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Power-flow study

About: Power-flow study is a research topic. Over the lifetime, 8091 publications have been published within this topic receiving 155053 citations. The topic is also known as: load-flow study.


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Journal ArticleDOI
TL;DR: Bulk-power systems are fundamentally different from other Permitting and large infrastructure systems, such as air-traffic control centers, natural gas least some re pipelines, and long-distance telephone networks as mentioned in this paper.
Abstract: Bulk-power systems are fundamentally different from other Permitting and large infrastructure systems, such as air-traffic control centers, natural-gas least some re pipelines, and long-distance telephone networks. Electric systems to face til have two unique characteristics: . . Need for continuous and near electricity pl instantaneous balancing of geneconomic, ei eration and load, consistent with transmission-network conand reliabi straints Because the transmission network is largely passive, controlling flows on individual lines is limited primarily to adjusting generation output and to opening and closing switches to add or remove transmission lines from service. Because of these two characteristics, bulk-power system operators rely primarily on changes in generation output (MW movements up or down) to keep the system in balance and comply with transmission limits. In principle, changes in electricity consumption could serve as well as generator movements in meeting these reliability requirements, but the use of customer loads for reliability purposes is the exception rather than the rule. The traditional, vertically integrated utility managed short-term reliability by dispatching its generating units as well

44 citations

Journal ArticleDOI
TL;DR: In this paper, a procedure is established for solving the Probabilistic Load Flow in an electrical power network, considering correlation between power generated by power plants, loads demanded on each bus and power injected by wind farms.
Abstract: In this paper a procedure is established for solving the Probabilistic Load Flow in an electrical power network, considering correlation between power generated by power plants, loads demanded on each bus and power injected by wind farms. The method proposed is based on the generation of correlated series of power values, which can be used in a MonteCarlo simulation, to obtain the probability density function of the power through branches of an electrical network.

44 citations

BookDOI
01 Jan 1995
TL;DR: In this article, the BCU method for direct stability analysis of electric power systems is used to model electric machines using integral manifolds and a parallel solution of linear equations by overlapping epsilon decompositions.
Abstract: Bifurcation-theoretic issues in the control of voltage collapse.- Reduced-order modeling of electric machines using integral manifolds.- The BCU method for direct stability analysis of electric power systems: theory and applications.- New algorithms for slow coherency aggregation of large power systems.- Computational complexity results in parametric robust stability analysis with power systems applications.- Damping and resonance in a high power switching circuit.- Dynamic analysis of voltage collapse in power systems.- Exact convergence of a parallel textured algorithm for constrained economic dispatch control problems.- Variable structure regulation of power plant drum level.- Analysis of mechanisms of voltage instability in electric power systems.- Structural stability in power systems.- Power system load modeling.- Parallel solutions of linear equations by overlapping epsilon decompositions.- Insects, fish and computer-based super-agents.- Application of real-time phasor measurements in power system control.- On the dynamics of differential-algebraic systems such as the balanced large electric power system.- Robust stabilization of controls in power systems.

44 citations

Journal ArticleDOI
TL;DR: The study is carried out using an innovative measurement algorithm for load flow analysis developed by the authors based on low-voltage (LV) load power measurements applied on a backward/forward algorithm for the load flow resolution.
Abstract: This paper deals with the issue of measurement device placement for load flow analysis in medium-voltage (MV) distribution networks. The study is carried out using an innovative measurement algorithm for load flow analysis developed by the authors. It is based on low-voltage (LV) load power measurements applied on a backward/forward algorithm for the load flow resolution. The final aim is to identify the most suitable number and placement of the LV measurement points in order to limit the uncertainty on the power flow estimation to a target value. The proposed approach is based on the uncertainty evaluation of the estimated power flows; a sensitivity analysis is performed in order to assess the uncertainty contribution of each LV power measurement to the estimated power flow upstream of each MV feeder of the distribution network. The LV measurement device placement is presented and discussed in a real case study, i.e., the distribution network of the Ustica Island.

44 citations

Journal ArticleDOI
TL;DR: In this paper, a novel algorithm for developing dynamic equivalents of large-scale power systems is presented, where generators are identified to coherent groups according to the relation factors, which represent the relative coupling degree between the generators.
Abstract: This paper presents a novel algorithm for developing dynamic equivalents of large-scale power systems. Generators are identified to the coherent groups according to the relation factors, which represent the relative coupling degree between the generators. While the groups are identified, participation numbers-which are the measure of the relative participation of the generators in the group-are obtained. All generators and controllers in the group are weighted by participation numbers and aggregated to construct a dynamic equivalent. The proposed algorithm is applied to a 272-machine Korea Electric Power Corporation's system. The results indicate the accuracy and usefulness of the algorithm.

44 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202325
202283
2021162
2020179
2019228
2018221