Time Aggregation in Presence of Multiple Variable Energy Resources

Sarajpoor, Nima; Rakai, Logan; Arteaga, Juan; Amjady, Nima; Zareipour, Hamidreza

doi:10.1109/tpwrs.2023.3236842

Cited by 8 publications

(2 citation statements)

References 38 publications

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“…Electricity prices are responsive to the market dynamics. For example, the seasonal effects of the electricity demand [11] and the variability of an increasing amount of renewable resources [13,47], among others. As opposed to fixed thresholds, a variable threshold for price spikes, i.e., τ…”

Section: Modeling Approachmentioning

confidence: 99%

Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study

Zamudio López,

Zareipour,

Quashie

2024

Forecasting

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This research proposes an investigative experiment employing binary classification for short-term electricity price spike forecasting. Numerical definitions for price spikes are derived from economic and statistical thresholds. The predictive task employs two tree-based machine learning classifiers and a deterministic point forecaster; a statistical regression model. Hyperparameters for the tree-based classifiers are optimized for statistical performance based on recall, precision, and F1-score. The deterministic forecaster is adapted from the literature on electricity price forecasting for the classification task. Additionally, one tree-based model prioritizes interpretability, generating decision rules that are subsequently utilized to produce price spike forecasts. For all models, we evaluate the final statistical and economic predictive performance. The interpretable model is analyzed for the trade-off between performance and interpretability. Numerical results highlight the significance of complementing statistical performance with economic assessment in electricity price spike forecasting. All experiments utilize data from Alberta’s electricity market.

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Section: Modeling Approachmentioning

confidence: 99%

Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study

Zamudio López,

Zareipour,

Quashie

2024

Forecasting

Self Cite

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“…In the selection of clustering methods, reference [13] proposes a real-time distributed clustering algorithm for the aggregation of distributed energy storage systems into heterogeneous virtual power plants. Reference [14] proposes a new time aggregation method. Each representative period constructed by the proposed method can include more than one representative day.…”

Section: Introductionmentioning

confidence: 99%

Distributed Photovoltaic Generation Aggregation Approach Considering Distribution Network Topology

Tang,

Sun,

Zhao

et al. 2024

Energies

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Distributed photovoltaics (DPVs) are widely distributed and the output is random, which brings challenges to the safe operation of the distribution network, so the construction of photovoltaic aggregations can effectively participate in the flexible regulation of the power system. At present, the extraction of DPV clustering features is not sufficient, only considering the output characteristics of PVs. Certain PVs under some nodes may have a more pronounced regulation effect, but they may be ignored in the clustering process. To address the above problems, this paper proposes a DPV aggregation approach considering the distribution network topology. It combines the voltage sensitivity and the power curve and regards them as clustering features to form the DPV aggregation with the highest average voltage sensitivity participating in voltage regulation. The simulation on the IEEE 33-node system verifies that the proposed aggregation approach can select DPV aggregation more suitable for voltage regulation, and make full use of the aggregation to realize the optimal voltage regulation effect.

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Analyzing the Impact of Ground Resistance on Distance Relay Performance with Mho Characteristics

Rasoulnia,

Yazdani,

Yari

et al. 2024

2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)

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Time Aggregation in Presence of Multiple Variable Energy Resources

Cited by 8 publications

References 38 publications

Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study

Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study

Distributed Photovoltaic Generation Aggregation Approach Considering Distribution Network Topology

Analyzing the Impact of Ground Resistance on Distance Relay Performance with Mho Characteristics

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