Optimal Planning for the Placement of FACTS Devices by Differential Evolution Technique for the Increased Loadabilty of a Power System

Bhattacharyya, B.; Goswami, S. K.

doi:10.1109/appeec.2012.6307287

Cited by 10 publications

(12 citation statements)

References 13 publications

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“…al. [3] has implemented Differential Evolution (DE) technique to optimal planning of FACTS devices installation to increase the loadability of IEEE 30-bus system. Implementation of Evolutionary Programming (EP) has been conducted by Salim et.…”

Section: Introductionmentioning

confidence: 99%

Optimal TCSC Allocation via Chaotic Immune Symbiotic Organisms Search for Voltage Profile Improvement

et al. 2020

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As the load demand in a power system increases, power system operators struggle to maintain the power system to be operated within its acceptable limits. If no mitigation actions are taken, a power system may suffer from voltage collapse, which in turn leads to blackout. Flexible AC Transmission System (FACTS) devices can be employed to help improve the voltage profile of the power system. This paper presents the implementation of Chaotic Immune Symbiotic Organism Search (CISOS) optimization technique to solve optimal Thyristor Controlled Series Compensator (TCSC) in a power system for voltage profile improvement. Validation process are conducted on IEEE 26-bus RTS resulting in the capability of CISOS in solving the allocation problem with a better voltage profile. Comparative studies conducted with respect to Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) has revealed the superiority of CISOS over PSO and EP in solving the optimal allocation problem by producing optimal solution with a better voltage profile. The results and information obtained from this study can help power system operator in terms of optimal compensation in power system as well as improving the operation of a power system.

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Section: Introductionmentioning

confidence: 99%

Optimal TCSC Allocation via Chaotic Immune Symbiotic Organisms Search for Voltage Profile Improvement

et al. 2020

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“…Control systems that operate at steady state are segregated to two types: the first type is single agent 4,[22][23][24][25] and the second type is multi-agent. [26][27][28][29] FACTS devices are employed for OPF problems which are solved using PSO-PS. 30 Unified power flow controller (UPFC) has many advantages above all other FACTS devices, where it is composed of series and shunt compensation together, and it possesses the ability of flexible OPF control.…”

Section: Introductionmentioning

confidence: 99%

Optimal power flow solution incorporating a simplified UPFC model using lightning attachment procedure optimization

Taher¹,

Kamel

Ebeed

2019

Int Trans Electr Energ Syst

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Summary Unified power flow controller (UPFC) is utilized to regulate the bus voltage as well as the power flow through a power system. A solution of optimal power flow (OPF) problems with UPFC is a crucial and complex task due to the required modifications for considering the parameters of UPFC. This work proposes a simplified UPFC modeling into an OPF code in order to avoid the programming complexity. Moreover, the solution of an OPF problem with a UPFC model is obtained by a recent physical‐based optimization technique called lightning attachment procedure optimization (LAPO). Different objective functions including minimizing fuel cost and fuel cost with valve point effect (VPE), reduction of emission, improvement of voltage profile, and improving the voltage stability index are considered. The proposed algorithm is tested using the standard IEEE 30‐bus system. The results obtained by the proposed algorithm are compared with those obtained by other optimization techniques. However, the obtained results verify the applicability of the simplified UPFC model in OPF.

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“…The techniques for steady-state control can be categorised into two types: single-agent methods [4,[10][11][12][13] and multi-agent methods [14][15][16][17]. For the single-agent methods, an optimal power flow (OPF) model incorporating multiple FACTS using Newton algorithm has been presented [4,10].…”

Section: Introductionmentioning

confidence: 99%

Hybrid optimisation method for optimal power flow using flexible AC transmission system devices

Huang

2014

IET Generation, Transmission & Distribution

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This study proposes a hybrid optimisation method for optimal power flow using a flexible AC transmission system (FACTS). The FACTS plays an important role in the dynamic stability and steady-state control of power systems. This study achieves steady-state control by determining the types and the optimal locations of the FACTS devices and their associated values in the transmission lines. To determine the optimal solutions to the FACTS allocation problem, a hybrid optimisation method that combines a harmony search algorithm and an ant system is proposed. The objective functions of power flow considered are the active power transmission loss, the performance index of the active power flow in the transmission lines and the performance index of the voltage difference between buses. The proposed method was verified on the IEEE 30-bus and Taiwan Power Company 345 kV simplified systems. The results demonstrate that the proposed method improves the total transfer capability and provides better steady-state control of power systems than existing methods do.

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Optimal Planning for the Placement of FACTS Devices by Differential Evolution Technique for the Increased Loadabilty of a Power System

Cited by 10 publications

References 13 publications

Optimal TCSC Allocation via Chaotic Immune Symbiotic Organisms Search for Voltage Profile Improvement

Optimal TCSC Allocation via Chaotic Immune Symbiotic Organisms Search for Voltage Profile Improvement

Optimal power flow solution incorporating a simplified UPFC model using lightning attachment procedure optimization

Hybrid optimisation method for optimal power flow using flexible AC transmission system devices

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