Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame Optimization

Abstract

Photovoltaic (PV) models’ parameter extraction with the tested current-voltage values is vital for the optimization, control, and evaluation of the PV systems. To reliably and accurately extract their parameters, this paper presents one improved moths-flames optimization (IMFO) method. In the IMFO, a double flames generation (DFG) strategy is proposed to generate two different types of target flames for guiding the flying of moths. Furthermore, two different update strategies are developed for updating the positions of moths. To greatly balance the exploitation and exploration, we adopt a probability to rationally select one of the two update strategies for each moth at each iteration. The proposed IMFO is used to distinguish the parameter of three test PV models including single diode model (SDM), double diode model (DDM), and PV module model (PMM). The results indicate that, compared with other well-established methods, the proposed IMFO can obtain an extremely promising performance.

A Solution of Implicit Model of Series-Parallel Photovoltaic Arrays by Using Deterministic and Metaheuristic Global Optimization Algorithms

“…Nevertheless, the estimating parameter techniques have been more widely studied for the SDM. Such an issue has been addressed by means of different approaches which can be grouped into: analytical, deterministic and metaheuristic [24,25]. The first two groups present drawbacks concerning accuracy and convergence.…”

“…The first two groups present drawbacks concerning accuracy and convergence. Therefore, metaheuristic algorithms have been introduced as an attractive alternative for estimating the PV cells and modules parameters [25]. Such approaches may include particle swarm optimization [26], genetic algorithms [27], differential evolution [28], cuckoo search [29], among others.…”

Carbon Price Forecasting Based on Multi-Resolution Singular Value Decomposition and Extreme Learning Machine Optimized by the Moth–Flame Optimization Algorithm Considering Energy and Economic Factors

“…If a better position is found, the current optimal position saved in the flame is replaced. When the iterative termination condition is satisfied, the optimal moth position saved in the output flame is the optimal solution for the optimization problem [36].…”

The Comparison of Solar Energy Gaining Effectiveness between Flat Plate Collectors and Evacuated Tube Collectors with Heat Pipe: Case Study

“…In the literature, there were several simulation studies concerning solar energy [40,41] and collectors [42], as well as research evaluations [43]; however, there is a lack of examples of long-term operation in real and non-experimental conditions. The novelty of this paper is in its evaluation of two existing installations.…”