Integrated energy management converter based on maximum power point tracking for photovoltaic solar system

Abstract

This paper presents an integrated power control system for photovoltaic systems based on maximum power point tracking (MPPT). The architecture presented in this paper is designed to extract more power from photovoltaic panels under different partial obscuring conditions. To control the MPPT block, the integrated system used the ripple correlation control algorithm (RCC), as well as a high-efficiency synchronous direct current (DC-DC) boost power converter. Using 180 nm complementary metal-oxide-semiconductor (CMOS) technology, the proposed MPPT was designed, simulated, and layout in virtuoso cadence. The system is attached to a two-cell in series that generates a 5.2 V average output voltage, 656.6 mA average output current, and power efficiency of 95%. The final design occupies only 1.68 mm2.

A study of power management approach in a grid connected hybrid renewable generation system

“…The mathematical model of a PV module has been referred from [28]. The MPPT algorithm is utilized to suggest the highest amount of power from a PV system using improved P&O method [29]. The equations from the article [28]- [30] were used to plot the PV system.…”

Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review

“…Solar tracking is the traditional way that is utilized to get the most out of the energy that is collected [156] [157]. One other approach that may be taken to get maximum power is called MPPT [6]- [8], [11], [12], [15], [19], [27], [28], [35], [41], [42], [48], [51], [52], [57], [62], [64]- [66], [69]- [71], [74], [77], [80], [82], [83], [85], [89], [90], [93], [95], [96], [98], [106], [108], [112], [113], [158]- [245]. The MPP can be detected with the use of an MPPT algorithm that is placed on the microcontroller [246].…”

“…Numerous methods are utilized on a regular basis to accomplish the task of tracking maximum power point in PV systems [185]. These methods include hill-climbing, perturbation and observation (P&O), look-up table, incremental conductance (Inc-Cond), linearization-based, DC-link capacitor droop control, curve fitting, extremum seeking control, feedback voltage or current, feedback of power variation with voltage, feedback of power variation with current, firefly algorithm, fractional open-circuit voltage (FOCV), fractional short-circuit current (FSCI), artificial neural network (ANN), fuzzy logic, genetic algorithm, particle swarm optimization (PSO), ant colony based optimization, one cycle control (OCC), ripple correlation control (RCC), parasitic capacitance, and slidingmode [6]- [8], [11], [12], [15], [19], [27], [28], [35], [41], [42], [48], [51], [52], [57], [62], [64]- [66], [69]- [71], [74], [77], [80], [82], [83], [85], [89], [90], [93], [95], [96], [98], [106], [108], [112], [113], [158]- [245].…”

“…This converter enables a direct connection between the solar panel and the grid's neutral wire. The incremental conductance MPPT algorithm governs the duty cycle, D. The equation for voltage gain, Vo/Vi, is provided by (8).…”

A self-startup DC-DC boost converter for thermal energy harvesting in a 0.35 μm CMOS process

“…A lot of research and development is in progress on micro-energy harvesting technology to drive low-power electronic systems by harvesting energy from the environment. Compared to the technology using light energy [1]- [6] or vibration energy [7]- [11], the technology using thermal energy [12]- [22] is somewhat slow in research and development due to the technical difficulty that the voltage level extracted from a thermal energy transducer is small. However, since the thermal energy is suitable for application to living organisms including humans, it is possible to create a variety of application fields such as health care systems.…”