Optimizing Cost-Efficient Energy Management in Commercial Buildings with Solar PV Under Off-Peak Tariff Rider (OPTR) with Enhanced Time of Use (ETOU) Tariff Using EPSO Algorithm

• Published in: Lecture Notes in Electrical Engineering
• Main Author: Mahmud N.A.; Dahlan N.Y.; Asman S.H.; Adnan W.N.W.M.; Tumian A.; Onn M.S.
• Format: Conference paper
• Language: English
• Published: Springer Science and Business Media Deutschland GmbH 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197215096&doi=10.1007%2f978-981-97-1674-6_28&partnerID=40&md5=3cab6e57346b81835413401f6018f896

Amidst the nation's ongoing economic expansion, energy consumption has surged, particularly during peak hours, exerting strain on the national power grid. Managing this peak-hour load efficiently is crucial as it affects energy supply reliability, economic stability, and environmental concerns. To address these challenges, the Demand Side Management (DSM) technique has been introduced to reshape demand profiles through strategic measures. This study focuses on optimizing energy consumption within the commercial sector and reducing electricity costs. Two Universiti Teknologi MARA (UiTM) campuses equipped with solar photovoltaic rooftop installations are chosen as case studies. An enhanced Evolutionary-Particle Swarm Optimization (EPSO) algorithm is employed for optimization, considering the Off-Peak Tariff Rider (OPTR) and the newly introduced Enhanced Time of Use (ETOU) tariff structures. The consistent findings reveal that when combined with a 40% load shift weighting factor, the ETOU tariff outperforms the C1-OPTR tariff, resulting in significant cost savings of 10.050% and 9.129% on weekdays and 5.260% and 0% on weekends for UiTM Jengka, Pahang, and UiTM Segamat, Johor, respectively. In summary, the ETOU tariff's superior cost management and potential for substantial savings make it the preferred choice for optimizing energy expenses in commercial buildings with solar PV installations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.