Optimization of Detector Deployment in Electrochemical Energy Storage Systems Considering Reliability and Response Effectiveness

This study proposes an optimization model designed to effectively deploy detectors within electrochemical energy storage systems, aiming to minimize costs and maximize system monitoring efficacy and responsiveness. By considering factors such as installation costs, operational maintenance, failure probabilities, detection efficiency, and success rates of response, the model formulates optimal detector deployment strategies based on the fault probabilities of battery units and varying operational scenarios. Additionally, this paper introduces scenario weights to ensure that the model provides stable and reliable monitoring solutions under diverse operational conditions. The solution of the model is achieved through linear programming techniques, effectively balancing cost and performance to ensure optimal safety and efficiency within budget constraints.