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

共 154 条记录，以下是61-70 订阅

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An Auxiliary Decision-Making Model through Comprehensive Utilization of Multi-type Active power Adjustment Resources

An Auxiliary Decision-Making Model through Comprehensive Uti...

引用

International Conference on power and Energy technology (ICPET)

作者： Zhengping Chen Fangdong Wang Xichen Tian Yan Lv Wenjian Wang Zhi Cai State Grid Fujian Electric Power Dispatching and Control Center State Grid Fujian Electric Power Company Fuzhou China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

As the construction of the new power system progresses, the marked increase in the penetration rate of renewable energy, the intensified coupling of multi-energy systems, the closer interconnection among regional power grids, and the accelerated advancement of electricity market reforms have significantly heightened the complexity and uncertainty of the system. These developments pose substantial challenges to the existing dispatching technologies. In this paper, an auxiliary decision-making model through comprehensive utilization of multi-type active power adjustment resources is proposed. Firstly, the paper presents the framework of the auxiliary decision-making model. Then, the paper proceeds meticulously to establish the auxiliary decision-making model, including variables, the objective and constrains. Finally the validity of the model is verified using actual grid data from a specific region.

关键词： Solid modeling Uncertainty power supplies Decision making dispatching Regulation power grids Security Synchronization Load modeling

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Intra-Day Rolling Optimal Strategy Considering Whole Dispatch Process and Multi-Type Adjustable Measures

Intra-Day Rolling Optimal Strategy Considering Whole Dispatc...

引用

IEEE International Conference on power and Energy Applications (ICPEA)

作者： Wenzhong Li Duanhong Zhang Xichen Tian Yan Lv Zhengqi Xu Jingfeng Liang State Grid Fujian Electric Power Dispatching and Control Center State Grid Fujian Electric Power Company Fuzhou China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (数字)9798350356113

ISBN: (纸本)9798350356120

The current electric power system practices hierarchical and zonal administration to facilitate more effective monitoring of grid safety and event management. With an escalating integration of new energy sources on the generation side, the intrinsically variable nature of these resources introduces substantial uncertainties into grid operations. Meanwhile, on the demand side, load profiles are diversifying further, significantly influenced by weather conditions, market price signals, or incentive schemes, thereby adding another layer of unpredictability. Against this context, this paper proposes an intra-day rolling optimal strategy considering whole dispatch process and multi-type adjustable measures. By synthesizing regulating resources from both the source and load sides, it undertakes a series of intra-day rolling optimization decisions across the entire dispatch workflow. This strategy aims to harmonize and optimize the allocation of various resources, thereby ensuring the secure and stable functioning of the electrical grid amidst the complexities introduced by the integration of intermittent renewables and the dynamics of diversified loads.

关键词： Renewable energy sources power measurement Uncertainty power supplies Process control Robustness Safety power system reliability Resource management Optimization

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A Dynamic Price Zone Partitioning Strategy for Cross-Regional Market Transaction 5

A Dynamic Price Zone Partitioning Strategy for Cross-Regiona...

引用

5th International Conference on Energy, Electrical and power Engineering, CEEPE 2022

作者： Cui, Hui Yang, Xiaonan Cheng, Dong Wang, Jianxiao Li, Jing Zhu, Junfei China Electric Power Research Institute Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China North China Electric Power University School of Electrical & Electronic Engineering Beijing China State Grid Hunan Electric Power Company Changsha China

ISBN: (纸本)9781665479059

The reform of China's electricity market continues to deepen, the proportion of cross-regional transactions continues to increase, and the cross-regional power market needs to be further improved. Northern Europe has a relatively mature regional electricity price mechanism, which has great guiding significance for the construction of China's cross-regional and cross-provincial power market. This paper analyzes the applicability of the Nordic transnational electricity market clearing and congestion management model in China. The cross-regional market clearing method based on Locational Marginal Prices (LMP) and the flow-based (FB) model for cross-regional transmission capacity calculation are used for dynamic price zone partitioning and management. After considering the influence of geographical location and locational marginal electricity price, a k-means clustering model is used for price zone partitioning, and all transaction between price zones can be solved by FB model. A case study based on an IEEE 30-node system demonstrates the effectiveness of the proposed dynamic price zone partitioning strategy, which can better reflect the price signal and realize the optimal allocation of resources. © 2022 IEEE.

关键词： Economics Analytical models power engineering power system dynamics Europe Electricity supply industry Dynamic scheduling

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evaluation of Autonomous Controllability of Computer Equipment in Control system Based on FAHP

Evaluation of Autonomous Controllability of Computer Equipme...

引用

IEEE Information technology and Mechatronics Engineering Conference (ITOEC)

作者： Linglin Gong Wenzhuo Li Yalei Li Xiaoping Liu Haiyan Zhang China Electric Power Research Institute Co. Ltd Beijing Key Laboratory of Power Automation Technology Research and System Evaluation

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

As the "brain" of power grid dispatching operation, the control system gradually requires higher levels of autonomy and controllability of the system and equipment. However, the localization level of computer equipment chips used in current system construction needs to be improved, and autonomous and controllable applications are subject to certain constraints. This article analyzes the necessity of autonomous and controllable evaluation of control system computer equipment, clarifies the scope and principles of evaluation, and constructs a complete set of indicators, methods, and processes for autonomous and controllable evaluation of computer equipment around multiple dimensions, comprehensively and accurately evaluating the autonomous and controllable capabilities of the entire equipment and its components.

关键词： Location awareness Mechatronics evaluation models Process control Controllability Software power grids Hardware Software reliability Information technology

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Method for LSTM-Based Cascade Hydropower Plant Scheduling 33

Method for LSTM-Based Cascade Hydropower Plant Scheduling

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第33届中国控制与决策会议

作者： Zhi Cai Guofang Zhang Yi Lu Yuxuan Li Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute State Grid Sichuan Electric Power Supply Company

ISBN: (纸本)9781665431293

With the increase of the number of cascade hydropower plants and the increase of the discrete number of state variables in the time period to obtain more high-precision solutions,the calculation time increases exponentially,which makes it difficult to optimize through physical ***,a data-driven cascade hydropower plant scheduling method with self-learning abilities is ***,perform cluster pre-processing of the historical dispatching data of hydropower plants in the scheduling scope with K-means algorithm;secondly,establish a deep learning model of cascade hydropower plant schedules based on long short-term memory(LSTM),and build the mapping model among system load,water regimen and hydropower plant schedule through historical data training,to make a decision,finally,continuously correct the model by accumulating the historical data,so that it has the ability of self-evolution and *** make case analysis based on the actual power grid data,and the calculation results show the effectiveness of the proposed method.

关键词： Cascade hydropower Generation schedule Deep learning Long short-term memory K-means cluster

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Adaptive Heuristic Method Based on Reduced Costs and Physical Characteristics of power Grid

Adaptive Heuristic Method Based on Reduced Costs and Physica...

引用

IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Shengnan Xu Qiang Ding Yanguang Chen Linghao Li Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China 5Paradigm Technology (Shenzhen) Co. Ltd. Shenzhen China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

In order to improve the efficiency of solving unit commitment problems, an adaptive heuristic method based on reduced costs and physical characteristics of the power grid is proposed to address the problem of large scale, complex constraints and variables, and difficulty in finding high-quality feasible solutions. Firstly, the physical characteristics of the power grid, the optimal solution to the relaxation problem, and the reduced costs of 0-1 variables for the power model are identified and obtained. Then, based on the model characteristics and relaxation information, accurate variable values are fixed and induced, and the number of fixed variables is adjusted according to the feasibility of constraints until all constraints are met. Finally, finding the optimal solution to the problem with fixed variables. The test results of the numerical examples show that the algorithm can quickly obtain high-quality feasible solutions to the original problem, effectively improving the efficiency of solving the unit commitment problem.

关键词： Costs Accuracy Heuristic algorithms Energy Internet system integration power grids Numerical models Mixed integer linear programming Object recognition

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A Machine Learning-Assisted Decomposition Method for Efficient Unit Commitment Solving in ESS system

A Machine Learning-Assisted Decomposition Method for Efficie...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Qiang Ding Linghao Li Yanguang Chen Shengnan Xu Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China 5Paradigm Technology (Shenzhen) Co. Ltd. Shenzhen China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

In this study, we propose a novel decomposition method that decomposes the model by predicting the energy values of storage units at each time step. We also introduce a feasibility detection method to ensure problem feasibility and enable warm-starting. Experimental results demonstrate that our algorithm outperforms traditional methods in rapidly exploring the feasible region and significantly accelerating solution times, thereby enhancing optimization efficiency for energy system scheduling.

关键词： Machine learning algorithms systems operation Refining Machine learning system integration Predictive models Prediction algorithms Scheduling Problem-solving Optimization

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research on Ship Target Recognition in Optical Remote Sensing Image Based on Local Feature Matching 2

Research on Ship Target Recognition in Optical Remote Sensin...

引用

2nd IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2021

作者： Li, Lai Ma, Xinxin Liu, Xiaohui Unit 91039 of the PLA Beijing China China Beijing Key Lab of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (纸本)9781665428767

In modern naval warfare, ship target is an important combat force on the battlefield of naval warfare. Different types of ship target have differences in combat mode and combat positioning. In order to accurately grasp the enemy combat ship movement, accurately analyze the enemy combat intention and firepower coverage in the naval battle field, the accurate identification of the ship target becomes a key problem. In this paper, a ship target type recognition method based on SIFT feature and Harris corner feature matching is proposed in view of the close size and similar appearance of different types of ship targets. © 2021 IEEE.

关键词： Optical remote sensing

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Accelerating Mixed-Integer Optimization in Energy Storage systems: A Novel Approach Using Heuristics, Interior Point Methods, and Clustering

Accelerating Mixed-Integer Optimization in Energy Storage Sy...

引用

IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Qiang Ding Zhi Cai Yanguang Chen Shengnan Xu Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China 5Paradigm Technology (Shenzhen) Co. Ltd. Shenzhen China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

In this study, we propose a novel approach to accelerate online mixed-integer optimization using heuristics, the interior point method, and an integrated clustering and sorting technique. Our method constructs a Cardinality cutting plane that leverages linear programming (LP) solutions without the CROSSOVER step, forming a feasible region for cutting plane segmentation. It carefully configures parameters to ensure feasibility and utilizes 0-1 variables derived from clustering energy storage device information. Our method seamlessly integrates into any Mixed-Integer Programming (MIP) solver. Empirical results show that our algorithm outperforms traditional methods in rapidly exploring feasible regions and significantly accelerates lower bound improvements, enhancing optimization efficiency for energy system scheduling.

关键词： Lower bound systems operation system integration Programming Scheduling Problem-solving Optimization Tuning Sorting Energy storage

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Accelerated SCUC Solution: Integrating Cutting Planes, Interior Points, and Rounding Heuristics

Accelerated SCUC Solution: Integrating Cutting Planes, Inter...

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power Engineering (ICPE), International Conference on

作者： Zhi Cai Xiaojing Hu Yanguang Chen Shengnan Xu Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China R&Development Department Cardinal Operations (Beijing) Co. Ltd Beijing China

ISBN: (数字)9798331531140

ISBN: (纸本)9798331531157

In this research contribution, we present a novel approach aimed at accelerating online mixed-integer optimization by leveraging heuristic ROUNDING techniques and interior point methods. The cornerstone of our method lies in the construction of a Cardinality cutting plane. This Cardinality cutting plane method effectively harnesses the solution of linear programming (LP) without incorporating the CROSSOVER procedure within the interior point method. It ingeniously forms a feasible area for the segmentation of cutting planes while meticulously configuring the relevant parameters to ensure their viability. Notably, our method seamlessly integrates into any Mixed-Integer Programming (MIP) solver. Our empirical findings decisively demonstrate the superior performance of the proposed algorithm compared to conventional direct solution methods, particularly in terms of its agility in rapidly exploring feasible regions. Additionally, our algorithm exhibits a remarkable acceleration in improving the lower bound. This enhancement significantly enhances the efficiency of solving optimization problems, offering a promising avenue for effectively addressing the complexities of energy system scheduling.

关键词： Lower bound power engineering Refining Programming Linear programming Problem-solving Iterative methods Optimization Standards Convergence

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