International Conference on Computer and Knowledge Engineering

Home / 12th International Conference on Computer and Knowledge Engineering

Load Frequency Control of Geothermal Power Plant Incorporated Two-Area Hydro-Thermal System with AC-DC Lines

Authors :

Shanker J Gambhire¹ Malligunta Kiran Kumar² Hossein Shahinzadeh³ Mohammad-hossein Fayaz-dastgerdi⁴ B. Srikanth Goud⁵ Ch.Naga sai Kalyan⁶

1- Koneru Lakshmaiah Education Foundation 2- Koneru Lakshmaiah Education Foundation 3- Amirkabir University of Technology (Tehran Polytechnic) 4- Najafabad Branch, Islamic Azad University 5- Anurag University 6- Vasireddy Venkatadri Institute of Technology

Keywords :

load frequency control،geothermal power plant،10%SLP،AC-DC lines،WCA algorithm

Abstract :

In this paper, load frequency control (LFC) of a two-area hydro-thermal (TAHT) system with the integration of a geothermal power plant (GTPP) in area-1 is considered for investigation. Proportional-integral-double derivative (PIDD) controller rendered optimally using water cycle algorithm (WCA) subjected to integral square error (ISE) index is presented as a secondary regulator. LFC analysis is carried out by subjugating area-1 of the investigative system with a step load perturbation of 10% (10%SLP). Efficacy of PIDD is demonstrated with the PI, and PID performances. Moreover, the supremacy of WCA-tuned PIDD is validated with recent control techniques reported in the literature. Further, the GTPP integrated THAT system is enacted with an HVDC line as an additional tie-line in parallel with an existing line to achieve performance enhancement.

Papers List

List of archived papers

Human vs NotebookLM for Educational Podcasts: A Controlled Experiment on Two General Topics

Ali Banihashemi - Amirali Shahriary - Yadollah Yaghoobzadeh

Robustness Scan of Digital Circuits Using Convolutional Neural Networks

Mobin Vaziri - Mohammad Mehdi Rahimifar - Hadi Jahanirad

Improved TrustChain for Lightweight Devices

Seyed Salar Ghazi - Haleh Amintoosi

Vaccine Distribution Modelling in Pandemics through Multi-Agent Systems: COVID-19 Case

Hossein Yarahmadi - Mohammad Ebrahim Shiri - Hamid Reza Navidi - Arash Sharifi - Moharram Challenger - Hassan Piriaei

Bridging the Synthetic-to-Real Gap (BSRG): Creating Simulated Datasets for Domain Adaptation to Enhance Vehicle Detection

Behnaz Sadeghigol - Mohammad Ali Keyvanrad

HiCAP: Hierarchical Clustering-based Attention Pooling for Graph Representation Learning

Parsa Haddadian - Rooholah Abedian - Ali Moeini

Optimizing Question-Answering Framework Through Integration of Text Summarization Model and Third-Generation Generative Pre-Trained Transformer

Ervin Gubin Moung - Toh Sin Tong - Maisarah Mohd Sufian - Valentino Liaw - Ali Farzamnia - Farashazillah Yahya

AVID: A VARIATIONAL INFERENCE DELIBERATION FOR META-LEARNING

Alireza Javaheri - Arsham Gholamzadeh Khoee - Saeed Reza Kheradpisheh - Hadi Farahani - Mohammad Ganjtabesh

Bridging Knowledge and Language Models in Healthcare: A RAG Survey

Seyedali Hasanzadeh - Fahimeh Ghasemian - Elham Shabaninia

LightFedSelect: A Lightweight Framework for Byzantine-Robust Federated Learning

Seyed Saeed Razavi - Seyed Arsalan Vasegh Rahim Parvar - Soroosh Dadashi Pakdeh - Mohammad Matin Rezaeifard - Morteza Mollaie Chafi - Reza Ebrahimi Atani