A New Type-3 Fuzzy PID for Energy Management in Microgrids
More recently, type-3 (T3) fuzzy logic systems (FLSs) with better learning ability and uncertainty modeling have been presented. On other hand, the proportional-integral-derivative (PID) is commonly employed in most industrial control systems, because of its simplicity and efficiency. The measuremen...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Mathematical Physics |
| Online Access: | http://dx.doi.org/10.1155/2022/8737448 |
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| author | Weiping Fan Ardashir Mohammadzadeh Nasreen Kausar Dragan Pamucar Nasr Al Din Ide |
| author_facet | Weiping Fan Ardashir Mohammadzadeh Nasreen Kausar Dragan Pamucar Nasr Al Din Ide |
| author_sort | Weiping Fan |
| collection | DOAJ |
| description | More recently, type-3 (T3) fuzzy logic systems (FLSs) with better learning ability and uncertainty modeling have been presented. On other hand, the proportional-integral-derivative (PID) is commonly employed in most industrial control systems, because of its simplicity and efficiency. The measurement errors, nonlinearities, and uncertainties degrade the performance of conventional PIDs. In this study, for the first time, a new T3-FLS-based PID scheme with deep learning approach is introduced. In addition to rules, the parameters of fuzzy sets are also tuned such that a fast regulation efficiency is obtained. Unlike the most conventional approaches, the suggested tuning approach is done in an online scheme. Also, a nonsingleton fuzzification is suggested to reduce the effect of sensor errors. The proposed scheme is examined on a case-study microgrid (MG), and its good frequency stabilization performance is demonstrated in various hard conditions such as variable load, unknown dynamics, and variation in renewable energy (RE) sources. |
| format | Article |
| id | doaj-art-92d05380d60c44e6a16b5bc46ffeb655 |
| institution | Kabale University |
| issn | 1687-9139 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Mathematical Physics |
| spelling | doaj-art-92d05380d60c44e6a16b5bc46ffeb6552025-02-03T05:49:24ZengWileyAdvances in Mathematical Physics1687-91392022-01-01202210.1155/2022/8737448A New Type-3 Fuzzy PID for Energy Management in MicrogridsWeiping Fan0Ardashir Mohammadzadeh1Nasreen Kausar2Dragan Pamucar3Nasr Al Din Ide4Swan CollegeMultidisciplinary Center for Infrastructure EngineeringDepartment of Mathematics and StatisticsFaculty of Organizational SciencesDepartment of MathematicsMore recently, type-3 (T3) fuzzy logic systems (FLSs) with better learning ability and uncertainty modeling have been presented. On other hand, the proportional-integral-derivative (PID) is commonly employed in most industrial control systems, because of its simplicity and efficiency. The measurement errors, nonlinearities, and uncertainties degrade the performance of conventional PIDs. In this study, for the first time, a new T3-FLS-based PID scheme with deep learning approach is introduced. In addition to rules, the parameters of fuzzy sets are also tuned such that a fast regulation efficiency is obtained. Unlike the most conventional approaches, the suggested tuning approach is done in an online scheme. Also, a nonsingleton fuzzification is suggested to reduce the effect of sensor errors. The proposed scheme is examined on a case-study microgrid (MG), and its good frequency stabilization performance is demonstrated in various hard conditions such as variable load, unknown dynamics, and variation in renewable energy (RE) sources.http://dx.doi.org/10.1155/2022/8737448 |
| spellingShingle | Weiping Fan Ardashir Mohammadzadeh Nasreen Kausar Dragan Pamucar Nasr Al Din Ide A New Type-3 Fuzzy PID for Energy Management in Microgrids Advances in Mathematical Physics |
| title | A New Type-3 Fuzzy PID for Energy Management in Microgrids |
| title_full | A New Type-3 Fuzzy PID for Energy Management in Microgrids |
| title_fullStr | A New Type-3 Fuzzy PID for Energy Management in Microgrids |
| title_full_unstemmed | A New Type-3 Fuzzy PID for Energy Management in Microgrids |
| title_short | A New Type-3 Fuzzy PID for Energy Management in Microgrids |
| title_sort | new type 3 fuzzy pid for energy management in microgrids |
| url | http://dx.doi.org/10.1155/2022/8737448 |
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