is implemented in MATLAB/Simulink and evaluated over a 24-hour period under both grid-connected and islanded conditions. The results show that critical loads remain supplied during islanded operation, while P2 and P3 loads are connected or shed depending on available generation and battery state. The system maintains power balance and shows expected battery charging and discharging behaviour. The proposed framework provides a consistent method to assess resilience in microgrids with load prioritisation.

U2 - 10.1109/ICMISI69868.2026.11584107

DO - 10.1109/ICMISI69868.2026.11584107

M3 - Conference contribution

SN - 9798331546045

SP - 432

EP - 437

BT - 3rd IEEE International Conference on Machine Intelligence and Smart Innovation

PB - IEEE

Y2 - 9 May 2026 through 12 May 2026

ER -

A Priority-Aware Resilience Assessment Framework for PV–Battery Campus Microgrids: University of Mosul Case Study

Abstract

Conference

Access to Document

Fingerprint

Projects

Solar Energy for a Decarbonised Future - Knowledge Transfer for Environmental Education and Awareness

Cite this