Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty
Weather-driven uncertainties and other extreme events, particularly with the increasing reliance on variable renewable energy (VRE), have made achieving a reliable microgrid operation increasingly challenging. This research proposes a comprehensive and integrated planning strategy for capacity sizin...
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MDPI AG
2023-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/19/6838 |
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| author | Mark Kipngetich Kiptoo Oludamilare Bode Adewuyi Masahiro Furukakoi Paras Mandal Tomonobu Senjyu |
| author_facet | Mark Kipngetich Kiptoo Oludamilare Bode Adewuyi Masahiro Furukakoi Paras Mandal Tomonobu Senjyu |
| author_sort | Mark Kipngetich Kiptoo |
| collection | DOAJ |
| description | Weather-driven uncertainties and other extreme events, particularly with the increasing reliance on variable renewable energy (VRE), have made achieving a reliable microgrid operation increasingly challenging. This research proposes a comprehensive and integrated planning strategy for capacity sizing and operational planning, incorporating forecasting and demand response program (DRP) strategies to address microgrid operation under various conditions, accounting for uncertainties. The microgrid includes photovoltaic systems, wind turbines, and battery energy storage. Uncertainties in VREs and load fluctuations are modeled using Monte Carlo simulations (MCSs), while forecasting is based on the long short-term memory (LSTM) model. To determine the best techno-economic planning approach, six cases are formulated and solved using a multi-objective particle swarm optimization with multi-criteria ranking for these three objectives: total lifecycle costs (TLCC), reliability criteria, and surplus VRE curtailment. Shortage/surplus adaptive pricing combined with variable peak critical peak pricing (SSAP VP-CPP) DRP is devised and compared with a time-of-use VP-CPP DRP in mitigating the impacts of both critical and non-critical events in the system. The simulation results show that the integrated planning, which combines LSTM forecasting with DRP strategies, achieved about 7% and 5% TLCC reductions for deterministic and stochastic approaches, respectively. The approach allowed optimal sizing and operation planning, improving the utilization of VREs and effectively managing uncertainty, resulting in the most cost-effective and robust VRE-based microgrid with enhanced resilience and reliability. |
| first_indexed | 2024-03-10T21:45:27Z |
| format | Article |
| id | doaj.art-2407f99670854ab3ab7af466e8fdd798 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T21:45:27Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2407f99670854ab3ab7af466e8fdd7982023-11-19T14:19:35ZengMDPI AGEnergies1996-10732023-09-011619683810.3390/en16196838Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and UncertaintyMark Kipngetich Kiptoo0Oludamilare Bode Adewuyi1Masahiro Furukakoi2Paras Mandal3Tomonobu Senjyu4Graduate School of Science and Engineering, University of the Ryukyus, Nishihara 903-0213, JapanFaculty of Engineering, Information and Systems, University of Tsukuba, 1 Chome-1-1 Tennodai, Ibaraki 305-8577, JapanNational Institute of Technology, Sasebo College, Sasebo 857-1193, JapanDepartment of Electrical and Computer Engineering, University of Texas at El Paso, El Paso, TX 79968, USAGraduate School of Science and Engineering, University of the Ryukyus, Nishihara 903-0213, JapanWeather-driven uncertainties and other extreme events, particularly with the increasing reliance on variable renewable energy (VRE), have made achieving a reliable microgrid operation increasingly challenging. This research proposes a comprehensive and integrated planning strategy for capacity sizing and operational planning, incorporating forecasting and demand response program (DRP) strategies to address microgrid operation under various conditions, accounting for uncertainties. The microgrid includes photovoltaic systems, wind turbines, and battery energy storage. Uncertainties in VREs and load fluctuations are modeled using Monte Carlo simulations (MCSs), while forecasting is based on the long short-term memory (LSTM) model. To determine the best techno-economic planning approach, six cases are formulated and solved using a multi-objective particle swarm optimization with multi-criteria ranking for these three objectives: total lifecycle costs (TLCC), reliability criteria, and surplus VRE curtailment. Shortage/surplus adaptive pricing combined with variable peak critical peak pricing (SSAP VP-CPP) DRP is devised and compared with a time-of-use VP-CPP DRP in mitigating the impacts of both critical and non-critical events in the system. The simulation results show that the integrated planning, which combines LSTM forecasting with DRP strategies, achieved about 7% and 5% TLCC reductions for deterministic and stochastic approaches, respectively. The approach allowed optimal sizing and operation planning, improving the utilization of VREs and effectively managing uncertainty, resulting in the most cost-effective and robust VRE-based microgrid with enhanced resilience and reliability.https://www.mdpi.com/1996-1073/16/19/6838variable renewable energy sources (VREs)demand response program (DRP)shortage/surplus-based adaptive pricing (SSAP)deficiency of power supply probability (DPSP)variable peak critical peak pricing VP-CPP DRP |
| spellingShingle | Mark Kipngetich Kiptoo Oludamilare Bode Adewuyi Masahiro Furukakoi Paras Mandal Tomonobu Senjyu Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty Energies variable renewable energy sources (VREs) demand response program (DRP) shortage/surplus-based adaptive pricing (SSAP) deficiency of power supply probability (DPSP) variable peak critical peak pricing VP-CPP DRP |
| title | Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty |
| title_full | Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty |
| title_fullStr | Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty |
| title_full_unstemmed | Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty |
| title_short | Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty |
| title_sort | integrated multi criteria planning for resilient renewable energy based microgrid considering advanced demand response and uncertainty |
| topic | variable renewable energy sources (VREs) demand response program (DRP) shortage/surplus-based adaptive pricing (SSAP) deficiency of power supply probability (DPSP) variable peak critical peak pricing VP-CPP DRP |
| url | https://www.mdpi.com/1996-1073/16/19/6838 |
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