Results 1 - 10
of
116
Comparison of photovoltaic array maximum power point tracking techniques
- IEEE Transactions on Energy Conversion
, 2007
"... Abstract—The many different techniques for maximum power point tracking of photovoltaic (PV) arrays are discussed. The tech-niques are taken from the literature dating back to the earliest methods. It is shown that at least 19 distinct methods have been introduced in the literature, with many variat ..."
Abstract
-
Cited by 214 (1 self)
- Add to MetaCart
(Show Context)
Abstract—The many different techniques for maximum power point tracking of photovoltaic (PV) arrays are discussed. The tech-niques are taken from the literature dating back to the earliest methods. It is shown that at least 19 distinct methods have been introduced in the literature, with many variations on implementa-tion. This paper should serve as a convenient reference for future work in PV power generation. Index Terms—Maximum power point tracking (MPPT), photo-voltaic (PV). I.
An adaptive system for optimal solar energy harvesting in wireless sensor network nodes
- in IEEE-Transactions on Circuits and Systems: Part I, Fundamental theory and applications
, 2008
"... Abstract—The success of wireless sensor networks and their pervasive use is somehow constrained by energy supply which, generally provided by batteries, is a finite resource. Energy har-vesting mechanisms must hence be taken into account to grant a long time operational life, with solar energy being ..."
Abstract
-
Cited by 40 (2 self)
- Add to MetaCart
Abstract—The success of wireless sensor networks and their pervasive use is somehow constrained by energy supply which, generally provided by batteries, is a finite resource. Energy har-vesting mechanisms must hence be taken into account to grant a long time operational life, with solar energy being the most inter-esting one in outdoor deployments due to its relatively high power density. In this paper we propose a low-power maximum power point tracker (MPPT) circuit specifically designed for wireless sensor nodes (hence effective, flexible, low cost and power-aware), i.e., a power transferring circuit for optimally conveying solar energy into rechargeable batteries even in not optimal weather conditions. High efficiency is granted by an ad hoc adaptive algorithm which, by keeping the MPPT electronics in its optimal working point, maximizes energy transfer from the solar cell to the batteries. The suggested implementation is particularly effective in critical weather conditions where traditional solutions do not work and is characterized by a flexible enough design for immediately hosting, in a plug in fashion, different solar panels and battery typologies. Index Terms—Adaptive algorithms, maximum power point tracker (MPPT) circuits, power converters, solar energy har-vesting, wireless sensor networks. I.
Maximum power point tracking scheme for PV systems operating under partially shaded conditions,”
- IEEE Trans. Ind. Electron.,
, 2008
"... Abstract-Current-voltage and power-voltage characteristics of large photovoltaic (PV) arrays under partially shaded conditions are characterized by multiple steps and peaks. This makes the tracking of the actual maximum power point (MPP) [global peak (GP)] a difficult task. In addition, most of the ..."
Abstract
-
Cited by 32 (0 self)
- Add to MetaCart
(Show Context)
Abstract-Current-voltage and power-voltage characteristics of large photovoltaic (PV) arrays under partially shaded conditions are characterized by multiple steps and peaks. This makes the tracking of the actual maximum power point (MPP) [global peak (GP)] a difficult task. In addition, most of the existing schemes are unable to extract maximum power from the PV array under these conditions. This paper proposes a novel algorithm to track the global power peak under partially shaded conditions. The formulation of the algorithm is based on several critical observations made out of an extensive study of the PV characteristics and the behavior of the global and local peaks under partially shaded conditions. The proposed algorithm works in conjunction with a dc-dc converter to track the GP. In order to accelerate the tracking speed, a feedforward control scheme for operating the dc-dc converter is also proposed, which uses the reference voltage information from the tracking algorithm to shift the operation toward the MPP. The tracking time with this controller is about one-tenth as compared to a conventional controller. All the observations and conclusions, including simulation and experimental results, are presented. Index Terms-Global peak (GP), maximum power point tracking (MPPT), partial shading, power-voltage (P -V ) characteristics.
Optimized Maximum Power Point Tracker for Fast-Changing Environmental Conditions
- IEEE Trans. Industrial Electronics
, 2008
"... Abstract—This paper presents a high-performance maximum power point tracker (MPPT) optimized for fast cloudy conditions, e.g., rapidly changing irradiation on the photovoltaic panels. The rapidly changing conditions are tracked by an optimized hill– climbing MPPT method called dP-P&O. This algor ..."
Abstract
-
Cited by 26 (0 self)
- Add to MetaCart
(Show Context)
Abstract—This paper presents a high-performance maximum power point tracker (MPPT) optimized for fast cloudy conditions, e.g., rapidly changing irradiation on the photovoltaic panels. The rapidly changing conditions are tracked by an optimized hill– climbing MPPT method called dP-P&O. This algorithm sepa-rates the effects of the irradiation change from the effect of the tracker’s perturbation and uses this information to optimize the tracking according to the irradiation change. The knowledge of the direction of the irradiation change enables the MPPT to use different optimized tracking schemes for the different cases of increasing, decreasing, or steady irradiance. When the irradiance is changing rapidly this strategy leads to faster and better track-ing, while in steady-state conditions it leads to lower oscillations around the MPP. The simulations and experimental results show that the proposed dP-P&O MPPT provides a quick and accurate tracking even in very fast changing environmental conditions. Index Terms—Fast-changing irradiation, maximum power point tracking, photovoltaic, solar. I.
High-performance adaptive perturb and observe MPPT technique for photovoltaic-based microgrids
- IEEE Trans. Power Electron
, 2011
"... Abstract—Solar photovoltaic (PV) energy has witnessed double-digit growth in the past decade. The penetration of PV systems as distributed generators in low-voltage grids has also seen sig-nificant attention. In addition, the need for higher overall grid efficiency and reliability has boosted the in ..."
Abstract
-
Cited by 20 (0 self)
- Add to MetaCart
(Show Context)
Abstract—Solar photovoltaic (PV) energy has witnessed double-digit growth in the past decade. The penetration of PV systems as distributed generators in low-voltage grids has also seen sig-nificant attention. In addition, the need for higher overall grid efficiency and reliability has boosted the interest in the microgrid concept. High-efficiency PV-based microgrids require maximum power point tracking (MPPT) controllers to maximize the har-vested energy due to the nonlinearity in PV module characteris-tics. Perturb and observe (P&O) techniques, although thoroughly investigated in previous research, still suffer from several disadvan-tages, such as sustained oscillation around the MPP, fast tracking versus oscillation tradeoffs, and user predefined constants. In this paper, a modified P&O MPPT technique, applicable for PV sys-tems, is presented. The proposed technique achieves: first, adaptive tracking; second, no steady-state oscillations around the MPP; and lastly, no need for predefined system-dependent constants, hence provides a generic design core. A design example is presented by experimental implementation of the proposed technique. Practical results for the implemented setup at different irradiance levels are illustrated to validate the proposed technique. Index Terms—Maximum power point tracking (MPPT), perturb and observe (P&O), photovoltaic (PV). I.
Design of a solarharvesting circuit for batteryless embedded systems
- IEEE Trans. Circuits Syst. I
, 2009
"... ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other wo ..."
Abstract
-
Cited by 19 (2 self)
- Add to MetaCart
(Show Context)
©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
An improved particle swarm optimization (PSO)-based MPPT for PV with reduced steady-state oscillation
- IEEE Trans. Power Electron
, 2012
"... Abstract—This paper proposes an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm. The main advantage of the method is the reduction of the steady-state oscillation (to practically zero) once the maximum ..."
Abstract
-
Cited by 13 (4 self)
- Add to MetaCart
(Show Context)
Abstract—This paper proposes an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm. The main advantage of the method is the reduction of the steady-state oscillation (to practically zero) once the maximum power point (MPP) is located. Furthermore, the proposed method has the ability to track the MPP for the extreme environmental condition, e.g., large fluctuations of insolation and partial shading condition. The algorithm is simple and can be computed very rapidly; thus, its implementation using a low-cost microcontroller is possible. To evaluate the effectiveness of the proposed method, MATLAB sim-ulations are carried out under very challenging conditions, namely step changes in irradiance, step changes in load, and partial shad-ing of the PV array. Its performance is compared with the con-ventional Hill Climbing (HC) method. Finally, an experimental rig that comprises of a buck–boost converter fed by a custom-designed solar array simulator is set up to emulate the simulation. The soft-ware development is carried out in the Dspace 1104 environment using a TMS320F240 digital signal processor. The superiority of the proposed method over the HC in terms of tracking speed and steady-state oscillations is highlighted by simulation and experi-mental results. Index Terms—Buck–boost converter, Hill Climbing (HC), max-imum power point tracking (MPPT), partial shading, particle swarm optimization (PSO), photovoltaic (PV) system. I.
Parallel-Connected solar PV system to address partial and rapidly fluctuating shadow conditions
- IEEE Trans. Ind. Electron
, 2009
"... Abstract—Solar photovoltaic (PV) arrays in portable applica-tions are often subject to partial shading and rapid fluctuations of shading. In the usual series-connected wiring scheme, the residual energy generated by partially shaded cells either cannot be col-lected (if diode bypassed) or, worse, im ..."
Abstract
-
Cited by 10 (0 self)
- Add to MetaCart
Abstract—Solar photovoltaic (PV) arrays in portable applica-tions are often subject to partial shading and rapid fluctuations of shading. In the usual series-connected wiring scheme, the residual energy generated by partially shaded cells either cannot be col-lected (if diode bypassed) or, worse, impedes collection of power from the remaining fully illuminated cells (if not bypassed). Rapid fluctuation of the shading pattern makes maximum power point (MPP) tracking difficult; generally, there will exist multiple local MPPs, and their values will change as rapidly as does the illumi-nation. In this paper, a portable solar PV system that effectively eliminates both of the aforementioned problems is described and proven. This system is capable of simultaneously maximizing the power generated by every PV cell in the PV panel. The proposed configuration consists of an array of parallel-connected PV cells, a low-input-voltage step-up power converter, and a simple wide
Solarcore: Solar energy driven multi-core architecture power management
- In HPCA
, 2011
"... Abstract ― The global energy crisis and environmental concerns (e.g. global warming) have driven the IT community into the green computing era. Of clean, renewable energy sources, solar power is the most promising. While efforts have been made to improve the performance-per-watt, conventional archit ..."
Abstract
-
Cited by 9 (1 self)
- Add to MetaCart
(Show Context)
Abstract ― The global energy crisis and environmental concerns (e.g. global warming) have driven the IT community into the green computing era. Of clean, renewable energy sources, solar power is the most promising. While efforts have been made to improve the performance-per-watt, conventional architecture power management schemes incur significant solar energy loss since they are largely workload-driven and unaware of the supply-side attributes. Existing solar power harvesting techniques improve the energy utilization but increase the environmental burden and capital investment due to the inclusion of large-scale batteries. Moreover, solar power harvesting itself cannot guarantee high performance without appropriate load adaptation. To this end, we propose SolarCore, a solar energy driven, multi-core architecture power management scheme that combines maximal power provisioning control and workload run-time optimization. Using real-world meteorological data across different geographic sites and seasons, we show that SolarCore is capable of achieving the optimal operation condition (e.g. maximal power point) of solar panels autonomously under various environmental conditions with a high green energy utilization of 82 % on average. We propose efficient heuristics for allocating the time varying solar power across multiple cores and our algorithm can further improve the workload performance by 10.8 % compared with that of round-robin adaptation, and at least 43 % compared with that of conventional fixed-power budget control. This paper makes the first step on maximally reducing the carbon footprint of computing systems through the usage of renewable energy sources. We expect that the novel joint optimization techniques proposed in this paper will contribute to building a truly sustainable, high-performance computing environment. 1.
An improved maximum power point tracking for photovoltaic grid-connected inverter based on voltage-oriented control
- IEEE Transactions on Industrial Electronics
, 2011
"... All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
Abstract
-
Cited by 8 (1 self)
- Add to MetaCart
All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.