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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Tang, Qiong Wu, Jiawei Xiao, Jinyu Zhou, Feng Wu, Xiaoqing Beijing China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China

ISBN: (纸本)9781728171494

With the increasing development of renewable energy resources in South America, to analyze "the location", "the quantity"and "the quality"of wind and solar energy resources will, not only benefit for one country on efficient resource utilization, but also promote the realization of large- scale international resource utilization and complementation. Argentina, as a major country in South America, researches on its renewable energy development is of great significance. This paper completed the renewable resources assessment through modeling and estimating the theoretical reserves, technical potential installed capacity and development cost of wind and solar energy in Argentina. Then, a more precise quantitative evaluation of development potential is given through the calculated development cost and capacity factor of technical potential installed capacity. Finally, after compared the existing power stations with the assessment results, suggestions on how to development renewable energy resources in Argentina are given. © 2021 IEEE.

关键词： Solar energy

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A Reclosing Scheme of Hybrid DC Circuit Breaker for MMC-HVdc systems

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IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN power ELECTRONICS 2021年第6期9卷 7126-7137页

作者： Zhang, Shuo Zou, Guibin Xu, Chunhua Sun, Weijie Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China State Grid Weihai Elect Power Co Weihai 264200 Peoples R China

With the increasing demand for large capacity power transmission over long distance, the use of overhead lines is required, which greatly increases the probability of temporary faults. After the faulty line is isolated by hybrid dc circuit breakers (HCBs), the power supply can be restored immediately by reclosing them in the event of temporary fault. However, fragile semiconductor switches will undergo two consecutive faults after the reclose of HCBs when permanent fault occurs. Therefore, a reclosing scheme is proposed in this article to avoid the nonselective reclose of HCBs, whose core principle is an identification method of the instantaneous and the permanent faults. By controlling semiconductor switches in HCB, traveling wave signal is injected into the dc line. Then, whether the fault exists on the line can be determined by the difference in propagation characteristics of the injected signal. The effectiveness of the proposed reclosing scheme is verified by both point-to-point and four-terminal high-voltage dc (HVdc) test systems based on modular multilevel converter built in PSCAD/EMTDC platform. Extensive simulations show that it is robust to fault resistance, etc., and has no identification dead zone. Besides, it has little impact on the healthy part of the system even the permanent fault occurs.

关键词： Circuit faults Fault diagnosis HVDC transmission Fault currents Arresters Circuit breakers power system reliability Hybrid dc circuit breaker (HCB) identification method of the instantaneous and the permanent faults (IMoIPF) modular multilevel converter (MMC) overhead line (OHL) reclosing scheme

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Source-Load-Storage Coordinated Optimal Scheduling Model Considering Admissible Region of Net Load

Source-Load-Storage Coordinated Optimal Scheduling Model Con...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Fengbin Sun Mingqiang Wang Caishuai Liang Xia Zhang Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China Luyuan Electric Group Co. LTD Jinan China

ISBN: (数字)9798350373479

ISBN: (纸本)9798350373486

With the increasing penetration of renewable energy, the urgent issue of maximizing the integration of renewable energy while meeting economy security and reliability requirements needs to be addressed. Based on the theory of admissible region, integrating models of renewable energy, energy storage systems, and demand response, this paper proposes a source-load-storage coordinated optimal scheduling model considering admissible region of net load. The model uses the generation-load transfer factors based on decoupled linearized power flow to construct power flow constraints, enabling coordinated optimization of active power, reactive power, and voltage in the power system. Uncertainty constraints in the model are transformed into deterministic constraints based on affine strategy, and the entire model is transformed into a bilinear programming model using duality theory and power circle linearization, facilitating solution using mature commercial solvers. Finally, the effectiveness and superiority of the model are verified on the IEEE-RTS system.

关键词： Renewable energy sources Analytical models Reactive power Uncertainty Biological system modeling Computational modeling Optimal scheduling

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Frequency Constrained Proactive Scheduling for Secure Microgrid Formation in Wind power Penetrated Distribution systems

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IEEE TRANSACTIONS ON SMART GRID 2025年第2期16卷 989-1002页

作者： Cai, Sheng Xie, Yunyun Zhang, Yuping Bao, Weiyu Wu, Qiuwei Chen, Chen Guo, Jian Nanjing Univ Sci & Technol Sch Automat Nanjing 210094 Peoples R China Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Queens Univ Belfast Sch Elect Elect Engn & Comp Sci Belfast BT8 5BN North Ireland Xi An Jiao Tong Univ Sch Elect Engn Xian 710049 Peoples R China

Microgrid formation (MF) is a core solution for increasing the resilience of distribution systems in extreme situations. However, a significant power imbalance at the MF onset will result in the violation of dynamic frequency constraints, especially in low-inertia wind power penetrated distribution systems (WPP-DSs). To ensure the secure MF after emergencies, this paper proposes a frequency constrained proactive scheduling method for WPP-DSs. The primary frequency response (PFR) model is proposed to describe the microgrid frequency dynamics after islanding, where wind turbines are deloaded to provide a primary reserve. Then the PFR model is incorporated into the scheduling model to ensure frequency security during MF process. The proposed method proactively dispatches controllable units to mitigate the power imbalance and to reserve power for frequency regulation. After emergencies, the primary reserve is released, and adaptive microgrids are securely formed to sustain critical services. The PFR model is formulated as algebraic differential equations (ADEs), which makes it difficult to solve the model directly. Thus, the PFR model is discretized into difference equations and further linearized to facilitate solution. Simulation results validate the merits of the proposed method in reducing the conservatism of proactive scheduling strategies and improving the microgrid security during MF process.

关键词： Wind power penetrated distribution system proactive scheduling microgrid formation power imbalance dynamic frequency security Wind power penetrated distribution system proactive scheduling microgrid formation power imbalance dynamic frequency security

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Distributed power Restoration Method Based on Joint control of DGs

Distributed Power Restoration Method Based on Joint Control ...

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International Conference on power system Technology (powerCON)

作者： Ruimei Wang Wei Cong Yi Tang Anning Wang Yongjie Zhang Qianshuo Gu Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China State Grid Shandong Electric Power Company Jinan China

As the scale of power system continues to expand, the proportion of distributed generators (DGs) in the smart distribution network has been increasing year by year. To address the problem of power restoration after DGs access, distributed power restoration method based on joint control of photovoltaic unit and pv/battery unit is proposed. Analyzing the control modes of photovoltaic unit and pv/battery unit during distributed power restoration, available capacity and adjustment range are determined based on control principles and operation constraints. Based on this method, the network is gradually converted into Thevenin equivalent circuit, and power restoration calculations are performed while considering the operating characteristics of photovoltaic unit and pv/battery unit. At the same time, power output adjustment is carried out based on voltage and frequency constraints to avoid overvoltage or frequency problems during the power restoration process. Using IEEE 33-node system as an example, then the feasibility of this method is verified.

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Decentralized Distributionally Robust Coordinated dispatch of Multiarea power systems Considering Voltage Security

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2021年第4期57卷 3441-3450页

作者： Li, Peng Yang, Ming Yu, Yixiao Hao, Guangtao Li, Menglin Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Putian Univ Key Lab New Energy Equipment Detect Fujian Univ Putian 351100 Peoples R China

To achieve an efficient coordination of multiarea power systems, this article proposes a new coordinated dispatch optimization model for multiarea power systems. In the proposed optimization model, active and reactive powers are jointly optimized in a decentralized manner. Both of conventional generators and wind farms adopt the automatic voltage control strategy to mitigate the risk of undervoltage or overvoltage, and, thus, the nodal voltage security can be ensured in the optimization. At the same time, optimal admissible regions of wind power can be also obtained from decisions, which are optimized by making a tradeoff between the operational cost and renewable utilization in the optimization. Moreover, considering that it is hard to exactly estimate the true probability distribution of wind power due to modeling errors and insufficient historical data, the distributionally robust optimization is also employed in the proposed optimization model to take the uncertainty of wind power probability distributions into account. Besides, to improve the computational efficiency, an efficient algorithm is also developed. Numerical results on two test power systems demonstrate that compared with the traditional optimization models, the proposed decentralized dispatch model can achieve more reliable decisions and promote the renewable utilization.

关键词： Alternating direction method of multipliers (ADMMs) decentralized dispatch distributionally robust optimization (RO) multiarea power system voltage security

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Carbon Cost Pass-through Analysis Considering Renewable Energy Consumption

Carbon Cost Pass-through Analysis Considering Renewable Ener...

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Smart power & Internet Energy systems (SPIES), International Conference on

作者： Xinyan Su Li Zhang Hao Wang Yuxi Wang Shihang Song Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

The establishment of carbon allowances and carbon market has changed the competitiveness of thermal-generating units in the energy market and produced carbon cost passing through to electricity prices. With the increase in the proportion of renewable energy connected to the grid, thermal units have a strong performance in the ancillary service market due to their good regulation characteristics. For this situation, this paper establishes the carbon cost pass-through rate calculation model based on simulating energy market transactions which used the energy-reserve joint optimization model to consider the participation of thermal units in the energy market and reserve market under the condition of a high proportion of renewable energy connected to the grid. A 10-unit system is taken as an example to verify the effectiveness of the improved carbon cost pass-through analysis, and analyze the impact of changes in wind power integration on carbon cost pass-through.

关键词： Renewable energy sources Costs Energy Wind power generation Regulation Thermal analysis Internet

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Research on Modeling Method of New Energy Generation about Randomness

Research on Modeling Method of New Energy Generation about R...

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

作者： Li Chen Ming Yang Zewei Wang Peng Li Chao Wang Xiyang Guan Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China New energy power forecast Changji University Changji China

It's significance to establish a rational model of the randomness of new energy power for the analysis and control of new energy power system. One way to realize the probability prediction of new energy power generation is to model and quantify the probability distribution of prediction error based on the deterministic prediction results. Based on Itô process model, this paper describes the stochastic characteristics of new energy power in the form of stochastic differential equation. Firstly, the model based method is used to construct Itô process parameters under the condition of given statistical model, and the probability distribution of prediction object is obtained by superimposing the probability distribution of prediction error on the deterministic prediction results. Secondly, the method based on historical data is used to estimate the Itô process parameters with the maximum likelihood value given the historical data. Finally, a numerical example proves that Itô process is practical in describing the randomness of new energy sources.

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Distributed Photovoltaic power Forecasting Method Based on AP Clustering and Transfer Learning

Distributed Photovoltaic Power Forecasting Method Based on A...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Baolong Yang Ming Yang Qiangsheng Bu Chuanqi Wang Yuanhe Zhang Menglin Li Fei Luo Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Research Institute State Grid Jiangsu Electric Power CO. LTD. Nanjing China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

Highly accurate photovoltaic (PV) power forecast technology can provide a scientific basis for grid planning to ensure safe, economical, and efficient grid operation. The investment cost for a specialized power prediction system for each PV plant is high. Consequently, a distributed PV (DPV) power forecast method based on affinity propagation (AP) clustering and transfer learning is proposed in this paper. First, the dynamic time warping (DTW) algorithm determines the similarity of power curves between DPV plants; on this basis, multiple DPV power plants in the area to be forecasted are divided into station clusters by using AP clustering; and the PV power plants in each station cluster are divided into source and target domain by transfer learning, combined with long-short term memory (LSTM) network, the power forecasting model is established, and enabling transfer of power models from source to target domain. Finally, data from 20 DPV plants in China are used to demonstrate the effectiveness of the approach. Compared to separate modeling, the proposed method reduces the average training time by 58% while maintaining the forecasting accuracy.

关键词： Photovoltaic systems Training Accuracy Costs Heuristic algorithms Transfer learning Weather forecasting Predictive models Forecasting Long short term memory

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Real-time Grid Impedance Identification for Synchronization Stability control in Grid-following Converter 5

Real-time Grid Impedance Identification for Synchronization ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Cheng, Liang Ye, Hua Wang, Ting Dong, Xin Li, Yanran Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Shandong Electric Power Co. Ltd Jinan China State Grid Jinan Power Supply Company Jinan China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The synchronization instability is one of the serious problems for grid-following converter (GFL). Real-time identification of AC grid impedance enables improves the application of adaptive current injection synchronous stabilization control method in practical power systems. In this paper, a Thevenin equivalent (TE) impedance identification method using Fast Fourier Transform (FFT) analysis is proposed and applied to GFL synchronous stability control. First, according to the analysis of the static and dynamic instability mechanism of phase-locked loop (PLL), the necessity of impedance identification is explained. Then, using FFT analysis, the TE impedance of the AC system is calculated in real-time. Finally, the estimated TE parameters are used to determine the current references of GFL during the fault to ensure that no loss of synchronization (LOS) occurs in the GFL. The simulation results show that the proposed identification method can quickly track the AC grid impedance changes of system after a fault, and can be used in the adaptive current control strategy. © 2022 IEEE.

关键词： Fast Fourier transforms

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