Abstract

The power output of the solar panels follows a power-voltage (P-V) characteristic containing only one Global Maximum Point (GMP) in the normal conditions. However, under Partial Shading Conditions (PSC), the unbalanced irradiance in the panels creates Local Maximum Points (LMP) in the P-V curve. Standard control techniques for Maximum Power Point Tracking (MPPT) can not properly locate the GMP, stagnating in LMPs and generating losses in the energy harvesting. Specific techniques to locate the GMP are presented in the literature. However, the condition to restart the GMP is not widely discussed. The main challenges of global search algorithms are related to the restarting conditions. Avoiding unnecessary searching and providing an assertive GMP restarting condition is crucial for PV systems operation. In every GMP search, the solar inverters oscillate the power exchanged with the grid, causing frequency and voltage variations depending on the size of the PV plant. This paper proposes a novel technique that uses a centralized controller to identify the shaded inverters, creating flags that locally start the GMP searching. The solution minimizes the number of times the search is performed by providing an assertive GMP restarting condition, saving energy, and avoiding unnecessary output power oscillation. The proposed control technique was evaluated using the data of a real 150-kW solar farm containing five inverters with two MPPT trackers each.

Highlights

  • PV farms consist of numerous solar panels with seriesparallel connections based on the required power

  • Providing a novel algorithm based on statistical analysis to detect shading conditions in solar panels and create shading flags to be integrated with the GMPPT techniques

  • The conventional Perturb and Observe (P&O) has a simple structure, and it is easy to implement its conventional method for tracking the Maximum Power Point Tracking (MPPT), which has been extensively used for PV applications

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Summary

MOTIVATION AND INCITEMENT

Several benefits of Renewable Energy Sources (RESs), such as zero CO2 emission, sustainability, increasing resilience, etc., make these resources a motivating option for replacing fossil fuels. Among those resources, solar energy has the most potential to be considered a trustworthy choice for electric power systems [1]–[3]. PSCs affect the Maximum Power Point (MPP) of Solar PV systems. During the PSCs, some panels receive different values of irradiance, which affects the Maximum Power Point Tracker (MPPT) performance [4]–[7]. Content may change prior to final publication.

LITERATURE REVIEW
RESEARCH GAP
CONTRIBUTION AND PAPER ORGANIZATION
SOLAR POWER GENERATION
PV EQUATIONS AND MODEL
DC-DC AND DC-AC CONVERTERS
SHADING AND PARTIAL SHADING
MPPT AND GLOBAL SEARCHING ALGORITHMS
CONVENTIONAL P&O MPPT
OD P&O
OD PSO MPPT ALGORITHM
CHALLENGES ON GLOBAL SEARCH ALGORITHMS
RESTART CONDITION
POWER LOSS AND OSCILLATION
SOLUTION NECESSITY
PROPOSED TOPOLOGY FOR GMPP SEARCHING RESTART CONDITION
CENTRAL CONTROLLER TOPOLOGY
SHADING DETECTION ALGORITHM
DATA COLLECTION
RESULTS AND DEPLOYMENT DISCUSSION
VIII. CONCLUSION
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