Optimal power flow with UPFC using security constrained self-adaptive differential evolutionary algorithm for restructured power system

Acharjee, Parimal

doi:10.1016/j.ijepes.2015.09.025

Cited by 38 publications

(23 citation statements)

References 27 publications

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“…The salient feature of an UPFC is that it can maintain and control the bidirectional line flow in the buses between which it is connected [11,12]. Thus, any change in the line flows will affect the performance of the UPFC and vice versa, resulting in a deviation from expected consequence [13][14][15].…”

Section: Literature Surveymentioning

confidence: 99%

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Optimal line flows based on voltage profile, power loss, cost and conductor temperature using coordinated controlled UPFC

Sen

Acharjee

2019

IET Generation, Transmission & Distribution

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Section: Literature Surveymentioning

confidence: 99%

“…The UPFC installation cost (C UPFC in US$) is a function of the operating range S i j of the UPFC (in MVAR) and the cost per kVA (F UPFC i j ) [12,28]. The formulations are given below:…”

Section: Upfc Installation Costmentioning

confidence: 99%

Optimal line flows based on voltage profile, power loss, cost and conductor temperature using coordinated controlled UPFC

Sen

Acharjee

2019

IET Generation, Transmission & Distribution

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“…The series and shunt controller are used to maintain a stable operation in a power system. In the UPFC, converter related by the transformer described with impedance such as load impedance, generator side impedance, shunt impedance, and series impedance [21]. The mentioned terms are need for enabling power flow operation in the system.…”

Section: Figure 1 Mathematical Design Of Upfc Devicementioning

confidence: 99%

Security Enhancement in Power System Using FACTS Devices and Atom Search Optimization Algorithm

Amarendra¹,

Srinivas²,

Rao³

2018

EAI Endorsed Transactions on Energy Web

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In power systems, control, system operations are an important and difficult task by enhancing the power systems' security. An enhancement of the security system is done by the optimal location selection of the Flexible Alternating Current Transmission System (FACTS) devices, for instance, Unified Power Flow Controller (UPFC), Thyristor-Controlled Series Capacitor (TCSC), Interlink Power Flow Controller (IPFC), and Static VAR Compensator (SVC). Therefore, the Atom Search Algorithm (ASO) is utilized to compute the precise optimal placement of the FACTS device. FACTS devices must be in the correct location on the power system to improve system safety. The performances are evaluated by severity index, Line Overload Sensitivity Index (LOSI), voltage, voltage deviation¸, power loss, fitness function, and the fuel cost with the IEEE 30, IEEE 118, and IEEE 300 bus system. To validate the proposed methodology, it is contrasted with the conventional techniques like Dragonfly Algorithm (DA), Whale Optimization Algorithm (WOA), Jaya, Flower Pollination Algorithm (FPA), Grey Wolf Algorithm (GWA), and the Jaya Flower Pollination (JA-FPA) systems.

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“…In 2016, Abaci and Yamacli [36] presented a differential search based optimization method to solve various types of problems including complex, single, and multiobjective functions within the constraints concerning optimal power flow (OPF). In 2016, Acharjee [37] presented the self-adaptive differential evolutionary (SADE) algorithm for increasing and controlling the power flow using unified power flow controller (UPFC) under practical security constraints (SCs). In 2016, Ardeshiri Lajimi and Amraee [38] presented an artificial neural network (ANN) based transient stability constrained optimal power flow (TSCOPF) formulation by using imperialist competitive algorithm (ICA).…”

Section: Genetic Algorithmmentioning

confidence: 99%

Optimal Power Flow Techniques under Characterization of Conventional and Renewable Energy Sources: A Comprehensive Analysis

Khan

Singh

2017

Journal of Engineering

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The exhaustive knowledge of optimal power flow (OPF) methods is critical for proper system operation and planning, since OPF methods are utilized for finding the optimal state of any system under system constraint conditions, such as loss minimization, reactive power limits, thermal limits of transmission lines, and reactive power optimization. Incorporating renewable energy sources optimized the power flow of system under different constraints. This work presents a comprehensive study of optimal power flows methods with conventional and renewable energy constraints. Additionally, this work presents a progress of optimal power flow solution from its beginning to its present form. Authors classify the optimal power flow methods under different constraints condition of conventional and renewable energy sources. The current and future applications of optimal power flow programs in smart system planning, operations, sensitivity calculation, and control are presented. This study will help the engineers and researchers to optimize power flow with conventional and renewable energy sources.

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Optimal power flow with UPFC using security constrained self-adaptive differential evolutionary algorithm for restructured power system

Cited by 38 publications

References 27 publications

Optimal line flows based on voltage profile, power loss, cost and conductor temperature using coordinated controlled UPFC

Optimal line flows based on voltage profile, power loss, cost and conductor temperature using coordinated controlled UPFC

Security Enhancement in Power System Using FACTS Devices and Atom Search Optimization Algorithm

Optimal Power Flow Techniques under Characterization of Conventional and Renewable Energy Sources: A Comprehensive Analysis

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