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16th IET International Conference on AC and DC power Transmission, ACDC 2020

作者： Sha, Ou Zhang, Wen Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan250061 China

ISBN: (纸本)9781839533914

With the increasing use of VSC-HVDC links, voltage stability control has become a vital issue in AC/DC power systems. This paper proposes an optimal coordinated control (OCC) method in AC/DC systems incorporating VSC-HVDC to exploit the ability of VSC-HVDC to enhance steady-state voltage stability. First, this paper extends L-index to AC/DC systems incorporating VSC-HVDC. Then based on this, two kinds of optimal coordinated control are proposed respectively for voltage deviation correction and voltage stability enhancement. The optimal coordinated control is modelled as a linearly constrained quadratic programming problem based on sensitivity, which can get a solution quickly. The model considers characteristics of different controllable variables so it can coordinate the controllable resources of a power system. Furthermore, based on the proposed optimal coordinated control, a control strategy is designed which can jointly ensure voltage stability margin and maintain voltage magnitude in a reasonable range. In this way, the ability of VSC-HVDC systems participating in voltage stability control is fully exploited. The result of the simulation on modified New England 39-bus power system shows that the proposed method can comprehensively coordinate control variables and effectively enhance voltage stability. © 2020 Institution of Engineering and Technology. All rights reserved.

关键词： HVDC power transmission

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Online Optimal Feedback Voltage control of Wind Farms: Decentralized and Asynchronous Implementations

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IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2021年第2期12卷 1489-1492页

作者： Guo, Yifei Gao, Houlei Wang, Dong Wu, Qiuwei Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Qingdao Univ Sci & Technol Sch Automat & Elect Engn Qingdao 266061 Peoples R China Tech Univ Denmark Ctr Elect Power & Energy Dept Elect Engn DK-2800 Lyngby Denmark

In this letter, we propose an optimal voltage feedback control algorithm for wind farms where the voltage set-point of wind-farm-side voltage source converter (WFVSC) and reactive powers of wind turbines (WTs) are coordinated. The proposed control establishes on the gradient descent and operates in an online fashion. Each WT updates its reactive power based on the local instantaneous terminal voltage and therefore, the proposed control can be implemented in a decentralized manner. Besides, we also address its asynchronous counterpart to enhance the practical applicability in real world.

关键词： Voltage control Wind farms Reactive power Optimization Artificial neural networks Wind turbines Radio frequency Decentralized control gradient projection online optimization voltage control voltage source converter-based high-voltage direct-current (VSC-HVDC) wind farm

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A hybrid model with combined feature selection based on optimized VMD and improved multi-objective coati optimization algorithm for short-term wind power prediction

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ENERGY 2024年 293卷

作者： Wang, Chao Lin, Hong Hu, Heng Yang, Ming Ma, Li Xinjiang Univ Sch Elect Engn Urumqi 830047 Xinjiang Peoples R China Changji Univ Sch Energy & Control Engn Changji 831100 Peoples R China Xinjiang Inst Engn Sch Energy Engn Urumqi 830023 Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China

With the continuous global increase in installed wind power capacity and subsequent surge in power generation, the contradiction between the safe operation of the grid and the efficient consumption of new energy after largescale grid connection has become increasingly prominent. This paper presents a hybrid model prediction method to further improve the stability and accuracy of wind power prediction. Firstly, variational modal decomposition (VMD) optimized by the coati optimization algorithm (COA) is employed to decompose original wind power, mitigating the non-stationary characteristics of the power sequence. Subsequently, permutation entropy (PE) is used to recombine the decomposed components, and the combined feature selection method is achieved by integrating the Spearman correlation coefficient (SCC) and the autocorrelation function (ACF). Then, the multivariate combined model is constructed, and the improved multi-objective coati optimization algorithm (IMOCOA) determines the weight coefficients of each model to enhance the performance of the hybrid model. Finally, research and analysis are conducted from multiple scenarios and time scales using historical operating data from a wind farm in Xinjiang. The experimental results show that the proposed prediction model effectively improves the accuracy and stability of the wind power prediction compared with other popular prediction models.

关键词： Variational mode decomposition Improved multi-objective coati optimization algorithm Combined feature selection Hybrid model

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An improved single-ended frequency-domain-based fault detection scheme for MMC-HVDC transmission lines

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2021年 125卷 106463-106463页

作者： Zhang, Yunqi Cong, Wei Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China

Aiming at the problems currently existing in transmission line protection for modular multilevel converter (MMC) based high voltage direct current (HVDC) grids, this paper proposes an improved single-ended fault detection scheme for MMC-HVDC transmission lines. The proposed scheme is based on the frequency-domain attenuation rate of the initial voltage traveling wave (IVTW). Firstly, the values of the IVTWs generated by the internal and external faults are calculated respectively based on the equivalent model of the four-terminal MMCHVDC grid. Due to the boundary effect of DC inductors installed on both ends of DC lines, the attenuation rates of IVTWs with the increase of the frequency under internal and external faults have different characteristics. The detail coefficients of the IVTW in different frequency bands are extracted by stationary wavelet transform at different scales, and the amplitudes of the IVTW in different frequency bands are quantified by wavelet transform modulus maximums (WTMMs) at corresponding scales. A criterion for identifying internal and external faults is constructed based on the square of the frequency-domain equivalent attenuation rate of the IVTW. Lastly, simulation results under diverse fault conditions verify the effectiveness of the proposed fault detection scheme.

关键词： Single-ended fault detection Modular multilevel converter (MMC) High voltage direct current (HVDC) grid Initial voltage traveling wave (IVTW) Frequency domain Attenuation rate

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A Least Square Reduced-Order Analysis and Risk Assessment of Frequency Regulation in Renewable Generation system

A Least Square Reduced-Order Analysis and Risk Assessment of...

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

作者： Liu, Xin Xu, Haichao Guo, Xiangyang Liu, Yanzhang Zhang, Lei Wang, Wenzhuo Lu, Zhi State Grid Corp China Northwest Branch State Grid Corp China Xian Peoples R China State Grid Corp China China Elect Power Res Inst Co Ltd Nanjing Branch Nanjing Peoples R China Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Peoples R China

ISBN: (数字)9781665450669

ISBN: (纸本)9781665450669

In view of the lack of universality and accuracy in the quantitative analysis of renewable power system frequency based on the traditional system aggregation equivalence method, this paper proposes a quantitative analysis method of system frequency based on parameter optimization which considers the common effect of traditional generator units and renewable energy units in the process of frequency regulation. On this basis, the frequency quantitative analysis and risk assessment of the disturbed system are carried out. An example is constructed in PSCAD/EMTDC to verify the rationality and correctness of the proposed equivalent model and risk assessment method.

关键词： renewable power system quantitative analysis method parameter optimization equivalent model risk assessment

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Resilience index system and comprehensive assessment method for distribution network considering multi-energy coordination

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2021年 133卷 107211-107211页

作者： Zhao, Qi Du, Yaxin Zhang, Tingting Zhang, Wen Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China

In the integrated energy system (IES), multi-energy coordination can provide power supply for distribution networks under extreme disturbances, yielding a positive impact on the resilience. This paper proposes a resilience assessment index system and its corresponding comprehensive assessment method for distribution networks considering multi-energy coordination. Firstly, a set of multi-dimensional resilience assessment indexes is selected based on the analysis of the resilience influence factors, in which multi-energy indexes are introduced to quantify the influence of multi-energy coordination. Secondly, a resilience assessment index system is established as the network hierarchical structure based on the analytic network process (ANP). The assessment index system can reflect the correlations among indexes, making it applicable for the resilience assessment. Then, an optimal weighting model is built to combine the subjective and objective factors, yielding more scientific comprehensive weights of indexes. Finally, the assessment results of distribution network resilience are obtained based on the fuzzy comprehensive assessment method, making the most of each index information. Case study shows the effectiveness of the proposed assessment index system and method in resilience assessment for distribution networks considering multi-energy coordination.

关键词： Analytic network process Distribution network Multi-energy coordination Resilience Resilience assessment

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Review on Probabilistic Short-Term power Forecast

Review on Probabilistic Short-Term Power Forecast

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

作者： Zhu, Wenli Yu, Yixiao Yang, Ming Zhao, Yuanchun State Grid Mat Co Ltd Beijing Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China State Grid Jinan Power Supply Co Jinan Peoples R China

ISBN: (纸本)9781665434980

Wind power, photovoltaic (PV) generation and loads are influenced by lots of factors, which causes different levels of errors existed in their forecast results. Compared with traditional point forecast methods, probabilistic forecast methods can quantize uncertainties in the process of forecast, provide more comprehensive and valuable probability distribution information for power system operation and control. To obtain a clearer development venation, this paper makes a unified review of wind power, PV generation and load power probabilistic forecast methods. Firstly, this paper analyzes the causes of forecast uncertainties, then summarizes the merits, demerits and applicable conditions of some probabilistic forecast processes and the common used models. After that this paper collects the popular evaluation indexes and existing evaluation mechanism. At the end, the future development directions of wind power, PV generation and load power probabilistic forecast is prospected.

关键词： wind power forecast photovoltaic generation forecast load forecast probabilistic forecast forecasting evaluation

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Online static security assessment for cascading failure using stacked De-noising Auto-encoder

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2022年 137卷 107852-107852页

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

The phenomenon of cascading failures (CF) has a great research potential for wind integrated power systems (WIPS) because of stochastic nature of wind. CF may cause unwanted power system blackout if not handled effectively. To evaluate the impact of N-k contingencies which causes CF, this paper proposes multi-layer stacked de-noising auto-encoder (SDAE) based online static security assessment (SSA) using risk based feature set construction for WIPS. A feature set is constructed taking into account the branch overloading probability and risk along with other features. Online SSA is performed after SDAE training is done successfully. Multi-level feature extraction is performed by multi-layer SDAE after executing the pre-screening process for redundant and irrelevant input features using mutual information theory. The proposed method is executed on modified New England 39 bus power system which is further extended for larger power system of IEEE 118 bus power system. Training time and root mean square error (RMSE) of the proposed method are compared with those of long short term memory (LSTM) and auto-encoder (AE). The effectiveness of the proposed method is also demonstrated by comparing the results with ORNL-PSerc-Alaska (OPA) model.

关键词： Cascading failures N -k contingencies Static security assessment Stacked de-noising auto-encoder (SDAE)

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Fault Tracking Method for Relay Protection Devices

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ENERGIES 2021年第9期14卷 2723页

作者： Chen, Qing Zhou, Xiaotong Sun, Mengxuan Zhang, Xiaotong Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China

A method of fault tracking for relay protection devices is presented in this paper. Fault tracking means that after the failure of relay protection devices, the anomalies and warning information are obtained through data-mining technology, and then, the fault tracking algorithm is used to find the cause of failure. Let us take microcomputer protection as an example: Firstly, the common failure symptoms and the prior probability of failure causes can be collected through empirical field data. Then, the concept of an event set is proposed;thus, the causes set and the symptoms set of failure can be created. According to the causal relationship between the causes set of failure and symptoms set of failure, the reasoning chain and the corresponding Bayesian network model are built. Then, the probability of failure causes can be obtained through backward reasoning to continue the tracking analysis of failure causes for relay protection devices. Since the data used in modeling are all from statistics, this method has strong applicability and represents a simple and reliable method for the timely determination and elimination of failure in a power system.

关键词： reasoning chain Bayesian network fault tracking relay protection device

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Renewable Scenario Generation Based on the Hybrid Genetic Algorithm with Variable Chromosome Length

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ENERGIES 2023年第7期16卷 3180页

作者： Liu, Xiaoming Wang, Liang Cao, Yongji Ma, Ruicong Wang, Yao Li, Changgang Liu, Rui Zou, Shihao State Grid Shandong Elect Power Co Econ & Technol Res Inst Jinan 250061 Peoples R China State Grid Shandong Elect Power Co Jinan 250001 Peoples R China Shandong Univ Acad Intelligent Innovat Jinan 250101 Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Shandong Peoples R China

Determining the operation scenarios of renewable energies is important for power system dispatching. This paper proposes a renewable scenario generation method based on the hybrid genetic algorithm with variable chromosome length (HGAVCL). The discrete wavelet transform (DWT) is used to divide the original data into linear and fluctuant parts according to the length of time scales. The HGAVCL is designed to optimally divide the linear part into different time sections. Additionally, each time section is described by the autoregressive integrated moving average (ARIMA) model. With the consideration of temporal correlation, the Copula joint probability density function is established to model the fluctuant part. Based on the attained ARIMA model and joint probability density function, a number of data are generated by the Monte Carlo method, and the time autocorrelation, average offset rate, and climbing similarity indexes are established to assess the data quality of generated scenarios. A case study is conducted to verify the effectiveness of the proposed approach. The calculated time autocorrelation, average offset rate, and climbing similarity are 0.0515, 0.0396, and 0.9035, respectively, which shows the superior performance of the proposed approach.

关键词： ARIMA model copula function genetic algorithm renewable energy scenario generation

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