From Load to Net Energy Forecasting: Short-Term Residential Forecasting for the Blend of Load and PV Behind the Meter

Razavi, S. Ehsan; Arefi, Ali; Ledwich, Gerard; Nourbakhsh, Ghavameddin; Smith, David B.; Minakshi, Manickam

doi:10.1109/access.2020.3044307

Cited by 69 publications

(27 citation statements)

References 28 publications

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“…where the corona current i Cj is described by Equations ( 1), ( 3) and (5). The fundamental studies made on an equivalent circuit model may refer to [27][28][29]. For the first curve section on the q-u curve, as described by Equation ( 1), if the corona charge satisfies…”

Section: Transient Calculation Considering Corona Effectmentioning

confidence: 99%

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Lightning Surge Analysis for Overhead Lines Considering Corona Effect

Zhang

Huang

2021

Applied Sciences

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Corona discharge characteristics are measured in a corona cage. The difference is found between the q–u curves under double exponential and damped oscillation surges. The behavior of the minor loops is revealed for the q–u curves under positive and negative damped oscillation surges. An extended improvement is made on the traditional approach for modeling of the q–u curves under damped oscillation surges. The extended approach has the capability of describing the complicated trajectory feature of the minor loops. On the basis of the extended approach, an efficient method is proposed for performing lightning surge analysis of overhead lines considering the corona effect. In the proposed method, an overhead line with corona is divided into a certain number of line segments. Each segment is converted into a circuit unit consisting of a non-linear branch and a linear circuit. With these circuit units connected in sequence, a complete equivalent circuit is constructed for the overhead line with corona. The transient responses can be obtained from the solution to the equivalent circuit. Then, the calculated results are compared with the field test results on a test overhead line.

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Section: Transient Calculation Considering Corona Effectmentioning

confidence: 99%

“…where the corona current iCj is described by (1), ( 3) and (5). The funda on an equivalent circuit model may refer to [27][28][29]. For the first curv If the corona charge satisfies 0 < qcj < (C1-C0)(ujvoltage are given by:…”

Section: Transient Calculation Considering Corona Effectmentioning

confidence: 99%

Lightning Surge Analysis for Overhead Lines Considering Corona Effect

Zhang

Huang

2021

Applied Sciences

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“…Improving the accuracy of generating estimation is important for dispatching and optimization in the short-time scale. Several methods are proposed and implied in renewable energy forecast through machine learning algorithm (Quan et al, 2014;Razavi et al, 2020) and the big data-driven method (Zhou et al, 2017). In terms of joint scheduling, it is mainly to use energy storage equipment to track and synchronize renewable energy generation Shim et al (2018) and Latifi et al (2019) to alleviate the abandonment problem caused by the volatility of renewable energy.…”

Section: Introductionmentioning

confidence: 99%

Increasing Renewable Energy Consumption Coordination With the Monthly Interprovincial Transaction Market

et al. 2021

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The limited regulation capacity of the power grid, coupled with the imperfect market mechanism, has squeezed the space for renewable energy consumption in China. This article proposes a renewable energy consumption mechanism through the monthly interprovincial transaction market, to balance the revenue of each market participant and improve the consumption of renewable energy. A new player named “interprovincial traders” is introduced to serve as the middleman for the renewable generation, users, and the power grid company. The main function of “interprovincial traders” is to coordinate and match the user load with the output of renewable energy. In such a market mechanism, the social factors, influenced by the revenue of each trading cycle, are considered in the user responding model from the perspective of consumer psychology. Finally, a two-phase optimization model is proposed to promote renewable energy consumption coordination with the monthly interprovincial market. The optimization model is simulated in a provincial power grid example. The results show that the model can effectively increase the consumption of renewable energy as well as improve the profit of power grid companies and users.

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“…This is mostly the case when dealing with smaller microgrid type of grid structures with few monitoring devices; the work in [9] considers a set of forecasting models (a naïve persistence model, an autoregressive model and an Artificial Neural Network (ANN) model) and shows that the integrated approach outperforms the additive one. Due to missing separation of generation and load metering data researches, the authors of [10,11] have explored further integrated models by applying machine learning models (ANNs and Recurrent Neural Networks (RNNs), in particular) for residual load forecasting. Thus, the present study focuses on the evaluation of integrated residual load forecasting models to predict the energy consumption in a section of the electrical grid that is not covered by controllable and intermittent local energy supply.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Load Forecasting Models for Varying Time Horizons and Load Aggregation Levels

et al. 2021

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Power system operators are confronted with a multitude of new forecasting tasks to ensure a constant supply security despite the decreasing number of fully controllable energy producers. With this paper, we aim to facilitate the selection of suitable forecasting approaches for the load forecasting problem. First, we provide a classification of load forecasting cases in two dimensions: temporal and hierarchical. Then, we identify typical features and models for forecasting and compare their applicability in a structured manner depending on six previously defined cases. These models are compared against real data in terms of their computational effort and accuracy during development and testing. From this comparative analysis, we derive a generic guide for the selection of the best prediction models and features per case.

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From Load to Net Energy Forecasting: Short-Term Residential Forecasting for the Blend of Load and PV Behind the Meter

Cited by 69 publications

References 28 publications

Lightning Surge Analysis for Overhead Lines Considering Corona Effect

Lightning Surge Analysis for Overhead Lines Considering Corona Effect

Increasing Renewable Energy Consumption Coordination With the Monthly Interprovincial Transaction Market

Comparative Analysis of Load Forecasting Models for Varying Time Horizons and Load Aggregation Levels

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