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Resilience-Oriented power Transmission system Restoration Considering Cyber and Physical Equipment Damage Based on Monte Carlo Tree Search and Milp

SSRN

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SSRN 2024年

作者： Sun, Runjia Liu, Yutian Gu, Xueping Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China Department of Electrical Engineering North China Electric Power University Baoding071003 China

Efficient power transmission system restoration after natural disasters contributes to power system resilience enhancement and reliable power energy supply. The destruction of cyber and physical equipment caused by natural disasters leads to complex and unpredictable power outages. To deal with power outages with cyber and physical equipment damage, an online collaborative decision-making method coordinating damage repair and restoration dispatch is proposed for rapid power transmission system restoration. Reinforcement learning and mathematical programming are combined to realize domain knowledge-guided intelligent search for effective decision-making. Firstly, a collaborative decision-making framework is established to guide online coordination between damage repair and restoration dispatch for the unified goal of resilience enhancement. Secondly, to make damage repair plans based on real-time information, an online decision-making method combining Monte Carlo tree search with mixed-integer linear programming is proposed considering the influence of damage repair on restoration dispatch. Thirdly, to make restoration dispatch plans based on real-time information, model predictive control is adopted for online rolling optimization of restoration dispatch, which considers the change of cyber and physical equipment status caused by damage repair. Finally, simulation results of the New England 10-unit 39-bus test system and a practical transmission system in China demonstrate that the collaborative decision-making method can make power transmission system restoration plans by juggling the restoration efficiency and computation speed and deal with uncertain repair emergencies by online step-by-step decision-making. © 2024, The Authors. All rights reserved.

关键词： Restoration

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Coordinated operation of Concentrating Solar power Plant and Wind Farm for Frequency Regulation

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Journal of Modern power systems and Clean Energy 2021年第4期9卷 751-759页

作者： Yuchen Fang Shuqiang Zhao Ershun Du Shaoyan Li Zuyi Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China International Joint Laboratory on Low Carbon Clean Energy Innovation Tsinghua UniversityBeijing 100084China Department of Electrical and Computer Engineering Illinois Institute of TechnologyChicagoIL 60616USA

As a dispatchable renewable energy technology, the fast ramping capability of concentrating solar power (CSP) can be exploited to provide regulation services. However, frequent adjustments in real-time power output of CSP, which stems out of strategies offered by ill-designed market, may affect the durability and the profitability of the CSP plant, especially when it provides fast regulation services in a real-time operation. We propose the coordinated operation of a CSP plant and wind farm by exploiting their complementarity in accuracy and durability for providing frequency regulation. The coordinated operation can respond to regulation signals effectively and achieve a better performance than conventional thermal generators. We further propose an optimal bidding strategy for both energy and frequency regulations for the coordinated operation of CSP plant and wind farm in day-ahead market (DAM). The validity of the coordinated operation model and the proposed bidding strategy is verified by a case study including a base case and sensitivity analyses on several impacting factors in electricity markets.

关键词： Concentrating solar power wind power frequency regulation electricity market bidding strategy

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Chance-Constrained Primary Frequency Reserve Optimization Considering Stochastic Disturbances and Contingencies

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IEEE Transactions on power systems 2024年

作者： Wang, Cheng Li, Yao Liu, Jiahao Ma, Wenlong Yang, Muqing Bi, Tianshu North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China University of Manchester Department of Electrical & Electronic Engineering ManchesterM13BB United Kingdom

Traditional primary frequency reserve (PFR) optimization models have incorporated the frequency stability constraints under worst-case contingencies, while neglecting the impacts of stochastic disturbances, such as fluctuations of renewable power generation (RPG), on post-disturbance frequency dynamics. This paper deals with the PFR optimization problem against stochastic disturbances and contingencies. The S-domain aggregated power system model is established to describe the frequency dynamics under the aggregated disturbance. Then, the two-segment linear approximation counterpart of the proposed S-domain model is derived, whose stochastic differential equation (SDE) form in time-domain is further developed. The analytical expressions of the mean and variance of the state variables in the SDEs are provided. Next, the value-at-frequency-deviation (VaFD) index is proposed to quantify the probalistic frequency nadir, which is the function of its arrival time and the confidence level. A successive approximation procedure is devised to derive the analytical expression of the arrival time of the VaFD. Finally, the chance-constrained PFR optimization model is built, where tractable linear counterpart of the nonlinear VaFD constraint as well as operation constraints considering the impacts of the PFR commitment are included. The effectiveness of the proposed methods are verified by the simulation results of the modified IEEE 39-bus system. © 1969-2012 IEEE.

关键词： Frequency stability

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Optimal control in Both Steady state and Transient Process with Unknown Disturbances

arXiv

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arXiv 2024年

作者： Li, Ming Wang, Zhaojian Liu, Feng Cao, Ming Yang, Bo The Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai Jiao Tong University Shanghai200240 China The State Key Laboratory of Power System The Department of Electrical Engineering Tsinghua University Beijing100084 China The Institute of Engineering and Technology University of Groningen Groningen9747 AG Netherlands

The scheme of online optimization as a feedback controller is widely used to steer the states of a physical system to the optimal solution of a predefined optimization problem. Such methods focus on regulating the physical states to the optimal solution in the steady state, without considering the performance during the transient process. In this paper, we simultaneously consider the performance in both the steady state and the transient process of a linear time-invariant system with unknown disturbances. The performance of the transient process is illustrated by the concept of overtaking optimality. An overtaking optimal controller with known disturbances is derived to achieve the transient overtaking optimality while guaranteeing steady-state performance. Then, we propose a disturbance independent near-optimal controller, which can achieve optimal steady-state performance and approach the overtaking optimal performance in the transient process. The system performance gap between the overtaking optimal controller and the proposed controller proves to be inversely proportional to the control gains. A case study on a power system with four buses is used to validate the effectiveness of the two controllers. © 2024, CC BY.

关键词： Electromagnetic transients

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Study of the Vibration Characteristics of 550 kV GIS Circuit Breaker Based on Rigid-Flexible Coupling Model*

Study of the Vibration Characteristics of 550 kV GIS Circuit...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Yanpeng Ge Bo Liu Shaoshuai Su Yiheng Xu Qiang Sun Weikai Zhang Wensheng Gao Department of Electrical Engineering State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China Shandong Taikai High Voltage Switchgear Co. Ltd Tai’an China

ISBN: (数字)9798350355369

ISBN: (纸本)9798350355376

High voltage circuit breakers (HVCBs) in the gas insulated switch gear (GIS) play an important role in the control and protection of power system. The mechanical faults account for the largest part of common faults in HVCBs. This paper establishes the rigid-flexible model of a 550 kV GIS HVCB, and experimentally studies the behavior characteristics of the HVCB under mechanical fault situation. Firstly, the fine 3D structure model of the 550 kV GIS HVCB is built and the arc-extinguishing principle of the HVCB is analyzed. Then, the rigid model and the rigid-flexible coupling model of the HVCB’s components and the whole system are established. The vibration signals of the two models are simulated and compared based on the finite element method. The component model mainly consists of the static arc contact and the dynamic arc contact. Furthermore, the mechanical fault is artificially set in the HVCB, and the vibration waveform are obtained. Finally, the simulation data is compared with the experimental results and the fault characteristics are analyzed. This research realizes the modeling, simulation and measurement of HVCB dynamic characteristics, which is of great significance to the diagnosis and prevention of HVCB mechanical faults.

关键词： Vibrations Couplings Solid modeling Three-dimensional displays Circuit breakers power system dynamics High-voltage techniques

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Forecasted Scenarios of Regional Wind Farms Based on Regular Vine Copulas

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Journal of Modern power systems and Clean Energy 2020年第1期8卷 77-85页

作者： Zhao Wang Weisheng Wang Chun Liu Bo Wang State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems China Electric Power Research InstituteBeijingChina Department of Electrical Engineering Tsinghua UniversityBeijingChina

Owing to the uncertainty and volatility of wind energy,forecasted wind power scenarios with proper spatio-temporal correlations are needed in various decision-making problems involving power *** this study,forecasted scenarios are generated from an estimated multi-variate distribution of multiple regional wind *** to the theory of copulas,marginal distributions and the dependence structure of multi-variate distribution are modeled through the proposed distance-weighted kernel density estimation method and the regular vine(R-vine)copula,*** to the flexibility of decomposing correlations of high dimensions into different types of pair-copulas,the R-vine copula provides more accurate results in describing the complicated dependence of wind *** the case of 26 wind farms located in East China,highquality forecasted scenarios as well as the corresponding probabilistic forecasting and point forecasting results are obtained using the proposed method,and the results are evaluated using a comprehensive verification framework.

关键词： Forecasted scenarios wind power distanceweighted kernel density estimation(KDE) regular vine(R-vine)copula spatio-temporal correlation

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Network-Constrained Unit Commitment with Flexible Temporal Resolution

arXiv

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arXiv 2024年

作者： Yu, Zekuan Zhong, Haiwang Ruan, Guangchun Yan, Xinfei The State Key Laboratory of Power System Operation and Control Dept. of Electrical Engineering Tsinghua University Beijing China The Sichuan Energy Internet Research Institute Tsinghua University China The Lab for Information & Decision Systems Massachusetts Institute of Technology Massachusetts United States

Modern network-constrained unit commitment (NCUC) bears a heavy computational burden due to the ever-growing model scale. This situation becomes more challenging when detailed operational characteristics, complicated constraints, and multiple objectives are considered. We propose a novel simplification method to determine the flexible temporal resolution for acceleration and near-optimal solutions. The flexible temporal resolution is determined by analyzing the impact on generators in each adaptive time period with awareness of congestion effects. Additionally, multiple improvements are employed on the existing NCUC model compatible with flexible temporal resolution to reduce the number of integer variables while preserving the original features. A case study using the IEEE 118-bus and the Polish 2736-bus systems verifies that the proposed method achieves substantial acceleration with low cost variation and high accuracy. Copyright © 2024, The Authors. All rights reserved.

关键词： Energy management

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Photovoltaic Utilization Benefit Evaluation of Flexible DC Traction power systems

Photovoltaic Utilization Benefit Evaluation of Flexible DC T...

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

作者： Zhanhe Li Kaibin Miao Weihan Bao Chao Lu Xiaoqian Li Lingyun Zhang Dept. of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China Sichuan Energy Internet Research Institute Tsinghua University Chengdu China China Academy of Railway Science Co. Ltd Beijing China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With rising demands for environmental protection and energy efficiency, integrating photovoltaic (PV) resources into flexible DC traction power systems (TPSs) has become increasingly important. However, PV integration faces two main challenges: the volatility of PV output and traction load uncertainties, as well as the effect of power flow optimization under coordinated control. Current methods, including dynamic simulation, power balance analysis, and power flow analysis, struggle to comprehensively evaluate these factors. To address this, this study proposes a PV Utilization Benefit (PVUB) evaluation model, which quantifies the operational benefits of PV integration by accounting for both PV and traction load uncertainties and power flow optimization effects. Applied to a real-world case on a Beijing Metro Line, the PVUB model effectively analyzes investment benefits and the impact of key factors, providing essential technical support for PV planning and power flow analysis of PV-integrated flexible DC TPSs.

关键词： Resistance Photovoltaic systems Uncertainty Evaluation models Traction power supplies Planning Indexes Optimization Load flow analysis Investment

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What is the cost and potential of low carbon electricity transition in the MENA region?

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Energy Strategy Reviews 2025年 59卷

作者： Bamisile, Olusola Xing, Yankai Acen, Caroline Cai, Dongsheng Zhang, Guangdou Adun, Humphrey Staffell, Iain Electrical Engineering Department College of Nuclear Science and Automation Engineering Chengdu University of Technology Sichuan China Centre for Environmental Policy Faculty of Natural Science Imperial College London United Kingdom Energy and Environmental Science Division CEPMLP University of Dundee United Kingdom Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University China Operational Research Centre in Healthcare Near East University TRNC Mersin 10 Nicosia99138 Turkey

Replacing fossil fuels with renewable energy sources, including wind and solar power, is a validated approach for mitigating carbon emissions. To maximize renewable energy potential and account for costs and impacts of low carbon energy transitions, research models or modelling tools must provide an accurate representation of the technological and economic capabilities of renewable energy technologies. Hence, this study assesses the electricity generation potential, and costs associated with onshore and offshore wind power, and solar photovoltaic (PV) system, in the Middle East and North Africa (MENA) region based on wind and solar atlas datasets. Unlike existing works in literature, the assessment of offshore wind energy potential and the calculation of the levelized cost of electricity (LCOE) in this study incorporates factors like water depth, distance from shore, and wind speed. Also, the potential of onshore wind energy and solar photovoltaic systems is evaluated by considering variables such as population density, availability of suitable land area, and geographical location, for every grid cell in the MENA region. We found that the average LCOE can be as low as US$40/MWh for solar PV and US$45/MWh for wind power, achieved in Saudi Arabia and Kuwait respectively. This work contributes to existing literature by providing reliable LCOE, capacity factor, and productivity data for solar and wind energy potential estimation in the MENA region. © 2025 The Authors

关键词： Solar fuels

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On the Available Transfer Region of power Grids via Projection-based Algorithm

On the Available Transfer Region of Power Grids via Projecti...

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2022 IEEE power and Energy Society General Meeting, PESGM 2022

作者： Song, Yiyang Liu, Shuo Wang, Jianxiao Zhang, Tiance Xia, Qing Zeng, Dan Li, Gengyin North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China Tsinghua University Department of Electrical Engineering Beijing100084 China China Electric Power Research Institute State Grid Corporation of China Nanjing210003 China

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408233

With an increasing scale of interconnected grids, the power resources in a larger area can be optimally allocated. An accurate characterization for the available transfer capability (ATC) can further improve the utilization of interchange transmission assets. In this paper, we present a projection-based feasible region method for power grids by extending the concept of ATC to available transfer region (ATR). An intra-regional optimal scheduling model is formulated with inter-regional con-straints embedded. A max-min method is proposed to judge the existence of operating points that are out of feasible region. Then such diagnosis model is equivalently transformed into a mixed integer linear programing via strong duality theory, which can be readily optimized by off-the-shelf solvers. The accurate calcu-lation of the ATC is of guidance to the inter-regional economic dispatch and is a quantitative decision-making basis for power system operation. Case studies based on a modified IEEE 57-bus and 30-bus interconnected system demonstrate the effectiveness and efficiency of the proposed method. © 2022 IEEE.

关键词： Electric power system interconnection

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