AGC in the Multi-Area Thermal System with Integration of Distribution Generation on the Frequency of the System Using the Classical PID & Hybrid Neuro-Fuzzy Controllers

ABSTRACT

In the essential operation and control of the intelligent power plants, the primary goal is to balance both powers generated on the generation side with the power demand on the demand side. But, the structural variation of the power systems with a continuing escalation of customer demand is changing load demand continuously. Due to these problems, it is a continuous requirement to control and accommodate the escalation power need of the customer. The system’s frequency is affected by disturbance and mismatching between power generation and power demand. The novel design of a hybrid Neuro-fuzzy system is used in the Automatic Generation Control (AGC) model of two equal-areas power systems. Installing non-conventional energy sources allows power producers and consumers to prefer power transactions in an economic scenario. The Distribution Generation (DG) is incorporated into the proposed model. The first design, the two equal-area AGC, uses a classical PID Controller considering DG. Second, the two equal- areas AGC design is investigated by considering Adaptive Neuro-Fuzzy Interface (ANFIS) with integrated Distributed generation. The simulation results show that an ANFIS incorporated with a DG-based PID controller exhibits more robust performance than the studied PID without and with the DG-based method. The reduction in vibration amplitude and the damping time provided by a PID-ANFIS-based AGC controller with the integration DG is 83.75%, much less than Classical Controllers.

KEYWORDS:

• Adaptive Neuro-Fuzzy Interface (ANFIS)
• AGC
• Distribution Generation (DG)
• FLC
• LFC
• PIP
• Thermal power

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Getaneh Mesfin Meseret

Getaneh Mesfin Meseret was born in Ethiopia, Amhara Region Dangila. He got BSc degree in electrical and computer engineering in 2014 from Mekelle Institute of Technology, he received MSc degree in power system engineering in 2018 from Barhir Dar Institute of Technology (BIT), Bahirdar, Ethiopia. He is currently pursuing a PhD degree in power and energy system engineering from NIT Silchar, Assam. Automatic generation control, soft computing applications in power systems, power system control and operation, hybrid energy systems, and renewable energy systems are some of his research interests.

Lalit Chandra Saikia

Lalit Chandra Saikia was born in the Indian state of Assam. In 1993, he received a BTech degree in electrical engineering from Dibrugarh University in Assam, India, and in 2007, he received an MTech in power systems engineering from IIT Delhi. In April 2012, he obtained his PhD. In electrical engineering from NIT Silchar in Assam. He is currently employed as an associate professor in the Electrical Engineering Department at the National Institute of Technology in Silchar, Assam, India. He specializes in power systems control and operation, engineering applications of soft computing, distributed generation, power quality, demand-side management, and smart grids. Email: [email protected]