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Energy Storage Requirements for PV Power Ramp Rate Control in Northern Europe
摘要： Photovoltaic (PV) generators suffer from fluctuating output power due to the highly fluctuating primary energy source. With significant PV penetration, these fluctuations can lead to power system instability and power quality problems. The use of energy storage systems as fluctuation compensators has been proposed as means to mitigate these problems. In this paper, the behavior of PV power fluctuations in Northern European climatic conditions and requirements for sizing the energy storage systems to compensate them have been investigated and compared to similar studies done in Southern European climate. These investigations have been performed through simulations that utilize measurements from the Tampere University of Technology solar PV power station research plant in Finland. An enhanced energy storage charging control strategy has been developed and tested. Energy storage capacity, power, and cycling requirements have been derived for different PV generator sizes and power ramp rate requirements. The developed control strategy leads to lesser performance requirements for the energy storage systems compared to the methods presented earlier. Further, some differences on the operation of PV generators in Northern and Southern European climates have been detected.
关键词： Photovoltaic generators,energy storage systems,power fluctuations,Northern European climate,ramp rate control
更新于2025-09-23 15:21:01
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[IEEE 2018 IEEE Power & Energy Society General Meeting (PESGM) - Portland, OR, USA (2018.8.5-2018.8.10)] 2018 IEEE Power & Energy Society General Meeting (PESGM) - An LMI Based Stability Margin Analysis for Active PV Power Control of Distribution Networks with Time-Invariant Delays
摘要： High penetration of photovoltaic (PV) generators can lead to voltage issues in distribution networks. Various approaches including the real power control through PV inverters have been proposed to address voltage issues. However, among different control strategies, communication delays are inevitably involved and they need to be carefully considered in the control loop. Those delays can significantly deteriorate the system performance with undesired voltage quality, and may also cause system instability. In this paper, according to the inverter based active power control strategy, a linearized state space model with communication delay is presented. A delay dependent stability criterion using linear matrix inequality (LMI) approach is used to rigorously obtain the delay margins based on different system parameters. The method can handle multiple PVs in the distribution network as well.
关键词： modeling,photovoltaic generators,communication delay,active power curtailment,LMI
更新于2025-09-19 17:15:36
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[IEEE 2019 IEEE 4th Colombian Conference on Automatic Control (CCAC) - Medellín, Colombia (2019.10.15-2019.10.18)] 2019 IEEE 4th Colombian Conference on Automatic Control (CCAC) - Assessment of Dynamic Voltage Support Control Schemes for Photovoltaic Generators Connected to Power Systems
摘要： Nowadays, the trend is that modern power systems operate with high penetration of photovoltaic generation, which must provide adequate voltage support in contingency situations. This paper presents an analysis and assessment of the effect on the dynamic performance of the voltage magnitude of two voltage control schemes of photovoltaic generators connected to power systems. Fault-ride through (FRT)-based dynamic voltage support schemes with and without injection of reactive power are evaluated. Study cases in the IEEE 14-bus test system are presented in which the performance of the contingency voltage response is assessed from dynamic voltage indices. Results showed that with a control scheme for photovoltaic systems which injects reactive power into the power system in the transient stage it is possible to avoid problems of fault-induced delayed voltage recovery (FIDVR) and fast voltage collapses.
关键词： Dynamic performance,Voltage control,Power systems,Photovoltaic generators
更新于2025-09-16 10:30:52
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Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation
摘要： Accurate prediction of the generation capacity of photovoltaic systems is fundamental to ensuring the stability of the grid and to performing scheduling arrangements correctly. In view of the temporal defect and the local minimum problem of back-propagation neural network, a forecasting method of power generation based on long short-term memory-back-propagation is proposed. On this basis, the traditional prediction data set is improved. According to the three traditional methods listed in this article, we propose a fourth method to improve the traditional photovoltaic power station short-term power generation prediction. Compared with the traditional method, the long short-term memory-back-propagation neural network based on the improved data set has a lower prediction error. At the same time, a horizontal comparison with the multiple linear regression and the support vector machine shows that the long short-term memory-back-propagation method has several advantages. Based on the long short-term memory-back-propagation neural network, the short-term forecasting method proposed in this article for generating capacity of photovoltaic power stations will provide a basis for dispatching plan and optimizing operation of power grid.
关键词： Photovoltaic generators,artificial neural networks,long short-term memory,power forecasting,long short-term memory-back-propagation neural network
更新于2025-09-11 14:15:04