In the dynamic world of power systems, maintaining a delicate balance between supply and demand is a constant challenge, especially with the integration of renewable energy sources. Geetanjali Dei, a researcher from the School of Electrical Engineering at Kalinga Institute of Industrial Technology, has introduced a groundbreaking solution to this complex problem. Her novel controller, a parallel combination of the tilted integral derivative controller (TID) and the integral derivative with a first-order filter effect (IDN), optimized using an advanced Coatis Optimization Algorithm (COA), promises to revolutionize load frequency control in multi-area hybrid power systems.
Dei’s research, published in ‘Scientific Reports’, focuses on a three-area system, each with diverse power generation sources. This includes thermal, hydro, solar thermal, distributed solar technology (DST), and geothermal units. The controller’s performance is particularly notable when subjected to various power transactions and system parameter variations, demonstrating its robustness and efficiency. According to Dei, “The Coatis Optimization Algorithm’s high effective efficiency and absence of control parameters make it an ideal choice for optimizing the TID + IDN controller’s parameters.”
The controller’s superiority is evident in its ability to handle dynamic responses effectively. For instance, during a poolco transaction, the settling times for frequency deviations in the three areas are significantly lower compared to other controllers. This translates to faster response times and improved system stability, a critical factor in the energy sector where even slight disruptions can have significant commercial impacts.
The integration of energy storage units, such as Redox Flow Batteries (RFB), further enhances the system’s performance. These batteries can store excess energy generated during peak production times and release it during high demand periods, ensuring a continuous and stable power supply. This is particularly beneficial for renewable energy sources, which are often intermittent.
The implications of this research extend beyond immediate applications. As the energy sector continues to evolve, with a growing emphasis on renewable sources and deregulated markets, the need for robust and intelligent controllers becomes increasingly important. Dei’s innovative approach could pave the way for future developments in load frequency control, ensuring more stable and efficient power systems.
The research highlights the potential for significant commercial impacts. By improving the stability and efficiency of power systems, the TID + IDN controller could lead to reduced operational costs, increased reliability, and better integration of renewable energy sources. This is not just about technological advancement; it’s about shaping a more sustainable and resilient energy future.
As the energy sector navigates the complexities of integrating diverse power sources and adapting to deregulated markets, Dei’s work offers a promising solution. Her research, published in ‘Scientific Reports’ (Scientific Reports is a peer-reviewed open access scientific journal published by Nature Portfolio), provides a blueprint for future developments in load frequency control, setting a new standard for efficiency and robustness in power system management.
