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检索条件"机构=Key Lab of Power System Intelligent Dispatch and Control"

共 1779 条记录，以下是181-190 订阅

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Event-driven fast frequency response for large active power disturbances 4

Event-driven fast frequency response for large active power ...

引用

4th IEEE Conference on Energy Internet and Energy system Integration, EI2 2020

作者： Cao, Yongji Zhang, Hengxu Li, Changgang Sun, Leshu Guo, Qi Zhu, Yihua Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China

ISBN: (纸本)9781728196060

With the rapid development of renewable energy sources, the equivalent inertia of power systems is decreasing, which leads to more drastic dynamic frequency response. This paper proposes an event-driven fast frequency response (EFFR) approach to counter frequency decline after large power disturbances. Based on the data from the wide area measurement systems, a centralized control framework is established to perform the EFFR. Then, the reference power for EFFR can be determined promptly via monitoring active power deficits. Considering the control costs and power reserves, a utility index is created to quantify the priority of each unit to participate in EFFR, on which the reference power is distributed. Furthermore, a recovery strategy is designed to restore the normal operation states of units when the power system enters the quasi-steady state. According to a droop slope, units exit the EFFR mode in sequence, of which the distributed reference power decreases gradually. A case study is presented to validate the feasibility and effectiveness of the proposed approach. © 2020 IEEE.

关键词： Frequency response

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A new method to suppress the limit cycle of PWM Inverter

A new method to suppress the limit cycle of PWM Inverter

引用

2017 China International Electrical and Energy Conference, CIEEC 2017

作者： Zhengnan, Li Qing, Chen Xin, Huang Kongming, Sun Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Ministry of Education Jinan China

ISBN: (纸本)9781509062751

Digitally controlled PWM inverters are interfered by quantization errors caused by A/D converters (ADC) and Digital Pulse-Width Modulators (DPWMs), which may result in undesirable limit-cycle oscillations (LCO). In this paper, static and dynamic models that include the quantization effects are derived and used to explain the origins of LCO. According to a brief analysis of the limit cycle oscillation period and amplitude, a new method to improve digital PWM resolution is introduced in the paper. By this method, the limit cycle can be avoided with the proposed integral part so that it will not propagate to the output directly. Therefore the digital PWM resolution is improved largely. In the end, the conclusions are illustrated by simulation and experimental examples. © 2017 IEEE.

关键词： Pulse width modulation

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Probabilistic Prediction of Regional Wind power Based on Spatiotemporal Quantile Regression

Probabilistic Prediction of Regional Wind Power Based on Spa...

引用

54th Annual Meeting of the IEEE-Industry-Applications-Society (IEEE IAS)

作者： Yu, Yixiao Han, Xueshan Yang, Ming Yang, Jiajun Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (纸本)9781538645390

Different from power prediction for a single wind farm, the regional wind power prediction is to predict the total power of multiple wind farms located in the same region. Normally, abundant information on spatiotemporal correlations and nonlinearity is implicated in regional wind farms, and thus selecting the most representative explanatory variables becomes one of the most crucial issues to construct an effective regional wind power prediction model. This paper proposes a spatiotemporal quantile regression (SQR) algorithm to perform short-term nonparametric probabilistic prediction of regional wind power, incorporating the advantages of the hybrid neural network (HNN) and quantile regression (QR). In the approach, the high dimensional input data are reorganized into a feature graph that is ready for feature extraction by the HNN. And the advantages of HNN can therefore be utilized to extract the representative features and construct nonlinear regression models. Meanwhile, by following the QR rules, the model can obtain quantiles and perform probabilistic prediction. By properly addressing the explanatory variable selection issue, the approach provides a specific solution for regional wind generation probabilistic prediction with huge input information. Test results on a region with 10 wind farms demonstrate the effectiveness of the proposed approach.

关键词： convolutional neural network hybrid neural network long-short-term memory network probabilistic prediction regional wind power prediction spatiotemporal quantile regression

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Partitioning Active Distribution Networks by Using Spectral Clustering

Partitioning Active Distribution Networks by Using Spectral ...

引用

2020 IEEE Sustainable power and Energy Conference, iSPEC 2020

作者： Gu, Huizi Chu, Xiaodong Liu, Yutian Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781728191645

With the increasing intermittent renewable sources integrated into active distribution networks (ADNs), distributed management should be adopted to improve the control and management level of ADNs effectively. Accurate partitioning is a vital step to manage distributed resources. A partitioning method of ADNs by using spectral clustering algorithm is proposed in this paper to avoid the curse of dimensionality and accurately obtain the partitioning scheme of the ADNs. First, the graph model of the ADN is established to simplify the distribution network structure. Then the normalized symmetric Laplacian matrix of the distribution network is calculated according to the graph model. Finally, the eigenvectors of the normalized Laplacian matrix are solved and dimensionally reduced by using spectral clustering. The k-means algorithm is used to cluster the newly generated node data to obtain the partitions of the ADN. Case studies on the IEEE 13-node test feeder and IOWA 240-node distribution test system demonstrate the feasibility, adaptability, and efficacy of the proposed partitioning method. © 2020 IEEE.

关键词： Laplace transforms

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Blackout risk assessment of cascading outages considering wind power uncertainty 2

Blackout risk assessment of cascading outages considering wi...

引用

2nd IEEE International Conference on Energy Internet, ICEI 2018

作者： Xu, Di Wang, Hongtao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781538641316

Higher penetration of wind power generation will introduce an unprecedented amount of uncertainty into power grid that might affect the risk assessment of cascading failures. To reflect the impact of wind power uncertainty, this paper proposes a model of cascading outages based on fault chain, in which stochastic power flow is introduced to simulate cascading failures in power grid. The system blackout risk index is calculated by synthesizing results in different wind power scenarios generated by fuzzy clustering method. Case studies on the improved IEEE 39-bus system verify the rationality of the proposed model and analyze the impacts of wind power forecasting error on the risk of power grid cascading outages. © 2018 IEEE.

关键词： Wind power

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A Grid-Load-Storage Coordinated Planning Model Considering Flexibility Resources under High Wind power Penetration

A Grid-Load-Storage Coordinated Planning Model Considering F...

引用

2021 IEEE International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2021

作者： Liu, Shuai Wang, Mingqiang Hu, Yuxi Lian, Xiaoyang Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781665441285

With the increasing penetration of renewable energy, the fluctuation of renewable energy source (RES) is one of the most important factors that affect the reliability and economy of power system. It is crucial to consider the flexibility and reliability in planning stage. In this paper, a grid-load-storage coordinated planning model considering unit commitment (UC) constraints is proposed, in which the candidate transmission lines and energy storage systems (ESSs) are simultaneously planned by minimizing the investment cost, operation cost, flexibility cost and wind and load curtailment cost. The flexibility resources are provided by generators, ESSs and demand response (DR) together. In order to ensure the reliability of this model, N-1 security criterion is also considered. To validate the effectiveness and superiority, the proposed model is illustrated using the IEEE-RTS system. © 2021 IEEE.

关键词： Reliability

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Research on Harmonic Overvoltage Suppression Technology of Single-core Cable Shielding Layer

Research on Harmonic Overvoltage Suppression Technology of S...

引用

2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Chen, Tao Wu, Shouyuan Zhu, Ke Key Laboratory of Power System Intelligent Dispatch Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143033

Traditional shielding layer protector of single-core cable can only suppress lightning and fault overvoltage, and can not solve the induced overvoltage and harmonic overvoltage caused by harmonics. When a discharge damping technology for shielding layer of single-core cable is proposed. Firstly, establish the coupling model of shielding layer by analyzing the mechanism of shielding layer induced voltage;then, study the induced overvoltage and resonance overvoltage caused by harmonics based on the model;furthermore, a technical scheme of reducing the overvoltage caused by harmonics by grounding the cable shielding layer through discharge capacitance and damping resistance in series is proposed;finally, give the method of choosing parameters of discharge capacitance and damping resistance. Theoretical results and simulated analysis confirm effectiveness of this method. © 2020 IEEE.

关键词： Cables

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Multi-Objective Upgrade Planning Strategy for Harnessing Operational Flexibility of Coal-Fired power Generators 8

Multi-Objective Upgrade Planning Strategy for Harnessing Ope...

引用

8th Asia Conference on power and Electrical Engineering, ACPEE 2023

作者： Ren, Zhengxing Chu, Xiaodong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control The Ministry of Education Jinan China

ISBN: (纸本)9798350345520

The high penetration of renewable energy in power systems leads to significant net load fluctuations. Coal-fired power generators conventionally designed for baseload operations are expected to be flexible with cycling operations. Necessary upgrades received by the power generators to improve their operational flexibility will cause associated costs. An upgrade planning strategy is proposed in this paper for harnessing operational flexibility of coal-fired power generators. First, a multi-objective optimization model of coal-fired power generators is established in which the upgrade cost, operating cost, and the upgraded load following capacity of three stages are comprehensively integrated. Next, an improved multi-objective particle swarm optimization algorithm is used to solve the proposed model. Finally, a multi-criteria decision making method is applied to select the best upgrade plan. The case study results of the IEEE 39-bus system demonstrate the feasibility and effectiveness of the proposed planning strategy. © 2023 IEEE.

关键词： Multiobjective optimization

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Short-Term Load Forecastiong Based on Residual Graph Convolutional Neural Network

Short-Term Load Forecastiong Based on Residual Graph Convolu...

引用

2023 International Conference on power system Technology, powerCon 2023

作者： Bian, Mengqing Chu, Xiaodong Ye, Hua Intelligent Dispatch and Control of Ministry of Education Shandong University Key Laboratory of Power System Jinan China

ISBN: (纸本)9798350300222

As various industries experiencing post-pandemic economic recovery, power systems face increased challenges. Short-term power load forecasting for regional power grids can assist in anticipating load fluctuations and optimizing power system management planning. This paper tackles the gradient vanishing issue in deep graph convolutional neural networks (GCNs) by incorporating a residual module to create a residual graph convolutional neural network (ResGCN). Data from a regional power grid in the United States is utilized for validation purposes. Experimental results show that the graph convolutional neural network with the residual module generates predictions closer to the actual values, consequently enhancing prediction accuracy and confirming the efficacy of the proposed ResGCN. © 2023 IEEE.

关键词： Convolutional neural networks

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Optimal allocation of black-start capability considering renewable energy penetration in AC-DC grid

Optimal allocation of black-start capability considering ren...

引用

2018 International Conference on Electronics Technology, ICET 2018

作者： Zhao, Jin Wang, Hongtao Liu, Yao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781538657522

The categories of black start resources (BSR) have been extended in the modern smart grid with the penetration of renewable energies. On one hand, the distributed renewable energy resources (RES) and storage facilities give birth to an new kinds of black-start resource (BSR): RES hybrid unit. On the other hand, the flexible HVDC link in modern smart grid can be a valuable BSR provider. Considering the novel kinds of BSR, the optimal allocation problem is addressed in this paper. Firstly, the optimal black-start capability of a grid is determined through pursuing the highest society utility. Secondly, the utility theory is utilized to determine the optimal capacity of different kinds of BSRs. Furthermore, the problem of BSR siting is dealt with by applying the conception of electrical betweenness. Case studies present the effectiveness of the proposed method by the modified IEEE-9 and IEEE-30 bus testing system. © 2018 IEEE.

关键词： Renewable energy resources

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