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检索条件"主题词=Large-Scale Access of Distributed Generations"

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Dynamic Evaluation of Distribution Network Reliability Based on Improved DNN with large-scale distributed generations access 6

Dynamic Evaluation of Distribution Network Reliability Based...

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6th Asia Energy and Electrical Engineering Symposium (AEEES)

作者： Yi, Chenying Zhou, Yuanchao Zhou, Yangjun Huang, Weixiang Zhang, Wei Li, Shan Guangxi Power Grid Co Ltd Guangxi Key Lab Intelligent Control & Maintenance Elect Power Res Inst Nanning Peoples R China Guangxi Power Grid Co Ltd Nanning Power Supply Bur Nanning Peoples R China

ISBN: (纸本)9798350373486;9798350373479

With the access of large-scale distributed generations, its uncertainty brings great risk to the reliable operation of distribution network. Therefore, it is of great significance to consider the dynamic reliability evaluation of distribution network with large-scale distributed generations access. However, the traditional reliability evaluation method of distribution network is not suitable for evaluating the reliability index of distribution network with large-scale distributed generations access, which often leads to the difficulty of modeling and the sharp increase of calculation. Therefore, this paper proposes a large-scale distributed power generations access dynamic evaluation method based on improved depth neural network (IDNN), and uses Whale Optimization Algorithm (WOA) to optimize the relevant parameters of DNN. In addition, this paper uses the grey correlation analysis to preprocess the input variables of the depth neural network, and then selects the factors that have great influence on the reliability of the distribution network as its input variables, so as to improve the calculation speed of the model as much as possible under the premise of ensuring the accuracy. Finally, an urban distribution network is selected for analysis and evaluation to verify the effectiveness of the proposed method.

关键词： Improved depth neural network large-scale access of distributed generations Whale Optimization algorithm Grey correlation analysis Dynamic Reliability Evaluation Method

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Dynamic Reliability Evaluation Method of Distribution System with distributed generations Based on Sparse Polynomial Chaos 3

Dynamic Reliability Evaluation Method of Distribution System...

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3rd International Conference on Energy and Electrical Power Systems (ICEEPS)

作者： Yi, Chenying Zhou, Yangjun Zhang, Wei Huang, Weixiang Li, Shan Feng, Bin Zhou, Yuanchao Pan, Juntao Qin, Liwen Guangxi Power Grid Co Ltd Elect Power Res Inst Guangxi Key Lab Intelligent Control & Maintenance Nanning Peoples R China Guangxi Power Grid Co Ltd Nanning Peoples R China Guangxi Power Grid Co Ltd Nanning Power Supply Bur Nanning Peoples R China

ISBN: (纸本)9798350375145;9798350375138

In order to address the fossil fuel crisis and climate change issues, vigorously developing renewable energy has become the dominant direction for the global energy low-carbon transition. However, with the large-scale access of distributed generations such as photovoltaic panels and wind turbines, the safe and reliable operation of the distribution system faces severe challenges. Therefore, it is necessary to propose a rapid reliability evaluation method to provide a decision basis for operation dispatchers. This paper proposes a dynamic reliability evaluation method for distribution systems based on sparse polynomial chaos (PC). Firstly, a PC model is established using historical power output of each distributed generation and its corresponding system reliability index. Then, the least angle regression (LAR) method is used to screen out the items in the polynomial that have the greatest impact on the output response, achieving the sparseness of the polynomial and efficient reliability dynamic evaluation. A distribution system for RBTS Bus 6 is introduced as standard case to demonstrate the accuracy of calculating the system reliability index and the effectiveness of reducing the terms of polynomials and alleviating the dimension disaster problem of PC method.

关键词： large-scale access of distributed generations sparse polynomial chaos least angle regression dynamic reliability evaluation method

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