An integrated technico-economical methodology for solving reactive power compensation problem

Yehia, M.; Ramadan, R.; El-Tawail, Z.; Tarhini, K.

doi:10.1109/59.651613

Cited by 13 publications

(3 citation statements)

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“…Based on the Newton's method, a study [82] proposed an approach for the optimization of reactive power dispatch. Reference [83] proposed an LP-based trade-off method to solve the reactive power compensation problem, taking into account both technical and economic aspects. Reference [41] incorporated the costs of adjusting control devices into a reactive power flow optimization problem while minimizing energy losses.…”

Section: X(t) = G(x(t) U(t) L(t) Y(t)) X(tmentioning

confidence: 99%

A Survey of Real-Time Optimal Power Flow

et al. 2018

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There has been a strong increase of penetration of renewable energies into power systems. However, the renewables pose new challenges for the operation of the networks. Particularly, wind power is intermittently fluctuating, and, therefore, the network operator has to fast update the operations correspondingly. This task should be performed by an online optimization. Therefore, real-time optimal power flow (RT-OPF) has become an attractive topic in recent years. This paper presents an overview of recent studies on RT-OPF under wind energy penetration, offering a critical review of the major advancements in RT-OPF. It describes the challenges in the realization of the RT-OPF and presents available approaches to address these challenges. The paper focuses on a number of topics which are reviewed in chronological order of appearance: offline energy management systems (EMSs) (deterministic and stochastic approaches) and real-time EMSs (constraint satisfaction-based and OPF-based methods). The particular challenges associated with the incorporation of battery storage systems in the networks are explored, and it is concluded that the current research on RT-OPF is not sufficient, and new solution approaches are needed.Energies 2018, 11, 3142 2 of 20 time. However, the incorporation of BSSs into the network leads to dynamic state operations and thus introduces dynamic model equations to the OPF, which makes the problem more complex to solve. This complexity is due to the fact that the dynamic optimization is described by differential/difference equations, whereas static optimization requires only algebraic equations [30].Another issue is that the REG rate is uncertain. It means their output cannot be forecasted accurately, and there may be discrepancies between the forecasted and actually realized values. The uncertainties can lead to constraint violations and thus safety problems if they are not handled properly. Therefore, deterministic OPF methods are not suitable for the real operation of the networks, or their solutions need further modifications before realization. Besides, owing to fast fluctuating REG, in particular wind power, the network operators need to fast update-i.e., in real-time-the operation strategies correspondingly, in order for the network to operate economically and in its feasible region. Therefore, the real-time energy management systems (RT-EMSs) have attracted increasing interest from many researchers. In this paper, we classify the RT-EMSs into two main categories: (1) constraint satisfaction-based RT-EMSs, and (2) OPF-based RT-EMSs. The former can satisfy the technical constraints of the network in real time, but the solutions may not be optimal. The latter provides optimal solutions in real time while satisfying the constraints. It is noted that the technical constraints could be different for these two categories, depending on the components of the network (details can be seen in Section 2).The remainder of the paper is organized as follows: Section 2 provides the general formulation of OPF...

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Section: X(t) = G(x(t) U(t) L(t) Y(t)) X(tmentioning

confidence: 99%

A Survey of Real-Time Optimal Power Flow

et al. 2018

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“…The technical benefits effecting from the reactive power compensation are [1,6,11,12,13,14,15]: The economic benefits of reactive power compensation are [11,16]:…”

Section: Introductionmentioning

confidence: 99%

Multi-servers system with Firebird database for automatic reactive power compensation

Hyla¹

2018

ELECTROTECHNICAL REVIEW

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The paper presents the concept, implementation and operational effects of the multi-servers automatic reactive power compensation system in 6 kV industry electrical power grid. As controlled reactive power compensators were used synchronous motors, capacitors' banks and passive filters of higher harmonics available in the power grid of the plant. System of communication and collaboration of control servers with databases was disclosed. Use of events technology of Firebird database was discussed. Clients' application for industry grid state and compensation system monitoring were presented. Results of operation and planned modernization of the system was presented.Streszczenie. W artykule przedstawiono koncepcję, realizację praktyczną oraz efekty działania wieloserwerowego systemu automatycznej kompensacji mocy biernej w przemysłowej sieci elektroenergetycznej 6 kV. Jako kompensatory mocy biernej wykorzystane zostały silniki synchroniczne, baterie kondensatorów i pasywne filtry wyższych harmonicznych pracujące w zakładzie. Przedstawiono system informatyczny i współpracę z bazą danych. Omówiono wykorzystanie technologii zdarzeń bazy danych Firebird w prezentowany rozwiązaniu. Przedstawiono oprogramowanie klienckie wykorzystywane do monitorowania pracy systemu i stanu sieci elektroenergetycznej. Przedstawiono przykładowe efekty działania oraz propozycje dalszych prac związanych z modernizacją systemu. (Wieloserwerowy system automatycznej kompensacji mocy biernej z bazą danych Firebird)

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“…Yehia et al [11] proposed an LP trade-off methodology as a decision support tool for an optimal distribution based on the full integration of both technical and economic aspects of the problem. A modified simplex method is adopted to solve the LP problem.…”

Section: B Linear Programming (Lp)mentioning

confidence: 99%

Survey of reactive power planning methods

Zhang

Tolbert

IEEE Power Engineering Society General Meeting, 2005

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⎯ Reactive power planning (RPP) involves optimal allocation and determination of the types and sizes of the installed capacitors. Traditionally, the locations for placing new VAr sources were either simply estimated or directly assumed. Essentially, it is a large-scale nonlinear optimization problem with a large number of variables and uncertain parameters. There are no known ways to solve such Nonlinear Programming Problems (NLP) exactly in a reasonable time. This paper introduces mathematical formulations and the advantages and disadvantages of nine categories of methods, which are divided into two groups, conventional and advanced optimization methods. The first group of methods is often trapped by a local optimal solution; the second one can guarantee the global optimum but needs more computing time. The corresponding development history period is also split into a conventional period and an artificial intelligence period. In the second period, there is a tendency to integrate several approaches to solve the RPP problem.Index Termsreactive power planning, reactive power optimization, optimal power flow M _______________________ W. Zhang and L. M. Tolbert are with the He is an adjunct participant at the Oak Ridge National Laboratory. He does research in the areas of electric power conversion for distributed energy sources, reactive power compensation, multilevel converters, hybrid electric vehicles, and application of SiC power electronics.

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An integrated technico-economical methodology for solving reactive power compensation problem

Cited by 13 publications

References 10 publications

A Survey of Real-Time Optimal Power Flow

A Survey of Real-Time Optimal Power Flow

Multi-servers system with Firebird database for automatic reactive power compensation

Survey of reactive power planning methods

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