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Journal ArticleDOI

MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

TL;DR: The details of the network modeling and problem formulations used by MATPOWER, including its extensible OPF architecture, are presented, which are used internally to implement several extensions to the standard OPF problem, including piece-wise linear cost functions, dispatchable loads, generator capability curves, and branch angle difference limits.
Abstract: MATPOWER is an open-source Matlab-based power system simulation package that provides a high-level set of power flow, optimal power flow (OPF), and other tools targeted toward researchers, educators, and students. The OPF architecture is designed to be extensible, making it easy to add user-defined variables, costs, and constraints to the standard OPF problem. This paper presents the details of the network modeling and problem formulations used by MATPOWER, including its extensible OPF architecture. This structure is used internally to implement several extensions to the standard OPF problem, including piece-wise linear cost functions, dispatchable loads, generator capability curves, and branch angle difference limits. Simulation results are presented for a number of test cases comparing the performance of several available OPF solvers and demonstrating MATPOWER's ability to solve large-scale AC and DC OPF problems.

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Citations
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Journal ArticleDOI
TL;DR: It is demonstrated how improved situational awareness can help reduce false positives in intrusion detection and improvement of detection accuracy by fusion of features from cyber, security, and physical domains.
Abstract: Modern power systems equipped with advanced communication infrastructure are cyber-physical in nature. The traditional approach of leveraging physical measurements for detecting cyber-induced physical contingencies is insufficient to reflect the accurate cyber-physical states. Moreover, deploying conventional rule-based and anomaly-based intrusion detection systems for cyberattack detection results in higher false positives. Hence, independent usage of detection tools of cyberattacks in cyber and physical sides has a limited capability. In this work, a mechanism to fuse real-time data from cyber and physical domains, to improve situational awareness of the whole system is developed. It is demonstrated how improved situational awareness can help reduce false positives in intrusion detection. This cyber and physical data fusion results in cyber-physical state space explosion which is addressed using different feature transformation and selection techniques. Our fusion engine is further integrated into a cyber-physical power system testbed as an application that collects cyber and power system telemetry from multiple sensors emulating real-world data sources found in a utility. These are synthesized into features for algorithms to detect cyber intrusions. Results are presented using the proposed data fusion application to infer False Data and Command Injection (FDI and FCI)-based Man-in-The-Middle attacks. Post collection, the data fusion application uses time-synchronized merge and extracts features. This is followed by pre-processing such as imputation, categorical encoding, and feature reduction, before training supervised, semi-supervised, and unsupervised learning models to evaluate the performance of the intrusion detection system. A major finding is the improvement of detection accuracy by fusion of features from cyber, security, and physical domains. Additionally, it is observed that the semi-supervised co-training technique performs at par with supervised learning methods with the proposed feature vector. The approach and toolset, as well as the dataset that is generated can be utilized to prevent threats such as false data or command injection attacks from being carried out by identifying cyber intrusions accurately.

36 citations


Cites methods from "MATPOWER: Steady-State Operations, ..."

  • ...Tools such as MATPOWER [49] and pandapower [50] provide datasets for physical-side bad...

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  • ...Tools such as MATPOWER [49] and pandapower [50] provide datasets for physical-side bad data detection....

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Journal ArticleDOI
TL;DR: In this paper, a distributed power state estimation algorithm under PMU phase errors is proposed, which only involves local computations and limited information exchange between neighboring areas, thus alleviating the heavy communication burden compared to the centralized approach.
Abstract: Phasor measurement units (PMUs) have the advantage of providing direct measurements of power states. However, as the number of PMUs in a power system is limited, the traditional supervisory control and data acquisition (SCADA) system cannot be replaced by the PMU-based system overnight. Therefore, hybrid power state estimation taking advantage of both systems is important. As experiments show that sampling phase errors among PMUs are inevitable in practical deployment, this paper proposes a distributed power state estimation algorithm under PMU phase errors. The proposed distributed algorithm only involves local computations and limited information exchange between neighboring areas, thus alleviating the heavy communication burden compared to the centralized approach. Simulation results show that the performance of the proposed algorithm is very close to that of centralized optimal hybrid state estimates without sampling phase error.

35 citations

Journal ArticleDOI
TL;DR: Comparison of the results shows that fractional swarming intelligence outperformed the state-of-the-art counterparts by means of both line loss minimization and voltage deviation.
Abstract: Optimal reactive power dispatch (RPD) for reducing the real power losses of the transmission system is one of the paramount concerns for the research community to investigate the efficiency of power systems. In this paper, strength of meta-heuristic computing paradigm based on fractional-order Darwinian particle swarm optimization (FO-DPSO) is exploited for optimization of RPD problems in energy sector. The fitness functions including line loss minimization and voltage deviation (voltage profile index) are constructed to find the optimal reactive power flow for IEEE 30- and 57-bus test systems. The rich heritage of fractional evolutionary computing through variants of FO-DPSO is applied to minimization problem of optimal power flow by determination of control variables in terms of VAR compensators, bus voltages and transformer tap settings. Comparison of the results shows that fractional swarming intelligence outperformed the state-of-the-art counterparts by means of both line loss minimization and voltage deviation. Superiority of the proposed scheme is also validated for different degrees of freedom in the optimal RPD problems.

35 citations

Journal ArticleDOI
TL;DR: In this paper, an optimal power flow model with the consideration of flexible transmission line impedance is presented, where the original non-convex model can be transformed into a mixed integer quadratic programming that can be solved by branch and bound method.
Abstract: This letter presents an optimal power flow model with the consideration of flexible transmission line impedance. By the use of big-M based complementary constraints, the original non-convex model can be transformed into a mixed integer quadratic programming that can be solved by branch and bound method. Numerical results from several test systems show that flexible transmission lines can provide better economic dispatch and reduce the total generation cost. Moreover, some infeasible optimal power flow scenarios can become solvable with optimal adjustment of the flexible transmission line impedance.

35 citations


Cites background or methods from "MATPOWER: Steady-State Operations, ..."

  • ...Note that many transmission line limits are not available in [4]....

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  • ...In this section, the proposed model has been studied on six test systems available from MATPOWER [4] and implemented in MATLAB with the CPLEX 12.5....

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  • ...In this section, the proposed model has been studied on six test systems available from MATPOWER [4] and implemented in MATLAB with the CPLEX 12....

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Journal ArticleDOI
Serhat Duman1
TL;DR: The numerical results obtained from the MSA-AC were compared with both the traditional MSA method and with various optimization algorithms presented in the literature and indicate the potential of the proposed approach in finding the global optimum and the convergence to an optimal solution.
Abstract: The moth swarm algorithm (MSA) is a new meta-heuristic optimization technique inspired by the navigational style of moths in nature. This paper represents a novel modified MSA with an arithmetic crossover (MSA-AC) with the aim of improving the search for a global optimum, the convergence speed to an optimal solution, and the performance of the traditional MSA. The proposed MSA-AC method was applied in 23 standard benchmark test functions and used in six CEC 2005 composite benchmark test functions. Furthermore, in order to verify the success of the optimal solution, the MSA-AC approach was used to solve the optimal power flow problem in the two-terminal high-voltage direct current systems of the modified New England 39-bus and the modified WSCC 9-bus test systems. The numerical results obtained from the MSA-AC were compared with both the traditional MSA method and with various optimization algorithms presented in the literature. The outcomes obtained from the comparative results indicate the potential of the proposed approach in finding the global optimum and the convergence to an optimal solution.

35 citations

References
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Book
01 Jan 1984
TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
Abstract: Topics considered include characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security. This book is a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems. Material used was generated in the post-1966 period. Many (if not most) of the chapter problems require a digital computer. A background in steady-state power circuit analysis is required.

6,344 citations

Book
01 Jan 1977

1,937 citations

Journal ArticleDOI
TL;DR: This paper describes a simple, very reliable and extremely fast load-flow solution method that is attractive for accurate or approximate off-and on-line routine and contingency calculations for networks of any size, and can be implemented efficiently on computers with restrictive core-store capacities.
Abstract: This paper describes a simple, very reliable and extremely fast load-flow solution method with a wide range of practical application. It is attractive for accurate or approximate off-and on-line routine and contingency calculations for networks of any size, and can be implemented efficiently on computers with restrictive core-store capacities. The method is a development on other recent work employing the MW-?/ MVAR-V decoupling principle, and its precise algorithmic form has been determined by extensive numerical studies. The paper gives details of the method's performance on a series of practical problems of up to 1080 buses. A solution to within 0.01 MW/MVAR maximum bus mismatches is normally obtained in 4 to 7 iterations, each iteration being equal in speed to 1? Gauss-Seidel iterations or 1/5th of a Newton iteration. Correlations of general interest between the power-mismatch convergence criterion and actual solution accuracy are obtained.

1,447 citations

Journal ArticleDOI
TL;DR: The ac power flow problem can be solved efficiently by Newton's method because only five iterations, each equivalent to about seven of the widely used Gauss-Seidel method are required for an exact solution.
Abstract: The ac power flow problem can be solved efficiently by Newton's method. Only five iterations, each equivalent to about seven of the widely used Gauss-Seidel method, are required for an exact solution. Problem dependent memory and time requirements vary approximately in direct proportion to problem size. Problems of 500 to 1000 nodes can be solved on computers with 32K core memory. The method, introduced in 1961, has been made practical by optimally ordered Gaussian elimination and special programming techniques. Equations, programming details, and examples of solutions of large problems are given.

1,112 citations


"MATPOWER: Steady-State Operations, ..." refers methods in this paper

  • ...The default solver is based on a standard Newton’s method [7] using a polar form and a full Jacobian updated at each iteration....

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Journal ArticleDOI
TL;DR: Basic features, algorithms, and a variety of case studies are presented in this paper to illustrate the capabilities of the presented tool and its suitability for educational and research purposes.
Abstract: This paper describes the Power System Analysis Toolbox (PSAT), an open source Matlab and GNU/Octave-based software package for analysis and design of small to medium size electric power systems. PSAT includes power flow, continuation power flow, optimal power flow, small-signal stability analysis, and time-domain simulation, as well as several static and dynamic models, including nonconventional loads, synchronous and asynchronous machines, regulators, and FACTS. PSAT is also provided with a complete set of user-friendly graphical interfaces and a Simulink-based editor of one-line network diagrams. Basic features, algorithms, and a variety of case studies are presented in this paper to illustrate the capabilities of the presented tool and its suitability for educational and research purposes.

890 citations


"MATPOWER: Steady-State Operations, ..." refers background or methods in this paper

  • ...This at least partially explains the lack of a graphical user interface used by some related tools such as PSAT [5]....

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  • ...A nice summary of their features is presented in [5]....

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