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Data-Driven Online system Equivalent for Self-Adaptive Droop Voltage control of Wind power Plants

IEEE TRANSACTIONS ON ENERGY CONVERSION 2020年第1期35卷 302-305页

作者： Guo, Yifei Gao, Houlei Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China

This letter considers the closed-loop stability issue of droop-based voltage control for wind power plants (WPPs) under varying grid strength. We first propose a data-driven online system equivalent/identification method (DOnSE) for WPPs using the weighted least-squares estimation (WLSE). Then, upon the analysis of link between stability boundary of droop gain and external grid strength, a self-adaptive gain-scheduling droop voltage control scheme for WPPs based on the DOnSE is developed to enhance the closed-loop stability and reactive power utilization of wind turbines (WTs).

关键词： Droop control online system identification voltage control wind power plant (WPP)

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Multi-stage Provincial power Expansion Planning and Multi-market Trading Equilibrium

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Journal of Modern power systems and Clean Energy 2024年第5期12卷 1652-1665页

作者： Guangsheng Pan Zhongfan Gu Yuanyuan Sun Kaiqi Sun Wei Gu the School of Electrical Engineering Southeast UniversityNanjingChina Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education School of Electrical EngineeringShandong UniversityJinanChina

Decarbonization in the power sector is one of the critical factors in achieving carbon neutrality,and the top-level design needs to be carried out from the perspective of power planning.A multi-stage provincial power expansion planning(PPEP)model is proposed to simulate the power expansion planning at different stages of the power systems rich in renewable energy *** model covers 16 types of power supply,considering macro-policy demands and micro-operation *** stand-alone capacity aggregation model for coal-based units within the PPEP model allows for accurate construction and retirement with different stand-alone ***,the soft dynamic time warping(soft-DTW)based K-medoids technique is adopted to generate typical scenarios for balancing the model accuracy and solution ***,a multi-market trading equilibrium(MMTE)mechanism is proposed to address the differences in the levelized cost of energy between the coal-based and renewable-based units by participating in energy and ancillary service *** the coalbased units take on the task of providing ancillary services from renewable-based units in the ancillary service market,the MMTE mechanism can effectively equalize the profits of both by having renewable-based units purchase ancillary services from coal-based units and pay for them,thus improving the motivation of coal-based units.A case study in Xinjiang province,China,verifies the effectiveness of the planning results of the PPEP model and the profit equilibrium realization of the MMTE mechanism.

关键词： power expansion planning market design ancillary service market renewable energy generation energy market

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Optimal coordinated voltage control of AC/DC power systems for voltage stability enhancement

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2019年 108卷 252-262页

作者： Yang, Hao Zhang, Wen Chen, Jian Xie, Jiping Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China

With the increasing use of LCC-HVDC links as bridges for bulk-power delivery, voltage stability control has become a crucial issue in hybrid AC/DC power systems. This paper proposes an optimal coordinated voltage control (CVC) of AC/DC systems to enhance steady-state voltage stability. Notably, the CVC incorporates the controls of HVDC rectifier and inverter converters. First, the voltage stability indicator, L-index, in AC systems is extended to AC/DC systems. Then, based on the voltage stability sensitivities, the CVC is modeled as a linearly constrained quadratic programming (LCQP) problem to coordinate the controllable resources of AC/DC systems, which can result in fast and effective solutions. Further based on the CVC, a control strategy is designed to simultaneously meet the requirements of voltage stability margin enhancement and voltage deviation correction. In addition, the potential of HVDC systems participating in voltage stability control is illustrated. The results of simulations performed for two AC/DC power systems show that the proposed method can effectively coordinate control variables to enhance voltage stability.

关键词： AC/DC systems Steady-state voltage stability LCC-HVDC Coordinated voltage control Sensitivity

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Energy storage sizing by copula modelling joint distribution for wind farm to be black-start source

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IET RENEWABLE power GENERATION 2019年第11期13卷 1882-1890页

作者： Liu, Weipeng Liu, Yutian Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China

To achieve fast power system restoration with high penetration of wind power, using wind farm (WF) as black-start (BS) source is a promising choice. An energy storage system (ESS) sizing method with the minimum investment cost is proposed to enable WF to be a reliable BS source. The proposed method covers three aspects: (i) providing WF self-starting power, (ii) dealing with frequency deviation when starting up ancillary machines and (iii) smoothing WF output power while starting up generator unit. During BS progress, ESS power sizing and capacity sizing are both considered as random variables and their marginal distributions are estimated by kernel density estimation to avoid the distribution model mismatch. The correlation between these two random variables is discussed, which shows that these two variables are not independent. To model the dependence structure between ESS power sizing and capacity sizing, copula theory is applied to build the joint probability distribution. A tail dependence analysis and goodness-of-fit test included copula selection procedure is conducted to choose the most suitable copula function. A case study with real WF data demonstrates that a better-fitted copula has lower ESS sizing cost.

关键词： wind power plants distributed power generation statistical distributions power system restoration probability battery storage plants cost reduction wind farm black-start source fast power system restoration high penetration wind power energy storage system sizing method minimum investment cost reliable BS source self-starting power smoothing WF output power BS progress ESS power sizing capacity sizing random variables marginal distributions distribution model mismatch joint probability distribution WF data lower ESS sizing cost WF self-starting power frequency deviation ancillary machines WF output power smoothing kernel density estimation copula modelling joint distribution

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Short-term wind power combined forecasting based on error forecast correction

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ENERGY CONVERSION AND MANAGEMENT 2016年第Jul.期119卷 215-226页

作者： Liang, Zhengtang Liang, Jun Wang, Chengfu Dong, Xiaoming Miao, Xiaofeng Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China

With the increasing contribution of wind power to electric power grids, accurate forecasting of short-term wind power has become particularly valuable for wind farm operators, utility operators and customers. The aim of this study is to investigate the interdependence structure of errors in short-term wind power forecasting that is crucial for building error forecast models with regression learning algorithms to correct predictions and improve final forecasting accuracy. In this paper, several novel short-term wind power combined forecasting models based on error forecast correction are proposed in the one-step ahead, continuous and discontinuous multi-step ahead forecasting modes. First, the correlation relationships of forecast errors of the autoregressive model, the persistence method and the support vector machine model in various forecasting modes have been investigated to determine whether the error forecast models can be established by regression learning algorithms. Second, according to the results of the correlation analysis, the range of input variables is defined and an efficient strategy for selecting the input variables for the error forecast models is proposed. Finally, several combined forecasting models are proposed, in which the error forecast models are based on support vector machine/extreme learning machine, and correct the short-term wind power forecast values. The data collected from a wind farm in Hebei Province, China, are selected as a case study to demonstrate the effectiveness of the proposed combined models. The simulation results show that: (1) the autocorrelation function of the one-step ahead forecast errors of support vector machine shows more significant tailing than those of the autoregressive and persistence models and the correlation relationships of the multi-step ahead forecast errors of support vector machine do significantly exist, but in the case of the autoregressive and persistence models, they do not;(2) the proposed combi

关键词： Wind power Short-term multi-step forecasting Combined forecasting Error forecast correction Support vector machine Extreme learning machine

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Insecurity Early Warning for Large Scale Hybrid AC/DC Grids Based on Decision Tree and Semi-Supervised Deep Learning

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IEEE TRANSACTIONS ON power systemS 2021年第6期36卷 5020-5031页

作者： Yan, Jiongcheng Li, Changgang Liu, Yutian Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China

Fast insecurity early warning is the key technique to resist the dynamic insecurity risk, which becomes intractable due to the strong nonlinearity of hybrid AC/DC grids and the high uncertainty of wind generation. Considering dynamic security constraints and wind power uncertainty, this paper presents an insecurity early warning method based on decision tree (DT) and semi-supervised deep learning. First, semi-supervised deep learning is deployed to estimate the dynamic security limit of the critical interface of hybrid AC/DC grids. The system security is assessed by comparing the actual power transfer of the critical interface with the security limit. Then, operating conditions (OCs) are ranked into different insecure levels according to the type of preventive control actions that is needed to ensure the system security. Finally, oblique DT is utilized to identify insecurity classification boundaries in the wind power injection space. Insecure OC sets are constructed based on these classification boundaries. Simulation results of the real-life Jiangsu-Shanghai interconnected grid in east China demonstrate that the proposed method can fast construct the insecure OC sets corresponding to different insecure levels.

关键词： Security Training Estimation Feature extraction HVDC transmission power system stability power system dynamics Decision tree deep learning HVDC set-point control hybrid AC DC grid insecurity early warning total transfer capability wind generation

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Coordinated voltage control of active distribution networks with photovoltaic and power to hydrogen

IET ENERGY SYSTEMS INTEGRATION

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IET ENERGY systemS INTEGRATION 2023年第3期5卷 245-260页

作者： Zhang, Yongxiang Chen, Jian Zhao, Haoran Zhang, Wen Jiao, Wenshu Dai, Wuzhen Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Peoples R China

The rapid increase of photovoltaic (PV) penetration in active distribution networks (ADN) is posing great challenges to traditional voltage control schemes. A two-stage voltage control strategy of ADN is proposed by the authors based on the alternating direction method of multipliers (ADMM) with refined power to hydrogen (P2H) model, considering multiple types of PV forms such as residential photovoltaic cluster (RPVC) and small-scale PV power stations. In the day-ahead stage, the optimal power flow is performed to determine the optimal scheduling results of on-load tap changers and capacitor banks etc. In the intra-day stage, the real-time voltage control strategy is implemented at the distribution network layer to regulate the power of each type of PV, energy storage systems and P2H to further reduce the voltage deviation. At the customer layer, the residential photovoltaic (RPV) within the RPVC is precisely controlled based on the ADMM algorithm to achieve the minimum voltage deviation at each RPV access point. The proposed strategy is tested on the modified IEEE 33-bus and IEEE 69-bus distribution systems, and the simulation results verify its effectiveness in mitigating voltage violations.

关键词： active distribution networks alternating direction method of multipliers coordinated voltage control power to hydrogen residential photovoltaic cluster

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Distributionally Robust Transmission Expansion Planning Considering Uncertainty of Contingency Probability

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Journal of Modern power systems and Clean Energy 2022年第4期10卷 894-901页

作者： Weilun Wang Mingqiang Wang Xueshan Han Ming Yang Qiuwei Wu Ran Li Key Laboratory of Power System Intelligent Dispatch and Control Ministry of EducationShandong UniversityJinan 250002China Department of Electrical Engineering Technical University of DenmarkRegion HovedstadenDenmark

The outage of power system equipment is one of the most important factors that affect the reliability and economy of power *** is crucial to consider the influence of contingencies elaborately in planning *** this paper,a distributionally robust transmission expansion planning model is proposed in which the uncertainty of contingency probability is *** uncertainty of contingency probability is described by uncertainty interval based on the outage rate of single *** epigraph reformulation and Benders decomposition are applied to solve the proposed ***,the feasibility and effectiveness of the proposed model are illustrated on the IEEE RTS system and the IEEE 118-bus system.

关键词： Benders decomposition distributionally robust equipment outage rate transmission expansion planning

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Exact Soft-Covering Exponent

Exact Soft-Covering Exponent

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IEEE International Symposium on Information Theory (ISIT)

作者： Yagli, Semih Cuff, Paul Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Ministry of Education Jinan China

ISBN: (纸本)9781538647813

This work establishes the exact exponent for the soft-covering phenomenon of a memoryless channel under the total variation metric. The exponent, established herein, is a strict improvement (in both directions) on bounds found in the literature. This complements the recent literature establishing the exact exponent under the relative entropy metric;however, the proof techniques have significant differences, neither bound trivially implies the other. This result implies new and improved bounds for various problems that use soft-covering as their achievability argument, including new lower bounds for the resolvability exponent and the secrecy exponent in the wiretap channel.

关键词： Soft-covering lemma channel resolvability random coding exponent total variation distance

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Voltage Characteristic Analysis of Ultra-high Voltage Half-wavelength Transmission system Based on Wave Process Method

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Journal of Modern power systems and Clean Energy 2020年第1期8卷 150-158页

作者： Hao Tian Yutian Liu Dong Yang Xiaohui Qin Yantao Zhang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinanChina State Grid Shandong Electric Power Research Institute JinanChina China Electric Power Research Institute BeijingChina

The voltage characteristics of a half-wavelength transmission(HWLT)system lack mechanism explanation and systematic *** this paper,both the steady-state and fault voltage characteristics are analyzed and explained based on the wave process *** analysis model is established for HWLT lines and wave propagation equations with different terminal conditions are *** steady-state conditions,voltage profiles along HWLT lines are depicted and partial overvoltage occurs when there is an overload or low-power *** addition,fault voltage characteristics are analyzed under load-rejection or short-circuit *** series resonance overvoltage will happen when short-circuit faults occur at certain positions and its peak value is influenced by grid strength or fault ***,a refined transmission line model is presented to consider non-ideal factors and simulation results demonstrate that geomorphic conditions and electromagnetic environments influence line voltage characteristics to a certain extent.

关键词： Half-wavelength transmission wave process method steady-state voltage fault voltage non-ideal factor

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