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检索条件"机构=Beijing Key Lab of Research and System Evaluation of Power Dispatching Automation Technology"

共 160 条记录，以下是121-130 订阅

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A Cross-regional Peak Shaving Optimization Clearing Model Considering Bilateral Quotation

A Cross-regional Peak Shaving Optimization Clearing Model Co...

引用

IEEE PES Asia-Pacific power and Energy Engineering Conference (APPEEC)

作者： Fang Liu Yujia Li Lei Tao Xin Xu Linglin Gong Qiong Feng Jing Yu Haiwei Wu Ming Yang Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China State Grid Jiangsu Electric Power Company Nanjing China

ISBN: (纸本)9781665448796

In this paper, an intraday market clearing model with the goal of maximizing social welfare for cross regional peak shaving market is established, which considers the bids and offers, and the security of interregional channel, inter provincial channel and provincial power grid. In this model, the seller adopts unit quotation and the buyer adopts demand area quotation, and they all adopt the segment quotation. The effectiveness of the model is verified by an example, the model can realize the clearing of cross regional bilateral peak shaving market, and can effectively solve the scalar quantity of market members and marginal clearing price under the premise of power grid security.

关键词： Analytical models Energy resources power grids Security Optimization

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research and Application of Alarm Optimization Mechanism in power Grid Operation Monitoring

Research and Application of Alarm Optimization Mechanism in ...

引用

IEEE Advanced Information technology, Electronic and automation Control Conference (IAEAC)

作者： Chaohan Feng Lulu Wang Ruili Ye Jingzi Gu Lin Xie Yan Wang Qiong Feng Can Cui Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China Institute of Information Engineering Chinese Academy of Sciences Beijing China

ISBN: (数字)9781728180281

ISBN: (纸本)9781728180298

The alarms of power grid control center is an important data basis for monitors to identify monitoring events, but a large number of invalid and redundant information seriously affects the analysis and judgment of anomalies or accidents, thus reducing the efficiency of power network monitoring and threatening the security of the power grid. In this paper, we use time-delay, decision tree and hash technology to filter the invalid alarms with frequent actions, automatically restore and repetition. The experimental results show that our alarms optimization scheme can improve the effectiveness of information and improve the level of power equipment monitoring and management.

关键词： Information filters power grids Decision trees Security Time complexity Monitoring Optimization

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Hierarchical Multi-Agent Deep Reinforcement Learning for Multi-Objective dispatching in Smart Grid

Hierarchical Multi-Agent Deep Reinforcement Learning for Mul...

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Chinese automation Congress (CAC)

作者： Nan Yang Xinhang Li Yupeng Huang Menghao Xiao Zhe Wang Xuri Song Lei Li Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781665426480

Due to the expansion of new energy sources, the complexity and difficulty of power grid dispatching are further increased, especially simultaneously considering security, economic and environmental factors. Existing power grid dispatching methods, such as the bisection method and proportional control, are not competent for the multi-objective complex dispatching. This paper proposes a hierarchical multi-object deep deterministic policy gradient (HMO-DDPG) algorithm to dispatch the smart grid with new energy sources. In this algorithm, the lower Decision Layer uses multi-agent architecture to make decisions for every generator unit, while the upper Optimization Layer evaluates the security, economic and environmental factors of the decisions in the whole power grid. Besides, a double evaluation mechanism deployed in the two layers is proposed to make the decision more reasonable and comprehensive. Moreover, a topology analysis method is used to avoid the islanding problem during smart grid dispatching. Experiments carried out on the power grid simulator provided by China Electric power research Institute show HMO-DDPG can enable the power grid to operate safely for over 80% days of a year without exceeding the thermal stability limit of all branches. Moreover, the economic cost is 1.80% less, and the utilization rate of new energy is 70.48% higher than that of the traditional dispatching methods on average.

关键词： Costs Uncertainty dispatching Environmental factors Stability analysis Smart grids Topology

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A Review of Reliability, Vulnerability and Resilience Analysis of Smart Grid Based on Complex Network

A Review of Reliability, Vulnerability and Resilience Analys...

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IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)

作者： Linglin Gong Yizhuo Zhang Minghao Yang Yujia Li Fang Liu Qi Yao Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute) Beijing China School of Reliability and Systems Engineering Beihang University Beijing China

ISBN: (纸本)9781665478373

As a safety-critical system, the reliable operation of smart grids is crucial to economic prosperity and social stability, and reliability analysis and evaluation is one of the effective means of achieving this goal. With smart grids continue to grow in size and complexity, complex network analysis are of useful to understand salient properties of complex systems by modeling smart grids as network system. In light of this, many studies analyze the reliable degree of smart grid from multiple scales reliability, vulnerability, resilience, stability, robustness, survivability, etc. Whereas, those concepts are both different and similar to each other, which tend to be confusing for beginners. This paper holds that reliability, vulnerability and resilience are three important concepts which can representatively describe the reliability level of network of smart grid during and after perturbation, and aims to provide a focused overview of complex networks-based reliability, vulnerability, and resilience analysis for smart grid. We hope this survey will bridge academic researchers and industry engineers in adopting appropriate issues for possibly depth future cooperation.

关键词： Complex networks Software quality power system stability Stability analysis Smart grids Software reliability Complexity theory

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A Method for Accurate Analysis of Reserve Capacity Based on Electricity Spot Market

A Method for Accurate Analysis of Reserve Capacity Based on ...

引用

IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Guichuan Yuan Fu Su Hu Chen Yi Lu Zheng Huang Zhi Cai State Grid Sichuan Electric Power Supply Company Chengdu China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

Reserve capacity is essentially important for the safe and stable operation of power systems. In actual operation, the fluctuation of load, the intermittency of new energy, the instability of hydropower inflow, the blocking of section and other factors make it particularly difficult to accurately calculate the reserve capacity, which is especially highlighted in Sichuan power Grid with a high proportion of hydropower, complex cascade hydraulic relationship in basin and multiple safety constraints. Based on the construction of Sichuan electricity spot market, its application functions are expanded relying on the integrated data resources of the electricity spot market, and an alternative accurate analysis method is proposed on the basis of the declaration and clearing results of the generation side in the spot market and in consideration of hydrologic information constraint and section constraint, so as to automatically calculate the system reserve capacity and its distribution every 15 minutes to provide strong support for the comprehensive mastery of the system reserve in dispatching operation. The function has been successfully deployed in the technical support system of Sichuan electricity spot market, and its effectiveness has been verified by actual operation.

关键词： Electrical engineering Fluctuations Asia Hydroelectric power generation Manuals Hydraulic systems power system stability

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Market Clearing with Participation of Cascade Hydropower Stations Based on Variable Dimension Reduction

Market Clearing with Participation of Cascade Hydropower Sta...

引用

IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Zhi Cai Chuancheng Zhang Chi Zhang Yi Sun Guofang Zhang Dawei Zhang Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China State Grid Sichuan Electric Power Supply Company Chengdu China

The optimal dispatching model of cascade hydropower stations features vibration zones, time-delay and nonlinearity. As for the market clearing problem, it is required to increase more discrete variables. At the same time, the network security constraints of hydropower output channels in large hydropower provinces are complex, so that the calculation time increases significantly. In this paper, first, considering the hydro-power coupling constraints, the variables and constraints related to the vibration zone and water level are compressed; then, by Benders decomposition method, the clearing problem is decomposed into the main problem of optimization without security constraints and the sub-problem of network power flow security constraints. In the sub-problem, the unit adjustment value is screened to centralize the units that make a little contribution to security and economy, so as to achieve further compression of unit variable and reduction of solving dimension. Finally, we analyze the calculation example based on the actual power grid data, and the results show that the proposed variable dimension reduction method can effectively reduce the market clearing time with participation of cascade hydropower stations.

关键词： Dimensionality reduction Vibrations Couplings Electrical engineering Hydroelectric power generation Reservoirs power grids

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Ultra-short-term bus load forecasting method based on multi-source data and hybrid neural network 4

Ultra-short-term bus load forecasting method based on multi-...

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

作者： Fan, Shixiong Liu, Xingwei Ma, Weiwei Zhang, Wei China Electric Power Research Institute Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China Global Energy Interconnection Research Institute Co. Ltd. State Key Laboratory of Advanced Power Transmission Technology Beijing China National Power Dispatching and Control Center State Grid Corporation of China Beijing China

ISBN: (纸本)9781728196060

Bus load forecasting plays an important role in terms of the safety of power grid dispatching and operation and the accuracy of online analysis and decision-making. In order to improve accuracy of bus load forecasting, this paper proposes an ultra-short-term load forecasting method based on multi-type data and hybrid model. Under the background of power big data, the multi-type data such as historical bus load data, date information and weather information are firstly taken as the input features of the prediction model, which is established based on the fusion of back propagation (BP-ANN) neural network and convolutional neural network(CNN). BP-ANN is used to extract the feature vectors of numeric type and category type data, which is concatenated with feature vectors extracted by CNN from image type data. The combined features are fed to a fully connected multilayer Neural Network to predict the bus load. In this paper, the historical data of active power load at the high voltage side of a 220kV substation in a certain area of China and the corresponding weather information are used for example analysis. The analysis of experimental results shows that the proposed method can make full use of the characteristics of multi-source data to conduct ultra-short-term bus load prediction, and it has higher load prediction accuracy compared to the single model prediction of BP-ANN and CNN. © 2020 IEEE.

关键词： Convolutional neural networks

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research on Consistency Tracing technology of dispatching Control Model Data based on Blockchain

Research on Consistency Tracing Technology of Dispatching Co...

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IEEE Advanced Information technology, Electronic and automation Control Conference (IAEAC)

作者： Zhoujie Zhang Can Cui Lei Tao Jiaqi Wang Dapeng Li Shuzhou Wu Qiong Feng Qingbo Yang Jian Chen Jie Zhang Peng Zhang Zhijun Zhang Beijing Key Lab of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China State Grid Tianjin Electric Power Company Tianjin China State Grid Jibei Electric Power Company Beijing China

ISBN: (数字)9781728180281

ISBN: (纸本)9781728180298

In the era of big data and artificial intelligence development, data has become an important asset. Open data ecology has become an inevitable choice to promote business success. In the process of data open sharing, data provenance technology can supervise the data sharing path among multiple entities, and protect the interests of data owners. This paper proposes a data provenance technology for dispatching and control data based on blockchain. Firstly, a data provenance model is designed based on blockchain, which describes the provenance process of dispatching and control model ***, the distributed ledger of blockchain is used to record the data sharing path described by the data traceability ***, the automatic implementation of provenance process is realized by using smart contract of blockchain.

关键词： Biological system modeling Smart contracts Distributed databases Process control Blockchain Data models dispatching

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research and application of key technologies for B/S man-machine interface

Research and application of key technologies for B/S man-mac...

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IEEE Information technology, Networking, Electronic and automation Control Conference

作者： Yan Lv Yuanyuan Li Xiaolin Qi Yi Han Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology

ISBN: (数字)9781728143903

ISBN: (纸本)9781728143910

A B/S (browser/server) human-machine interface architecture of separate front-end and back-end is proposed. The micro-services architecture is used to develop the services in the service layer. The standardized service publishing/discovery mechanism, uniform format for message data encapsulation and message subscription theme are implemented to support multiple applications. A new CIM/G graphics conversion method is illustrated which can convert CIM/G graphics to SVG graphics and provide more information for better graphics display. The real-time data push method based on WebSocket is designed to realize pushing multiple graphics data with single WebSocket connection. The B/S human-machine interface has been running stably for more than half a year, compared with the traditional human-machine interface, it can display graphics data in a faster and more efficient way to fulfil requirements of application data display.

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research on safety protection technology of containerization application based on probe detection

Research on safety protection technology of containerization...

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IEEE Joint International Information technology and Artificial Intelligence Conference (ITAIC)

作者： Liu Dong Li Yujia Cui Can Huang Yunhao Di Fangchun Beijing Key Lab of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

With the continuous development of container technology, the scale of dispatching control cloud is expanding, and the relationship between container applications on cloud platform is becoming more and more complex. The intelligent probe technology is used to detect the health status of the container to ensure the normal operation of the container application, thus ensuring the safe and stable operation of the dispatching control cloud platform, and providing strong support for the scheduling of the smart grid. In this paper, the health status of containerized application is detected by the container probe detection technology. The results show that the container probe detection technology has an obvious role in prolonging the life cycle of containerized application.

关键词： Containers dispatching Smart grids Safety Probes Information technology Monitoring

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