Article
Green & Sustainable Science & Technology
Siyuan Wang, Rui Bo
Summary: Climate change increases the risk of multiple extreme weather events, posing challenges for distribution system planners in a renewable energy era. This research proposes a resilience-oriented planning approach that considers various extreme events. A hybrid-stochastic-and-robust optimization model is developed to make flexible and affordable decisions, considering both long-term and short-term uncertainties. Case studies highlight the benefits of this approach in protecting distribution systems against multiple extreme weather events.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Siyuan Wang, Rui Bo
Summary: Climate change increases the risk of multiple extreme weather events in a region, posing challenges for distribution system planners. Flexible planning approaches are needed to adapt to uncertainties in extreme weather scenarios. This study proposes a resilience-oriented distribution system planning approach considering multiple extreme weather events, using a multi-stage hybrid-stochastic-and-robust formulation. A progressive hedging algorithm embedded with a nested column-and-constraint generation method is developed to solve the model. Case studies demonstrate the benefits of the proposed approach in making flexible and affordable planning decisions to protect distribution systems against multiple extreme weather events.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Abodh Poudyal, Shiva Poudel, Anamika Dubey
Summary: Enhancing the resilience of power distribution systems to extreme weather events is critical. By upgrading the infrastructure and investing in smart grid technologies, grid resilience can be effectively enhanced.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Abodh Poudyal, Shiva Poudel, Anamika Dubey
Summary: Enhancing the resilience of power distribution systems to extreme weather events through system hardening and smart grid technologies is crucial. Existing distribution system planning methods focus on persistent costs and reliability, while resilience requires considering the impacts of high impact low probability (HILP) events. This paper proposes a risk-based approach that explicitly models the impacts of HILP events and incorporates them in long-term planning decisions, providing flexibility for analyzing trade-offs between risk-neutral and risk-averse strategies.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Engineering, Electrical & Electronic
Kumar Utkarsh, Fei Ding
Summary: This paper presents a novel method based on self-organizing map to quantify the resilience of a system and enhance its resilience against extreme events through resource allocation and dispatch algorithm. The effectiveness of the proposed method is demonstrated through case studies on distribution systems.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Automation & Control Systems
Farhad Samadi Gazijahani, Javad Salehi, Miadreza Shafie-Khah
Summary: This article proposes a novel three-stage buildup restoration planning strategy to enhance the resilience of interdependent power and natural gas systems. The strategy includes sectionalizing the system into autonomous microgrids, restoring them in parallel with cold load pick-up conditions, and applying remedial actions such as topology refurbishment and intentional microgrid islanding. The proposed framework also addresses uncertainties through the use of stochastic/information gap decision theory (IGDT) method.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Public, Environmental & Occupational Health
John George Richmond, Rowena Hill
Summary: This study explores how local resilience structures in England can be utilized to achieve a comprehensive response to extreme heat events with the participation of the whole society. Based on a literature review, the study draws insights from research on health emergency response and extreme heat events in England. The findings suggest that local resilience forums play a critical role in addressing extreme heat events by tailoring information and resources to specific target groups within communities.
Article
Engineering, Electrical & Electronic
Dimitris N. Trakas, Nikos D. Hatziargyriou
Summary: This paper proposes a transmission resilience planning solution based on historical extreme weather events, aiming to enhance power system resilience by determining the underground placement of transmission lines to minimize load shedding.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Zhijun Qin, Xinwei Chen, Yunhe Hou, Hui Liu, Yude Yang
Summary: This study proposes a method to coordinate preventive dispatch, emergency dispatch, and restorative dispatch in transmission systems under extreme weather conditions, aiming to reduce overall loss and enhance power system resilience.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Automation & Control Systems
Milad Eslahi, Behrooz Vahidi, Pierluigi Siano
Summary: Taking into account the intermittency of renewable energy resources and uncertainty of load demand, this article proposes a new algorithm to address the uncertainty problem in power systems. Compared to existing methods, this algorithm is more flexible, provides reliable global optimal results, and has been proven effective and efficient in practical systems.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Yongkang Zeng, Chao Qin, Jiancun Liu, Xiandong Xu
Summary: A multi-resource DS resilience enhancement method is proposed in this paper, formulating the prevention and restoration of DSs as multiple stages based on the physical process and coordinating various resources to enhance the resilience of DSs against extreme weather events. Multiple coupling relationships are considered and mathematically formulated as a mixed-integer linear programming (MILP) model, with cases introduced to verify the effectiveness of the method in reducing DS degradation and speeding up the recovery process.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Qingxin Shi, Fangxing Li, Mohammed Olama, Jin Dong, Yaosuo Xue, Michael Starke, Wei Feng, Chris Winstead, Teja Kuruganti
Summary: The paper proposes a post-extreme-event restoration (PEER) algorithm to enhance distribution system resilience by minimizing costs and improving survivability. A resilience evaluation algorithm using reduced-scenario Monte Carlo simulation validates the effectiveness of the PEER algorithm in reducing expected energy not served.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Masoud Khajehvand, Ahmad Fakharian, Mostafa Sedighizadeh
Summary: This paper proposes a risk-averse strategy-based decision making tool to assist the smart distribution network operator in day-ahead operational practices, aiming to reduce consumers' electricity prices and optimize financial transactions, reliability, and planning goals. The efficiency and efficacy of the proposed model are evaluated on an IEEE 33-bus SDN.
APPLIED SOFT COMPUTING
(2021)
Article
Energy & Fuels
Yixin Ding, Tianfeng Lu, Zhiyu Wang, Houyi Wu, Xuewen Lu
Summary: A framework for enhancing the resilience of power distribution systems to natural disasters caused by extreme weather is proposed. The framework analyzes the impact of extreme weather events on power system components and evaluates the failure probability of the components. The vulnerability model of the components is established and a multi-stage performance response curve is used to quantify the resilience level of the network. Based on this, a framework for disaster resilience enhancement before, during, and after disasters is proposed.
Article
Engineering, Electrical & Electronic
Mostafa Ghasemi, Ahad Kazemi, Ettore Bompard, Farrokh Aminifar
Summary: This paper proposes a planning strategy based on a two-stage stochastic programming model to enhance the resilience of distribution systems. The first stage focuses on maximizing system resilience through decisions on line hardening, DG placement, MEG allocation, and tie switch placement, while the second stage aims to minimize system operation costs to achieve a techno-economic compromise.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Mehrdad Hajizadeh, Gevork B. Gharehpetian, Saeid Gassem Zadeh, Mohammad Tolou Askari
Summary: This research aims to evaluate the positive effect of private investors in microgrid configuration and optimize it using a two-objective function. Reliability indices are considered as constraints for comprehensive evaluation of the planning problem. The study shows the effects of demand side management in reducing operational costs through various demand response programs. The results reveal a reduction in total costs for both MGO and private investors in TOU-based demand response program.
IETE JOURNAL OF RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Mehrdad Hajizadeh, G. B. Gharehpetian, Saeid Ghassem Zadeh, Mohammad Tolou Askari
Summary: In this study, the optimization of smart parking lots (SPL) with various energy sources is explored to minimize voltage drop and power loss in distribution networks. Simulations using direct load control and time of use reveal improved technical constraints of SPL-based distribution networks. A two-stage optimization algorithm is employed for this purpose.
EVOLUTIONARY INTELLIGENCE
(2023)
Article
Engineering, Electrical & Electronic
A. Azizpour, M. Radmehr, M. Firouzi, G. B. Gharehpetian
Summary: This paper proposes a novel AC/DC fault current limiter (ADFCL) to limit short circuit current in hybrid AC/DC microgrids (ADMGs). Both experimental and simulation results demonstrate that the ADFCL can limit the faulty microgrid using only one limiting resistor without affecting the performance of the healthy one.
INTERNATIONAL JOURNAL OF ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Nassim Shahbazi, Sajad Bagheri, Gevork B. Gharehpetian
Summary: This article introduces a new differential protection scheme for transformers, which is based on the self-adaptive biased characteristic curve and takes into account CCFs and various disturbances. By using the maximum overlap discrete wavelet transform and MATLAB software, a new self-adaptive biased characteristic curve is obtained and the differential protection operation is adjusted based on this curve. Simulation results show that this scheme can accurately detect various faults and events in transformers and improve system reliability.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Hamid Karimi, G. B. Gharehpetian, Roya Ahmadiahangar, Argo Rosin
Summary: This paper proposes a multi-objective optimization framework to improve the performance of demand response programs in distribution networks. The uncoordinated response of customers creates new peaks in the load profile when market prices are low, so the framework focuses on reducing operating costs and enhancing program efficiency. The model introduces the Average Power Flexibility during Peak Period Index (APFDPPI) to evaluate energy flexibility and simulation results show significant improvements compared to uncoordinated programs.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Automation & Control Systems
Mahdi Zolfaghari, Gevork B. B. Gharehpetian
Summary: This study presents a new platform for connecting multiple microgrids using a unified interphase power controller (UIPC), which would enable a system of systems with interconnected AC and DC microgrids to exchange power in a controlled manner. The UIPC is designed with a new structure based on a current-controlled four-leg power converter configuration to satisfy voltage and frequency support. Additionally, the UIPC is equipped with an affine projection-like optimal control (APLOC) strategy for managing power and voltage oscillations in the heterogeneous environment. Simulation results demonstrate the effectiveness of the proposed networked microgrids model in controlling power exchange and improving power quality.
IET CONTROL THEORY AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Mohammad Saeed Mahdavi, Mohammad Saleh Karimzadeh, Tohid Rahimi, Gevork Babamalek Gharehpetian
Summary: This paper proposes a fault-tolerant topology and fault diagnosis algorithm for a bidirectional DC-DC converter in a BESS. The topology can detect open circuit faults and reconfigure the system to ensure safe and continuous operation. The fault diagnosis algorithm detects open circuit faults by observing the current of the inductors, eliminating the need for sensors and reducing the cost, weight, volume, and complexity of the system.
Article
Automation & Control Systems
Arya Hosseini, Amin Siahchehreh Badeli, Masoud Davari, Samad Sheikhaei, Gevork B. Gharehpetian
Summary: This article proposes a novel digital control method for low-power applications in multiple-input, single-inductor, multiple-output dc-dc converters. It utilizes stability analysis, time-multiplexing control method, and variable-frequency pulsewidth modulation to charge each output with different frequencies, while also implementing a digitally controlled zero-current switching technique for optimal inductor discharge duty cycle determination.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Mojtaba Fekri, Javad Nikoukar, Gevork B. Gharehpetian
Summary: This paper proposes a cascading failure model based on transmission line thermal limit to extract and analyze hazardous high-probability scenarios of N-K (1<K<3) contingencies. The proposed fault evaluation method is employed for risk assessment of cascading failures and identification of their initial events. The proposed approach considers vulnerability criteria and operation constraints. The results of application to the standard IEEE 39-bus test system verify the efficiency and accuracy of the proposed approach.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Automation & Control Systems
Rohollah Abdollahi, Gevork B. Gharehpetian, Amjad Anvari-Moghaddam, Frede Blaabjerg
Summary: This article proposes a new simple pulse multiplication circuit (SPMC) with low current stress to upgrade a normal 20-pulse autotransformer rectifier (20PAR) to a 40PAR. The SPMC includes two tapped interphase reactors and two additional diodes with lower conduction losses. Compared to conventional pulse multiplication circuits, the proposed SPMC does not require a zero-sequence blocking transformer, making it simpler to implement. Simulation and experimental results show that the input current's total harmonic distortion using 40PAR is less than 3%, meeting the DO-160G requirements for aviation applications.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Mohamad-Amin Nasr, Ali Hooshyar
Summary: As an integral part of power systems dominated by inverter-based resources, grid-forming inverters must be able to withstand low voltages. According to the recently approved IEEE 2800-2022 standard, all inverters are required to absorb negative-sequence reactive current based on the voltage at their terminals during asymmetrical low-voltage ride-through conditions. However, existing control methods for grid-forming inverters either suppress or leave uncontrolled the negative-sequence component of fault current. To address this issue, this article proposes a control scheme that allows grid-forming inverters to absorb reactive current in the negative-sequence circuit while regulating voltage in the positive-sequence circuit. The proposed control system includes an adaptive virtual impedance-based current-limiting scheme and an adaptive sequence current division scheme to meet the requirements of the IEEE 2800-2022 standard.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
Article
Construction & Building Technology
Monir Kamali, Bahador Fani, Ghazanfar Shahgholian, Gevork B. Gharehpetian, Masoud Shafiee
Summary: In this study, an improved model of optimal power sharing, energy management, and THD control in AC microgrids is proposed. The model considers the random behavior of electric vehicles and aims to control voltage and frequency parameters. The primary controller focuses on optimal power sharing, impedance mismatch reduction, and THD reduction, while the secondary controller uses the PSO algorithm to minimize power distribution error and optimize virtual impedance parameters. The proposed model is compared with conventional and other meta-heuristic methods, and its stability is verified using various analysis techniques.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Computer Science, Information Systems
Arash Imanlou, Ebrahim Seifi Najmi, Reza Behkam, Morteza Nazari-Heris, Gevork B. Gharehpetian
Summary: This paper proposes a new high step-up DC-DC topology based on the active switched-inductor technique, which utilizes a coupled inductor for performance enhancement. The presented topology achieves better voltage gain and efficiency, reduces power loss by using MOSFETs with a low voltage rating, enhances voltage gain by reducing the turn ratio of the coupled inductor, achieves zero DC bias and solves the core saturation problem. Experimental results verify the validity of the study and the performance of the proposed topology.
Article
Computer Science, Information Systems
Alireza Asadi, Mohammad Saleh Karimzadeh, Xiaodong Liang, Mohammad Saeed Mahdavi, Gevork B. Gharehpetian
Summary: This paper presents a single-inductor multi-input single-output (SI-MISO) DC-DC boost converter for solar photovoltaic (PV) systems in DC or AC grids. The converter utilizes a new switching algorithm to independently control the output voltage and power absorbed from each source, resulting in a simple and unique controller. Additionally, a multivariable control system and a proportional-integral-derivative (PID) cascade control scheme are employed to achieve N number of single-input single-output (SISO) systems without switch delays. Experimental results confirm the accuracy and efficiency of the proposed control scheme using a 100-W prototype converter.
Proceedings Paper
Green & Sustainable Science & Technology
Oveis Abedinia, Ali Ghasemi-Marzbali, Mohammad Shafiei, Behrouz Sobhani, Gevork B. Gharehpetian, Mehdi Bagheri
Summary: A multi-level model is proposed in this work to predict wind power generation. The wind speed is treated as a nonlinear input signal and processed through support vector machine, wavelet transform, and entropy-based feature selection. The proposed SVM model is used to predict the optimal pattern. Real world engineering test results demonstrate the accuracy and high speed of the proposed method.
2022 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2022 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)
(2022)
