A novel benchmark shading pattern for PV maximum power point trackers evaluation

•Problems and solutions of MPPT of PV systems incorporating metahuristic optimization algorithms.•Improving the limitations involoved in the existing solutions of the MPPT of PV systems.•The benchmark shading patterns (BSP) that contain most of the important challenges that may occur in partially sh...

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Vydáno v:Solar energy Ročník 263; s. 111897
Hlavní autor: Eltamaly, Ali M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.10.2023
Témata:
Benchmark shading patterns
Global peak
Local peaks
Metaheuristic optimization algorithms
MPPT
PV systems
Metaheuristic optimization algorithms
PV systems
MPPT
FI
Local peaks
MSGPV
PV
RTI
InCon
SCSP
SPSA
CRSS
MOAs
SC
Benchmark shading patterns
GCP_LP
RBPT
FSA
RSAP
IPSA
Global peak
SP
BSP
GWO
SS
SSA
USGP
PSC
GP
PSO
LPs
ODDC
CT
SST
OCP
BA
ISSN:0038-092X, 1471-1257
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Shrnutí:•Problems and solutions of MPPT of PV systems incorporating metahuristic optimization algorithms.•Improving the limitations involoved in the existing solutions of the MPPT of PV systems.•The benchmark shading patterns (BSP) that contain most of the important challenges that may occur in partially shaded PV systems.•The problem of stagnation of search agents within a certain LP due to slow change in PSC.•A novel flying search agent (FSA) strategy to detect any change in GP position without sacrificing the stability or the ripple contents in the PV system waveforms. Partial shading conditions (PSC) drive the P-V characteristics of the PV system to have multiple local peaks (LPs) and one global peak (GP). Conventional maximum power point tracker (MPPT) techniques may be trapped in one of the LPs and miss the GP, which substantially reduces the efficiency of the PV systems. Metaheuristic optimization algorithms (MOAs) have been widely used recently to avoid this limitation. Although, the robustness of the MOAs in tracking the GP, still they have many challenges that should be overcome. This paper shed light on the most important problems and solutions provided associated with the use of MOAs as an MPPT of PV systems. Moreover, this paper introduced benchmark shading patterns (BSP) that contain most of the important challenges that may occur in the PSC of PV systems. This BSP can be used as an evaluation benchmark for all MPPT techniques. The problem of stagnation of search agents within a certain LP is investigated and solutions are provided and evaluated. A novel flying search agent (FSA) strategy is used to detect any change in GP position without sacrificing the stability or the ripple contents in the PV system waveforms. The proposed FSA sends a search agent to the position of the anticipated peaks and compares its power with the current GP power. If the power generated from the FSA is higher than the current GP, it will move the particles to search around the position of the FSA.
ISSN:0038-092X
1471-1257
DOI:10.1016/j.solener.2023.111897