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2021 IEEE Sustainable power and Energy Conference, iSPEC 2021

作者： Ma, Yue Chu, Xiaodong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education jinan China

ISBN: (纸本)9781665414395

During the past 13th Five-Year Plan period, China's power grid development has made major achievements that proportion of new energy power generation has continued to increase, and major breakthroughs have been made in power electronic technology and high-voltage direct current transmission. With the continuous applications of new technologies in the power system, transmission and distribution losses are reduced, operation efficiency of power grid is significantly improved in order to adapt to the new changes in the power grid, power grid asset investment (PGAI) and production cost (PC) have also shown a new trend along with the development of the power grid. Predicting the PGAI and PC of modern power grids is of great significance for power grid asset management, development trend forecasting and investment decision-making. A forecast method is proposed for PGAI and PC based on regression analysis in this paper. The case study results of a provincial power grid verify the effectiveness of proposed forecast method. © 2021 IEEE.

关键词： Investments

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Low-carbon economic dispatch of power system based on mobile hydrogen storage 2

Low-carbon economic dispatch of power system based on mobile...

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2022 2nd International Conference on Energy Engineering, New Energy Materials and Devices, NEMD 2022

作者： Li, Panpan Wang, Rui Xia, Shiwei Zhang, Feng School of Electrical and Electronic Engineering North China Electric Power University Beijing102206 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan250061 China

To alleviate the global warming crisis, carbon reduction is an inevitable trend of sustainable development. The energy carrier with Hydrogen (H2) is considered to be one of the promising choices for realizing a low-carbon economy. With the increasing penetration level of wind power generation and for well-balancing wind generaion fluctuations, this paper proposes a low-carbon economic dispatch method for power systems based on mobile hydrogen storage(MHS). The wind power surplus during off-peak load periods is first utilized to generate green H2. Afterward, the green H2 is optimally transported to multiple hydrogen storage(HS) stations for generating power electricity by flexibly controlling the electrolysis(EL), methanation(ME), carbon capture(CCS) and H2 power generation processes, in such a way the wind power is coordinated with the hydrogen production, transport and utilization to reduce the total carbon emission and minimize the operation cost of power systems. Finally the proposed power system low-carbon economic dispatch model is verified by case studies. © Published under licence by IOP Publishing Ltd.

关键词： Global warming

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Probabilistic Planning of Transmission Network Considering Operational Flexibility of power system 4

Probabilistic Planning of Transmission Network Considering O...

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4th International Conference on Smart power and Internet Energy systems (SPIES)

作者： Li, Jianjie Li, Ping Li, Peng Guo, Junshao Wang, Mingqiang Binzhou Elect Co Binzhou Shandong Peoples R China Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (纸本)9781665489577

The uncertainties about equipment failure will bring great challenges to the operation of transmission network. Therefore, it is important for transmission network to possess sufficient flexibility to accommodate the fluctuation of load and deal with unit failures. This paper proposes a probabilistic planning model of transmission network considering operational flexibility, which makes decision-making optimization for transmission network planning and reduces the influence of uncertainties about equipment failure. Moreover, the proposed model introduces the probability and expectation of up-flexibility-not-supplied (UFNS) and expected-energy-not-supplied (EENS), then uses penalty cost to quantify them, which enhances the reliability and economy of transmission network planning. Furthermore, the absolute value linearization method is used to linearize the expectation of UFNS and EENS, which greatly improves the calculation efficiency. The proposed model is solved using the CPLEX solver in General Algebraic Modeling system (GAMS). The practicality of model is verified by the IEEE-RTS system.

关键词： expected-energy-not-supplied operational flexibility transmission network probability planning up-flexibility-not-supplied

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A Novel Directional Pilot Protection for Flexible DC Distribution Grid

A Novel Directional Pilot Protection for Flexible DC Distrib...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Xiuyan Wei Guibin Zou Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Ji’nan China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

The existing directional pilot protection (DPP) is susceptible to the line distributed capacitance and the fault resistance, and mostly rely on the current limiting reactance (CLR) at the line ends. To solve the above problems, the line-mode fault component power (LFCP) based DPP is proposed for flexible DC distribution grid (FDCDG). First, the characters of LFCP are discussed under different faults. The theoretical analysis show that the polarity of the LFCP under internal fault is same, while the polarity of the LFCP is opposite under external fault. Then, the LFCP is built as the directional criterion, and the corresponding protection scheme is constructed. The electromagnetic transient simulations of the PSCAD/EMTDC verify that the proposed DPP is less affected by the noise, and has low requirement on the sampling rate, strong engineering applicability.

关键词： Resistance Electrical engineering Sensitivity Limiting Simulation Noise Capacitance

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Optimal PMU Configuration in Distribution Networks Based on Fault Diagnosis Capacity

Optimal PMU Configuration in Distribution Networks Based on ...

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IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)

作者： Wang, Yuehan Cao, Yongji Zhang, Hengxu Xu, Bosong Yu, Haotian Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Peoples R China Tech Univ Denmark Dept Elect Engn Lyngby Denmark

ISBN: (纸本)9781665416061

In the distribution network, the fault features are not obvious and easy to be affected by noise and transition resistance, making faulty line section detection very difficult. The two-way power flow caused by high proportion participation of renewable energy further threatens the accuracy of fault diagnosis system. A faulty line section detection method based on multi-source information (node unbalanced current and insufficient power flow) is proposed, the convolutional neural network is used because of its excellent generalization analysis ability, PMUs are optimally configured based on their fault diagnosis capabilities, a series of configuration methods are given for flexible choices. The method is based on clear physical characteristics, and simulations verify the effectiveness of faulty line section detection and the flexible configuration of measurement devices in the distribution network.

关键词： faulty line section location measurement devices placement deep learning flexible configuration

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Multitime Scale Active and Reactive power Coordinated Optimal dispatch in Active Distribution Network Considering Multiple Correlation of Renewable Energy Sources

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2021年第6期57卷 5614-5625页

作者： Chen, Shuai Wang, Chengfu Zhang, Zhenwei Shandong Univ Sch Elect Engn Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China

To improve the adaptability for renewable energy sources (RES), a multitime scale optimal dispatch method, which considers the multiple correlations of RES, is proposed in the active distribution network (ADN). The proposed method includes a multiple correlation model of RES and a scheduling framework. The multiple correlation model of RES is formulated by t Copula function, Sklar's theorem, and conditional distribution of multivariate t distribution. The multiple correlation model can estimate the forecast error of the future period according to the historical data and the latest prediction. The scheduling framework further employs the revised forecast to coordinate the fast/slow-response regulation resources in the ADN under three timescales. In the day-ahead stage, the operation state of slow-response resources is optimized and determined. In the intraday stage, the output of the fast-response resource, which is transferred to the real-time stage as reference trajectory, is optimized based on the short-term prediction. In the real-time stage, the stochastic model predictive control is adopted to adjust the output of fast-response resources based on ultra-short-term prediction and reference trajectory. Case analyses indicate that the proposed method can effectively reduce the voltage fluctuation, promote the utilization of demand-side resources, and improve the system economic performance by introducing the multiple correlation model.

关键词： Correlation Reactive power Predictive models Renewable energy sources Stochastic processes Predictive control Job shop scheduling Active distribution network (ADN) forecast error multiple correlation multitime scale dispatch stochastic model predictive control (MPC)

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Optimizing admissible region of nodal net load for active distribution network based on cost/benefit analysis

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2024年第PartB期155卷

作者： Hu, Y. X. Wang, M. Q. Liu, S. Yang, M. Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China State Grid Qingdao Power Supply Co Qingdao 266002 Peoples R China

As the proportion of renewable energy sources (RESs) increases, active distribution network (ADN) operation becomes a more challenging problem due to unpredictable nature of RESs. To address this problem, a new dynamic economic dispatch (DED) for ADN is proposed which can determine the optimal scheduling results based on cost/benefit analysis. Intervals with variable endpoints are applied to describe the nodal net load, which is also named as admissible region in this paper. The admissible region of nodal net load and other scheduling results are simultaneously determined by striking a balance between operation cost when net load varies within the corresponding intervals and benefit represented by reduction of operation risk when net load varies out of their intervals. To facilitate the solution, a new injection shift factor (ISF) of the linearized DistFlow branch equations is proposed, and the voltage magnitude and reactive power can be well addressed, which especially fits for ADN. A surrogate affine policy is applied to avoid the introduction of bilinear terms. And a new step-superimposing linearization method for risk cost is proposed by exploring the specific characteristics of risk cost expression, then binary variables can be eliminated in the model. Finally, this model is recast as a linear programming problem and the computation efficiency can be guaranteed. The validity and effectiveness of the proposed model are illustrated on the IEEE 33-node and 69-node distribution systems.

关键词： Admissible region Dynamic economic dispatch Injection shift factor Linearized DistFlow Linearization method Robust optimization

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Sequential power Flow Calculation for AC/DC Hybrid systems with Multi-terminal LCC-HVDC

Sequential Power Flow Calculation for AC/DC Hybrid Systems w...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Peng Wang Ruiyang Su Jian Wang Hang Qi Runjia Sun Changgang Li Hefeng Zhai Baoye Tian Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou China

ISBN: (数字)9798350373479

ISBN: (纸本)9798350373486

Line Commutated Converter based-high voltage direct current (LCC-HVDC) systems are an important support for large-scale renewable energy transmission. Compared with two-terminal LCC-HVDC, multi-terminal LCC-HVDC systems are flexible in control and reliable in power supply. However, the integration of multi-terminal LCC-HVDC brings great complexity to the operation modes and power flow of power systems. Therefore, it is very important to resolve the power flow calculation problems of AC/DC hybrid systems containing multi-terminal LCC-HVDC. This paper proposed a sequential power flow calculation algorithm for multi-terminal LCC-HVDC. Firstly, a steady-state model of multi-terminal LCC-HVDC was proposed considering control modes. Secondly, based on the steady-state model, a power flow calculation algorithm for AC/DC hybrid power systems containing multi-terminal LCC-HVDC is designed with sequential iteration methods. Finally, two cases with two-terminal and three terminal LCC-HVDC are tested to verify the accuracy of the proposed model and algorithm.

关键词： Electrical engineering Renewable energy sources power supplies Energy resolution Hybrid power systems Steady-state power system reliability

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Coordinated control Strategy for Active Support of power on Multiple Scenarios in Doubly-Fed Wind power and Synchronous Generator Bundled Delivery system

Coordinated Control Strategy for Active Support of Power on ...

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Energy Engineering and power systems (EEPS), International Conference on

作者： Wuneng Ling Zhencheng Liang Li Xiong Yangdou Liang Yin Wu Qiuquan Deng Zhuohang Liang Chengxiang Li Guangxi Power Grid Dispatch and Control Center Nanning China Guangxi Power Grid Dispatch and Control Center Nanning China Nanning China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (数字)9798350375138

ISBN: (纸本)9798350375145

Aiming at the problem of poor frequency characteristics of the delivery island in the case of large-scale wind power and synchronous generator bundled via Ultra-high-Voltage Direct Current (UHVDC) transmission system, a coordinated control strategy is proposed for doubly-fed wind power and synchronous generator to jointly support the frequency of the delivery system, and The frequency modulation setpoint for doubly-fed wind power is crafted to flexibly switch its active support mechanism in response to different scenarios., and effectively improves the frequency stability of the delivery island system of wind power and synchronous generator bundled with the wind power and the synchronous generator. Using RTlab, we constructed a simulation model integrating large-scale doubly-fed wind power and synchronous generators coupled with a DC transmission system. This model validates the efficacy of the control strategy proposed in this study..

关键词： Frequency modulation Doubly fed induction generators Wind power generation power system stability control systems Synchronous generators Stability analysis Wind turbines Frequency synchronization Frequency control

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Low-voltage power Supply Network Topology Identification Based on Measurement Data

Low-voltage Power Supply Network Topology Identification Bas...

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58th IEEE/IAS Industrial and Commercial power systems Technical Conference Asia (IEEE I and CPS Asia)

作者： Hu, Xuanzheng Cong, Wei Chai, Qingfa Lv, Jing Wang, Kechuan Hu, Chunhua Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China Yantai Dongfang Wisdom Elect Co Ltd Yantai Peoples R China

ISBN: (数字)9781665450669

ISBN: (纸本)9781665450669

The automatic identification of the topology of low-voltage power supply network is the basis for the intelligence of low-voltage distribution network. The widespread installation of smart meters and the development of intelligent remote meter reading technology have brought a large amount of power grid operation data, providing a new path for topology identification of low-voltage power supply networks. In this paper, a topology identification method of low-voltage power supply network based on measurement data is proposed. Firstly, the feature extraction by wavelet transform is performed on the power sequence of the branch node, and the connection of branch nodes is obtained according to the power value and the similarity of the feature power sequence. Then the position of user nodes is obtained by using the idea of 0-1 integer quadratic programming. Finally, the effectiveness of the proposed method for complex topological structures is verified by an example of 12 branches and 114 users.

关键词： topology identification wavelet transform feature extraction quadratic programming

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