Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller
Abstract In today's electrical grid, frequency cannot be ignored. The proliferation of renewable energy sources into a power system degrades its frequency; hence, the need for frequency regulation has been increased as a result. The second major factor is the perturbation in the load that origi...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-12-01
|
| Series: | IET Renewable Power Generation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rpg2.12885 |
| _version_ | 1797383602140348416 |
|---|---|
| author | Daud Sibtain Turab Rafiq Mehdi Hassan Bhatti Sulman Shahzad Heybet Kilic |
| author_facet | Daud Sibtain Turab Rafiq Mehdi Hassan Bhatti Sulman Shahzad Heybet Kilic |
| author_sort | Daud Sibtain |
| collection | DOAJ |
| description | Abstract In today's electrical grid, frequency cannot be ignored. The proliferation of renewable energy sources into a power system degrades its frequency; hence, the need for frequency regulation has been increased as a result. The second major factor is the perturbation in the load that originates the frequency fluctuation which needs to be suppressed in minimum time to avoid any system collapse. The designing of an optimal controller is indispensable because of increasing power system complexity. In order to maintain the stability of the power system, this paper presents the cascaded design of the model predictive controller with fractional order PID controller (MPC‐FOPIDN) to mitigate the frequency oscillations due to disruption in load. The combination of the predictive capabilities of model predictive control (MPC) and fractional order control enhances control abilities, making it an optimal control strategy for load frequency control (LFC). The grasshopper optimization algorithm (GOA) is applied to obtain optimal gains values for the FOPID controller. The efficacy of the controller has effectively mitigated frequency fluctuations caused by a change in demand or any uncertainty in the power system. |
| first_indexed | 2024-03-08T21:23:26Z |
| format | Article |
| id | doaj.art-9f9250a65e8a4e9083ab8bd778121a7d |
| institution | Directory Open Access Journal |
| issn | 1752-1416 1752-1424 |
| language | English |
| last_indexed | 2024-03-08T21:23:26Z |
| publishDate | 2023-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj.art-9f9250a65e8a4e9083ab8bd778121a7d2023-12-21T08:06:44ZengWileyIET Renewable Power Generation1752-14161752-14242023-12-0117163836385510.1049/rpg2.12885Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controllerDaud Sibtain0Turab Rafiq1Mehdi Hassan Bhatti2Sulman Shahzad3Heybet Kilic4Harbin Electric Company Limited Harbin ChinaHarbin Electric Company Limited Harbin ChinaHarbin Electric Company Limited Harbin ChinaNational Transmission and Despatch Company Limited (NTDCL) Lahore PakistanDepartment of Electric Power and Energy Systems Dicle University Diyarbakır TurkeyAbstract In today's electrical grid, frequency cannot be ignored. The proliferation of renewable energy sources into a power system degrades its frequency; hence, the need for frequency regulation has been increased as a result. The second major factor is the perturbation in the load that originates the frequency fluctuation which needs to be suppressed in minimum time to avoid any system collapse. The designing of an optimal controller is indispensable because of increasing power system complexity. In order to maintain the stability of the power system, this paper presents the cascaded design of the model predictive controller with fractional order PID controller (MPC‐FOPIDN) to mitigate the frequency oscillations due to disruption in load. The combination of the predictive capabilities of model predictive control (MPC) and fractional order control enhances control abilities, making it an optimal control strategy for load frequency control (LFC). The grasshopper optimization algorithm (GOA) is applied to obtain optimal gains values for the FOPID controller. The efficacy of the controller has effectively mitigated frequency fluctuations caused by a change in demand or any uncertainty in the power system.https://doi.org/10.1049/rpg2.12885fractional order PID controllergrasshopper optimization algorithmload frequency controlmodel predictive controller |
| spellingShingle | Daud Sibtain Turab Rafiq Mehdi Hassan Bhatti Sulman Shahzad Heybet Kilic Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller IET Renewable Power Generation fractional order PID controller grasshopper optimization algorithm load frequency control model predictive controller |
| title | Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller |
| title_full | Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller |
| title_fullStr | Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller |
| title_full_unstemmed | Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller |
| title_short | Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller |
| title_sort | frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order pid controller |
| topic | fractional order PID controller grasshopper optimization algorithm load frequency control model predictive controller |
| url | https://doi.org/10.1049/rpg2.12885 |
| work_keys_str_mv | AT daudsibtain frequencystabilizationforinterconnectedrenewablebasedpowersystemusingcascadedmodelpredictivecontrollerwithfractionalorderpidcontroller AT turabrafiq frequencystabilizationforinterconnectedrenewablebasedpowersystemusingcascadedmodelpredictivecontrollerwithfractionalorderpidcontroller AT mehdihassanbhatti frequencystabilizationforinterconnectedrenewablebasedpowersystemusingcascadedmodelpredictivecontrollerwithfractionalorderpidcontroller AT sulmanshahzad frequencystabilizationforinterconnectedrenewablebasedpowersystemusingcascadedmodelpredictivecontrollerwithfractionalorderpidcontroller AT heybetkilic frequencystabilizationforinterconnectedrenewablebasedpowersystemusingcascadedmodelpredictivecontrollerwithfractionalorderpidcontroller |