Grid integrated photovoltaic system with fuzzy based maximum power point tracking control along with harmonic elimination

Abstract

Efficient extraction and conversion of solar power is an important research area in the field of renewable energy integration. Although, literature is enriched with different power extraction, conversion, and harmonics elimination techniques but still there are problems of maximum power point tracking (MPPT) under partial shading conditions, photovoltaic (PV) mismatching, power fluctuation in steady‐state condition, and higher total harmonic distortion (THD) value. The article has two manifolds. First, it proposes a fuzzy embedded MPPT controller to extract the maximum available PV power under time‐varying environmental conditions. For that, it utilizes seven linguistic variables and fuzzy sets along with 49 rules base to have reduced power fluctuation and power losses in a steady‐state condition, and fast tracking under time‐varying temperature and solar irradiance condition. The performance of the proposed fuzzy‐logic control (FLC)‐49 rules base is compared with FLC‐25 rules and perturb & observe based MPPT controllers. Second, for fulfilling the load demands with lower switching losses and THD, particle swarm optimization (PSO) based selective harmonic elimination (SHE) technique is applied on a cascaded half‐bridge multilevel inverter. SHE technique utilizes switching angles, which are found by solving the nonlinear transcendental equations obtained by Fourier series expansion of stepped output voltage waveform. For that, the proposed research preferred meta‐heuristic techniques of PSO over the classical techniques because of their high convergence rate, short run time, less complexity, and ability to obtain lower THD.

An intelligent technique for optimal power quality reinforcement in a grid‐connected HRES system: EVORFA technique

“…By the suggested inverter can minimize the output side total harmonic distortion, also raising the voltage level of the output along power quality system. Mehmood et al 37 have proclaimed two approaches. (a) A fuzzy enclosed MPPT controller to extract the maximal accessible photovoltaic power subject to time‐vary environmental stages.…”

Power conversion in a grid‐connected residential PV system with energy storage using fuzzy‐logic controls

“…Several MPPT methods could be used; for instance, the incremental conductance method, 21 the perturb & observe algorithm, 22 or the fuzzy based MPPT method. 7 The boost converter has the configuration depicted in Figure 2. The selection of values for the components have been described.…”

“…The boost converter performs maximum power point tracking (MPPT) to track the operation of the PV within the region of maximum power generation. Several MPPT methods could be used; for instance, the incremental conductance method, 21 the perturb & observe algorithm, 22 or the fuzzy based MPPT method 7 …”

“…The fuzzy‐logic control has been employed as a maximum power point tracking tool 4‐7 . A fuzzy controller was used as a tool for power management in the stand‐alone PV power system 5 .…”

“…The fuzzy-logic control has been employed as a maximum power point tracking tool. [4][5][6][7] A fuzzy controller was used as a tool for power management in the stand-alone PV power system. 5 In a residential water supply system, 8 a fuzzylogic controller has been implemented to achieve energy saving, increased reliability, cost effectiveness, and improved system efficiency.…”