Advanced SVC models for Newton-Raphson load flow and Newton optimal power flow studies

Ambriz‐Pérez, Hugo; Acha, E.; Fuerte‐Esquivel, Claudio R.

doi:10.1109/59.852111

Cited by 224 publications

(79 citation statements)

References 7 publications

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“…From Figure 5, it is easy to see that there are a lot of buses that violate the lower voltage limit, namely, 8,14,17,35,36,43,47 and 48, which present that more than 13% of the system buses have a voltage collapse. Hence, the most voltage deviation is marked in bus 36 with 0.168 pu, which makes it the most suitable placement for the STATCOM device.…”

Section: Case 1: One Statcom Onlymentioning

confidence: 99%

“…Furthermore, the state variables describing FACTS devices and those describing the power network are combined in one single frame of reference to get a unified, iterative solution through the Newton-Raphson method [8][9][10]. The aforementioned approach mingles the alternating current (AC) network and power system controller state variables in a single system of simultaneous equations…”

Section: Building Of Jacobian Matrix Including Facts Controllersmentioning

confidence: 99%

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Enhancement of power flow using FACTS systems

Sekhane¹,

Djamel²

2017

GJCS

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In this paper, both standard IEEE test systems 57-bus and Algerian 59-bus are considered. To enhance the power flow of these two considerable networks in terms of voltage profile and reduce the real and reactive total transmission losses, the inclusion of flexible alternating current transmission systems (FACTS) devices is one of the best solutions. For this, a static synchronous compensator (STATCOM) is proposed. Our code is written in the MATLAB computing environment, based on finding the weakest buses in the network, and placing one or two STATCOMs in an appropriate place; in the next step, there would be recalculation of the power flow again. The results of power flow compared with the popular MATPOWER software environment show the exactitude of our code calculation, and the enhancement of voltage profile, especially in buses where STATCOM is placed. Furthermore, the reduction of real and reactive losses shows the effectiveness of the FACTS device proposed.

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Section: Case 1: One Statcom Onlymentioning

confidence: 99%

Section: Building Of Jacobian Matrix Including Facts Controllersmentioning

confidence: 99%

Enhancement of power flow using FACTS systems

Sekhane¹,

Djamel²

2017

GJCS

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“…The following equation gives the procedure to obtain n set of data generated from PSO. (12) From the above generated data, the minimum cost function is taken as the power generated by the generator with low cost.…”

Section: Updating Initial Particlesmentioning

confidence: 99%

Solution of Optimal Power Flow Problem Incorporating Various FACTS Devices

Easwaramoorthy¹,

Dhanasekaran²

2012

IJCA

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This research paper presents a new approach for placing the optimal location of FACTS controllers in a multi machine power system using mat lab coding. Using the proposed method, the location of FACTS controller, their type and rated values are optimized simultaneously. Among the various FACTS controllers, TCSC and UPFC are considered. OPF is one of the most important processes in power system, which improves the system performance by satisfying certain constraints.Generally, different optimization methods are used in the literature to solve the OPF problem. In some research works, the optimization process is done by considering total fuel cost or by considering the environmental pollution that occurs during power generation. But in some other research works, FACTS controllers are used to improve the power flow without considering the power generation cost.The OPF problem is one of the most extensively studied topics in the power system community. In power system operation, OPF is an extended problem of ED which considers several parameters such as generator voltage, transformer tap change, SVC, and includes constraints such as transmission line and transformer loading limits, bus voltage limit, and stability margin limit. The main function of OPF is to select the optimal operation state of a power system, in the time of meeting some particular constraints. OPF study plays a key role in the EMS, where the entire operation of the system is regulated in each possible real time intervals.

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“…OPF method has been successfully used to determine the FACTS parameters to control the power flow in the specific lines [7]. Ambriz-Perez et al [8] have solved OPF problem incorporating FACTS devices using Newton's method, leading to highly robust iterative solutions. Chung and Li [9] have presented GA to determine the parameters of FACTS devices.…”

Section: Introductionmentioning

confidence: 99%