Mathematical Assessment of the Reliability in a Complex Deregulated Power System

Ensuring the provision of high-quality and dependable power supply to customers stands as a paramount responsibility within realm systems. The concept restructuring system emerges an efficient approach deliver economically viable uninterrupted supply. assessment reliability hinges on various factors, with index serving pivotal metric, dependent both security adequacy. To enhance index, strategically locating FACTS devices becomes essential, task facilitated through flow analysis specified constraints, pinpointing weakest points Genetic Algorithm-driven fast-acting device placement. correlation between DG establishment was meticulously calculated, further bolstered by introduction Derated Forced Outage Rate for enhanced performance assessment. In pursuit heightened reliability, sequential simulations prove invaluable, particularly in minimizing Expected Energy Not Supplied (EENS) improving overall reliability. results obtained underscore effectiveness this bulk electrical installation multiple system's areas EENS computation, coupled related indices such frequency duration. This not only enhances but also promotes economic operation transmission distribution.The simulation substantiate alignment objectives deregulated systems required standards, advocating networks. assessments, driven optimal placement DGs devices, reveal substantial improvements underscoring role these technologies enhancing dependability.