A New Type-3 Fuzzy PID for Energy Management in Microgrids
Апстракт
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.
Извор:
Advances in Mathematical Physics, 2022, 2022Издавач:
- Hindawi Ltd, London
DOI: 10.1155/2022/8737448
ISSN: 1687-9120
WoS: 000891013400001
Scopus: 2-s2.0-85135854256
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Fan, Weiping AU - Mohammadzadeh, Ardashir AU - Kausar, Nasreen AU - Pamučar, Dragan AU - Ide, Nasr Al Din PY - 2022 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2318 AB - 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. PB - Hindawi Ltd, London T2 - Advances in Mathematical Physics T1 - A New Type-3 Fuzzy PID for Energy Management in Microgrids VL - 2022 DO - 10.1155/2022/8737448 UR - conv_2804 ER -
@article{ author = "Fan, Weiping and Mohammadzadeh, Ardashir and Kausar, Nasreen and Pamučar, Dragan and Ide, Nasr Al Din", year = "2022", abstract = "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.", publisher = "Hindawi Ltd, London", journal = "Advances in Mathematical Physics", title = "A New Type-3 Fuzzy PID for Energy Management in Microgrids", volume = "2022", doi = "10.1155/2022/8737448", url = "conv_2804" }
Fan, W., Mohammadzadeh, A., Kausar, N., Pamučar, D.,& Ide, N. A. D.. (2022). A New Type-3 Fuzzy PID for Energy Management in Microgrids. in Advances in Mathematical Physics Hindawi Ltd, London., 2022. https://doi.org/10.1155/2022/8737448 conv_2804
Fan W, Mohammadzadeh A, Kausar N, Pamučar D, Ide NAD. A New Type-3 Fuzzy PID for Energy Management in Microgrids. in Advances in Mathematical Physics. 2022;2022. doi:10.1155/2022/8737448 conv_2804 .
Fan, Weiping, Mohammadzadeh, Ardashir, Kausar, Nasreen, Pamučar, Dragan, Ide, Nasr Al Din, "A New Type-3 Fuzzy PID for Energy Management in Microgrids" in Advances in Mathematical Physics, 2022 (2022), https://doi.org/10.1155/2022/8737448 ., conv_2804 .