Underpinning all these advanced applications is a robust, enterprise-level data infrastructure. WBPDCL, in collaboration with , has built a unified digital ecosystem with the AVEVA PI System as its core.
Display the MW generation of each TPP in real time. Future Outlook: Reliability and Growth
: The corporation posted its highest-ever operating profit of ₹1,000 crore in 2024–25, up from ₹812 crore the previous year. The "Long Story": How the Turnaround Happened wbpdcl real time generation best
WBPDCL's power plants have consistently achieved high PLFs, a key measure of operational efficiency. For instance, in 2024-25, Santaldih TPS achieved a PLF of 94.38% , while Bakreswar reached 93.3% . Gentrack's real-time data enables plant operators to continuously optimize performance, driving these impressive figures.
Achieving the best real-time generation figures involves a complex interplay of coal quality management, thermal efficiency, auxiliary power consumption, and instantaneous grid responsiveness. This article explores the methodologies, technologies, and operational protocols that define best-in-class real-time generation across WBPDCL’s flagship plants, including Sagardighi, Bakreshwar, Kolaghat, and Santaldih. Underpinning all these advanced applications is a robust,
Maintaining peak performance requires balancing generation with regulatory compliance. WBPDCL is deploying at key installations like Sagardighi and Santaldih . These systems remove sulfur dioxide emissions without reducing the overall efficiency of the generating units. Proactive Water Resource Management
Finding the data requires looking at the high-performing stations like Bakreswar and using official systems like PRAYOG. Through advanced technology, strict operational monitoring, and continuous improvement, WBPDCL maintains its status as a leader in power generation in India. Future Outlook: Reliability and Growth : The corporation
The platform allows for the early prediction of potential issues, such as a plant losing efficiency due to demand-side management. These can be identified and addressed from anywhere in the world with internet access, preventing the problem from escalating into a major outage.
The PI System is a real-time data infrastructure designed to collect, enrich, and store high-fidelity time-series operational data from disparate sources. It acts as a central data hub, aggregating information from 16 unit-level distributed control systems (DCS) and thousands of sensors across WBPDCL's fleet. This integration is critical: it allows data from Santaldih to be contextualized and analyzed alongside data from Sagardighi or Bakreswar, enabling cross-fleet performance optimization, benchmarking, and reliability improvement.