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.
Citations
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TL;DR: A new probabilistic optimal power flow (POPF) framework is proposed, which can cope with such uncertainties, while taking into account the correlations among the wind generation power in multiple wind farms.
Abstract: The irregular and truncated probabilistic characteristics of wind power uncertainty lead to unknown influences on the power system operation In this article, we propose a new probabilistic optimal power flow (POPF) framework, which can cope with such uncertainties, while taking into account the correlations among the wind generation power in multiple wind farms A truncated multivariate Gaussian mixture model (Trun-MultiGMM) is designed to describe the irregular and multimodal wind power distributions with its typical truncation feature Then an efficient Markov chain quasi-Monte-Carlo (MCQMC) sampler is developed to deliver wind power samples from the customized Trun-MultiGMM Numerical simulations are conducted on the publicly available wind generation datasets and multiple benchmark power systems The results have verified the effectiveness and efficiency of Trun-MultiGMM as well as the proposed POPF framework with MCQMC sampler
34 citations
Cites methods from "MATPOWER: Steady-State Operations, ..."
...This is reasonable due to the increasing computation cost of DOPF on larger power systems, and the MC simulation in POPF....
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...The DOPF optimization problem (2) can be rewritten into an input–output form as Ψ = h(Γ) with Γ = [PW ,QW , PD ,QD ] (3) Ψ = [f, Vi, θi , Pi,Qi, Pij ] (4) where Γ and Ψ capture the input and output variables in DOPF problem, respectively....
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...Instead of calculating the traditional deterministic optimal power flow (DOPF) [20], [21], POPF treats each uncertain variable in power systems as a random variable obeying certain probabilistic distribution and aims to obtain the statistical moments of the optimal solutions....
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...The POPF problem recursively solves the DOPF problem....
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...Then the DOPF is performed recursively with the obtained samples of each variable in Γ, which, in turn, yields output samples for each variable in Ψ....
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TL;DR: In this article, a new index named CO2 allocation equity coefficient (CAEC) is introduced to quantify the equity performance of the consumption-based carbon emission accounting system, and the requirement for different equity performances can be explicitly incorporated into the TEP model as a constraint to determine its effect on TEP.
34 citations
17 Jul 2013
TL;DR: A unified framework to deal with stochastic variants of the standard unit commitment and reserve scheduling problems for systems with uncertain generation while providing a-priori probabilistic certificates for the robustness properties of the resulting solution is provided.
Abstract: The increased penetration of renewable energy sources to the network highlights the necessity of constructing stochastic variants of the standard unit commitment and reserve scheduling problems. Earlier approaches to such problems are either restricted to ad-hoc methodologies (at the expense of a suboptimal solution), or lead to computationally intractable formulations. In this paper we provide a unified framework to deal with such planning problems for systems with uncertain generation, while providing a-priori probabilistic certificates for the robustness properties of the resulting solution. Our methodology is based on a mixture of randomized and robust optimization and leads to a tractable problem formulation. To illustrate the performance of the proposed methodology we apply it to the IEEE 30-bus network, and compare it by means of Monte Carlo simulations against an algorithm based on a deterministic variant of the unit commitment problem.
34 citations
Cites methods from "MATPOWER: Steady-State Operations, ..."
...Algorithms 1 and 2 are applied to the IEEE 30-bus network [21] with a wind power generator connected to bus 22; numerical data for the reserve, start-up and production cost vectors can be found in [22], whereas Pup = Pdown = Pmax/3 and the elements of the minimum up and down time vectors (∆tup,∆tdown) corresponding to the first two generators were chosen to be 2 hours....
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TL;DR: This paper investigates a new but serious type of attack, stealthy false data attack, and demonstrates that the attackers are able to, without prior knowledge of the power grid topology, make inferences through phasor observations.
Abstract: In smart grid, the strong coupling between cyber and physical operations makes power systems vulnerable to cyber attacks. In this paper, we investigate a new but serious type of attack, stealthy false data attack. In addition, we demonstrate that the attackers are able to, without prior knowledge of the power grid topology, make inferences through phasor observations. For the attackers to achieve this ability, we show that when the change of operating conditions is relatively mild and can be approximated linearly, linear independent component analysis can be applied to estimate the Jacobian matrix multiplied by the eigenvectors of the covariance matrix of the state variables. Then, the inferred structural information is used to launch the stealthy attack. This attack is formulated to change the price of electricity in the realtime market for the benefits of attackers. As demonstrated by the simulation results using data generated by MATPOWER, the proposed scheme injects undetectable false data and changes the price of electricity at the desired locations.
34 citations
Cites methods from "MATPOWER: Steady-State Operations, ..."
...We use MATPOWER [34], a MATLAB simulation...
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...We use MATPOWER [34], a MATLAB simulation tool for solving power flow and OPF problems....
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...Using the simulated data from MATPOWER, we compare the proposed algorithm with a random attack scheme and showed that our attack methodology is undetectable and can indeed bring financial gains to the attacker....
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...Simulation studies using the data generated by MATPOWER [34] demonstrate the effectiveness of the proposed attack....
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TL;DR: This paper presents a novel unscented transform (UT)-based quasi-decentralized load frequency control scheme for power systems that can cope with noisy and discrete phasor measurement unit data.
Abstract: This paper presents a novel unscented transform (UT)-based quasi-decentralized load frequency control scheme for power systems. The designed load frequency controllers are decoupled from each other, and can cope with noisy and discrete phasor measurement unit data. The proposed UT-based scheme is applied to a complex nonlinear power system. Furthermore, the design and analysis of the proposed controllers are based on considering the entire network topology.
34 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
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
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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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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