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Power optimizer

About: Power optimizer is a research topic. Over the lifetime, 10525 publications have been published within this topic receiving 199245 citations.


Papers
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Journal ArticleDOI
TL;DR: A simplified extrapolation method with reduced computational burden is proposed to safeguard the semiconductor devices during the dynamic changes in reference power values, showing good dynamic and steady-state performance.
Abstract: In this paper, a model predictive scheme is proposed to control the grid-connected high-power four-level diode-clamped inverter. To predict the future behavior of active and reactive grid power values and dc link capacitor voltages, a discrete-time model of the inverter is developed in synchronous reference frame. The controller uses all the possible switching states of the inverter for the prediction and evaluates them using a cost function. The switching state, which minimizes the cost function, is then chosen and applied at the next sampling interval. The switching frequency minimization is also achieved by including an extra constraint in the cost function. A simplified extrapolation method with reduced computational burden is proposed to safeguard the semiconductor devices during the dynamic changes in reference power values. The performance of the proposed method is investigated with the perturbations in the grid filter and dc link parameters. The feasibility of the proposed method is verified through simulation and experimental results, showing good dynamic and steady-state performance.

92 citations

Patent
01 Jul 2004
TL;DR: In this paper, a photovoltaic panel is provided on an electronic circuit and a direct current to direct current (DC-DC) converter is controlled by a tracking algorithm point maximum power unit.
Abstract: The module has a photovoltaic panel (1) provided on an electronic circuit (2). A direct current to direct current (DC-DC) converter (3) is controlled by a tracking algorithm point maximum power unit. An inverter (7) supplies an alternating current to the power unit.

92 citations

Proceedings ArticleDOI
22 May 2008
TL;DR: In this paper, the authors proposed the integration of a Vanadium Redox Flow Battery (VRB) system with a typical stand-alone wind energy system during wind speed variation as well as transient performance under variable load.
Abstract: Energy storage devices are required for power balance and power quality in stand alone wind energy systems. A Vanadium Redox Flow Battery (VRB) system has many features which make its integration with a stand alone wind energy system attractive. This paper proposes the integration of a VRB system with a typical stand-alone wind energy system during wind speed variation as well as transient performance under variable load. The investigated system consists of a variable speed wind turbine with permanent magnet synchronous generator (PMSG), diode rectifier bridge, buck-boost converter, bidirectional charge controller, transformer, inverter, ac loads and VRB (to store a surplus of wind energy and to supply power during a wind power shortage). The main purpose is to supply domestic appliances through a single phase 230 V, 50 Hz inverter. Simulations are accomplished in order to validate the stability of the supply.

92 citations

Proceedings ArticleDOI
01 Jan 2000
TL;DR: In this paper, a model-based method for photovoltaic array maximum power point prediction is presented, where a three-phase IGBT-voltage-source inverter is used as the power conditioner and a DSP-controller is employed to perform real-time control and prediction functions.
Abstract: The paper presents a model-based method for photovoltaic array maximum power point prediction. The method was tested successfully on a small grid-connected PV system. A three-phase IGBT-voltage-source inverter is used as the power conditioner and a DSP-controller is employed to perform real-time control and prediction functions. The system and experimental results obtained are presented in the paper.

91 citations

Journal ArticleDOI
TL;DR: In this article, the authors presented an optimal configuration for renewable generating systems in residence using a genetic algorithm (GA), where the objective function was defined as the sum of initial cost, an operation cost, and a maintenance cost.
Abstract: Photovoltaic power generation and wind power generation have an advantage that energy is clean and infinite, but they have a disadvantage in that electrical output energy is unstable, and initial and maintenance costs are expensive. This paper presents an optimal configuration for renewable generating systems in residence using a genetic algorithm (GA). We define that the objective function is the total cost, where the total cost is the sum of initial cost, an operation cost, and a maintenance cost. We determine an optimal configuration of renewable generating systems, where total cost is more reasonable using GA. The simulation using this technique is shown.

91 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202363
2022144
202112
202017
201924
201850