A comparative study of meta-heuristic and conventional optimization techniques of grid connected photovoltaic system

Abstract

This paper presents the meta-heuristic and conventional optimizations techniques for the grid connected photovoltaic solar system. The perturb and observe (P&O) and particle swarm optimization (PSO) algorithms are proposed to track the maximum power point (MPP) of the photovoltaic solar system (PVSS). The regularization of the current supplied into the grid is ensured by the proportional integral (PI) corrector whose parameters are generated by the genetic algorithm (GA). The results of these two MPPT methods are compared and showed that the PSO is more efficient than the P&O. The use of GA algorithm to determine PI parameters allowed to obtain 0.89% of total distortion harmonic (THD).

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].…”

“…Mohanty et al devised the grey wolf optimization in order to gather the greatest amount of electricity from the PV systems while they were partially shaded. The findings of the simulation are analyzed and contrasted with those of the P&O and enhanced particle swarm optimization (PSO) methods [3], [6], [14], [26], [34], [70], [212], [214], [253], [254]. The results of the tests demonstrated that the grey wolf optimization works better than traditional algorithms in terms of tracking speed, ripple content, and extraction efficiency [255].…”

“…These converters include boost, buck-boost, SEPIC, Cuk, Zeta, and Zsource. Calculating the effectiveness of a converter, 𝜂 𝑐𝑜𝑛𝑣𝑒𝑟𝑡𝑒𝑟 requires using the (6). The tracking efficiency may be expressed as a ratio between the power at the panel's terminals and the panel's maximum possible output of power, denoted by 𝑃 𝑝𝑣 max [260].…”

Demand side management in a microgrid to reduce the peak consumption cost

“…Numerous technical obstacles still need to be removed in order to successfully integrate renewable DERs, so that the current reliability levels are not severely impacted, and the potential advantages of distributed generation are fully harnessed. MPPT method provides uplift in the tracking abilities of MPPT and at that time it reduces steady-state oscillations [7]. From this reference, we got that microgrid produces DC voltage we have inverters to convert DC to AC since, household loads are mainly ac loads and it also interlinks the system with the grid, and to get the maximum output of the solar panel we connect a boost converter with MPPT algorithm which redirects the system to operate at maximum power point [8], [9].…”