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Coded Switching Scheme for Monitoring the Operation of Distribution Capacitors

IEEE TRANSACTIONS ON power DELIVERY 2018年第6期33卷 3075-3084页

作者： Liang, Jiabi Zhu, Ke Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Shandong Peoples R China Shandong Univ Sch Elect Engn Jinan 250061 Shandong Peoples R China

A novel scheme is proposed to monitor the operation of capacitors scattered in MV distribution systems. It first codes each capacitor with a distinctive switching character by setting a unique combination of a three-phase switching order and time interval. As a result, the transient of the three-phase reactive power during capacitor switching will appear in a unique way. Then, the reactive power disturbances monitored in the substation are decoded to identify which capacitor is being switched ON and OFF. A detailed decoding method is developed to realize this identification without being impacted by the switching interference of loads and other reactive power compensation devices. Moreover, the implementation of the proposed scheme in the field is elaborated, and the resultant three-phase voltage unbalance is analyzed in this paper. Compared with existing methods, this scheme only requires one power quality monitor located at the substation to monitor the operations (energizing or de-energizing) of downstream distribution capacitors without extra communication devices. The operation information is valuable for tackling power quality problems caused by capacitor switching and optimizing the distribution grid operation.

关键词： monitoring capacitor switching code decode reactive power capacitor location

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A Linear Solution Method of Generalized Robust Chance Constrained Real-Time dispatch

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IEEE TRANSACTIONS ON power systemS 2018年第6期33卷 7313-7316页

作者： Zhou, Anping Yang, Ming Wang, Zhaoyu Li, Peng Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China Iowa State Univ Dept Elect & Comp Engn Ames IA 50011 USA

In this letter, a novel solution method of generalized robust chance constrained real-time dispatch (GRCC-RTD) considering wind power uncertainty is proposed. GRCC models are advantageous in dealing with distributional uncertainty, however, they are difficult to solve because of the complex ambiguity set. By constructing traceable counterparts of the robust chance constraints and using the reformulation linearization technique, the model is transformed into a deterministic linear programming problem, which can he solved efficiently by off-the-shelf solvers. Numerical results verify the effectiveness of the approach.

关键词： Chance constrained programming distributionally robust optimization real-time dispatch wind power

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A Network Partition Approach for Distributed Three-phase State Estimation of Active Distribution Networks

A Network Partition Approach for Distributed Three-phase Sta...

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IEEE-power-and-Energy-Society General Meeting (PESGM)

作者： Yuan, Peiran Zhang, Wen Chen, Jian Shandong Univ Sch Elect Engn Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan Shandong Peoples R China

ISBN: (纸本)9781538677032

With the expanding scale and three-phase unbalance problem of active distribution networks (ADNs), traditional centralized state estimation (CSE) cannot meet the requirements of real-time analysis and control of distribution systems. This paper presents a network partition approach based on topology analysis algorithm for distributed three-phase state estimation (SE) of ADNs. Branch-line layer method and postorder-traversal algorithm are used to perform partition approach which considers radial topology structure and PMU configuration of distribution system. After network partition and decoupling, the local SE is performed based on weighted least squares (WLS) method in each decoupled region and data exchange is performed among adjacent regions to improve DSE accuracy. The distributed state estimation (DSE) has a better performance in accuracy and efficiency than CSE, which is tested in IEEE 33-bus and IEEE 123-bus distribution systems.

关键词： data exchange distributed state estimation network partition PMU topological analysis

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PMU-based voltage stability prediction using least square support vector machine with online learning

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ELECTRIC power systemS RESEARCH 2018年第Jul.期160卷 234-242页

作者： Yang, Hao Zhang, Wen Chen, Jian Wang, Liang Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jingshi Rd Jinan 250061 Shandong Peoples R China State Grid Shandong Elect Power Co Jinger Rd Jinan 250002 Shandong Peoples R China

Composite load model comprising an impedance-current-power (ZIP) load and an induction motor (IM) is widely used for dynamic voltage stability analysis. With the load model, this paper proposes a new PMU-based method to predict short-term voltage instability (STVIS). Using synchronous measurements, the method firstly performs online contingency analysis to obtain a set of three-element look-up tables comprising the presumed contingency, the corresponding post-fault stable and unstable equilibrium point (SEP and UEP) for each IM load individually. Next, when a fault really occurs, the time-series of IM slip is computed by an Euler algorithm based on local PMU measurements, and then a new time-series prediction method is proposed for rolling prediction of IM slip trajectory by introducing least square support vector machine (LSSVM) with online learning. Finally, from the view of IM stability mechanism, the STVIS status can be detected in advance by monitoring that the predicted slip trajectory reaches the IM's UEP in the look-up table. The effectiveness of the proposed method is verified on the New England 39-bus system. (C) 2018 Elsevier B.V. All rights reserved.

关键词： Short-term voltage stability Composite load model PMU measurements Trajectory extrapolation Unstable equilibrium point

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Confidence interval based distributionally robust real-time dispatch considering wind power uncertainty

Confidence interval based distributionally robust real-time ...

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8th Renewable power Generation Conference (RPG 2019)

作者： Peng Li Ming Yang Jiajun Yang Pingjing Du Fangqing Yan Yi Zhu Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan 250061 China Economic & Technology Research Institute of State Grid Shandong Electric Power Company Jinan 250021 China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

A confidence interval based distributionally robust real-time dispatch (CI-DRTD) approach considering wind power uncertainty is proposed, which can strike a balance between the operational costs and risk even when the wind power probability distribution cannot be precisely estimated. Based on the imprecise probability theory, the confidence interval based ambiguity set of wind power uncertainty can be constructed. By the identification of the worst distribution, the original distributionally robust optimization problem can be reformulated as a robust economic dispatch problem. By using the algorithm developed in our previous work, the robust economic dispatch model can be reformulated as a mixed integer linear programming problem, for which off-the-shelf solvers are available. Case studies verify the effectiveness and efficiency of the proposed approach.

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A multi-disaster-scenario distributionally robust planning model for enhancing the resilience of distribution systems

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2020年 122卷 106161-106161页

作者： Zhang, Gang Zhang, Feng Zhang, Xin Wu, Qiuwei Meng, Ke Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ 17923 Jingshi Rd Jinan 250061 Peoples R China Cranfield Univ Sch Water Energy & Environm Energy & Power Theme Cranfield MK43 0AL Beds England Tech Univ Denmark DTU Ctr Elect Power & Energy CEE Dept Elect Engn DK-2800 Lyngby Denmark Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia

Resilience oriented network planning provides an effective solution to protect the distribution system from natural disasters by the pre-planned line hardening and backup generator allocation. In this paper, a multidisaster-scenario based distributionally robust planning model (MDS-DRM) is proposed to hedge against two types of natural disaster-related uncertainties: random offensive resources (ORs) of various natural disasters, and random probability distribution of line outages (PDLO) that are incurred by a certain natural disaster. The OR uncertainty is represented by the defined probability-weighted scenarios with stochastic programming, and the PDLO uncertainty is modeled as the moment based ambiguity sets. Moreover, the disaster recovery strategies of network reconfiguration and microgrid formation are integrated into the pre-disaster network planning for resilience enhancement in both planning and operation stages. Then, a novel primal cut based decomposition solution method is proposed to improve the computational efficiency of the proposed model. In particular, the equivalent reformulation of the original MDS-DRM is first derived to eliminate the PDLO-related variables. Then, the reformulation problem is solved by the proposed primal cut based decomposition method and linearization techniques. Finally, Simulation results are demonstrated for IEEE 13-node, 33-node and 135-node distribution systems to validate the effectiveness of the proposed method in enhancing the disaster-induced network resilience.

关键词： Distributionally robust method Resilience Network planning power distribution system Stochastic programming Uncertainty

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A Pilot DC Line Protection Scheme for Multi-Terminal HVDC Grid

A Pilot DC Line Protection Scheme for Multi-Terminal HVDC Gr...

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IEEE power and Energy Society General Meeting

作者： Qiang Huang Guibin Zou Bin Xu Jun Li Shuo Zhang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Ji'nan Shandong Province China State Grid Weihai Electric Power Company Weihai Shandong Province China

Pilot protection is indispensable in multi-terminal HVDC grid to ensure its safe operation. This paper proposes a pilot protection method based on voltage polarities of current-limiting reactors at the ends of DC lines. Analysis shows that the voltage polarities of terminal reactors at the two ends of DC lines are both positive when internal fault occurs, while they are opposite for external faults. Based on the aforementioned characteristic difference, a pilot protection criterion is built to distinguish internal fault from external fault. To avoid mal operation of the healthy pole generated by the coupling effect, the fault voltage of current-limiting reactor is integrated, and its polarity can be identified based on the integration value. At last, a four-terminal modular multilevel converter (MMC)-based HVDC grid simulation model is built in PSCAD/EMTDC, and the simulation results verified the effectiveness of the protection method.

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MPC-Based Coordinated Voltage Regulation for Distribution Networks With Distributed Generation and Energy Storage system

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IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2019年第4期10卷 1731-1739页

作者： Guo, Yifei Wu, Qiuwei Gao, Houlei Chen, Xinyu Ostergaard, Jacob Xin, Huanhai Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China Tech Univ Denmark Dept Elect Engn Ctr Elect & Energy DK-2800 Lyngby Denmark Tech Univ Denmark Dept Elect Engn Ctr Elect Power & Energy DK-2800 Lyngby Denmark Harvard Univ Sch Engn & Appl Sci Harvard China Project Cambridge MA 02138 USA Zhejiang Univ Coll Elect Engn Hangzhou 310027 Zhejiang Peoples R China

This paper presents a model predictive control (MPC)-based coordinated voltage control scheme for distribution networks with high penetration of distributed generation (DG) and energy storage. In this scheme, the DG units, energy storage devices, and on-load tap changer are optimally coordinated to maintain all bus voltages in the network within a permissible range. To better coordinate the economical operation and voltage regulation, two control modes are designed according to the operating conditions. In the preventive mode, the DG units operate in the maximum power point tracking mode. State-of-charge of energy storage system (ESS) units and power outputs of DG and ESS units are optimized whilemaintaining the voltages within the feasible range. In the corrective mode, active power curtailment of DG units is also used as a necessary method to correct the severe voltage deviations. The voltage sensitivity coefficients with respect to the power injections and tap changes are updated in real time using an analytical sensitivity calculation method to improve the computation efficiency. A test system consisting of two 20-kV feeders fed from the same substation based on a real distribution network was used to validate the proposed coordinated voltage control scheme under both normal and large-disturbance conditions.

关键词： Active power curtailment distribution generation (DG) distribution network energy storage model predictive control (MPC) reactive power control voltage control

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A Gate Driver of SiC MOSFET for Suppressing the Negative Voltage Spikes in a Bridge Circuit

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IEEE TRANSACTIONS ON power ELECTRONICS 2018年第3期33卷 2339-2353页

作者： Gao, Feng Zhou, Qi Wang, Panrui Zhang, Chenghui Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China Jiangsu Elect Power Co Res Inst Nanjing 211103 Jiangsu Peoples R China Shandong Univ Sch Control Sci & Engn Jinan 250061 Shandong Peoples R China

SiC MOSFET has low on-state resistance and can work on high switching frequency, high voltage, and some other tough conditions with less temperature drift, which could provide the significant improvement of power density in power converters. However, for the bridge circuit in an actual converter, high dv/dt during fast switching transient of one MOSFET will amplify the negative influence of parasitic components and produce the significant negative voltage spikes on the complementary MOSFET, which will threaten its safe operation. This paper proposes a new gate driver circuit for SiC MOSFET to attenuate the negative voltage spikes in a bridge circuit. The proposed gate driver adopts a simple voltage dividing circuit to generate a negative gate-source voltage as traditional and a passive triggered transistor with a series-connected capacitor to suppress the negative voltage spikes, which could satisfy the stringent requirements of fast switching SiC MOSFETs under the high dc voltage condition with low cost and less complexity. An analysis is presented in this paper based on the simulation and experimental results with the performance comparison evaluated.

关键词： Auxiliary transistor bridge configuration gate driver SiC MOSFET

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High Impedance Fault Detection Method Based on Variational Mode Decomposition and Teager-Kaiser Energy Operators for Distribution Network

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IEEE TRANSACTIONS ON SMART GRID 2019年第6期10卷 6041-6054页

作者： Wang, Xiaowei Gao, Jie Wei, Xiangxiang Song, Guobing Wu, Lei Liu, Jingwei Zeng, Zhihui Kheshti, Mostafa Xi An Jiao Tong Univ Sch Elect Engn Xian 710049 Peoples R China Henan Polytech Univ Sch Elect Engn & Automat Jiaozuo 454000 Henan Peoples R China Zhejiang Elect Power Co State Grid Wenzhou Power Supply Co Wenzhou 325000 Peoples R China Tech Univ Berlin Fac Elect Engn & Comp Sci D-10623 Berlin Germany Zhuhai Xuji Elect Co Dept Res & Dev Zhuhai 519000 Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China

The focus of the paper is the difficulty of high impedance fault (HIF) detection in distribution network, and its ease to be confused with capacitor switching (CS) and load switching (LS). Based on the intermittent reignition and extinction characteristics of HIF current, this paper proposes a novel HIF detection method, which combines variational mode decomposition (VMD) and Teager-Kaiser energy operators (TKEOs). The HIF detection method is as follows: First, perform the VMD on transient zero sequence currents to obtain the intrinsic mode functions (IMFs) and select the IMFs with the largest kurtosis value as the characteristic IMFs. Second, calculate the characteristic IMFs to obtain TKEOs and divide into subintervals of TKEOs waveform to calculate the time entropy values. Finally, construct HIF detection criterion as follows: when time entropy value is 0, it is judged as CS or LS. When the entropy value is not 0, it is judged as HIF. A large number of simulations and field data tests show that the method is accurate and stable, and under the interference of 1 dB strong noise, it can accurately judge. Compared with other methods, the method has higher feature extraction accuracy, less calculation time, and better judgment accuracy.

关键词： High impedance fault variational mode decomposition intrinsic mode function Teager-Kaiser energy operators time entropy

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