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Efficient Estimation and Characteristic Analysis of Short-Circuit Currents for MMC-MTDC Grids

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2021年第1期68卷 258-269页

作者： Ye, Hua Gao, Shilin Li, Guanqun Liu, Yutian Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China

Short-circuit current calculation and its characteristic analysis are the foundation of selecting circuit breakers and designing protection systems. First, a companion circuit-based method is presented to fast calculate the short-circuit current of asymmetric bipolar modular multilevel converter-based multiterminal direct current (MMC-MTDC) grids. With the reduction of the whole MTDC grid into an equivalent RLC circuit, the short-circuit current of the grid is efficiently and accurately solved by companion circuit method instead of the numerical integration. In addition to the efficiency, the proposed method can readily adapt to various types of MTDC grids and all kinds of dc faults. Second, unique short-circuit current characteristics of a bipolar MTDC grid following different types of dc faults are theoretically analyzed. A fault type discrimination method is then proposed for bipolar MMC-MTDC grids with dedicated metallic return. Finally, intensive numerical results of two MTDC grids validate the accuracy, adaptability, and efficiency of the presented dc grid short-circuit current calculation method as well as the correctness of the short-circuit current characteristic analyses.

关键词： Companion circuit method modular multi-level converter (MMC) multiterminal direct current (MTDC) grid short-circuit current voltage source converter (VSC)

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Distributed coordinated control for voltage regulation in active distribution networks based on robust model predictive control

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2025年 166卷

作者： Song, Guocheng Wu, Qiuwei Jiao, Wenshu Lu, Lina Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Tsinghua Univ Tsinghua Berkeley Shenzhen Inst Tsinghua Shenzhen Int Grad Sch Shenzhen 518055 Peoples R China Hangzhou Dianzi Univ Informat Engn Coll Hangzhou 311305 Zhejiang Peoples R China

As the integration of renewable energy sources increases, the uncertainty of wind power and photovoltaics bring new challenges to the voltage control problem of active distribution networks (ADNs). To address these challenges, this paper proposes a double-time-scale distributed voltage control strategy for ADNs based on robust model predictive control (RMPC), which considers the coordination between multiple voltage regulation devices. In the slow-time-scale control (STC), on-load Tap changers (OLTC), step voltage regulators (SVR), and capacitor banks (CBs) are optimized to minimize long-term voltage deviations and reduce tap operations of these traditional regulation devices. On this basis, in the fast-time-scale control (FTC), the active and reactive power outputs of distributed generators (DGs) are further optimized based on RMPC to regulate the fast voltage fluctuations while considering the uncertainty of DG outputs. The RMPC model is formulated as a minimum-maximum convex optimization problem, which is transformed into a quadratic programming problem. Moreover, by equivalently processing of adjacent control areas in ADNs, the distribution network model established based on voltage sensitivity method is decomposed to accelerate the solving process. The effectiveness of the proposed double-time-scale distributed RMPC voltage control scheme has been verified in a modified Italia 54-bus system. Results demonstrate that, compared to conventional deterministic centralized control, the proposed scheme achieves 63% reduction for the maximum voltage deviation.

关键词： Distributed generator Active distribution network Robust model predictive control Distributed voltage control

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Feature Selection Method for Nonintrusive Load Monitoring With Balanced Redundancy and Relevancy

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2022年第1期58卷 163-172页

作者： Bao, Sheng Zhang, Li Han, Xueshan Li, Wensheng Sun, Donglei Ren, Yijing Liu, Ningning Yang, Ming Zhang, Boyi Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250100 Peoples R China State Grid Shandong Elect Power Co Econ & Technol Res Inst Jinan 250001 Peoples R China

Nonintrusive load monitoring (NILM) has become a key technology in the power Internet of Things as well as an important information source for load characteristics analysis. Whether the selected features are appropriate determines the effectiveness of the load identification in NILM. In order to reduce the redundancy and improve the relevancy of the selected features, a feature selection method that balances redundancy and relevancy is proposed. Based on the approximate Markov blanket decision, this article puts forward the basis of feature set redundancy elimination. This is used to determine the priority of feature selection by taking the number of features preselection as a measure. The mutual information method is combined with the CRITIC weight to implement redundancy elimination for the initial feature set of the load, and the feature correlation ranking algorithm is established based on the Relief-F method. Based on the idea of balancing redundancy and relevancy, a feature selection strategy is established for the initial feature set, in order to obtain the optimal feature subset with minimum redundancy and maximum relevancy. Finally, the K-nearest neighbor identification algorithm after k-value optimization is used to simulate the proposed method. The results show that compared with the other feature selection methods, the proposed method is promising in terms of robustness and generalization and shows an active effect on improving identification accuracy.

关键词： Feature extraction Redundancy Transient analysis Signal processing algorithms Steady-state Reactive power Mutual information Feature selection mutual information nonintrusive load monitoring (NILM) redundancy relevancy Relief-F

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Configuration Ratio of Grid-following/forming control for High-penetration Renewable Energy Integrated system Containing Electric Vehicle 19

Configuration Ratio of Grid-following/forming Control for Hi...

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20th IEEE Vehicle power and Propulsion Conference (IEEE VPPC)

作者： Zhao, Mengqi Wang, Puyu Gu, Tianming Yang, Dejian Yan, Gangui Shi, Fang Nanjing Univ Sci & Technol Sch Automat Nanjing Peoples R China Northeast Elect Power Univ Key Lab Modern Power Syst Simulat & Control & Ren Jilin Jilin Peoples R China Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (纸本)9798350344455

The charge-discharge between distributed generations and electric vehicles (EVs) will be an important component of the future development of EVs. In this paper, the optimal configuration ratio (CR) of grid-following/forming (GFL/GFM) control for high-penetration renewable energy integrated system containing EV is investigated: (1) The mathematical models for the grid-connected inverter and GFL/GFM control are elaborated, and five simulation cases with different CRs [CR: (100%, 75%, 50%, 25%, 0%)] are simulated in PSCAD/EMTDC. (2) The optimal CR is obtained through the comparative analysis of simulation results of different CRs under load disturbance /single phase-to-ground fault/island operation mode with corresponding evaluation indicators.

关键词： grid-following (GFL) control grid-forming (GFM) control configuration ratio (CR) high-penetration renewable energy integrated system

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An Embedded Estimator for Online Harmonic Monitoring in power-Electronic Grids

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IEEE TRANSACTIONS ON SMART GRID 2022年第6期13卷 4677-4689页

作者： Jin, Zongshuai Zhang, Hengxu Terzija, Vladimir Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Skolkovo Inst Sci & Technol Ctr Energy Sci & Technol Moscow 121205 Russia

A real-time harmonic estimator is proposed to provide a high-accuracy, computationally-efficient, and low-cache-cost solution that can be applied in embedded system for the online monitoring of numerous harmonics in wide frequency band in electronic power systems. Firstly, the fast-tuning filter bank, named FT-TFT FB, is presented, which can be fast generated by straightforwardly tuning the pseudo inverse of the basic single-frequency Taylor-Fourier basis matrix using the frequencyrelated diagonal weight matrix. Secondly, the robust FT-TFT estimator, named RFT-TFT, is proposed by estimating harmonics using the FT-TFT FB with a fast bias compensation process. It is verified using the numerical test that RFT-TFT estimator can achieve the same high accuracy as iterative TFT (I-TFT) estimator under steady and dynamic conditions but be much faster than I-TFT. The online application feasibility is further verified by implementing RFT-TFT estimator in C6748 DSP-based embedded prototype. Finally, this prototype is applied for the field signal analysis of +/- 800 kV Ultra HVDC transmission system and the real-time harmonic monitoring of one 0.3 MW distributed photovoltaic (PV) system, respectively.

关键词： Harmonics wide frequency band electronic power system embedded system real-time monitoring

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Security risk assessment of wind integrated power system using Parzen window density estimation

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ELECTRICAL ENGINEERING 2022年第4期104卷 1997-2008页

作者： Ul Hassan, Rizwan Yan, Jiongcheng Liu, Yutian Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China NFC Inst Engn & Fertilizer Res Elect Engn Dept Faisalabad 38000 Pakistan

power system security assessment is one of the most important aspects of wind integrated power system due to intermittent and stochastic nature of wind. This paper proposes a nonparametric method for security risk assessment. Parzen window density estimation is utilized to obtain probability density functions for wind power, generation and load profiles. Correlation between independent and dependent samples of load, wind power and generation is replicated by a spatial transformation of probability distributions of random variables using Cholesky decomposition. Probabilistic load flow is performed for determining the branch flows and bus voltages of the power system for N - 1 contingency analysis. Risk assessment is performed by quantifying the probability and severity indices for branch flows and bus voltages. The proposed method is tested on modified New England 39-bus system and extended for simplified power grid of Shandong province, China. Simulation results and comparisons demonstrate the effectiveness and accuracy of the proposed method.

关键词： Parzen window Security assessment Wind integrated power systems

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Combination weighting-based method for access point optimization of offshore wind farm

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ENERGY REPORTS 2022年 8卷 900-907页

作者： Liu, Xiaoming Tan, Zukuang Yuan, Zhenhua Liu, Yutian State Grid Shandong Elect Power Co Econ & Technol Res Inst Jinan 250061 Peoples R China Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China

With the fast development of offshore wind power, the fluctuation of its output has an increasingly significant impact on the secure and stable operation of power system. Aiming at the large-scale offshore wind farms (OWFs) integrated, a method for selecting optimal access point is proposed. The capability of wind power accommodation, voltage stability, transmission network vulnerability and construction cost are considered as evaluation indexes. Based on the theory of information entropy and fuzzy analytic hierarchy process, taking the minimum deviation of the comprehensive weight and maximum of the compressive weight value as the optimization goal, the combination weighting model is established to determine the index weight. Simulation result of Shandong power grid of China demonstrate the effectiveness of the proposed method for selecting the access point of the OWF. (c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/). Peer-review under responsibility of the scientific committee of the 2021 8th International Conference on power and Energy systems Engineering, CPESE, 2021.

关键词： Access point Combination weighting method Offshore wind farm power system

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A Phasor Estimation Algorithm Robust to Decaying DC Component

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IEEE TRANSACTIONS ON power DELIVERY 2022年第2期37卷 860-870页

作者： Yu, Haotian Jin, Zongshuai Zhang, Hengxu Terzija, Vladimir Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Skolkovo Inst Sci & Technol Ctr Energy Sci & Technol Moscow 121205 Russia

Phasor measurement is widely used in fault detection and localization of power systems. To improve the phasor measurement accuracy when the fault signal contains the decaying dc component (DDC), this article proposes a half-cycle DFT (HCDFT)-based phasor estimation algorithm. The error caused by DDC is estimated and removed from the phasor estimate by combining multiple HCDFT results that are computed using both the conventional basis vector and its corresponding complex conjugate. Both the numerical tests and the IEEE 39-bus system simulation tests are implemented to evaluate the performance of the proposed algorithm in comparison with four related phasor estimation algorithms. Test results show that the proposed algorithm can achieve accurate phasor estimation in the presence of DDC of a wide range of time constants under the interference of harmonics and noise. Moreover, the proposed algorithm is computationally efficient and its performance is independent of sampling rate. These merits make the proposed algorithm suitable to be applied in measurement and protection devices in real power systems.

关键词： Discrete Fourier transforms Filtering algorithms Harmonic analysis power harmonic filters Estimation error power systems power measurement Decaying dc component full-cycle DFT half-cycle DFT phasor estimation

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Incorporating P2P Trading Into DSO's Decision-Making: A DSO-Prosumers Cooperated Scheduling Framework for Transactive Distribution system

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IEEE TRANSACTIONS ON power systemS 2023年第3期38卷 2362-2375页

作者： Sheng, Hongzhang Wang, Chengfu Dong, Xiaoming Meng, Ke Dong, Zhaoyang Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Univ New South Wales Sch Elect Engn & Telecommun Sydney 2052 Australia Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore

The emerging prosumers have changed the way traditional distribution systems operate. While harvesting the benefits of Distributed Energy Resources (DERs), prosumers' self-dispatching and internal energy trading can also bring technical challenges and economic loss to the distribution system operator (DSO). To this end, a DSO-prosumers cooperated scheduling framework for the transactive distribution system, which considers the impact of prosumers' peer-to-peer (P2P) energy trading, is proposed in this paper. First, by incorporating the P2P energy trading among prosumers into scheduling, prosumers and the DSO can cooperate to optimize the power flow. Meanwhile, the Nash bargaining theory is introduced to achieve the optimal allocation of interests. Then, to improve the computational efficiency, the established bargaining problem is decomposed into two subproblems, i.e., the optimal physical power flow problem, and the virtual power flow bargaining problem. Finally, in order to protect individual privacy, each problem is solved via the alternating direction method of multipliers (ADMM) algorithm in a distributed manner. Case study based on the IEEE 33-bus test system verifies the effectiveness of the proposed method.

关键词： Load flow Costs Peer-to-peer computing Processor scheduling Dynamic scheduling Transactive energy Optimal scheduling Distribution system scheduling Nash Bargaining peer-to-peer energy trading transactive energy

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Reduced-Dimensional controllable Region-Assisted Optimal Rotor Current control Strategy of DFIG-Based WTGs During Asymmetrical Faults

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IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2025年第1期16卷 62-80页

作者： Gao, Xuesong Wang, Zhihao Sun, Xianzhuo Ding, Lei Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Hong Kong Polytech Univ Dept Elect & Elect Engn Hong Kong 999077 Peoples R China Hong Kong Polytech Univ Res Inst Smart Energy Hong Kong 999077 Peoples R China

Doubly-fed induction generator (DFIG)-based wind turbine generators (WTGs) are required to provide grid support during asymmetrical faults and the corresponding asymmetrical current control strategy (AsymCCS) is of great importance. However, the output capability of the rotor-side converter (RSC) under asymmetrical faults lacks a concise expression. This deficiency hinders the optimal allocation of current references in AsymCCSs and may further cause RSC overcurrent and over-modulation. To address these issues, a reduced-dimensional RSC asymmetrical controllable region (AsymCR) is firstly established in this paper, describing the characteristics of the RSC output capability. The AsymCR points out that the negative sequence current output should hold a higher priority to ensure the positive sequence current output capability. Based on an AsymCR-assisted optimal stator equivalent negative sequence reactance, a novel RSC AsymCCS is then proposed. The control strategy can offer sufficient negative sequence support to the grid while enlarging the positive sequence support capability, optimally allocating the positive and negnative sequence output and effectively avoiding overcurrent and over-modulation problems. Simulations are conducted in an electromagnetic transient test system to verify the effectiveness and improved performance of the proposed method.

关键词： Stators Rotors Doubly fed induction generators Fluctuations Voltage control Vectors Modulation Asymmetrical grid fault current control strategy doubly-fed induction generator fault ride-through wind turbine

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