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Free

Intelligent Service Restoration in Smart Distribution Network presents a practical and forward-looking approach to modern power system resilience. As distribution networks grow in complexity and renewable integration accelerates, ensuring reliable service restoration after faults becomes critical. This book introduces advanced techniques such as the Multi-Objective Cuckoo Search Spring Algorithm (MOCSSA) and a hybrid CSSA-LSSVM model for optimising network reconfiguration and predicting restoration pathways. Through tested simulations on the IEEE 69-bus system, the book demonstrates how intelligent algorithms can reduce losses, improve voltage profiles, and accelerate recovery times. Designed for engineers, researchers, and smart grid professionals, it offers an accessible yet rigorous roadmap for deploying intelligent tools in real-world grid environments. Whether you're exploring next-generation restoration strategies or enhancing grid performance, this book delivers timely insights at the intersection of automation, Al, and power distribution.


Instructor Biography

Zuhaina Zakaria holds a Bachelor's degree in Electrical Engineering from Universiti Teknologi Malaysia (UTM), a Master's degree from Napier University, Edinburgh, and a PhD in Electrical Engineering from the University of Strathclyde, Glasgow. She has served at Universiti Teknologi MARA (UiTM), Malaysia, for over 30 years and is currently a Professor at the Faculty of Electrical Engineering.

Her research focuses on energy efficiency, power quality, load profiling, and power system analysis. Throughout her career, she has held several key administrative roles at both faculty and university levels, demonstrating strong leadership and management capabilities. Beyond academia, Professor Zuhaina actively contributes to professional engineering communities. She is a Senior Member of IEEE, a member of the Institution of Engineering and Technology (IET), and currently serves as a Council Member at The Institution of Engineers, Malaysia (IEM). Her work continues to impact both the academic and professional engineering landscapes.

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