Experimental analysis of impact of MPPT methods on energy efficiency for photovoltaic power systems

Houssamo, Issam; Locment, Fabrice; Sechilariu, Manuela

doi:10.1016/j.ijepes.2012.10.048

Cited by 109 publications

(52 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Then this value is anti-normalized to be ∆u by K s . Several defuzzification operators are mentioned in [19]; however, the most used operator is the centroid, or center of gravity, which is chosen in this study, such as the implemented methods mentioned above. Figure 10 presents the experimental results of fuzzy logic method under the same operating condition as presented in Figures 7 and 8.…”

Section: Variable Step-size With Fuzzy Logicmentioning

confidence: 99%

Integrated Control for Small Power Wind Generator

2018

Self Cite

View full text Add to dashboard Cite

Abstract:The control strategies of the small power wind generator are usually divided into the maximum power point tracking (MPPT) case, which requires the wind generator produce power as much as possible, and the power limited control (PLC) case that demands the wind generator produce a power level following the load requirement. Integration of these two operating cases responding to flexible and sophisticated power demands is the main topic of this article. A small power wind generator including the sluggish mechanical dynamic phenomenon, which uses the permanent magnet synchronous generator, is introduced to validate different control methods integrating MPPT and PLC cases and based on hysteresis control. It is a matter of an indirect power control method derived from three direct methods following perturb and observe principle as well as from a look-up table. To analyze and compare the proposed power control methods, which are implemented into an emulator of a small power wind generator, a power demand profile is used. This profile is randomly generated based on measured rapid wind velocity data. Analyzing experimental results, from the power viewpoint, all proposed methods reveal steady-state error with big amount of peak resulting from the nature of perturb and observe.

show abstract

Section: Variable Step-size With Fuzzy Logicmentioning

confidence: 99%

Integrated Control for Small Power Wind Generator

2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, for stringent cases, a limited PVA power control could also be applied. In this work, when a MPPT control is required, the well-known method "Perturb & Observe" (P&O) is used to extract the maximum power of PVA for any value of solar irradiance and PV cell temperature [32,33]. The evolution of pPVA and iPVA under the solar irradiance g = 1000 W/m 2 and for different PV cell temperatures are shown as simulation results in Figure 4.…”

Section: Photovoltaic Array Modelingmentioning

confidence: 99%

Modeling and Simulation of DC Microgrids for Electric Vehicle Charging Stations

Locment

Sechilariu

2015

Energies

Self Cite

View full text Add to dashboard Cite

This paper focuses on the evaluation of theoretical and numerical aspects related to an original DC microgrid power architecture for efficient charging of plug-in electric vehicles (PEVs). The proposed DC microgrid is based on photovoltaic array (PVA) generation, electrochemical storage, and grid connection; it is assumed that PEVs have a direct access to their DC charger input. As opposed to conventional power architecture designs, the PVA is coupled directly on the DC link without a static converter, which implies no DC voltage stabilization, increasing energy efficiency, and reducing control complexity. Based on a real-time rule-based algorithm, the proposed power management allows self-consumption according to PVA power production and storage constraints, and the public grid is seen only as back-up. The first phase of modeling aims to evaluate the main energy flows within the proposed DC microgrid architecture and to identify the control structure and the power management strategies. For this, an original model is obtained by applying the Energetic Macroscopic Representation formalism, which allows deducing the control design using Maximum Control Structure. The second phase of simulation is based on the numerical characterization of the DC microgrid components and the energy management strategies, which consider the power source requirements, charging times of different PEVs, electrochemical storage ageing, and grid power limitations for injection mode. The simulation results show the validity of the model and the feasibility of the proposed DC microgrid power architecture which presents good performance in terms of total efficiency and simplified control. OPEN ACCESSEnergies 2015, 8 4336

show abstract

“…PV sources are mostly controlled by a maximum power point tracking (MPPT) algorithm [27], but could be controlled to output a limited power [28], if required. The storage system is an electrochemical system that is technically and economically well adapted for a building-integrated microgrid system.…”

Section: Microgrid Control Strategymentioning

confidence: 99%

“…PV sources are supposed to operate with Perturb and Observe algorithm, as MPPT method [27], to produce MPPT power noted…”

Section: Isolated DC Microgrid Controlmentioning

confidence: 99%

Photovoltaic Electricity for Sustainable Building. Efficiency and Energy Cost Reduction for Isolated DC Microgrid

2015

Self Cite

View full text Add to dashboard Cite

Abstract:In the context of sustainable buildings, this paper investigates power flow management for an isolated DC microgrid and focuses on efficiency and energy cost reduction by optimal scheduling. Aiming at high efficiency, the local produced power has to be used where, when, and how it is generated. Thus, based on photovoltaic sources, storage, and a biofuel generator, the proposed DC microgrid is coupled with the DC distribution network of the building. The DC bus distribution maximizes the efficiency of the overall production-consumption system by avoiding some energy conversion losses and absence of reactive power. The isolated DC microgrid aims to minimize the total energy cost and thus, based on forecasting data, a cost function is formulated. Using a mixed integer linear programming optimization, the optimal power flow scheduling is obtained which leads to an optimization-based strategy for real-time power balancing. Three experimental tests, operated under different meteorological conditions, validate the feasibility of the proposed control and demonstrate the problem formulation of minimizing total energy cost.

show abstract

Experimental analysis of impact of MPPT methods on energy efficiency for photovoltaic power systems

Cited by 109 publications

References 18 publications

Integrated Control for Small Power Wind Generator

Integrated Control for Small Power Wind Generator

Modeling and Simulation of DC Microgrids for Electric Vehicle Charging Stations

Photovoltaic Electricity for Sustainable Building. Efficiency and Energy Cost Reduction for Isolated DC Microgrid

Contact Info

Product

Resources

About