Ensuring the reliability of auxiliary services in electrical substations during power outages is critical for the stability and safety of power systems. Traditional backup solutions, such as diesel generators, often involve high operational costs and environmental concerns. This study presents a stochastic programming approach to optimally size hybrid backup systems that integrate renewable energy sources and battery storage to support substation auxiliary services during outages. The proposed model accounts for the uncertainties associated with renewable energy generation and load demand, aiming to minimize the total cost while ensuring reliability. A case study demonstrates the effectiveness of the approach, showing significant improvements in cost efficiency and sustainability compared to conventional backup systems.

Keywords: Substation auxiliary services, hybrid backup systems, stochastic programming, renewable energy integration, battery storage, reliability, cost optimization.

Would you like to learn more about optimizing hybrid backup systems for substation auxiliary services and how stochastic programming enhances their reliability and cost-effectiveness? This study was published in Electric Power Systems Research, a leading journal in power system engineering and optimization. You can read the full article at the following link: https://www.sciencedirect.com/science/article/abs/pii/S0378779624010770