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Low-carbon Economic dispatch of Integrated Energy systems Considering Extended Carbon Emission Flow

Journal of Modern power systems and Clean Energy 2024年第6期12卷 1798-1809页

作者： Yumin Zhang Pengkai Sun Xingquan Ji Fushuan Wen Ming Yang Pingfeng Ye Shandong University of Science and Technology Qingdao 266590China Hainan Institute Zhejiang UniversitySanya 572000China School of Electrical Engineering Zhejiang UniversityHangzhou 310027China Key Laboratory of Power System Intelligent Dispatch and Control Shandong UniversityJinan 250061China

Carbon capture and storage(CCS)systems can provide sufficient carbon raw materials for power-to-gas(P2G)systems to reduce the carbon emission of traditional coal-fired units,which helps to achieve low-carbon dispatch of integrated energy systems(IESs).In this study,an extended carbon-emis-sion flow model that integrates CCS-P2G coordinated operation and low-carbon characteristics of an energy storage system(ESS)is *** the energy supply side,the coupling rela-tionship between CCS and P2G systems is established to realize the low-carbon economic operation of P2G *** the en-ergy storage side,the concept of"state of carbon"is introduced to describe the carbon emission characteristics of the ESS to ex-ploit the potential of coordinated low-carbon dispatch in terms of both energy production and *** addition,a low-car-bon economic dispatch model that considers multiple uncertain-ties,including wind power output,electricity price,and load de-mands,is *** solve the model efficiently,a parallel multidimensional approximate dynamic programming algo-rithm is adopted,while the solution efficiency is significantly im-proved over that of stochastic optimization without losing solu-tion accuracy under a multilayer parallel loop nesting *** low-carbon economic dispatch method of IESs is composed of the extended carbon emission flow model,low-car-bon economic dispatch model,and the parallel multidimension-al approximate dynamic programming *** effective-ness of the proposed method is verified on E14-H6-G6 and E57-H12-G12 systems.

关键词： Low-carbon economic dispatch carbon emission flow state of carbon parallel multidimensional approximate dynamic programming integrated energy system(IES)

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Small Signal Synchronous Stability Analysis of Grid-Connected VSC in Weak Grid 37th

Small Signal Synchronous Stability Analysis of Grid-Connecte...

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37th Annual Conference on power system and Automation in Chinese Universities, CUS-EPSA 2022

作者： Wang, Yong Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China

ISBN: (纸本)9789819914388

This paper investigates the small signal synchronization stability problem of grid-connected converter based on phase-locked control in weak grid. Firstly, with the objective of mechanically revealing the synchronization characteristics of the grid-connected converter, a Heffron-Phillips dynamics model is established for the analysis of the synchronization stability of the grid-connected converter by analogizing its synchronization dynamics with that of the traditional synchronous machine. By referring to the traditional low-frequency oscillation analysis idea of power system, the damping of synchronous oscillation mode dominated by phase-locked loop (PLL) is divided into two parts: the inherent damping component of PLL itself and the additional damping component introduced by complex control coupling in weak grid. Then the synchronous stability mechanism of the grid-connected converter in weak grid is revealed from the perspective of the damping characteristics. And from the perspective of the influence of the inherent or additional damping components, the influence of the controller parameters on the synchronous stability of small signal is investigated. The results of this paper clearly reveal the mechanism of synchronous instability of grid-connected converter in weak power grid, and indicate the way for the subsequent synchronous stability control. © 2023, State Grid Electric power.

关键词： Phase locked loops

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Adaptive Internal Time-Step Adjustment of Elementary Transfer Function Blocks for Trapezoidal Integration in power system Dynamic Simulations

Adaptive Internal Time-Step Adjustment of Elementary Transfe...

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2023 International Conference on power system Technology, powerCon 2023

作者： Hang, Yun Li, Changgang Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong Jinan China

ISBN: (纸本)9798350300222

With the development of renewable energy sources, the scale and complexity of power systems are continuously increasing, resulting in a high requirement for the efficiency of dynamic simulation. To enhance the overall simulation speed, this paper proposes an adaptive internal time-step adjustment method of elementary transfer function blocks for Trapezoidal integration in power system dynamic simulations. For blocks with different time constants, three integration modes are defined, including single-step integration, multiple-step integration, and static approximation. Each block can select an appropriate integration mode and adaptively adjust its internal time-step. Implementation of static approximation for blocks with small time constants is given. The proposed method is applied to the open-source Simulation Toolkit for Electrical power systems (STEPS). The IEEE 9-bus test system is tested to obtain the maximum simulation time-step that can maintain numerical stability and validate the efficiency of the proposed method. © 2023 IEEE.

关键词： Integration

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Multi-dimensional Visualization Method of SCD File Information of intelligent Substation Based on Knowledge Graph 6

Multi-dimensional Visualization Method of SCD File Informati...

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6th International Conference on Energy, Electrical and power Engineering, CEEPE 2023

作者： Wang, Feng Li, Yiquan Tan, Qian Wu, Ziliang Suo, Jianglei Gu, Qianshuo Power Dispatching Control Center Guangdong Power Guangzhou China Shangdong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9798350348279

The structure of intelligent substation SCD file is complex, and there are many layers of information. Different functions have corresponding information basis, and often need to be associated across multiple information nodes, resulting in poor visualization. This paper presents a multi-dimensional visualization method of SCD file information of smart substation based on knowledge graph. Firstly, the file structure and function structure of SCD text expression are analyzed. Then the SCD file node is extended and the seven-step method is adopted to construct the intelligent substation ontology, which is realized by Protégé. The knowledge graph of substation is constructed by using ontology and relationship between SCD nodes. The graph expression of SCD is completed, and the visualization of file structure information is realized. The information path of functions such as the correlation between primary and secondary devices and the correlation between virtual and real circuits is mined. The information nodes in the path are searched in the SCD knowledge graph to realize the visualization of functional structure information. The above work was done through Neoj4, Python. The simulation results show that knowledge graph can decouple SCD information and realize multi-dimensional visualization of information with a high degree of visualization, which can provide guidance for operation and maintenance and information retrieval. © 2023 IEEE.

关键词： Visualization

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A Data Storage Method of intelligent Substation Based on Physical Model

A Data Storage Method of Intelligent Substation Based on Phy...

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2023 International Conference on power Energy systems and Applications, ICoPESA 2023

作者： Liu, Shidan Tan, Qian Suo, Jianglei Chen, Xiaowa Jiao, Shaolin Wang, Feng Li, Yiquan Gu, Qianshuo Power Dispatching Control Center Guangdong Power Guangzhou China Shangdong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9798350345605

In view of the sharp increase in the amount of data in intelligent substations at present, the gap between the data transmission mode and the data storage mode is large, resulting in the problem of low data storage efficiency. This paper presents a data storage method of intelligent substation based on physical model. Firstly, this paper analyzes the data transmission mode of IEC 61850, introduces the object-oriented modeling technology of IEC 61850, the relationship between various configuration files, and the tree structure of the transmitted data. Then, this paper introduces the concept, structure and characteristics of the physical model. Build a physical model of the device based on the CID (Configured IED Description) file of the device, and form a device self-describing JSON file. After then, according to the characteristics of each service in the physical model, this paper uses different types of databases to store the data under this service. Finally, this paper develops and applies the method, and completes the back-to-back data storage model of a substation equipment. The experimental results show that the functional requirements and performance indicators of the developed substation data storage method can achieve the desired goals and effectively improve the efficiency of data storage. © 2023 IEEE.

关键词： Storage efficiency

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Multi-Lever EarlyWarning forWind and Photovoltaic power Ramp Events Based on Neural Network and Fuzzy Logic

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Energy Engineering 2024年第11期121卷 3133-3160页

作者： Huan Ma Linlin Ma Zengwei Wang Zhendong Li Yuanzhen Zhu Yutian Liu Power Grid Technology Center State Grid Shandong Electric Power Research InstituteJinan250003China Shandong Electric Power Dispatching and Control Center State Grid Shandong Electric Power CompanyJinan250012China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan250061China

With the increasing penetration of renewable energy in power system,renewable energy power ramp events(REPREs),dominated by wind power and photovoltaic power,pose significant threats to the secure and stable operation of power *** paper presents an early warning method for REPREs based on long short-term memory(LSTM)network and fuzzy ***,the warning levels of REPREs are defined by assessing the control costs of various power control ***,the next 4-h power support capability of external grid is estimated by a tie line power predictionmodel,which is constructed based on the ***,considering the risk attitudes of dispatchers,fuzzy rules are employed to address the boundary value attribution of the early warning interval,improving the rationality of power ramp event early *** results demonstrate that the proposed method can generate reasonable early warning levels for REPREs,guiding decision-making for control strategy.

关键词： Early warning machine learning power system security renewable energy power ramp event smart grid

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Forecasting-Aided Voltage Estimation for Distribution Network Considering the Integrated Management of Virtual power Plants Platform 7

Forecasting-Aided Voltage Estimation for Distribution Networ...

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7th IEEE Student Conference on Electric Machines and systems, SCEMS 2024

作者： Jia, Yujian Liu, Zhao Kan, Changtao Yu, Yue Li, Changgang State Grid Jinan Power Supply Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350366945

As more distributed energy sources integrate into distribution networks, issues such as voltage fluctuations and reduced observability become increasingly prominent. Therefore, this paper proposes an algorithm for forecasting-aided state estimation (FASE) in virtual power plants' integrated operation management platform. Firstly, a Bidirectional Long Short-Term Memory (BiLSTM)-Extended Kalman Filter (EKF) algorithm for distribution network FASE is introduced. Secondly, the integrated management of virtual power plant platforms (IM-VPPP) enhances the observability of distribution networks. To evaluate the performance of the proposed method, simulations are conducted using the IEEE 33-bus standard distribution system. Results demonstrate significant advantages of the algorithm in terms of accuracy and robustness. © 2024 IEEE.

关键词： power distribution networks

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Bayesian Network Based Imprecise Probability Estimation Method for Wind power Ramp Events

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Journal of Modern power systems and Clean Energy 2021年第6期9卷 1510-1519页

作者： Yuanchun Zhao Wenli Zhu Ming Yang Mengxia Wang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University State Grid Jinan Power Company

Although wind power ramp events(WPREs)are relatively scarce,they can inevitably deteriorate the stability of power system operation and bring risks to the trading of electricity *** this paper,an imprecise conditional probability estimation method for WPREs is proposed based on the Bayesian network(BN)*** method uses the maximum weight spanning tree(MWST)and greedy search(GS)to build a BN that has the highest fitting degree with the observed ***,an extended imprecise Dirichlet model(IDM)is developed to estimate the parameters of the BN,which quantificationally reflect the ambiguous dependencies among the random ramp event and various meteorological *** BN is then applied to predict the interval probability of each possible ramp state under the given meteorological conditions,which is expected to cover the target probability at a specified confidence *** proposed method can quantify the uncertainty of the probabilistic ramp event ***,by using the extracted dependencies and Bayesian rules,the method can simplify the conditional probability estimation and perform reliable prediction even with scarce *** results on a real wind farm with three-year operation data illustrate the effectiveness of the proposed method.

关键词： Bayesian network(BN) conditional probability imprecise Dirichlet model(IDM) imprecise probability wind power ramp events

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Low-Carbon dispatch Strategy for Virtual power Plant Based on Bagging Ensemble Learning Forecasting Method 7

Low-Carbon Dispatch Strategy for Virtual Power Plant Based o...

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7th IEEE Student Conference on Electric Machines and systems, SCEMS 2024

作者： Li, Guang Dong, Xin Li, Li Yu, Yue Li, Changgang State Grid Jinan Power Supply Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350366945

Virtual power plants (VPPs) struggle with peak-shaving due to unreliable distributed generation (DG) data and the intermittent nature of wind and solar power, impacting carbon emissions. This paper proposes a low-carbon dispatch strategy for VPPs based on a Bagging ensemble forecasting model. Firstly, a VPP dispatch framework based on DG output and load forecasting is established, and a Bagging ensemble forecasting model with feature selection is proposed. Secondly, the control characteristics of flexible industrial, commercial, and residential loads are analyzed to establish a control cost model, which is then integrated with the balanced relationship between wind, photovoltaic, and energy storage, as well as the carbon emission mechanism, to formulate a low-carbon dispatch model. Finally, the simulation results show that the proposed strategy can improve the accuracy of DG output and load forecasting in complex feature environments while realizing the interaction between source-grid-load and reducing the generation and operation costs of the grid. © 2024 IEEE.

关键词： Carbon capture and utilization

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Relay Protection Setting Management system and Method Based on Blockchain Encryption Technology

Relay Protection Setting Management System and Method Based ...

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2023 International Conference on power system Technology, powerCon 2023

作者： Chai, Qingfa Tang, Yi Wang, Quan Jiang, Jiayin Wang, Anning Li, Yudun Li, Congcong Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350300222

Aiming at the problems such as low efficiency of relay protection setting management and remote setting, risk of error in setting delivery and setting, and difficulty of quick warning of setting value mutation, this paper proposes a method of relay protection setting management and remote setting based on hash value check. A remote setting system of setting value is established, which is composed of block chain server, substation centralized control master station, control cloud platform and protection device. The setting value is set and transferred remotely in the form of file. The block hash encryption of the setting value file is carried out, and the block chain provides reliable data storage and transmission services, so that the setting value file cannot be tampered with in the flow of all parts. Ensure the high reliability of relay protection remote setting. The engineering test results show that the proposed method is reliable and effective, and can provide technical support for the reliable automatic setting of setting values. © 2023 IEEE.

关键词： Blockchain

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