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Minimax Regret Robust Co-Planning of Transmission and Energy Storage systems With Mixed Integer Recourse

IEEE Transactions on Sustainable Energy 2025年第3期16卷 2144-2156页

作者： Barkom, Ehsan Saber, Hossein Moeini-Aghtaie, Moein Ehsan, Mehdi Shahidehpour, Mohammad Sharif University of Technology Center of Excellence in Power System Control and Management Department of Electrical Engineering Tehran11365-11155 Iran Sharif University of Technology Department of Energy Engineering Tehran Iran Illinois Institute of Technology Robert W. Galvin Center for Electricity Innovation ChicagoIL60616 United States King Abdulaziz University Jeddah Saudi Arabia

The growing penetration of renewable energy sources, with intermittent and uncertain nature, brings new challenges to the secure and efficient operation of power systems. Expanding transmission networks and utilizing energy storage (ES) have been introduced as effective solutions to address these challenges. This paper presents a minimax regret robust co-planning model with mixed integer recourse for transmission and ES systems, designed from the perspective of a central planner. The model considers a polyhedral uncertainty set for future peak load growth, while uncertainties in wind farm expansion are addressed through internal scenario analysis. This approach will guarantee the robustness of investment decisions and provide the central planner with a clear picture of the maximum regret among all possible scenarios. Furthermore, the proposed minimax regret framework facilitates strategic planning for ES installation after the resolution of long-term uncertainties. In this paper, we reformulate the model into a standard min-max-min problem, in which the maximization level is only over uncertainties. Subsequently, a five-level solution strategy based on a modified nested column and constraint generation decomposition technique is represented to deal with the intractability and complexity of the problem caused by binary variables of transmission lines and ES blocks. The model is finally evaluated through comprehensive simulation studies to verify its tractability, practicality, and effectiveness. © 2010-2012 IEEE.

关键词： Uncertainty Planning Load modeling power transmission lines Costs Investment Renewable energy sources Optimization Stochastic processes Programming

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Vulnerability of EV Charging Stations to Cyber Attacks Manipulating Prices

Vulnerability of EV Charging Stations to Cyber Attacks Manip...

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2023 International Conference on Future Energy Solutions, FES 2023

作者： Akbarian, Amirhossein Bahrami, Mahdi Vakilian, Mehdi Lehtonen, Matti Sharif University of Technology Center of Excellence in Power System Management and Control Electrical Engineering Department Tehran Iran Aalto University Department of Electrical Engineering and Automation Espoo Finland

ISBN: (纸本)9798350332308

Electric vehicles (EVs) have experienced an unprecedented increase in their penetration;in well developed countries;due to the advancement of battery technology and the need to make transportation more environmentally friendly. As a result of this trend, EVs have become an integral part of those countries power grid ecosystem, where they may be used as both a source, and a consumer of energy. However, cybersecurity risks associated with large fleets of EVs within the power grids can significantly impact the normal operation of distribution systems. This paper considers the cyber-attack consequences, from attackers' perspective. The cyber attackers under study target the charging price (CP) by increasing the CP in off-peak hours and accordingly subsiding it in on-peak hours. A two-stage optimization framework is proposed to identify the most important ultra-fast charging stations (XFCs) under the cyber-attack, meanwhile, the EV users' response to the compromised CP is considered. Then, the proposed model is implemented on a modified IEEE 123-bus distribution test system, and the effectiveness of the model is proved through some case studies. In particular, they demonstrated that the amount of load shedding is increased by 8.198 MW when the EV user response is taken into account. © 2023 IEEE.

关键词： Crime

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Vulnerability of EV Charging Stations to Cyber Attacks Manipulating Prices

Vulnerability of EV Charging Stations to Cyber Attacks Manip...

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Future Energy Solutions (FES), International Conference on

作者： Amirhossein Akbarian Mahdi Bahrami Mehdi Vakilian Matti Lehtonen Electrical Engineering Department Center of Excellence in Power System Management and Control Sharif University of Technology Tehran Iran Department of Electrical Engineering and Automation Aalto University Espoo Finland

Electric vehicles (EVs) have experienced an unprecedented increase in their penetration; in well developed countries; due to the advancement of battery technology and the need to make transportation more environmentally friendly. As a result of this trend, EVs have become an integral part of those countries power grid ecosystem, where they may be used as both a source, and a consumer of energy. However, cybersecurity risks associated with large fleets of EVs within the power grids can significantly impact the normal operation of distribution systems. This paper considers the cyber-attack consequences, from attackers’ perspective. The cyber attackers under study target the charging price (CP) by increasing the CP in off-peak hours and accordingly subsiding it in on-peak hours. A two-stage optimization framework is proposed to identify the most important ultra-fast charging stations (XFCs) under the cyber-attack, meanwhile, the EV users’ response to the compromised CP is considered. Then, the proposed model is implemented on a modified IEEE 123-bus distribution test system, and the effectiveness of the model is proved through some case studies. In particular, they demonstrated that the amount of load shedding is increased by 8.198 MW when the EV user response is taken into account.

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Data-Driven Adequacy and Security Assessment: Machine Learning Trends for Reliable Smart Energy Networks

Data-Driven Adequacy and Security Assessment: Machine Learni...

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Smart Grid Conference (SGC)

作者： Mohammad Mohsen Hayati Hassan Majidi Hossein Shahinzadeh Mehdi Abapour Mahmud Fotuhi-Firuzabad Gevork B. Gharehpetian Faculty of Electrical and Computer Engineering Energy Systems Research Institute (ESRI) University of Tabriz Tabriz Iran Department of Electrical Engineering Amirkabir University of Technology Tehran Iran Center of Excellence in Power System Management and Control (CEPSMC) Sharif University of Technology Tehran Iran

ISBN: (数字)9798331511333

ISBN: (纸本)9798331511340

Smart energy networks (SENs) face numerous challenges related to security, reliability, operational uncertainties, and increasing penetration of renewable energies (REs), necessitating advanced methodologies for adequacy and security assessment. This study delves into the utilization of machine learning-driven approaches (MLDAs) to quantify reliability and gauge the dependability of future sustainable SENs. By autonomously acquiring knowledge from datasets, MLDAs offer swift and reliable evaluations, surpassing traditional methodologies. The integration of artificial intelligence (AI) in enhancing power system reliability is highlighted, emphasizing the importance of extensive datasets and evolving AI algorithms. Data-driven approaches empower energy network operators to proactively identify and mitigate security risks, enhancing the reliability of critical infrastructure systems. The research underscores the significance of constructing reliable databases, addressing challenges in real-time operations, and ensuring the performance and trustworthiness of machine learning (ML) algorithms. Overall, the study showcases the potential of ML techniques in revolutionizing reliability management and risk assessment in smart energy networks, paving the way for sustainable and reliable power systems.

关键词： Uncertainty Machine learning algorithms Databases Machine learning power system reliability Smart grids management Reliability Security Risk management

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A Risk-Aware and Socp-Based Wind Expansion Planning Model Considering Correlated Uncertainties Using Copula Method

SSRN

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SSRN 2023年

作者： Ranjbar, Hossein Saber, Hossein School of Electrical and Mechanical Engineering The University of Adelaide Adelaide Australia Centre of Excellence in Power System Control and Management Department of Electrical Engineering Sharif University of Technology Tehran Iran

Integration of large-scale renewable energy sources (RESs) into existing power grids is challenging for power system operators and planners due to the intermittent and uncertain characteristics of RESs and the limitation of transmission capacity. This paper presents a new risk-based framework to obtain the optimal placement and sizing of wind farms in the bulk power system considering the impact of mutual correlation between wind farms' power productions in different candidate buses. In this regard, a second-order cone programming (SOCP) optimization problem is developed to minimize the total expected social cost including the operation cost of conventional generators, wind curtailment cost, and the investment cost of newly installed wind farms. In the proposed model, the correlated uncertainties of wind power production are incorporated using the copula method. Also, the conditional value-at-risk (CVaR) measure is utilized to manage the risk of the model associated with uncertainties. The proposed planning model is then implemented into the 6-bus Garver and IEEE 118-bus test systems to demonstrate the effectiveness and applicability of the proposed wind power expansion planning model. © 2023, The Authors. All rights reserved.

关键词： Second-order cone programming

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Small-Signal Stability Analysis of DFIG-based Wind Turbines Equipped with Auxiliary control systems under Variable Wind Speed

Small-Signal Stability Analysis of DFIG-based Wind Turbines ...

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International Conference on Environment and Electrical Engineering (EEEIC)

作者： Mohammad Hasan Ravanji Mostafa Parniani Center of Excellence in Power System Management & Control (CEPSMC) Sharif University of Technology (SUT) Tehran Iran

ISBN: (数字)9781728174556

ISBN: (纸本)9781728174563

Providing ancillary services such as frequency support and power operating reserve by doubly fed induction gener-ator-based wind turbines has received considerable attention in the recent years, and several auxiliary controllers have been proposed to provide these services. In this paper, small-signal stability of wind turbines equipped with these controllers is assessed in presence of a frequency event and varying wind speed conditions. For this purpose, first, several auxiliary controllers are discussed, and a unified auxiliary controller (UAC) is proposed, which can represent all of these controllers simultaneously. Then, the overall transfer function from the wind speed to the wind turbine rotor speed considering the proposed UAC is derived. Moreover, by neglecting the power grid effects, an approximated first-order transfer function is also obtained. Exhaustive simulations examine the system stability with UAC, under both computer-generated and real wind speed profiles. In addition, simulation results confirm validity of the obtained detailed transfer function and the accuracy of its approximated version for several auxiliary controllers, by selecting appropriate UAC parameters.

关键词： Wind speed Maximum power point trackers Mathematical model Stability analysis Rotors power system stability Wind turbines

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An Adaptive droop Curve for the Superimposed Frequency Method in DC Microgrids

An Adaptive droop Curve for the Superimposed Frequency Metho...

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IEEE Workshop on Computers in power Electronics

作者： Mohammad Jafari Matehkolaei Saeed Peyghami Hosein Mokhtari Frede Blaabjerg The Center of Excellence in Power System Management and Control Sharif University of Technology Tehran Iran Aalborg University Aalborg Denmark

ISBN: (数字)9781728171609

ISBN: (纸本)9781728171616

This paper proposes a new adaptive droop curve to ensure the stability of the superimposed frequency method (SFM) for the control of DC Microgrids. SFM has a remarkable accuracy in load-sharing and voltage regulations among different control strategies of DC microgrids. However, this method suffers from some levels of instability in terms of the load variations. This is due to (i) location of the system dominant poles; which is really sensitive to the variations of the system loading, and (ii) limitations in the transferred reactive power; which is used to regulate source DC voltages. Therefore, a new strategy based on an adaptive droop curve is presented in this paper to keep the system dominant poles in an acceptable area and its performance is verified using different simulation studies in MATLAB/SIMULINK environment.

关键词： Reactive power Voltage control Microgrids Loading Adaptive systems Stability analysis Frequency control

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Transformer components impact on compatibility of measured PDs:comparison of IEC60270 and RF methods

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High Voltage 2019年第1期4卷 33-40页

作者： Keyvan Firuzi Mehdi Vakilian B.Toan Phung Trevor Blackburn Electrical Engineering Department and Centre of Excellence in Power System Management and Control Sharif University of TechnologyTehranIran School of Electrical Engineering&Telecommunications University of New South WalesSydneyAustralia

power transformer partial discharge signal measurement using Radio Frequency method has advantages over IEC 60270‘apparent charge’measurement method for online monitoring due to greater immunity against external ***,the lack of a well-defined calibration relationship between the two methods is main disadvantage of RF *** measurements,using these two methods,carried out on various transformer PD source models,in laboratory,to investigate main parameters that affect the relationship of results of these two *** this paper,factors that influence this relationship are classified into three groups:(i)type of PD sources,(ii)transformer windings as PD signal transmitter,and(iii)the inner structure of the ***,the relationship between these two methods has been investigated for some simple types of PD ***,by adding the winding structure model to the void,which is the PD source,its impact on each measurement method and the relationship between them have been *** impact of inner structure on the relation between the two methods is compensated through a formula which is proposed as a means for calibration of the RF partial discharge measurement *** to compensate for internal insulating system effects more research is required.

关键词： winding disadvantage adding

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Multi-Objective DER Planning Framework as a TEP Alternative: An Augmented Epsilon-Constraint Approach

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IEEE Transactions on Industry Applications 2025年

作者： Saber, Hossein Ranjbar, Hossein Mazaheri, Hesam Sharif University of Technology Center of Excellence in Power System Control and Management Electrical Engineering Department Tehran11365-11155 Iran University of Adelaide School of Electrical and Mechanical Engineering Adelaide Australia Texas A&M University Department of Electrical and Computer Engineering College StationTX United States

Recently, the construction of new transmission lines has faced extreme challenges due to ever-increasing environmental concerns and construction costs. Investing in distributed energy resources (DERs) offers a viable alternative to reduce reliance on new transmission lines. This study introduces a multi-objective bi-level DER planning model as an alternative to transmission network reinforcement. The upper-level problem aims to minimize the total cost of DERs, mitigate the congestion cost of the transmission network, and improve the system reliability while ensuring the profitability of the DER investment. In the lower-level problem, the wholesale electricity market is cleared to determine the optimal locational marginal prices and the operational status of the bulk power system. A scenario-based approach is employed to account for uncertainties in future loads, renewable generation, and generator bid prices. The bi-level problem is reformulated as a single-level optimization using the strong duality condition, with non-linear terms linearized through the big-M method and complementary slackness conditions. The augmented epsilon-constraint method is then employed to solve the multi-objective optimization problem. Finally, the effectiveness and applicability of the proposed DER planning model are evaluated using the IEEE 24-bus test system, offering insights from both system operators and DER investors. © 1972-2012 IEEE.

关键词： Multiobjective optimization

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A Comprehensive Condition Assessment Method for Line Composite Insulator Asset management

A Comprehensive Condition Assessment Method for Line Composi...

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International power system Conference (PSC)

作者： Mahdi Eshaghi-Maskouni Ali Abedini-Livari Mehdi Vakilian Center of Excellence in Power System Management and Control Sharif University of Technology Tehran Iran

ISBN: (数字)9781728152738

ISBN: (纸本)9781728152745

Electricity distribution companies always strive to operate the power network efficiently and reliably so that their network be able to satisfy the growing needs for electricity. To achieve these goals in a power network, a comprehensive asset management plan with a sound policy for inspection, periodic maintenance, replacement, and disposal of depreciated equipment is required. In this paper, authors concentrate on line composite insulators asset management. These types of insulators have desirable characteristics such as: hydrophobicity, lower price, and lower weight if compared with the ceramic insulators which make them more attractive than other types of insulators. The output of “insulation condition assessment” of these insulators is employed to develop an asset management plan; which involves: inspection plan, condition monitoring, determination of the aging stage, early failure predictions, washing schedules, and repair strategies. Various condition monitoring methods are used in this work, such as: measuring the contact angle of water droplets on the insulator's surface, scanning electron microscopy (SEM), and leakage current analysis to determine the degradation process and the aging rate of composite insulator. Finally, the asset management algorithm of these insulators is presented on the basis of insulation condition assessment, and then it is applied to the condition assessment of three samples of the composite insulators to improve the reliability and life of the insulator system.

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