Model Predictive Control Approach for Optimal Power Dispatch and Duck Curve Handling Under High Photovoltaic Power Penetration
In this paper, an energy management system (EMS) has been developed based on model predictive control (MPC) to optimally dispatch the power units and particularly handle the duck curve fast ramping events. The methodology is specifically developed considering higher penetration of solar photovoltaic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9220090/ |
| _version_ | 1818727522613854208 |
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| author | Sulaiman S. Ahmad Fahad Saleh Al-Ismail Abdullah A. Almehizia Muhammad Khalid |
| author_facet | Sulaiman S. Ahmad Fahad Saleh Al-Ismail Abdullah A. Almehizia Muhammad Khalid |
| author_sort | Sulaiman S. Ahmad |
| collection | DOAJ |
| description | In this paper, an energy management system (EMS) has been developed based on model predictive control (MPC) to optimally dispatch the power units and particularly handle the duck curve fast ramping events. The methodology is specifically developed considering higher penetration of solar photovoltaic power subjected to realistic physical constraints. Battery energy storage, load shedding and solar curtailment have been utilized to effectively control the duck curve fast ramping events. The proposed system has been assessed with the help of a case study using a 24-bus RTS system. Consequently, detailed flexibility analyses were carried out and it has been proven that the given energy management and control system is capable of handling fast ramping events of duck curve. Furthermore, it has been observed that the overall operation cost of the system is also minimized. The performance of the developed model is compared with traditional non-MPC based mixed-integer linear programming approaches and it has been concluded that MPC-based optimization is more economical and effective in handling the duck curve challenges. |
| first_indexed | 2024-12-17T22:15:26Z |
| format | Article |
| id | doaj.art-e597678a4ce24b299476a56b054c0c11 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T22:15:26Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e597678a4ce24b299476a56b054c0c112022-12-21T21:30:38ZengIEEEIEEE Access2169-35362020-01-01818684018685010.1109/ACCESS.2020.30301009220090Model Predictive Control Approach for Optimal Power Dispatch and Duck Curve Handling Under High Photovoltaic Power PenetrationSulaiman S. Ahmad0https://orcid.org/0000-0001-6611-1051Fahad Saleh Al-Ismail1https://orcid.org/0000-0002-8743-5706Abdullah A. Almehizia2Muhammad Khalid3https://orcid.org/0000-0001-7779-5348Electrical Engineering Department, Engineering College, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaElectrical Engineering Department, Engineering College, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaNational Center for Electrical Systems Technology, Energy and Water Research Institute, King Abdulaziz City for Science and Technology, Riyadh, Saudi ArabiaElectrical Engineering Department, Engineering College, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaIn this paper, an energy management system (EMS) has been developed based on model predictive control (MPC) to optimally dispatch the power units and particularly handle the duck curve fast ramping events. The methodology is specifically developed considering higher penetration of solar photovoltaic power subjected to realistic physical constraints. Battery energy storage, load shedding and solar curtailment have been utilized to effectively control the duck curve fast ramping events. The proposed system has been assessed with the help of a case study using a 24-bus RTS system. Consequently, detailed flexibility analyses were carried out and it has been proven that the given energy management and control system is capable of handling fast ramping events of duck curve. Furthermore, it has been observed that the overall operation cost of the system is also minimized. The performance of the developed model is compared with traditional non-MPC based mixed-integer linear programming approaches and it has been concluded that MPC-based optimization is more economical and effective in handling the duck curve challenges.https://ieeexplore.ieee.org/document/9220090/Battery energy storage systemcurtailmentduck curvemodel predictive controlphotovoltaicload shedding |
| spellingShingle | Sulaiman S. Ahmad Fahad Saleh Al-Ismail Abdullah A. Almehizia Muhammad Khalid Model Predictive Control Approach for Optimal Power Dispatch and Duck Curve Handling Under High Photovoltaic Power Penetration IEEE Access Battery energy storage system curtailment duck curve model predictive control photovoltaic load shedding |
| title | Model Predictive Control Approach for Optimal Power Dispatch and Duck Curve Handling Under High Photovoltaic Power Penetration |
| title_full | Model Predictive Control Approach for Optimal Power Dispatch and Duck Curve Handling Under High Photovoltaic Power Penetration |
| title_fullStr | Model Predictive Control Approach for Optimal Power Dispatch and Duck Curve Handling Under High Photovoltaic Power Penetration |
| title_full_unstemmed | Model Predictive Control Approach for Optimal Power Dispatch and Duck Curve Handling Under High Photovoltaic Power Penetration |
| title_short | Model Predictive Control Approach for Optimal Power Dispatch and Duck Curve Handling Under High Photovoltaic Power Penetration |
| title_sort | model predictive control approach for optimal power dispatch and duck curve handling under high photovoltaic power penetration |
| topic | Battery energy storage system curtailment duck curve model predictive control photovoltaic load shedding |
| url | https://ieeexplore.ieee.org/document/9220090/ |
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