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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.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a market-based solution for managing reactive services by transmission operators is presented, which obligates the generators to provide reactive services in proportion to their active power output, optimizing and integrating reactive procurement with market operation for least-cost solution.
Abstract: The management of reactive resources, in particular the generation facilities under control of transmission operators, plays an important role in maintaining voltage stability and system reliability. The current practice of reactive management relies on heuristics and operators' judgments to procure reactive services. Consequently, it lacks a transparent market process and assurance that the procurement costs are the lowest. This paper presents a practical, market-based solution for managing reactive services by transmission operators. Three distinct features for the proposed solution are: (1) obligating generation facilities to provide reactive services in proportion to their active power output; (2) optimizing and integrating the reactive procurement with market operation for least-cost solution; and (3) taking into account the interactions of active and reactive powers for accurate calculation of the lost opportunity costs of generators. The proposed solution further simplifies the modeling and settlement aspects of reactive management. A model process of reactive power management is presented for use by independent transmission operators. A numerical example is also given to illustrate the application of the proposed solution.

97 citations

Patent
28 Aug 2007
TL;DR: In this paper, a method of power system dispatch control is proposed to solve power system dispatching problems by integrating a larger variety of generation, load and storage assets, including without limitation, combined heat and power (CHP) units, renewable generation with forecasting, controllable loads, electric, thermal and water energy storage.
Abstract: A method of power system dispatch control solves power system dispatch problems by integrating a larger variety of generation, load and storage assets, including without limitation, combined heat and power (CHP) units, renewable generation with forecasting, controllable loads, electric, thermal and water energy storage The method employs a predictive algorithm to dynamically schedule different assets in order to achieve global optimization and maintain the system normal operation

97 citations

Patent
10 Jun 2010
TL;DR: In this article, the authors present a power factor controller that allows for greater design flexibility, reduced design complexity, and reduced resolution and greater tolerance for error in certain parameter measurements useful in power factor correction and/or control.
Abstract: Circuits, systems, methods and software for controlling a power conversion and/or correcting and/or controlling a power factor in such conversion(s). The present invention generally takes a computational approach to reducing or minimizing zero current periods in the critical mode of power converter operation, and advantageously reduces zero current periods in the critical mode of power converter operation, thereby maximizing the power factor of the power converter in the critical mode and reducing noise that may be injected back into AC power lines. The present power factor controller allows for greater design flexibility, reduced design complexity, and reduced resolution and greater tolerance for error in certain parameter measurements useful in power factor correction and/or control.

96 citations

Journal ArticleDOI
TL;DR: In this paper, a planning framework is proposed to find the minimum storage sizes (power and energy) at multiple locations in distribution networks to reduce curtailment from renewable distributed generation (DG), specifically wind farms, while managing congestion and voltages.
Abstract: This paper presents a planning framework to find the minimum storage sizes (power and energy) at multiple locations in distribution networks to reduce curtailment from renewable distributed generation (DG), specifically wind farms, while managing congestion and voltages. A two-stage iterative process is adopted in this framework. The first stage uses a multi-period AC optimal power flow (OPF) across the studied horizon to obtain initial storage sizes considering hourly wind and load profiles. The second stage adopts a high granularity minute-by-minute control driven by a mono-period bi-level AC OPF to tune the first-stage storage sizes according to the actual curtailment. Congestion and voltages are managed through the optimal control of storage (active and reactive power), on-load tap changers (OLTCs), DG power factor, and DG curtailment as last resort. The proposed storage planning framework is applied to a real 33-kV network from the North West of England over one week. The results highlight that by embedding high granularity control aspects into planning, it is possible to more accurately size storage facilities. Moreover, intelligent management of further flexibility (i.e., OLTCs, storage, and DG power factor control) can lead to much smaller storage capacities. This, however, depends on the required level of curtailment.

96 citations

Journal ArticleDOI
TL;DR: In this paper, a service restoration algorithm for large-scale, radial distribution networks is presented, where the service restoration problem is formulated as a constrained multiple-objective optimization problem and a solution algorithm designed to consider networks with predominately manual switches is developed which utilizes information calculated from three-phase power flow analysis to restore as much priority and total load as possible.
Abstract: A fast and effective service restoration algorithm allowing multi-tier or system-wide switching and capacitor control actions is developed for large-scale, radial distribution networks. The service restoration problem is formulated as a constrained multiple-objective optimization problem. A solution algorithm designed to consider networks with predominately manual switches is developed which utilizes information calculated from three-phase power flow analysis to restore as much priority and total load as possible while requiring a minimal number of control actions and amount of geographic travel distance. Simulation results are presented for a 399 bus distribution network and compared to the service restoration algorithm which avoided multi-tier switching.

95 citations


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