Optimal Day-Ahead Energy Scheduling of the Smart Distribution Electrical Grid Considering Hybrid Demand Management

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Oriza Candra, Rahul Pradhan, Abdieva Nargiza Shukhratovna, Bahira Abdulrazzaq Mohammed, Abdulnaser Khalid Hamzah, Laith H. Alzubaidi, Sarah Jawad Shoja

2024 Smart Grids and Sustainable Energy Vol. 9 Issue 2 Article Cited by 15 Quartile

Abstract

The study presents a two-level multi-objective approach for energy scheduling in a smart distribution electrical grid. The proposed energy optimization strategy combines hybrid demand management at the upper level and multi-objective functions at the lower level. The multi-objective function in lower level is designed to minimize operational costs and enhance reliability. The upper-level demand management is optimized by taking into account price signals from the upstream grid. The hybrid demand management such as load shifting and load interruption are proposed as effective approaches for consumers. The energy scheduling in both levels by improved sunflower optimization (ISFO) algorithm is solved, and fuzzy approach based on linear programming technique for multidimensional analysis of preference (LINMAP) method is proposed for finding desired solution of the multi-objective function in lower-level. The effectiveness of the electrical grid is examined on the 69-bus distribution network through the utilization of day-ahead scheduling and incorporating findings from mathematical modeling. The results of the proposed problem with demand-side optimization lead to decreasing operation cost by 2.43% and enhancing reliability index by 0.6% compared to lack of demand-side optimization. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

Affiliations

Department Teknik Elektro, Universitas Negeri Padang, Padang, Indonesia; Computer Engineering & amp; Applications, GLA University, Mathura, India; The Department of Audit, Tashkent State University of Economics, Tashkent, Uzbekistan; Department of Technical Engineering, Al-Hadi University College, Baghdad, 10011, Iraq; Department of Energy Technology, AL-Nisour University College, Baghdad, Iraq; College of Technical Engineering, the Islamic University of Babylon, Babylon, Iraq; College of Technical Engineering, the Islamic University, Najaf, Iraq; College of Technical Engineering, the Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq; College of Technology, Al-Ayen University, Nasiriyah, Iraq