Pub Date : 2021-10-25DOI: 10.1109/CENCON51869.2021.9627257
U. A. Saleh, S. A. Jumaat, M. A. Johar, Wan Jamaluddin
This paper presents an evaluation of system performance in real atmospheric conditions for a hybrid photovoltaic-thermoelectric generator. The systems comprise a 2-unit of 100W PV panel, 196TEG modules and 92 heatsink as cooling unit for the TEG. The configuration is used to minimize the PV module temperature and improve system performance. The TEGs were mounted on a heat sink at the back side of the shingle. The hybrid system has demonstrated its potential to generate sufficient energy. The power output of the TEG was entirely dependent on the series connection and the temperature difference across the hot and cold sides of the TEG, while the PV power output is dependent on the solar radiation and effective cooling of the PV cell. This findings suggests that the hybrid system can produce better results than a PV stand-alone system in a sunny weather condition. In the sunny days of March 2021, the maximum generation capacity and efficiency were achieved with 23.65W for the system with air-based natural flow cooling than the PV alone. The findings also indicates a 13.69% increase in efficiency in sunny days, 1.75% in rainy days and 1.26% in cloudy days
{"title":"Performance of the Hybrid Photovoltaic-Thermoelectric Generator (PV-TEG) System under Malaysian Weather Conditions","authors":"U. A. Saleh, S. A. Jumaat, M. A. Johar, Wan Jamaluddin","doi":"10.1109/CENCON51869.2021.9627257","DOIUrl":"https://doi.org/10.1109/CENCON51869.2021.9627257","url":null,"abstract":"This paper presents an evaluation of system performance in real atmospheric conditions for a hybrid photovoltaic-thermoelectric generator. The systems comprise a 2-unit of 100W PV panel, 196TEG modules and 92 heatsink as cooling unit for the TEG. The configuration is used to minimize the PV module temperature and improve system performance. The TEGs were mounted on a heat sink at the back side of the shingle. The hybrid system has demonstrated its potential to generate sufficient energy. The power output of the TEG was entirely dependent on the series connection and the temperature difference across the hot and cold sides of the TEG, while the PV power output is dependent on the solar radiation and effective cooling of the PV cell. This findings suggests that the hybrid system can produce better results than a PV stand-alone system in a sunny weather condition. In the sunny days of March 2021, the maximum generation capacity and efficiency were achieved with 23.65W for the system with air-based natural flow cooling than the PV alone. The findings also indicates a 13.69% increase in efficiency in sunny days, 1.75% in rainy days and 1.26% in cloudy days","PeriodicalId":101715,"journal":{"name":"2021 IEEE Conference on Energy Conversion (CENCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115975909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-25DOI: 10.1109/CENCON51869.2021.9627298
Muhammad Hazwan Hashim, Mohd Saiful Jamaluddin, Mohd Hafidzuddin Sam Hun, M. J. Aziz, N. M. Nordin
The lithium-ion battery became commercially popular and used due to its salient characteristics such as high terminal voltage, energy density and power density of a single cell. However, if there is no proper power regulation during the process of both charging and discharging. In that case, the life span of the batteries will significantly decrease and leads to undesirable results such as fire or explosion at times. Proper power regulation is essentials, and battery management systems (BMS) are employed to circumvent these problems. SOC estimation, cell balancing, and thermal management are the common subsystems of the battery management system (BMS). This paper focuses on the cell balancing subsystem, where it is a crucial subsystem of the BMS that will efficiently prolong the battery life span. The active balancing topology used in this paper is a Single Switch Capacitor to performed module balancing and cell balancing within internal modules. The BMS is based on the pack modularization architecture, where a single capacitor is being installed for module-to-module balancing. As for internal module balancing, cells are balanced using a single capacitor with applications of Auxiliary Battery and DC/DC Unidirectional Converter for boost charging purposes. Finally, the simulation of the BMS is being modelled with MATLAB Simulink to validate the results of the implementation system.
{"title":"Lithium-Ion Cell Balancing Using Auxiliary Battery and DC/DC Unidirectional Converter","authors":"Muhammad Hazwan Hashim, Mohd Saiful Jamaluddin, Mohd Hafidzuddin Sam Hun, M. J. Aziz, N. M. Nordin","doi":"10.1109/CENCON51869.2021.9627298","DOIUrl":"https://doi.org/10.1109/CENCON51869.2021.9627298","url":null,"abstract":"The lithium-ion battery became commercially popular and used due to its salient characteristics such as high terminal voltage, energy density and power density of a single cell. However, if there is no proper power regulation during the process of both charging and discharging. In that case, the life span of the batteries will significantly decrease and leads to undesirable results such as fire or explosion at times. Proper power regulation is essentials, and battery management systems (BMS) are employed to circumvent these problems. SOC estimation, cell balancing, and thermal management are the common subsystems of the battery management system (BMS). This paper focuses on the cell balancing subsystem, where it is a crucial subsystem of the BMS that will efficiently prolong the battery life span. The active balancing topology used in this paper is a Single Switch Capacitor to performed module balancing and cell balancing within internal modules. The BMS is based on the pack modularization architecture, where a single capacitor is being installed for module-to-module balancing. As for internal module balancing, cells are balanced using a single capacitor with applications of Auxiliary Battery and DC/DC Unidirectional Converter for boost charging purposes. Finally, the simulation of the BMS is being modelled with MATLAB Simulink to validate the results of the implementation system.","PeriodicalId":101715,"journal":{"name":"2021 IEEE Conference on Energy Conversion (CENCON)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133929406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-25DOI: 10.1109/CENCON51869.2021.9627299
Ha-Rang Jo, Youngjong Ko, Kyo-Beum Lee
This paper proposes an open fault tolerant control for reducing switching loss in a three-level Si/SiC hybrid active neutral-point clamped (HANPC) inverter. The Si/SiC hybrid ANPC inverter consists silicon (Si) switches and silicon-carbide (SiC) switches. The HANPC inverter is more economical compared to the full SiC ANPC inverter and the full SiC ANPC inverter provides the high efficiency and power density almost the same as the full-SiC ANPC inverter. The Si switches operate with the low switching frequency according to the fundamental frequency, and the SiC switches have the high switching frequency depend on the carrier-based switching methods. The HANPC inverter has two neutral-states which make the pole voltage zero. Even if one of the Si switches for generating the neutral-states has an open fault, therefore, the inverter can output the normal three-phase current with the tolerant control. When the open fault tolerant control is applied, however, the Si switches operate with the high switching frequency same as the SiC switches. As a result, the Si switches have the high switching loss and overheat. To solve this problem, the fault tolerant control using discontinuous pulse width modulation (DPWM) is proposed in this paper. The proposed method is verified through simulation results.
{"title":"Open Fault Tolerant Method Using DPWM for Reducing Switching Loss in Three-Level Hybrid ANPC Inverter","authors":"Ha-Rang Jo, Youngjong Ko, Kyo-Beum Lee","doi":"10.1109/CENCON51869.2021.9627299","DOIUrl":"https://doi.org/10.1109/CENCON51869.2021.9627299","url":null,"abstract":"This paper proposes an open fault tolerant control for reducing switching loss in a three-level Si/SiC hybrid active neutral-point clamped (HANPC) inverter. The Si/SiC hybrid ANPC inverter consists silicon (Si) switches and silicon-carbide (SiC) switches. The HANPC inverter is more economical compared to the full SiC ANPC inverter and the full SiC ANPC inverter provides the high efficiency and power density almost the same as the full-SiC ANPC inverter. The Si switches operate with the low switching frequency according to the fundamental frequency, and the SiC switches have the high switching frequency depend on the carrier-based switching methods. The HANPC inverter has two neutral-states which make the pole voltage zero. Even if one of the Si switches for generating the neutral-states has an open fault, therefore, the inverter can output the normal three-phase current with the tolerant control. When the open fault tolerant control is applied, however, the Si switches operate with the high switching frequency same as the SiC switches. As a result, the Si switches have the high switching loss and overheat. To solve this problem, the fault tolerant control using discontinuous pulse width modulation (DPWM) is proposed in this paper. The proposed method is verified through simulation results.","PeriodicalId":101715,"journal":{"name":"2021 IEEE Conference on Energy Conversion (CENCON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123931145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-25DOI: 10.1109/CENCON51869.2021.9627245
Jun-Hyeok Park, Kyo-Beum Lee
This paper presents methods for suppressing high-frequency (HF-) zero-sequence circulating current (ZSCC) generated by interleaved pulse width modulation (PWM) and low-frequency (LF-) ZSCC generated by inconsistent circuit parameters or inconsistent reference signals. In medium/$h$ igh power applications, three-level neutral-point-clamped (NPC) inverters are used in parallel connection to obtain high power rating. In this parallel operation, interleaved PWM is used to improve the quality of the output current with a small filter inductor. However, ZSCC increases due to the small filter inductor. The proposed methods for suppression of HF-ZSCC generated by interleaved PWM are alternative phase opposite disposition (APOD) PWM based on carrier modulation and double-reference PWM (DRPWM) based on reference signal modulation. Additionally, the method that injects an optimized zero-sequence voltage (ZSV) when LF-ZSCC is generated is added to suppress HF- and LF-ZSCC simultaneously. The ZSCC suppression performance is proved by the simulation results.
{"title":"Zero-Sequence Circulating Current Suppression in Multi-paralleled Three-Level NPC Inverters under Unbalanced Operating Conditions","authors":"Jun-Hyeok Park, Kyo-Beum Lee","doi":"10.1109/CENCON51869.2021.9627245","DOIUrl":"https://doi.org/10.1109/CENCON51869.2021.9627245","url":null,"abstract":"This paper presents methods for suppressing high-frequency (HF-) zero-sequence circulating current (ZSCC) generated by interleaved pulse width modulation (PWM) and low-frequency (LF-) ZSCC generated by inconsistent circuit parameters or inconsistent reference signals. In medium/$h$ igh power applications, three-level neutral-point-clamped (NPC) inverters are used in parallel connection to obtain high power rating. In this parallel operation, interleaved PWM is used to improve the quality of the output current with a small filter inductor. However, ZSCC increases due to the small filter inductor. The proposed methods for suppression of HF-ZSCC generated by interleaved PWM are alternative phase opposite disposition (APOD) PWM based on carrier modulation and double-reference PWM (DRPWM) based on reference signal modulation. Additionally, the method that injects an optimized zero-sequence voltage (ZSV) when LF-ZSCC is generated is added to suppress HF- and LF-ZSCC simultaneously. The ZSCC suppression performance is proved by the simulation results.","PeriodicalId":101715,"journal":{"name":"2021 IEEE Conference on Energy Conversion (CENCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123974998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-25DOI: 10.1109/CENCON51869.2021.9627295
M. Gamel, P. Ker, H. J. Lee, M. Hannan
In0.53Ga0.47As III–V semiconductor material has attracted significant attention from thermophotovoltaic research community due to its excellent optical and electrical properties. Furthermore, a high crystal In0.53Ga0.47 As structure can be grown on a lattice-matched InP substrate, making it a suitable candidate for large-scale production. However, the predominant drawback of the cell is low conversion efficiency, and there is a lack of detailed analysis of the effect of waste heat temperatures on the cell performance. Therefore, this work aims to conduct a comprehensive analysis via optimizing the active junction and characterizing the In0.53Ga0.47 As TPV structure under different waste heat temperatures ranging from 800 to 2000 K. TCAD Silvaco software was used to simulate the output performance of the TPV cell. The simulation results were validated with the reported experimental results. Results show that the variation of base layer thicknesses significantly affect the cell performance, with a significant increase in efficiency from 6.98 to 18.2% at a radiation temperature of 1000 K, as the base thickness increased from 1 to 13 μm. For radiation's temperatures from 800 K to 2000 K, the efficiencies of the optimized TPV cells increased by more than 10% as compared to the reference structure. The results obtained from this study contribute to the understanding of the effects of various waste heat temperatures on the performance of In0.53Ga0.47 As TPV cell, as well as to provide useful guidelines to fabricate high-performance In0.53Ga0.47As TPV cell for various waste heat temperatures.
{"title":"Characterization and Optimization of Lattice-Matched InGaAs TPV Cell for Waste Heat Harvesting","authors":"M. Gamel, P. Ker, H. J. Lee, M. Hannan","doi":"10.1109/CENCON51869.2021.9627295","DOIUrl":"https://doi.org/10.1109/CENCON51869.2021.9627295","url":null,"abstract":"In0.53Ga0.47As III–V semiconductor material has attracted significant attention from thermophotovoltaic research community due to its excellent optical and electrical properties. Furthermore, a high crystal In0.53Ga0.47 As structure can be grown on a lattice-matched InP substrate, making it a suitable candidate for large-scale production. However, the predominant drawback of the cell is low conversion efficiency, and there is a lack of detailed analysis of the effect of waste heat temperatures on the cell performance. Therefore, this work aims to conduct a comprehensive analysis via optimizing the active junction and characterizing the In0.53Ga0.47 As TPV structure under different waste heat temperatures ranging from 800 to 2000 K. TCAD Silvaco software was used to simulate the output performance of the TPV cell. The simulation results were validated with the reported experimental results. Results show that the variation of base layer thicknesses significantly affect the cell performance, with a significant increase in efficiency from 6.98 to 18.2% at a radiation temperature of 1000 K, as the base thickness increased from 1 to 13 μm. For radiation's temperatures from 800 K to 2000 K, the efficiencies of the optimized TPV cells increased by more than 10% as compared to the reference structure. The results obtained from this study contribute to the understanding of the effects of various waste heat temperatures on the performance of In0.53Ga0.47 As TPV cell, as well as to provide useful guidelines to fabricate high-performance In0.53Ga0.47As TPV cell for various waste heat temperatures.","PeriodicalId":101715,"journal":{"name":"2021 IEEE Conference on Energy Conversion (CENCON)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114919849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-25DOI: 10.1109/CENCON51869.2021.9627281
Ronald Jackson, S. A. Zulkifli, Muhamed Benbouzid, S. Salimin, M. H. Khan, G. Elhassan
This paper presents a comparative analysis of grid synchronization techniques for grid-connected power converters. The current paradigm in the power distribution system is the penetration of power inverters into the existing grid network. The analysis has been done through a comparative study method between the synchronous generator-droop control technique and the phase-locked loop (PLL). The main objective is to prove that droop control can emulate the conventional synchronization technique, PLL. The MATLAB simulation results have been provided to verify the studies.
{"title":"Analysis of Droop Control for Emulating Grid Synchronization Mechanism","authors":"Ronald Jackson, S. A. Zulkifli, Muhamed Benbouzid, S. Salimin, M. H. Khan, G. Elhassan","doi":"10.1109/CENCON51869.2021.9627281","DOIUrl":"https://doi.org/10.1109/CENCON51869.2021.9627281","url":null,"abstract":"This paper presents a comparative analysis of grid synchronization techniques for grid-connected power converters. The current paradigm in the power distribution system is the penetration of power inverters into the existing grid network. The analysis has been done through a comparative study method between the synchronous generator-droop control technique and the phase-locked loop (PLL). The main objective is to prove that droop control can emulate the conventional synchronization technique, PLL. The MATLAB simulation results have been provided to verify the studies.","PeriodicalId":101715,"journal":{"name":"2021 IEEE Conference on Energy Conversion (CENCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128326820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-25DOI: 10.1109/CENCON51869.2021.9627253
Ahmed Tijjani Dahiru, Chee Wei Tan, Abba Lawan Bukar, K. Y. Lau, C. L. Toh, S. Salisu
Statistical tools are useful in analyzing the longterm techno-economic implications in system designs. Methods such as Monte Carlo simulations and Decision Tree were applied in renewable energy system analysis due to the stochastic parameters involved. However, the methods were cumbersome and data-intensive that required lots of empirical data. Assumptions such as scenario generation in providing the required data affect quality and speed of Monte Carlo implementations. While Decision Tree tends to be cumbersome and time consuming when involved in large transitions. This paper proposed a Markov Chains method to analyze the operational stability in a photovoltaic/wind/battery residential nanogrid interacting with main grid. The proposed method only required simple states' transition probabilities that form Markovian matrices. The simulated Markovian matrices hence produced probabilistic information with several options interpreted in decision making. Results obtained indicated Markovian matrices derived from transition probabilities in nanogrid's autonomous operations and main grid interactions produced steady-state probability ratios 0.5:0.5, 0.4667:0.5333, 0.4286:0.5714, and 0.3846:0.6154. The probabilistic information indicated that the nanogrid was able to achieved 38.46-61.54% autonomy range in the lifetime analysis. The Markov Chains' performance in the nanogrid/main grid energy trade-offs is envisaged to be improved by considering each transition state supplementing one another.
{"title":"Stability Analysis in a Grid-interactive Residential Nanogrid Using Markov Chains","authors":"Ahmed Tijjani Dahiru, Chee Wei Tan, Abba Lawan Bukar, K. Y. Lau, C. L. Toh, S. Salisu","doi":"10.1109/CENCON51869.2021.9627253","DOIUrl":"https://doi.org/10.1109/CENCON51869.2021.9627253","url":null,"abstract":"Statistical tools are useful in analyzing the longterm techno-economic implications in system designs. Methods such as Monte Carlo simulations and Decision Tree were applied in renewable energy system analysis due to the stochastic parameters involved. However, the methods were cumbersome and data-intensive that required lots of empirical data. Assumptions such as scenario generation in providing the required data affect quality and speed of Monte Carlo implementations. While Decision Tree tends to be cumbersome and time consuming when involved in large transitions. This paper proposed a Markov Chains method to analyze the operational stability in a photovoltaic/wind/battery residential nanogrid interacting with main grid. The proposed method only required simple states' transition probabilities that form Markovian matrices. The simulated Markovian matrices hence produced probabilistic information with several options interpreted in decision making. Results obtained indicated Markovian matrices derived from transition probabilities in nanogrid's autonomous operations and main grid interactions produced steady-state probability ratios 0.5:0.5, 0.4667:0.5333, 0.4286:0.5714, and 0.3846:0.6154. The probabilistic information indicated that the nanogrid was able to achieved 38.46-61.54% autonomy range in the lifetime analysis. The Markov Chains' performance in the nanogrid/main grid energy trade-offs is envisaged to be improved by considering each transition state supplementing one another.","PeriodicalId":101715,"journal":{"name":"2021 IEEE Conference on Energy Conversion (CENCON)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133898534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-25DOI: 10.1109/CENCON51869.2021.9627311
Abba Lawan Bukar, Chee Wei Tan, K. Y. Lau, C. L. Toh, R. Ayop, Ahmed Tijjani Dahiru
Electricity generation using renewable energy-based microgrid (REM) is a prerequisite to achieve one of the cardinal objectives of sustainable development goals. Nonetheless, the optimum design and sizing of the REM is challenging. This is because the REM needs to supply the fluctuating demand considering the sporadic behaviour of the renewable energy sources (RES). This paper, therefore, proposes a nature-inspired metaheuristic optimization searching technique (MOST) to optimize the components of an autonomous microgrid integrating a diesel generator ${left(D_{text{GEN}}right)}$, battery bank, photovoltaic and wind turbine. In this regard, a cycle-charging energy management scheme (CEMS) control is proposed and implemented using a rule-based algorithm. The proposed CEMS provide a power delivery sequence for the different components of the microgrid. Subsequently, the CEMS is optimized using the metaheuristic optimization searching techniques (MOSTs). To benchmark, the paper compares the success of six different MOSTs. The simulation is performed for the climatic conditions of Yobe State, in northern Nigeria using MATLAB software. The comparative results show that the grasshopper optimization algorithm is found to yield a better result because it gives the least fitness function relative to other studied MOSTs. Remarkably, it outperforms the grey wolf optimizer, the ant lion optimizer, and the particle swarm optimization by ~ 3.0 percent, ~ 5.8 percent, and ~ 3.6 percent (equivalent to a cost savings of $8332.38, $4219.87, and $5144.64 from the target microgrid project). Results also indicate that the proposed CEMS adopted for the microgrid control strategy has led to the implementation of a clean and affordable energy system, as it's significantly minimized CO2 (by 92.3%), fuel consumption (by 92.4%), compared fossil fuel-based ${D_{text{GEN}}}$.
{"title":"Energy Management Strategy and Capacity Planning of an Autonomous Microgrid: A Comparative Study of Metaheuristic Optimization Searching Techniques","authors":"Abba Lawan Bukar, Chee Wei Tan, K. Y. Lau, C. L. Toh, R. Ayop, Ahmed Tijjani Dahiru","doi":"10.1109/CENCON51869.2021.9627311","DOIUrl":"https://doi.org/10.1109/CENCON51869.2021.9627311","url":null,"abstract":"Electricity generation using renewable energy-based microgrid (REM) is a prerequisite to achieve one of the cardinal objectives of sustainable development goals. Nonetheless, the optimum design and sizing of the REM is challenging. This is because the REM needs to supply the fluctuating demand considering the sporadic behaviour of the renewable energy sources (RES). This paper, therefore, proposes a nature-inspired metaheuristic optimization searching technique (MOST) to optimize the components of an autonomous microgrid integrating a diesel generator ${left(D_{text{GEN}}right)}$, battery bank, photovoltaic and wind turbine. In this regard, a cycle-charging energy management scheme (CEMS) control is proposed and implemented using a rule-based algorithm. The proposed CEMS provide a power delivery sequence for the different components of the microgrid. Subsequently, the CEMS is optimized using the metaheuristic optimization searching techniques (MOSTs). To benchmark, the paper compares the success of six different MOSTs. The simulation is performed for the climatic conditions of Yobe State, in northern Nigeria using MATLAB software. The comparative results show that the grasshopper optimization algorithm is found to yield a better result because it gives the least fitness function relative to other studied MOSTs. Remarkably, it outperforms the grey wolf optimizer, the ant lion optimizer, and the particle swarm optimization by ~ 3.0 percent, ~ 5.8 percent, and ~ 3.6 percent (equivalent to a cost savings of $8332.38, $4219.87, and $5144.64 from the target microgrid project). Results also indicate that the proposed CEMS adopted for the microgrid control strategy has led to the implementation of a clean and affordable energy system, as it's significantly minimized CO2 (by 92.3%), fuel consumption (by 92.4%), compared fossil fuel-based ${D_{text{GEN}}}$.","PeriodicalId":101715,"journal":{"name":"2021 IEEE Conference on Energy Conversion (CENCON)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129270837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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