Abstract

Massive integration of non-dispatchable energy into electric power systems is a challenging task. Electric power systems are becoming increasingly vulnerable in terms of frequency stability, as renewable energy displaces conventional synchronous generation from the energy mix. For this reason, grid codes are starting to demand different ancillary services from renewable generators, such as frequency control. In contrast to wind generators, which can deliver to the grid part of the kinetic energy stored in their rotating mass, photovoltaic generators must provide this service using batteries or power curtailment methods. The latter approach is preferable regarding the initial investment and its implementation cost, and several methods have been presented in the literature for this purpose. However, there is no consensus in which is the most appropriate side for operating the photovoltaic system in the curtailed mode. As both possible options have advantages and drawbacks, this paper proposes a novel photovoltaic power curtailment strategy that allows operation on both sides of the power-voltage curve depending on the needs. Moreover, in order to estimate the output characteristic of the photovoltaic system, a real-time nonlinear least squares curve fitting is applied. The proposed methodology has been tested in a simulation environment and the results show that this strategy achieves the requested active power reserves, regardless of the operation side.

Highlights

  • The simulation compares the performance of the control system when the PV system operates on the left and on the right sides of the P-V curve

  • The solution of the curve fitting problem has been analyzed, and the conclusion was that it is impossible to estimate the temperature when the PV system operates on the left-hand side of the Maximum Power Point (MPP)

  • When power curtailment is required, the PV system is operated on the left part of the MPP

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Summary

Introduction

In Reference [13], a recursive least squares curve fitting algorithm is applied to a large number of measurements to estimate, in real-time, the MPP and the current-voltage characteristic while operating suboptimally on the right hand side of the P-V curve This method is assisted by ripple control, to ensure an appropriate window measurement. Perturb and Observe algorithm and their voltage is regulated at the left side of the MPP, so the operation is stable in fast decreasing irradiance conditions This method needs a communication system between the master and slave strings. In real-time, the table takes the photovoltaic power command, and the actual temperature and irradiance measurements, to determine the PV voltage that produces the desired power In this method, the PV system operates on the right part of the P-V curve, controlled by direct voltage control.

Method
Non-linear Least Squares Curve Fitting
Objective function
Photovoltaic Voltage Control
Simulation Results
Conclusions
Full Text
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