TY - GEN
T1 - Demand Side Management-Based Load Frequency Control of Islanded Microgrid Using Direct Load Control
AU - Sahoo, Subash Chandra
AU - Latif, Abdul
AU - Naidu, Satyajeet
AU - Patel, Shruti
AU - Kumar, Ranjan
AU - Das, Dulal Chandra
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - The increase in energy demand toward modern society makes the power system to include non-conventional energy sources along with conventional ones, however, the most significant challenges we are facing in the power system toward maintaining the frequency deviation. The more and more penetration of renewable energy sources (RES) will affect the system frequency. So we need to think about such a system that will sustain these intermittencies of the RES with minimal frequency deviation. In this paper, the direct load control method of demand side management (DSM) has been used for control of frequency variation. This paper proposes a model of hybrid microgrid (hμG ) system where the traditional RES like solar PV (SPV) and wind turbine generator (WTG) have been included. We have also included biodiesel engine generator (BDEG), refrigerator (REFG), heat pump (HP), and plugged-in hybrid electric vehicle (PHEV) to study the system performance toward frequency variation. Without any storage device, a demand response (DR) controller helps in monitoring and managing the controllable loads to adjust the system frequency. We have considered the PID controller the hμG, whose parameters are optimized by selfish herd optimization (SHO). Various case studies have been considered for observing system behavior. The simulated results were found satisfactory and confirm that the system frequency varies within the allowable limit, which enhances the system robustness.
AB - The increase in energy demand toward modern society makes the power system to include non-conventional energy sources along with conventional ones, however, the most significant challenges we are facing in the power system toward maintaining the frequency deviation. The more and more penetration of renewable energy sources (RES) will affect the system frequency. So we need to think about such a system that will sustain these intermittencies of the RES with minimal frequency deviation. In this paper, the direct load control method of demand side management (DSM) has been used for control of frequency variation. This paper proposes a model of hybrid microgrid (hμG ) system where the traditional RES like solar PV (SPV) and wind turbine generator (WTG) have been included. We have also included biodiesel engine generator (BDEG), refrigerator (REFG), heat pump (HP), and plugged-in hybrid electric vehicle (PHEV) to study the system performance toward frequency variation. Without any storage device, a demand response (DR) controller helps in monitoring and managing the controllable loads to adjust the system frequency. We have considered the PID controller the hμG, whose parameters are optimized by selfish herd optimization (SHO). Various case studies have been considered for observing system behavior. The simulated results were found satisfactory and confirm that the system frequency varies within the allowable limit, which enhances the system robustness.
KW - Biodiesel generator
KW - Demand response
KW - Demand side management
KW - Load frequency control
KW - Selfish herd optimization
KW - Solar photovoltaic power
KW - Wind turbine generator
UR - http://www.scopus.com/inward/record.url?scp=85104860179&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-9829-6_40
DO - 10.1007/978-981-15-9829-6_40
M3 - Conference contribution
AN - SCOPUS:85104860179
SN - 9789811598289
T3 - Smart Innovation, Systems and Technologies
SP - 503
EP - 514
BT - Modeling, Simulation and Optimization - Proceedings of CoMSO 2020
A2 - Das, Biplab
A2 - Patgiri, Ripon
A2 - Bandyopadhyay, Sivaji
A2 - Balas, Valentina Emilia
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Modeling, Simulation and Optimization, CoMSO 2020
Y2 - 3 August 2020 through 5 August 2020
ER -