Robust Maximum Power Tracking Control of Uncertain Photovoltaic Systems: A Unified T-S Fuzzy Model-Based Approach

Abstract

This paper presents a unified T-S fuzzy model-based maximum power control approach to enhance the efficiency and robustness of the solar photovoltaic (PV) power generation. First, the maximum-power-voltage-based control scheme and direct maximum power control scheme are introduced for the maximum power point tracking (MPPT). By using T-S fuzzy model representation, the two MPPT control schemes are formulated to an output tracking control problem in a unified form. Then, the T-S fuzzy observer and controller are developed to achieve asymptotic MPPT for uncertain PV power systems, where the controller and observer gains are able to be separately solved from novel linear matrix inequality formulation. Furthermore, the MPPT robustness is also discussed in the presence of rapidly changing atmosphere and external disturbances. Different from the traditional MPPT approaches, the proposed T-S fuzzy controller does not require searching the maximum power operational point and using coordinate transformation. All the buck, boost, or buck-boost converters can be used to achieve MPPT in the same control method. Finally, the satisfactory performance is shown from the simulation and experimental results.Index Terms-Maximum power point tracking (MPPT), PV system, T-S fuzzy model, uncertainty.

Multiple Fault Location in a Photovoltaic Array Using Bidirectional Hetero-Associative Memory Network in Micro-distribution Systems

“…In Taiwan's subtropical outdoor environment, the average solar radiation and temperature are approximately 0.20 -0.80 kW/m 2 and 30 -40°C, respectively, during the summer season. For various radiation and temperature values, the MPPT algorithm [1][2][3][18][19] can be employed to control the DC-DC boost converter until the desired MOP and output voltage is reached. In this study, an ICM based method [1,3] is used to estimate the desired output and adjust the boost converter's duty ratio to match the maximum point.…”

“…(1) S e r i e s : (2) where I L is the grid rated load current; parameter, a, is the environment modified factor, and a = 7.8-9.0 in Taiwan;  is the output effectiveness; V q is the rated voltage per PV panel, V q = 12 or 24 voltage; and s is the number of PV panels in a series. Thus, the output power can be increased, as…”

“…A MPPT algorithm, such as the incremental conductance method (ICM) [1][2] or ICM based method [3], is used . .…”

“…PV energy conversion systems use a solar tracking system with maximum power point tracking (MPPT) methods to improve output performance and battery charge solutions [1][2][3]. There are different sized PV systems, ranging from small, rooftop, or building-integrated systems with capacities > 10 kilowatts to those with capacities of > 100's of megawatts in concentrated solar, heating/ cooling systems, and home power supplies.…”

Sliding-Mode Controller for Maximum Power Point Tracking in Grid-Connected Photovoltaic Systems

“…The main advantages of those solutions are the low cost and implementation simplicity since they only require a single (voltage or current) sensor [9,10]; But their efficiency is low compared with the P & O and IC algorithms. In contrasts, techniques based on computational intelligence, such as neural networks and fuzzy logic, offer speed and efficiency in tracking the MPP [11][12][13]; however its complexity and implementation costs are high compared with the P & O and IC algorithms, which make them costly solutions.…”