Design and real time implementation of a novel rule compressed fuzzy logic method for the determination operating point in a photo voltaic system. (1st December 2016)
- Record Type:
- Journal Article
- Title:
- Design and real time implementation of a novel rule compressed fuzzy logic method for the determination operating point in a photo voltaic system. (1st December 2016)
- Main Title:
- Design and real time implementation of a novel rule compressed fuzzy logic method for the determination operating point in a photo voltaic system
- Authors:
- Rajesh, R.
Mabel, M. Carolin - Abstract:
- Abstract: In the PhotoVoltaic (PV) system characteristics, a maximum power operating point exists for each value of solar irradiance. The operating point continuously varies as the solar irradiance vary and therefore tracking of maximum power in PV system is significant. This paper introduces a new rule compressed fuzzy logic method to track optimal power operating point of photovoltaic system under non-uniform irradiance. The method has three-input parameters and a single output parameter. The input parameters are the change in power, the change in voltage and change in duty cycle and the output parameter is the reference current to the converter. With respect to each combination of two input parameters, three set of output rules are developed and then compressed to a single set of rules based on tracking conditions. The step response, analysis under partial shading and with one day solar irradiance data are implemented in Matlab/simulink platform. The method confirms its effectiveness by attaining the optimal power at 2.46s with a low steady state error of 0.35%. The energy capitulation efficiency is obtained as 99.5%. The performance of the proposed method is also evaluated experimentally and its efficiency is proved by comparing with perturb & observe algorithm. Highlights: Proposed a rule compressed fuzzy logic method to track optimal operating point. The method depends on the PV system and converter parameters. Simulation and experimental evaluation carried out andAbstract: In the PhotoVoltaic (PV) system characteristics, a maximum power operating point exists for each value of solar irradiance. The operating point continuously varies as the solar irradiance vary and therefore tracking of maximum power in PV system is significant. This paper introduces a new rule compressed fuzzy logic method to track optimal power operating point of photovoltaic system under non-uniform irradiance. The method has three-input parameters and a single output parameter. The input parameters are the change in power, the change in voltage and change in duty cycle and the output parameter is the reference current to the converter. With respect to each combination of two input parameters, three set of output rules are developed and then compressed to a single set of rules based on tracking conditions. The step response, analysis under partial shading and with one day solar irradiance data are implemented in Matlab/simulink platform. The method confirms its effectiveness by attaining the optimal power at 2.46s with a low steady state error of 0.35%. The energy capitulation efficiency is obtained as 99.5%. The performance of the proposed method is also evaluated experimentally and its efficiency is proved by comparing with perturb & observe algorithm. Highlights: Proposed a rule compressed fuzzy logic method to track optimal operating point. The method depends on the PV system and converter parameters. Simulation and experimental evaluation carried out and compared with P&O algorithm. Proposed method produced increased energy yield and module utilization. … (more)
- Is Part Of:
- Energy. Volume 116:Part 1(2016)
- Journal:
- Energy
- Issue:
- Volume 116:Part 1(2016)
- Issue Display:
- Volume 116, Issue 1, Part 1 (2016)
- Year:
- 2016
- Volume:
- 116
- Issue:
- 1
- Part:
- 1
- Issue Sort Value:
- 2016-0116-0001-0001
- Page Start:
- 140
- Page End:
- 153
- Publication Date:
- 2016-12-01
- Subjects:
- Fuzzy logic -- Rule compression -- PV system -- Non uniform irradiance
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2016.09.068 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 910.xml