TY - GEN
T1 - JAYA-evaluated frequency control design for hydroelectric power system using RFB and UPFC
AU - Panwar, Akhilesh
AU - Sharma, Gulshan
AU - Nasiruddin, Ibraheem
AU - Bansal, R. C.
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd 2020.
PY - 2020
Y1 - 2020
N2 - The present paper discusses an early attempt to investigate and propose the various control actions such as integral derivative (ID), integral double derivative (IDD) and proportional integral derivative (PID) with gains evaluated via a new and powerful evolutionary technique known as JAYA algorithm to maintain the equilibrium between power generation and demand of the hydroelectric power system, and hence to reach system frequency in minimum time for variation in system demand. At first, the enactment of JAYA-ID, JAYA-IDD and JAYA-PID founded designs are assessed for standard demand change in one of the areas of a connected electric power system and the comparative assessment is carried out on the acquired value of inverse time multiplied absolute error (ITAE). The assessment of hydroelectric power system is carried out in terms of obtained gains, minimized error value and power responses to demonstrate the efficacy of the proposed design. The obtained assessment shows the advancement of JAYA-PID over other evaluated deigns. However, still the hydroelectric power responses struggle with higher overshoot, unacceptable settling time and error in reaching steady state. This is due to slow responding of hydroturbines and hence the unified power flow control (UPFC) in series with tie line and support from redox flow battery (RFB) is further used in the hydroelectric power system to improve the assessment significantly. Further enrichment in the hydroelectric power responses is realized by again calculating the gains of PID via JAYA algorithm with positive contribution from RFB and UPFC.
AB - The present paper discusses an early attempt to investigate and propose the various control actions such as integral derivative (ID), integral double derivative (IDD) and proportional integral derivative (PID) with gains evaluated via a new and powerful evolutionary technique known as JAYA algorithm to maintain the equilibrium between power generation and demand of the hydroelectric power system, and hence to reach system frequency in minimum time for variation in system demand. At first, the enactment of JAYA-ID, JAYA-IDD and JAYA-PID founded designs are assessed for standard demand change in one of the areas of a connected electric power system and the comparative assessment is carried out on the acquired value of inverse time multiplied absolute error (ITAE). The assessment of hydroelectric power system is carried out in terms of obtained gains, minimized error value and power responses to demonstrate the efficacy of the proposed design. The obtained assessment shows the advancement of JAYA-PID over other evaluated deigns. However, still the hydroelectric power responses struggle with higher overshoot, unacceptable settling time and error in reaching steady state. This is due to slow responding of hydroturbines and hence the unified power flow control (UPFC) in series with tie line and support from redox flow battery (RFB) is further used in the hydroelectric power system to improve the assessment significantly. Further enrichment in the hydroelectric power responses is realized by again calculating the gains of PID via JAYA algorithm with positive contribution from RFB and UPFC.
KW - ID
KW - IDD
KW - JAYA algorithm
KW - LFC
KW - PID
KW - RFB
KW - UPFC
UR - http://www.scopus.com/inward/record.url?scp=85077502700&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-0214-9_91
DO - 10.1007/978-981-15-0214-9_91
M3 - Conference contribution
AN - SCOPUS:85077502700
SN - 9789811502132
T3 - Lecture Notes in Electrical Engineering
SP - 863
EP - 871
BT - Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2018
A2 - Kalam, Akhtar
A2 - Niazi, Khaleequr Rehman
A2 - Soni, Amit
A2 - Siddiqui, Shahbaz Ahmed
A2 - Mundra, Ankit
PB - Springer
T2 - 1st International conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2018
Y2 - 22 December 2018 through 23 December 2018
ER -