Differential Power Processing Architecture Research Articles

Novel differential power processing technique for uneven partial shading mitigation in PV systems

Photovoltaic (PV) system output power greatly depends on environmental operating conditions. Partial shaded condition (PSC) operates PV string under mismatch. PV module mismatch has been one of the major causes for reduced amount of output power. Maximizing the amount of energy extraction from PV system under mismatch greatly influenced by conversion efficiency as well as the mismatch mitigation topology used. Differential power processing (DPP) is one of the advanced techniques to deal with mismatch conditions and enhance power output from a PV system. In this paper hybrid modular DPP topology is presented. The proposed technique mitigates the effect of mismatches at submodule and enhance power extraction from PV string. Since in majority shading on a PV module is nonuniform. The conversion efficiency of module level DPP shading mitigation techniques enhanced using submodule level DPP architecture. To demonstrate its applicability simulation study is carried out in MATLAB Simulink and results are compared with traditional bypass method and module level DPP. Simulation results showed the reduction in mismatch loss and improvement in efficiency and power output.

A Modular Differential Power Processing Converter Design with Simplified Voltage Equalization for Photovoltaic Systems

Partial shading in series-connected photovoltaic (PV) systems poses a significant challenge as it considerably restricts the system’s output power and has a notable impact on the overall efficiency. Differential power processing (DPP) has emerged as a widely employed solution to mitigate this effect. However, implementing DPP architectures introduces challenges such as system cost, reliability, control implementation, and modularity. This research proposes a simplified voltage equalization (VE) algorithm, executed on a low-cost and modular DPP architecture using bi-directional flyback converters. Notably, under light and moderate partial shading conditions, the PV system’s output power exhibits a significant increase compared to the traditional string configuration with bypass diodes. To further optimize the system performance, a methodology adapted to the VE algorithm is suggested, minimizing the processed power while increasing overall efficiency. The proposed solutions have undergone rigorous testing through simulations and experiments. The results validate that, under moderate shading conditions, the system efficiency reaches approximately 90%.

Differential power processing architecture to increase energy harvesting of photovoltaic systems under permanent mismatch

Differential power processing (DPP) architectures are a prominent solution for mitigating undesirable issues caused by mismatch that often occurs in photovoltaic (PV) strings. In this scenario, the association of DPP converters in parallel with PV strings is a common approach for enhancing energy harvesting. However, most topologies presented so far focus on temporary mismatch caused by partial shading conditions only, with little attention given to permanent mismatch due to the connection of modules with distinct ratings. Given the above, this article presents a novel DPP topology capable of handling both temporary and permanent mismatch in PV strings. Important advantages include lower component count; reduced voltage stresses on the active switches; operation under zero-current switching (ZCS) condition, with a direct impact on the converter efficiency; and greater design flexibility in terms of a modular solution that can be implemented at the PV module level. Experimental tests on a string composed of six modules are presented and the results are thoroughly discussed to validate the theoretical assumptions. It is effectively demonstrated that the architecture allows for increasing the power extracted from the string under two severe operating conditions.

Classification of Differential Power Processing Architectures Based on VA Area Modeling

This article reviews and classifies the representative types of “differential power processing (DPP)” architectures, focusing on the aspect of how the processed power is reduced with DPP. Comparing with existing review works on this topic, this article provides new viewpoints from three perspectives. First, the differential power <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${P}_{{\text {diff}}}$ </tex-math></inline-formula> at both architecture level and converter level is discussed. For the calculation of the total processed power in a power architecture, instead of summing up the output power <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${P}_{{\text {out}}}$ </tex-math></inline-formula> delivered by the DPP converters, we account for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${P}_{{\text {diff}}}$ </tex-math></inline-formula> inside the DPP converters because direct power exists not only at the architecture level but also at the converter level, and thus, the power processed in a converter may be lower than <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${P}_{{\text {out}}}$ </tex-math></inline-formula> . Second, the VA area modeling is applied to the DPP architectures to illustrate and visualize the processed power in the power architectures and converters, thus analyzing and comparing them at high level. Finally, the processed power of different DPP architectures is compared quantitatively with statistical analysis for varied operating situations.

Power-Rating Balance Control and Reliability Enhancement in Mismatched Photovoltaic Differential Power Processing Systems

With the increase of the component number, the power stress distribution among differential power processing (DPP) converters, control implementation, system cost, and reliability become the most challenging issues for a practical photovoltaic (PV) DPP system. This article introduces an improved power-rating balance (IPRB) control for the PV-to-bus based DPP architecture that ensures each PV submodule operate at its true maximum power point (MPP) while achieving more balanced power stress distribution and higher reliability. Specifically, a submodule-level finite-state-machine-based MPP tracking is implemented to guarantee always maximum power yield, whereas a string-level power-rating balancing (PRB) control is adopted to balance the unit-maximum proceeded power by DPP converters based on the built power flow model with respect to the string current. A comprehensive comparison of advanced control strategies for PV-to-bus DPP architectures, including least power point tracking, voltage equalization (VE) based PRB control, and the proposed IPRB, has been carried out with the mission-profile-based reliability assessment under different partial shading scenarios. Component-failure-rate-based reliability analysis shows that the PV-to-bus DPP architecture with the proposed IPRB control can significantly improve the system reliability. Main simulation and experimental evaluations are carried out to verify the effectiveness of the proposed control.

Switched Capacitor-Based Modular Differential Power Processing Architecture for Large-Scale Photovoltaic Systems Under Partial Shading

Differential power processing (DPP) converters have been developed for photovoltaic (PV) panels to preclude energy yield reduction due to partial shading. In large-scale PV systems comprising numerous series-connected panels, DPP converters with good modularity are preferable because the number of series-connected panels varies depending on applications. This paper proposes a switched capacitor converter (SCC)-based modular DPP architecture for large-scale PV systems. Four panels are grouped as a module, each having a panel-level DPP converter, and modules are connected in series to form a string. The design of the panel-level DPP converter is fixed while the system can be arbitrarily extended by stacking modules, achieving good modularity. Adjacent panel-level DPP converters are dc-coupled, by which modules can be connected using long cables, mitigating installation limitations. The experimental results of the laboratory and field testing demonstrated the enhanced power generation by 10%20%, depending on shading conditions.

Stochastic Power Loss Analysis of Differential Power Processing

This article presents stochastic power loss analysis for differential power processing (DPP). A stochastic model is developed to analyze power loss scaling in a DPP system based on probability distributions of loads or sources. Scaling factors are introduced to describe how losses change with DPP system size and load or source power variance. Expected power losses of representative DPP topologies are analyzed and compared to losses of a conventional dc–dc converter with the same total switch die area and magnetic volume. The results quantify performance trends of DPP architectures. Models and scaling factors are verified with SPICE simulations and experimental results. The analytical framework, scaling factors, and quantitative models provide useful guidelines for designing large-scale DPP systems. This article is accompanied by a video file demonstrating the modeling procedures and the experimental setup.

Reconfigurable Distributed Power Electronics Technique for Solar PV Systems

A reconfiguration technique using a switched-capacitor (SC)-based voltage equalizer differential power processing (DPP) concept is proposed in this paper for photovoltaic (PV) systems at a cell/subpanel/panel-level. The proposed active diffusion charge redistribution (ADCR) architecture increases the energy yield during mismatch and adds a voltage boosting capability to the PV system under no mismatch by connected the available PV cells/panels in series. The technique performs a reconfiguration by measuring the PV cell/panel voltages and their irradiances. The power balancing is achieved by charge redistribution through SC under mismatch conditions, e.g., partial shading. Moreover, PV cells/panels remain in series under no mismatch. Overall, this paper analyzes, simulates, and evaluates the effectiveness of the proposed DPP architecture through a simulation-based model prepared in PSIM. Additionally, the effectiveness is also demonstrated by comparing it with existing conventional DPP and traditional bypass diode architecture.

A Novel Differential Power Processing Architecture for a Partially Shaded PV String Using Distributed Control

This article proposes a differential power processing (DPP) configuration applied to a series photovoltaic (PV) string. The proposed configuration operates each PV element at its local maximum power point (MPP) while processing only a small portion of its total generated power through the modular-integrated converters. The current processed through each converter is the difference between the local PV element MPP current and the local PV string current. This leads to higher energy capture at an increased conversion efficiency while overcoming the difficulties associated with unmatched MPPs that result from partial shading, temperature gradients, manufacturing defects, and nonuniform cells aging. A state-space model of the proposed system is driven, and a comparative analysis is carried out with respect to the conventional DPP architectures. Additionally, modular and compact design is proposed for a large number of PV panels in a series PV string. The authors designed and built a hardware prototype for three PV panels connected in series to validate the proposed configuration effectiveness and experimentally demonstrate its robustness.

Differential Power Processing Architecture With Virtual Port Connected in Series and MPPT in Submodule Level

Differential power processing (DPP) architectures have attracted lots of research interests in recent years to deal with mismatch problem in residential photovoltaic (PV) systems. However, conventional DPP structures may face hardware cost and efficiency challenge when the PV string is long. This paper proposes an improved DPP structure with a virtual port connected in series with the submodule string. Compared with conventional DPP solutions, the proposed structure not only reduces current stress but also has high system efficiency when the number of PV panels increase. Besides, installation requirement is simplified. Furthermore, a single loop control method is proposed with only one current sensor to reduce hardware cost. Distributed maximum power point tracking (dMPPT) in submodule level is realized. Finally, a 300W prototype is built and experimental results verify the proposed structure.

Power rating analysis and protection for photovoltaic-isolated port based differential power processing systems

In a photovoltaic generation system (PGS), photovoltaic (PV) modules are often connected in series for increased string voltage. However, a significant reduction in the actual output power is observed due to the manufacturing tolerance, module aging and partial shaded. Compared with conventional methods such as bypass diodes and PV module reconfiguration, modular distributed architecture especially the differential power processing (DPP) is able to yield high output power even under partial shading conditions. Moreover, the system efficiency is improved since only the differential power is processed by the DPP converters. This paper mainly focuses on the power rating analysis and protection of PV-isolated Port (PV-IP) based DPP systems considering the significant power stress difference among DPP converters under different partial shading conditions. The voltage equalization (VE) control used in this work is able to provide up to 77% efficiency improvement through the simulation evaluation. The protection algorithm is proposed for the PV-IP DPP architecture to improve the system reliability even when some DPP converters are found failed. With the proposed protection strategy, not only the high output power yield can be maintained, but also the modular design of DPP converters with smaller power capacity can be achieved. Simulation and indoor experimental tests under various partial shading conditions were carried out to validate the effectiveness of the proposed power rating analysis and protection scheme.

태양광 전력설비의 효율 향상을 위한 피드포워드 차동전력조절기(DPP)의 적용 검증

Differential power processing (DPP) is a power facility architecture that configures dc - dc converters in parallel with the PV string to improve its power yield. The parallel nature of the DPP architecture brings a number of benefits, such as low converter power rating and low power losses. In this paper, feedfoward DPP structure is applied to improve the efficiency of photovoltaic(PV) power facility. DPP structure is considered to a solution to problems were caused by solar irradiance mismatch. The effectiveness of DPP struture is confirmed by comparing module integrated converter (MIC) structure. Experiments and simulation with feedforward structure using a DSP(TMS320F28335) hardware design were conducted and the improvement in performance with DPP converters was experimentally confirmed.

Modularized Differential Power Processing Architecture Based on Switched Capacitor Converter to Virtually Unify Mismatched Photovoltaic Panel Characteristics

Photovoltaic (PV) strings consisting of multiple panels suffer from partial shading or characteristic mismatch issues, such as a significant reduction in power yield. Various kinds of differential power processing (DPP) converters have been developed to prevent the negative impacts of substring-level partial shading. For panel-level applications, however, conventional DPP converters face a variety of challenges, such as impaired extendibility and increased voltage stress of circuit elements. This paper proposes a switched capacitor converter (SCC)-based modular DPP architecture. Modules, each containing series-connected panels with a panel-level DPP converter, are connected through a switchless module-level DPP converter, and PV panel characteristics are unified at module- and panel-levels. The number of panels in each module is fixed, while the number of modules can be arbitrarily extended without redesigning DPP converters, hence offering good modularity. In addition, since voltage stresses of capacitors in the proposed architecture can be reduced lower than half the module voltages, the proposed DPP system realizes all-ceramic-capacitor SCC circuit by properly determining the module voltages. A prototype for eight panels, which were grouped into two modules, was built, and laboratory and field tests were performed. The experimental results demonstrated the enhanced power yield from the partially shaded PV string.

Review of Differential Power Processing Converter Techniques for Photovoltaic Applications

Differential power processing (DPP) converters are utilized in photovoltaic (PV) power systems to achieve high-efficiency power output, even under uneven lighting or mismatched PV cell situations. Since this DPP concept has been introduced for PV systems, various topologies and control algorithms have been proposed and validated, showing the benefits of DPP converters systems over existing series string and full power processing converter solutions. However, DPP systems are highly coupled and can be challenging to control. Various architectures, topologies, and control strategies for both series and parallel DPP architectures are reviewed and compared. Tradeoffs of different DPP converters and topologies are discussed. Also, the power curve for the PV connected to bus, PV to PV, and PV to independent port series DPP architectures are evaluated in terms of inverter interaction. To date, the PV to PV series DPP systems have been most widely implemented and robust system-level control for all architectures has been a major research focus. Furthermore, research and development is still needed, particularly for commercialization and parallel DPP approaches for emerging PV applications.

Unit-Minimum Least Power Point Tracking for the Optimization of Photovoltaic Differential Power Processing Systems

Recently, the module integrated converter and differential power processing (DPP) architecture were introduced to enable the photovoltaic (PV) power conditioning system to maintain the optimal operating condition of PV cells, such as maximum power point tracking (MPPT), even under partial shading conditions. However, the DPP architecture was found to have more room to optimize the performance of the systems, by the application of an extra extremum-seeking control, the so-called least power point tracking (LPPT) method that was introduced last year. The main idea is that most of the power from the PV modules is processed through the main-string high-efficiency nonisolation converter, and only a minimal fraction of the power that changes depending on the PV-string current is transferred through the low-efficiency bidirectional isolated DPP converters. This paper suggests a second version of the LPPT method, called unit-minimum power-distributing LPPT, which improves the first version of LPPT, called total-minimum centralized power-distributing LPPT. Instead of minimizing the total power of DPPs, the proposed LPPT minimizes the power of the DPP converter unit, which is the largest among them. Then, the system size and cost can be reduced by the proposed LPPT method, which enables the multiple DPP converters to have smaller power capacity and losses than those of the previous LPPT method. The real-time extremum-seeking algorithm employs a perturb-and-observe method, which comes from the conventional MPPT one, while the optimization process directs minimal extremity, not maximal. The peak system efficiency achieved with a 400-W prototype DPP system employing the LPPT algorithm is 96.7%.

Least Power Point Tracking Method for Photovoltaic Differential Power Processing Systems

Differential power processing (DPP) systems are a promising architecture for future photovoltaic (PV) power systems that achieve high system efficiency through processing a faction of the full PV power, while achieving distributed local maximum power point tracking (MPPT). In the PV-to-bus DPP architecture, the power processed through the DPP converters depends on the string current, which must be controlled to minimize the power processed through the DPP converters. A real-time least power point tracking (LPPT) method is proposed to minimize power stress on PV DPP converters. Mathematical analysis shows the uniqueness of the least power point for the total power processed through the system. The perturb-and-observe LPPT method is presented that enables the DPP converters to maintain optimal operating conditions, while reducing the total power loss and converter stress. This work validates through simulation and experimentation that LPPT in the string-level converter successfully operates with MPPT in the DPP converters to maximize output power for the PV-to-bus architecture. Hardware prototypes were developed and tested at 140 and 300 W, and the LPPT control algorithm showed effective operation under steady-state operation and an irradiance step change. Peak system efficiency achieved with a 140-W prototype DPP system employing LPPT is 95.7%.

Analysis of Power Processing Architectures for Thermoelectric Energy Harvesting

This paper analyzes, from a power processing architecture standpoint, the recovery of thermal energy waste by means of thermoelectric (TE) modules and arrays. The existence, in many industrial scenarios, of stable and often significant temperature gradients enables a number of possibilities for effective processing and recovery of waste heat, which could result in marked economic savings and environmental benefits if adopted on a large scale and systematically embedded into industrial processes. A review of the TE source is provided first, along with an extensive experimental characterization of commercial bismuth-telluride TE cells. Results indicate that maximum power extraction from TE generators can be achieved at a TE efficiency close to optimal, motivating the adoption of maximum power point tracking architectures, traditionally employed in photovoltaic systems, to TE plants as well. Three power processing architectures are then analyzed and compared in terms of their maximum power extraction capabilities and of the efficiency constraint they pose on the power processors. Different from the photovoltaic case, the simple series configuration of TE modules allows to extract most of the available power even in the presence of rather large mismatches among the modules. For even larger mismatch levels, the differential power processing (DPP) concept, already introduced for dc–dc distribution systems and photovoltaic plants, can be successfully adopted to improve power extraction. On the other hand, the module-integrated converter architecture, another well-established solution for photovoltaic sources, is found to be much less indicated for TE generators than the DPP solution. Main conclusions are experimentally validated using a DPP architecture with a two-cell test bed operated at different thermal gradients.

Enhancing Microinverter Energy Capture With Submodule Differential Power Processing

Differential power processing (DPP) is a power electronics system architecture that configures dc–dc converters in parallel with the PV string to improve its power yield. The parallel nature of the DPP architecture brings a number of benefits, such as low converter power rating and low power losses, all of which make DPP especially suitable for submodule-level maximum power point tracking (MPPT). Meanwhile, microinverters typically perform only module-level MPPT and do not address power losses due to uncompensated submodule mismatch. In this paper, we introduce DPP converters into a microinverter system to improve its energy capture by recovering power losses due to submodule mismatch. The control method to interface DPP converters with a microinverter for submodule MPPT is presented and the tradeoff between tracking accuracy and control overhead is analyzed. A small-footprint DPP converter is designed. A digitally assisted windowed sensing technique is also implemented to address the challenge of precise current sensing. Altogether, the proposed solution seamlessly integrates DPP into the existing microinverter design. To demonstrate the effectiveness of the proposed solution, a hardware prototype has been built and tested with an off-the-shelf commercial microinverter. The improvement in energy capture with DPP converters has been experimentally verified.

Converter Rating Analysis for Photovoltaic Differential Power Processing Systems

When photovoltaic (PV) cells are connected in series, they experience internal and external mismatch that reduces output power. Differential power processing (DPP) architectures achieve high system efficiency by processing a fraction of the total power while maintaining distributed local maximum power point operation. This paper details the computational methods and analysis used to determine the operation of PV-to-bus and PV-to-PV DPP architectures with rating-limited converters. Simulations for both DPP architectures are used to evaluate system performance over 25 years of operation. Based on data from field studies, a PV power coefficient of variation can be estimated as 0.086 after 25 years. An improvement figure of merit reflecting the ratio of energy produced to that delivered in a conventional system is introduced to evaluate comparative performance. Converter ratings of 15-17% for PV-to-bus and 23-33% for PV-to-PV architectures are identified as appropriate ratings for a 15-submodule system (five PV panels in series). Both DPP architectures with these ratings are shown to deliver up to 2.8% more power compared to a conventional series-string architecture based on the expected panel variation over 25 years of operation. DPP converters also outperform dc optimizers in terms of lifetime performance.

Performance of Power-Limited Differential Power Processing Architectures in Mismatched PV Systems

Differential power processing (DPP) architectures employ distributed, low power processing, submodule-integrated converters to mitigate mismatches in photovoltaic (PV) power systems, while introducing no insertion losses. This paper evaluates the effects of the simple voltage-balancing DPP control approach on the submodule-level maximum power point (MPP) efficiency. It is shown that the submodule MPP efficiency of voltage-balancing DPP converters exceeds 98% in the presence of worst-case MPP voltage variations due to irradiance or temperature mismatches. Furthermore, the effects of reduced converter power rating in the isolated-port DPP architecture are investigated by long-term, high-granularity simulations of five representative PV system scenarios. For partially shaded systems, it is shown that the isolated-port DPP architecture offers about two times larger energy yield improvements compared to full power processing (FPP) module-level converters, and that it outperforms module-level FPP approaches even when the power rating of DPP converters is only 20-30% of the PV system peak power. In the cases of aging-related mismatches, more than 90% of the energy yield improvements are obtained with DPP converters rated at only 10% of the PV peak power.