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Date Published: 15/09/2026
Abstract Views: 35
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DOI: 10.51316/jst.192.ssad.2026.36.3.2
Issue
Vol. 36 No. 3 (2026): Journal of Science and Technology - Smart Systems and Devices 2026 (9/2026)
Section
Research article
How to Cite
Le Anh, Q., Trinh Xuan, T., Nguyen Tuan , A., Pham Thanh, V., Ta Xuan, H., Nguyen Duc, T., & Tran Thanh, S. (2026). Microgrid Optimization with Mixed-Integer Linear Programming-based Demand Side Management. Smart Systems and Devices, 36(3), 010-018. https://doi.org/10.51316/jst.192.ssad.2026.36.3.2

Microgrid Optimization with Mixed-Integer Linear Programming-based Demand Side Management

Quan Le Anh1, Thanh Trinh Xuan1, Anh Nguyen Tuan 1, Vinh Pham Thanh1, Hung Ta Xuan1, Tuyen Nguyen Duc1, Son Tran Thanh1,
1 School of Electrical and Electronics Engineering, Hanoi University of Science and Technology, Ha Noi, Vietnam

Main Article Content

Abstract

The integration of renewable energy sources in microgrids introduces significant operational challenges due to their intermittent nature and the mismatch between generation and demand patterns. Effective demand response (DR) strategies are crucial for maintaining system stability and economic efficiency, particularly in microgrids with high renewable penetration. This paper presents a comprehensive mixed-integer linear programming (MILP) framework for optimizing DR operations in a microgrid with solar generation and battery storage systems. The framework incorporates load classification, dynamic price thresholding, and multi-period coordination for optimal DR event scheduling. Analysis across seven distinct operational scenarios demonstrates peak load reduction of 5–10% while achieving energy cost savings ranging from 7.5% to 24.5%. The highest performance was observed in scenarios with high solar generation, where the framework achieved 24.49% energy cost reduction through optimal coordination of renewable resources and DR actions. The results validate the framework’s effectiveness in managing diverse operational challenges while maintaining system stability and economic efficiency.

Keywords

Demand Response, Mixed-Integer Linear Programming, Microgrid Optimization, Renewable energy

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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