1,721,128 research outputs found
A novel ramp-rate control of grid-tied PV-Battery systems to reduce required battery capacity
Full text linkThis paper proposes a novel ramp-rate control of PV-battery systems in microgrids, including the coordination and control of time-varying loads. The power consumed by the loads is part of regulation strategy and participates in mitigating the overall ramp-rate of the controlled PV system and the loads. The control strategy is grid-friendly as the power fluctuation of the loads is also considered besides that of the PV system. Furthermore, this control strategy economizes on the number and size of auxiliary batteries that tipically are considered combined with PV system, since a part of the required active power is now borrowed from the loads. Combined to the load control a ramp-rate control, based on the virtual synchronous generator technology, is originally proposed to further reduce the use of the batteries and to provide innovative ancillary service. Finally numerical simulations on a test microgrid indicate the effectiveness of the proposed ramp-rate control. The test cases also demonstrate that this control strategy succeeds in reducing the battery capacity and the number of (dis)charge cycles as well as in offering frequency support to the microgrid
Data-driven uncertainty analysis of distribution networks including photovoltaic generation
Full text linkThis paper investigates residential distribution networks with uncertain loads and photovoltaic distributed generation. An original probabilistic modeling of consumer demand and photovoltaic generation is presented that is based on the analysis of large set of data measurements. It is shown how photovoltaic generation is described by complex non-standard distributions that can be described only numerically. Probabilistic analysis is performed using an enhanced version of the Polynomial Chaos technique that exploits a proper set of polynomial basis functions. It is described how such functions can be generated from the numerically available data. Compared to other approximate methods for probabilistic analysis, the novel technique has the advantages of modeling accurately truly nonlinear problems and of directly providing the detailed Probability Density Function of relevant observable quantities affecting the quality of service. Compared to standard Monte Carlo method, the proposed technique introduces a simulation speedup that depends on the number of random parameters. Numerical applications to radial and weakly meshed networks are presented where the method is employed to explore overvoltage, unbalance factor and power loss, as a function of photovoltaic penetration and/or network configuration
Complex-Array-Operation Newton Solver for Power Grids Simulations
Full text linkThis paper presents a robust and efficient technique for performing repeated power flow simulations of power networks. The method relies on a vector-based formulation of the power balance equations combined with a complex-array operation Newton solver. It is shown how the method is suitable for advanced simulations of power grids, such as probabilistic analyses, where a large number of scenarios have to be explored in reasonable simulation times. Applications to benchmark single phase networks as well as to unbalanced three phase grids are provided
Integrating Point Absorber Wave Energy Converters into the Grid: An Adaptive and Stable Solution
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Hardware in the loop simulation of a microgrid: Framework for integration of Different Real Time devices
No full textThe simulation of microgrids requires increasingly advanced tools to take into account phenomena with different time scales and at the same time integrate real devices. This last aspect is of great interest in the scientific community for the possibility of testing control algorithms and system performance. In this article is proposed a new Hardware In the Loop (HIL) simulation framework, which integrates the potential of an industrial embedded controller, that can be programmed with Model Based Design (MBD) techniques, along with the computing capacity of a Real-Time (RT) simulator dedicated to the simulation of power grids. The framework is applied to the simulation of a microgrid that includes several Distributed Energy Resources (DER), highlighting the problems of integration
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