Photovoltaic System Enhancing Power Quality of Electrical Network

Bouali, Chaabane; Marouani, Rym; Schulte, Horst; Mami, Abdelkader

doi:10.15866/irecon.v7i1.16085

“…Among the methods based on the gradient descent approach, we cite the Newton-Raphson method (NRM) [1][2][3][4]8,11,[23][24][25][26][27][28][29]. This method was formulated around an iterative calculation for solving a multivariable system of nonlinear equations (NLNRM).…”

Section: Main Idea Of the Discrete Symbiotic Organisms Search (Dsos)mentioning

confidence: 99%

“…To identify the intrinsic parameter of the vectors ϕ = I 0 , I ph , n, R s , R sh for the SDM, it is described using Equation (1) or ϕ = I 01 , I 02 , I ph , n 1 , n 2 , R s , R sh For the DDM, it was described using Equation 13, and we fitted the best model described by either Equation (1) or Equation (13) to the experimental data V = g(I). Through minimization of the squared error of the theoretical and experimental curves, we defined an objective function (OF) that evaluated the degree of correspondence between the estimated and calculated parameters as a sum of the squared errors (SSE), which is given by:…”

Section: Parameter Optimization Problem For Sdm and Ddmmentioning

confidence: 99%

“…In Africa, where water resources are limited, people pump water using energy from photovoltaic systems. In addition, many telecommunications base stations that are far from urban areas, or that are located on mountains and along highways, are supplied by photovoltaic energy [1]. Therefore, by using cheap photovoltaic energy to power communications systems, for example, this may help to reduce the likelihood-or keep users informed-of a situation like a forest fire.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A High Performance Optimizing Method for Modeling Photovoltaic Cells and Modules Array Based on Discrete Symbiosis Organism Search

Bouali

¹

,

Schulte

²

,

Mami

³

2019

Self Cite

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Exact models are a necessary prerequisite for optimal hardware configuration and the design of high-performance controllers. The photovoltaic system is considered a dynamic nonlinear multimodal system, where an optimization method must be used to resolve non-linearity and to identify the parameters describing the models of such systems. This has incited several researchers to work on and to develop several optimization methods. Recently, a number of methods have been proposed, including deterministic approaches, as well as probabilistic and stochastic numerical approaches, that aimed at obtaining a more accurate model for the PV cell and module array. This paper demonstrates the application of a performance optimization method based on discrete symbiotic organism search (DSOS), that mimics the behaviors of an organism in an ecosystem to survive. The high performance of such a method is attributable to the simplicity of the algorithm used; this algorithm is different from other heuristic algorithms, in that the GA needs two tuning parameters, i.e., the cross over and mutation rate, while the harmony search needs three rules to adjust and improvise new harmony, being memory consideration, pitch adjustment, and random choosing. Meanwhile, in the ABC algorithm, three phases are introduced to find the best food source, that is, the employed bee, the onlooker bee, and the scout bee phases, while the DSOS algorithm did not need any tuning parameters, wherein the proposed algorithm was used in both a single diode and double diode model across three test cases in the study. Compared to other previously published works, the level of performance of the algorithm is high in both implementation and accuracy; the DSOS algorithm is more capable of reaching the best set of solutions. The Mann-Whitney-Wilcoxon test to evaluate the discrete solutions of the algorithm for multiple runs with a 5% degree of confidence was evaluated and performed with a good level of accuracy.

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“…The photovoltaic systems can improve the power quality in microgrids in order to increase the reliability. For instance, in [34] there is a proposal about the implementation of an active power filter with a DC/DC converter; specifically, the simulations show the improvements in the mitigation of harmonics. Microgrids in rural areas have a potential to supply power in rural areas.…”

mentioning

confidence: 99%

Transient Stability Improvement Using Coordinated Control of Solar PVs and Solid State Transformers

Khemmook

¹

,

Khomfoi

²

2018

IREE

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A key motivator for wider deployment of microgrids (small electric networks with distributed generation connected that operate either connected at low and medium voltage levels or isolated mode) is to bring about the decentralization of the generation. This goal is because microgrids use renewable power sources and storage energy systems. However, the microgrids operation represents various challenges for grid-connected microgrids about the power interchanges with the distribution network. If the operation is performed under optimal conditions, there are benefits for microgrid investment. This paper proposes a detailed formulation to operate microgrids with photovoltaic systems and storage. The model can be used with multiple microgrids interconnected considering electricity prices and tariffs. The model corresponds to an optimal power flow approach for microgrids considering some energy storage systems. The mathematical model considers explicitly electricity tariffs. Illustrative results indicate the optimal operation of microgrids considering a load curve; specifically, the microgrid is designed to operate at different operational circumstances. A case includes multiple microgrids interconnected at different electricity prices. The electricity tariffs determine the power interchanges between the distribution network and the microgrid. Such insights about the optimal operation of microgrids provide a wide range of applications, particularly in operation and feasibility of projects.

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Optimal Operation of Grid-Connected Microgrids with Photovoltaic Generation and Storage

Jamaica-Obregón

¹

,

Moreno‐Chuquen

²

,

Florez-Cediel

³

2021

IREE

3

0

View full text Add to dashboard Cite

A key motivator for wider deployment of microgrids (small electric networks with distributed generation connected that operate either connected at low and medium voltage levels or isolated mode) is to bring about the decentralization of the generation. This goal is because microgrids use renewable power sources and storage energy systems. However, the microgrids operation represents various challenges for grid-connected microgrids about the power interchanges with the distribution network. If the operation is performed under optimal conditions, there are benefits for microgrid investment. This paper proposes a detailed formulation to operate microgrids with photovoltaic systems and storage. The model can be used with multiple microgrids interconnected considering electricity prices and tariffs. The model corresponds to an optimal power flow approach for microgrids considering some energy storage systems. The mathematical model considers explicitly electricity tariffs. Illustrative results indicate the optimal operation of microgrids considering a load curve; specifically, the microgrid is designed to operate at different operational circumstances. A case includes multiple microgrids interconnected at different electricity prices. The electricity tariffs determine the power interchanges between the distribution network and the microgrid. Such insights about the optimal operation of microgrids provide a wide range of applications, particularly in operation and feasibility of projects.

show abstract

Photovoltaic System Enhancing Power Quality of Electrical Network

Cited by 4 publications

References 0 publications

A High Performance Optimizing Method for Modeling Photovoltaic Cells and Modules Array Based on Discrete Symbiosis Organism Search

A High Performance Optimizing Method for Modeling Photovoltaic Cells and Modules Array Based on Discrete Symbiosis Organism Search

Transient Stability Improvement Using Coordinated Control of Solar PVs and Solid State Transformers

Optimal Operation of Grid-Connected Microgrids with Photovoltaic Generation and Storage

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