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IEEE International Conference on systems, Man and Cybernetics

作者： Ke Meng Zhao Yang Dong Kit Po Wong Department of Electrical Engineering Hong Kong Polytechnic University Hong Kong China School of Electrical Electronic and Computer Engineering University of Western Australia Perth Australia

power system simulator for engineering (PSS_E) has gained great success in power energy industry for its powerful simulation and analysis functions. Along with market deregulation, power system planning and stability analysis warrants more effective and fast techniques due to the ever expanding large-scale interconnection of power networks. Running large-scale system multiple case studies on PSS_E will cost intensive time and efforts. In this paper, we accelerate PSS_E dynamic simulations with EnFuzion based distributed computing technique. This approach is proved to be effective by testing with 39-bus New England power system ¿n-1¿ and ¿n-1-1¿ contingency analysis. The results show that the simulation process can be speeded dramatically and the total elapsed time can be reduced proportionally with the increase of computer nodes.

关键词： power system analysis computing power system dynamics power system simulation Computational modeling power system interconnection power system planning Analytical models Large-scale systems power engineering computing power system stability

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RSA-grid: a grid computing based framework for power system reliability and security analysis

RSA-grid: a grid computing based framework for power system ...

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IEEE General Meeting power& Energy Society

作者： M. Ali Z.Y. Dong X. Li P. Zhang School of Information Technology and Electrical Engineering University of Queensland Brisbane QLD Australia Electric Power Research Institute Inc. Palo Alto CA USA

Grid computing is an emerging technology for providing the high performance computing capability and collaboration mechanism for solving the collaborated and complex problems while using the existing resources. In this paper, a grid computing based framework is proposed for the probabilistic based power system reliability and security analysis. The suggested name of this computing grid is reliability and security grid (RSA-grid). Then the architecture of this grid is presented. A prototype system has been built for further development of grid-based services for power systems reliability and security assessment based on probabilistic techniques, which require high performance computing and large amount of memory. Preliminary results based on prototype of this grid show that RSA-grid can provide the comprehensive assessment results for real power systems efficiently and economically

关键词： Grid computing power system reliability power system security High performance computing Collaboration Prototypes power system analysis computing Computer architecture power system economics power generation economics

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The Grid computing Model - A New computing Model For The analysis and Computation Of Large-Scale power system

The Grid Computing Model - A New Computing Model For The Ana...

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IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific

作者： Fang Hualiang Mao Chengxiong Zhang Buhan Lu Jiming College of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

The present sequential and parallel computing can not satisfy the requirements of large-scale power system computation. This paper introduces a new solution called the grid computing model, which may greatly enhance total speed and efficiency by utilizing existing resources without incurring any additional hardware costs. In this paper, the proposed grid computing model is applied to optimal power flow (OPF). Multiple partition is implemented on OPF, and relations among tasks are tuned effectively. Two different OPF computation schemes are designed and run on the same "Lab Grid". To evaluate the performance of grid platform, the total speedup (TS) and the total efficiency (TE) are put forward in this paper. Different experiments are done on the different size "Lab Grid". The resulting data has shown that the grid model is capable of acquiring higher TS and TE. The grid model will become one of most effective means to solve electric power computation problems

关键词： Grid computing power system modeling power system analysis computing Large-scale systems Tellurium Parallel processing Concurrent computing Hardware Costs Load flow

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Soft computing for Voltage Stability analysis and Contingency Ranking in power system

Soft Computing for Voltage Stability Analysis and Contingenc...

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International Conference on Advances in computing, Control, & Telecommunication Technologies (ACT)

作者： C. Subramani S.S. Dash M. Arun Bhaskar M. Jagadeeshkumar K. Balaji Department of EEE Velammal College of Engineering and Technology Chennai Tamil Nadu India Department of EEE S. R. M. University Chennai Tamil Nadu India

Voltage stability has recently become a challenging problem for many power systems. Voltage instability is one phenomenon that could happen in power system due to its stressed condition. The result would be the occurrence of voltage collapse which leads to total blackout to the whole system Investigation and online monitoring of power system stability have become vital factors to electric utility suppliers. Suitable preventive control actions can be implemented considering contingencies that are likely to affect the power system performance. An effective method for contingency ranking is proposed in this paper. This method calculates the voltage stability margin considering branch outages. The basic methodology implied in this technique is the investigation of each line of the system through calculating line stability indices. The point at which Voltage Stability Index (VSI) close to unity indicates the maximum possible connected load termed as maximum loadability at the point of bifurcation. This technique is tested on the IEEE system and results proved that the contingency ranking indicates the severity of the voltage stability condition in a power system due to line outage.

关键词： power system analysis computing Voltage Stability analysis power system stability power industry Control systems power system control power systems Bifurcation system testing

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Characterizing the Oscillatory Properties of Bulk Electric systems

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IEEE ACCESS 2025年 13卷 32883-32900页

作者： Trudnowski, Daniel J. Follum, Jim Elliott, Ryan T. Schoenwald, David A. Pierre, John W. Montana Technol Univ Elect Engn Dept Butte MT 59701 USA Pacific Northwest Natl Lab Richland WA 99354 USA Sandia Natl Labs Albuquerque NM 87185 USA Univ Wyoming Elect Engn & Comp Sci Laramie WY 82071 USA

This paper presents a process for characterizing the oscillatory dynamics of a large bulk power system. As a demonstration, the process is applied to the Western Interconnection of North America. Several complementary analysis approaches, both new and existing, are employed to provide a comprehensive understanding of the oscillatory properties of the system. Established modal analysis techniques based on ringdown and mode-meter algorithms are utilized. In addition, we derive and apply methods based on spectral correlation analysis to identify modal frequencies, distinguish between modes that are closely spaced in frequency, and determine locations at which the modes are observable. Critical interarea modes are identified and characterized using actual-system synchrophasor measurements taken over several years of operation in concert with industry-standard simulation models. This includes 145 hours of PMU data and two planning base cases.

关键词： Generators power system dynamics Damping power system stability Shape Oscillators power measurement Load modeling Reliability power system reliability Energy resources power engineering power generation power grids power system analysis computing power system dynamics power system measurements power system reliability power system stability

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Harmonic Mitigation in power systems With High Wind Sources Penetration by Placing Passive Filters Considering Resonance Issues: A Case Study of the Sistan power Grid

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IET RENEWABLE power GENERATION 2025年第1期19卷

作者： Setamkesh, Saeid Karimi, Ali Rahimi, Mohsen Univ Kashan Fac Elect & Comp Engn Kashan Iran

The harmonic challenge is high in power systems where many wind farms (WFs) are installed due to using power electronic devices. This paper proposes a multi-objective framework with minimising THD index and cost function for reducing harmonics in the presence of several WFs to determine the type, number, location, size, and tuning frequency of passive filters considering resonance issues. Much previous research has focused on local harmonic reduction in a WF, and less attention has been paid to a region with multiple WFs. The Milnader region of the Sistan power grid in Iran has been selected to implement the proposed framework. As Iran's wind energy hub, planning studies for constructing several WFs are underway in this region. Due to many decision variables of the problem, the NSGA-II algorithm is implemented in MATLAB. Still, the normal and harmonic load flow analysis and frequency scanning are performed in the DIgSILENT. The simulation results are evaluated as a set of Pareto front solutions from different aspects, and finally, among the 4 selected optimal solutions, Solution #4 is chosen considering the resonance considerations, which in most of the buses in the region, THD reaches below 1%.

关键词： ferroresonance harmonic analysis passive filters power system analysis computing wind power plants

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Outer Approximation Method for Discrete AC Optimal power Flow

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IEEE TRANSACTIONS ON power systemS 2025年第2期40卷 1943-1954页

作者： Jabr, Rabih A. Amer Univ Beirut Dept Elect & Comp Engn Beirut 11072020 Lebanon

This paper introduces an Outer Approximation (OA) method for solving discrete AC Optimal power Flow (OPF) problems that account for switching decisions. The OPF problem is formulated via the extended conic quadratic format. It includes selecting generators for dispatch and controlling switched-type capacitor/inductor banks. The OA method is based on relaxing nonlinear equality constraints into conic and linear inequalities with penalty slack variables. The resulting Mixed-Integer Second-Order Cone Programming (MISOCP) solution is iterated with a continuous variable Nonlinear Programming (NLP) solver that holds the discrete decisions constant at their most recent MISOCP values. The OA method can utilize polyhedral approximations and is scalable to test instances with more than 3000 nodes. Comparisons are reported with globally optimal discrete AC OPF results from the recent literature and a commercial solver for nonconvex Mixed-Integer Nonlinear Programming (MINLP) utilizing dynamic outer approximation and piecewise linear approximation with spatial branching. Comparative analysis shows that the proposed OA method provides global solutions for previously studied test instances while offering significant speed-up. It also applies to larger test networks where the other methods fail to calculate a feasible solution.

关键词： Switches Reactive power Programming Load flow Renewable energy sources Mathematical models Generators Convex optimization iterative algorithms mixed-integer nonlinear programming optimization methods power system analysis computing power system management

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Data Valuation From Data-Driven Optimization

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IEEE TRANSACTIONS ON CONTROL OF NETWORK systemS 2025年第1期12卷 954-966页

作者： Mieth, Robert Morales, Juan M. Poor, H. Vincent Rutgers Univ New Brunswick Dept Ind & Syst Engn Piscataway NJ 08854 USA Univ Malaga Dept Math Anal Stat & Operat Res & Appl Math Malaga 29071 Spain Princeton Univ Dept Elect & Comp Engn Princeton NJ 08544 USA

With the ongoing investment in data collection and communication technology in power systems, data-driven optimization has been established as a powerful tool for system operators to handle stochastic system states caused by weather-dependent and behavior-dependent resources. However, most methods are ignorant to data quality, which may differ based on measurement and underlying privacy-protection mechanisms. This article addresses this shortcoming by proposing a practical data quality metric based on Wasserstein distance, leveraging a novel modification of distributionally robust optimization using information from multiple datasets with heterogeneous quality to valuate data, applying the proposd optimization framework to an optimal power flow problem, and, finally, showing a direct method to valuate data from the optimal solution. We conduct numerical experiments to analyze and illustrate the proposed model and publish the implementation open source.

关键词： Data integrity Decision making Cost accounting Measurement power systems Optimization Costs Data-driven modeling differential privacy forecast uncertainty power system analysis computing wind energy integration

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Increasing generation capacity of natural gas and renewable energy for economic dispatch benefit and carbon credit allocation in perspective of power generation end

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JOURNAL OF ENGINEERING-JOE 2025年第1期2025卷

作者： Huang, Ping-Tzan Changchien, Shih-Kuen Gu, Feng-Chang Lin, Chia-Hung Natl Pingtung Univ Sci & Technol Dept Biomechatron Engn Pingtung Cty 91201 Taiwan Natl Chin Yi Univ Technol Dept Elect Engn Taichung 41170 Taiwan

A carbon credit is a permit to allocate specific carbon emissions and can also be converted into a traded commodity through the carbon trading market (CTM). For government agencies and private enterprises, these carbon credits can be traded on the CTM. Under this trading mechanism, the institutions with low-carbon emissions can obtain the specific benefits and rewards from fossil fuel consumption reduction, carbon emission reduction, and remaining carbon emissions credits, thereby incentivizing them to reduce greenhouse gas (GHG) emissions and achieve the overall carbon reduction goals. Carbon emissions can be reduced from either power generation ends or high-level pollution electricity-consumer ends. Under the schemes of regulated and voluntary markets, the target of carbon emission reduction can be achieved within a foreseeable timeframe by using the power generation proportions adjustment, saving energy on the electricity-consumer ends, strengthening energy management and efficiency, and increasing renewable energy penetration in the electrical grid. However, power generation significantly has major contributions to carbon dioxide (CO2) and other GHG emissions. For economic dispatch (ED) and carbon emission allocation, this study investigates the ED benefits of power generation proportions adjustment with increasing the generation capacity of natural gas and renewable energy in perspective of power generation end. Four typical scenarios are designed and advanced strategy with different power generation proportions to obtain the fuel cost of various generation units, the carbon emissions of various fuel units, and the benefits of carbon emission reductions, which are used to validate the benefits of increasing the proportions of natural gas generations and renewable energy as decreasing the proportions of oil fuel generations. Considering various scenarios, fuel costs, pollution emissions, and increasing renewable energy, the power generation, carbon emissions, an

关键词： power generation dispatch power system analysis computing renewable power generation system

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Analytical Identification Method of Generalized Short-Circuit Ratio Using Phasor Measurement Units

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IET GENERATION TRANSMISSION & DISTRIBUTION 2025年第1期19卷

作者： Han, Zelei Ju, Ping Li, Hongyu Liu, Yilu Hohai Univ Coll Elect & Power Engn Nanjing Peoples R China Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN USA

This paper introduces a novel analytical approach for the identification of the admittance matrix and the generalized short-circuit ratio (gSCR) in power systems integrated with renewable energy sources. The proposed method leverages voltage and current measurements from phasor measurement units (PMUs) to construct a least squares objective function, which is then solved using matrix calculus and partial derivatives. Unlike conventional optimization algorithms, this approach provides an analytical solution that substantially reduces data requirements, enabling the efficient and accurate identification of the gSCR with smaller datasets. Additionally, its fixed computational complexity allows for real-time updates as new data are collected, ensuring continuous refinement of the system of equations and enabling rapid, precise gSCR calculations. The method also exhibits strong robustness against measurement noise, making it well-suited for practical applications in dynamic power systems. The combination of reduced data requirements, real-time adaptability, noise robustness and fixed computational load establishes this method as a highly efficient and reliable tool for real-time power system stability analysis. Case studies on an EPRI 36-bus system demonstrate the method's effectiveness, highlighting its accuracy in closely matching true gSCR values, even under diverse disturbances and noisy conditions.

关键词： least squares approximations matrix algebra power system analysis computing power system stability

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