Multi-Time scale rolling economic dispatch for integrated electricity-heating systems based on improved variational mode decomposition

Gao, Zhiyu; Han, Li

doi:10.1016/j.epsr.2020.106468

Cited by 12 publications

(2 citation statements)

References 14 publications

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“…The diagram of the strategy is shown in Figure 2. In the initial scenario, the time-scale is set to 4 h [28,29], that is, rolling once every 4 h to optimize the dispatching for the next 4 h. When the system available reserve is not enough to compensate for the wind power forecasting error, 15 min is taken as one step to shorten the dispatching time-scales. Accordingly, the wind power forecasting steps are shortened as well.…”

Section: The Time-scale Adaptive Forecasting and Dispatching Integrat...mentioning

confidence: 99%

A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia

Wang

Han

et al. 2023

IET Renewable Power Gen

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With the integration of wind, electricity and heat, the combined heat and power system has the characteristic of multi‐time scales, in which the wind power has high uncertainty, the thermal system is difficult to synchronize with the power system for the large inertia and delay. Therefore, the fixed time‐scale dispatching is unable to guarantee the reliability of the system. Given the above problems, this paper proposes a time‐scale adaptive dispatching strategy of the combined heat and power system considering thermal inertia. This strategy analyzes the time characteristics of wind power forecasting error and the thermal inertia, while later establishing time‐scale adaptive dispatching sub‐main model of combined heat and power system. Specifically, in the time‐scale adaptive method, the system available reserve model is improved due to the power support of the thermal inertia. Based on the existing fixed time‐scale dispatching, this method dynamically adjusts the steps of forecasting and the time‐scales of dispatching when the system available reserve is inadequate to compensate for the wind power forecasting error. Taking the 4‐h fixed time‐scale dispatching as an example, the simulation results suggest that the proposed strategy achieves the dynamic dispatching of the combined heat and power system, while improving its reliability and stability.

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Section: The Time-scale Adaptive Forecasting and Dispatching Integrat...mentioning

confidence: 99%

A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia

Wang

Han

et al. 2023

IET Renewable Power Gen

Self Cite

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“…VMD has been used in several applications like forecasting, fault diagnosis, signal feature extraction with successful results. 11,[22][23][24][25][26] In this work, it will be applied to some of the known cases of nuclear instabilities in the literature (Cofrentes, Laguna Verde and Ringhals). A comparison with other methods (STFT, EEMD) is also included.…”

Section: Introductionmentioning

confidence: 99%

Resolving mode mixing in boiling water reactors instability analysis using variational mode decomposition

Montalvo

Gavilan

Garcı́a-Berrocal

et al. 2020

Intl J of Energy Research

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In dynamic, complex and nonlinear systems, the analysis of transients, instabilities or unusual events is fundamental, as well as the knowledge of the system's behavior in the frequency space. What is usual in this type of study is to have discrete and digitally acquired data, due to a sampling process with a determined period or frequency. Extracting information from this data set is done by numerical methods, such as the Fourier Transform (FFT), the Hilbert-Huang Transform (HHT) or techniques from chaos mathematics (Attractors). In this way we have scarce data, with some loss of information, analyzed with numerical techniques that introduce, also, some dilution of the information. In particular, the techniques of analysis in the frequency space, by their very nature, blur, frequencies and bandwidths. This leads in some cases to the identification of unsuitable or very wide frequencies or intervals, which make the extracted information unusable. To this effect, we have studied the VMD technique that provides more real and representative frequencies of the system as well as narrower bandwidths that make possible better identification of phenomena and influences. This technique has been applied to the analysis of thermohydraulic instabilities in nuclear boiling water reactors (BWR). The cases had already been analyzed with STFT and HHT techniques. The results of the application of the VMD shows that the mode mixing is solved, so modes obtained are monofrequency and these frequency bands are narrower than in previous methodologies. This improved performance allows using backbone plots for identifying which modes are excited in instabilities events.

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A Multi-Time scale optimal scheduling strategy for integrated energy systems considering the power randomness of wind and photovoltaic

Wu,

Zhang,

Chen

et al. 2024

Electr Eng

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Multi-Time scale rolling economic dispatch for integrated electricity-heating systems based on improved variational mode decomposition

Cited by 12 publications

References 14 publications

A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia

A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia

Resolving mode mixing in boiling water reactors instability analysis using variational mode decomposition

A Multi-Time scale optimal scheduling strategy for integrated energy systems considering the power randomness of wind and photovoltaic

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