A novel technique for congestion management in transmission system by real power flow control

Surya, R.; Janarthanan, N.; Balamurugan, S.

doi:10.1109/icicict1.2017.8342766

Cited by 14 publications

(10 citation statements)

References 11 publications

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“…Y ij and θ ij are the magnitude and phase angle of the admittance of the i-jth element of Y-bus matrix. Using the Taylor series, and ignoring the second-and higher-order terms due to their less impacts, Equations (13) and (14) can be derived as follows:…”

Section: Power Congestion Index Of Transmission Linesmentioning

confidence: 99%

“…The optimal placement of TCSC for improving power transmission efficiency and steady-state stability limits, and maintaining the voltage stability of power systems, is reported in [12]. A method to deal with congestion management by controlling the DC power flow using TCSC is also reported in [13]. In [14], a TCSC is utilized to improve transient stability and congestion management in power systems.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Placement of TCSC for Congestion Management and Power Loss Reduction Using Multi-Objective Genetic Algorithm

Nguyen

Mohammadi

2020

Sustainability

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Electricity demand has been growing due to the increase in the world population and higher energy usage per capita as compared to the past. As a result, various methods have been proposed to increase the efficiency of power systems in terms of mitigating congestion and minimizing power losses. Power grids operating limitations result in congestion that specifies the final capacity of the system, which decreases the conventional power capabilities between coverage areas. Flexible AC Transmission Systems (FACTS) can help to decrease flows in heavily loaded lines and lead to lines loadability improvements and cost reduction. In this paper, total power loss reduction and line congestion improvement are assessed by determining the optimal locations and compensation rates of Thyristor-Controlled Series Compensator (TCSC) devices using the Multi-Objective Genetic Algorithm (MOGA). The results of applying the proposed method on the IEEE 30-bus test system confirmed the efficiency of the proposed procedure. In addition, to check the performance, applicability, and effectiveness of the proposed method, different heuristic algorithms, such as the multi-objective Particle Swarm Optimization (PSO) algorithm, Differential Evolution (DE) algorithm, and Mixed-Integer Non-Linear Program (MINLP) technique, are used for comparison. The obtained results show the accuracy and fast convergence of the proposed method over the other heuristic techniques.

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Section: Power Congestion Index Of Transmission Linesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Placement of TCSC for Congestion Management and Power Loss Reduction Using Multi-Objective Genetic Algorithm

Nguyen

Mohammadi

2020

Sustainability

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“…Instead, the classical DC flow algorithm, due to its simple mathematical model, linearized equation, rapid solving speed, is widely used in quick calculation occasions, such as power system planning [1], [2], security and stability evaluation of power system [3]- [5], transaction price calculation of electricity market [6]- [9], analysis of The associate editor coordinating the review of this manuscript and approving it for publication was Jenny Mahoney. transmission capability [10], [11], operation dispatching [5], and probabilistic load flow analysis [12], etc. However, the classical DC power flow algorithm has been found to be mainly suitable for high voltage transmission networks with small branch impedance, with its calculation error usually being within 3%-10%, which is only considered acceptable for occasions with low precision requirements [13].…”

Section: Introductionmentioning

confidence: 99%

A General Fast Power Flow Algorithm for Transmission and Distribution Networks

Wang

Wu²,

et al. 2020

IEEE Access

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Fast power flow calculation is generally required in static security analysis and power system optimal planning. And the classical DC power flow algorithm, due to its simple mathematical model, linearized equation, and rapid solving speed, is widely utilized. However, the classical DC power flow algorithm has been found to be only suitable for high voltage transmission networks with small branch impedance ratio. To address this issue, a general fast power flow algorithm is proposed. Utilizing this method, the classical DC power flow algorithm is firstly performed to obtain the initial values of the branch active power flow. And the nodal voltage angles are then calculated by the established node-injected reactive power equations. Secondly, through the identical transformation and approximate treatment of the node power flow equation, a voltage offset calculation method for PQ nodes is proposed. Finally, the active power flow and active power loss can be calculated based on the corrected phase angles and node voltages. Simulation studies on standard IEEE power systems, such as the IEEE 33-bus and IEEE 118-bus systems, etc., were conducted by the presented algorithm, compared with those by the back/forward sweep, classical DC power flow and Newton-Raphson algorithms. It is indicated that, the proposed power flow algorithm has the superiority in satisfactory calculation speed and non-sensitivity on the network impedance ratio. INDEX TERMS Power flow algorithm, transmission and distribution network, high impedance ratio of branch, bus voltage amplitude deviation.

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“…The reviews of the methods are shown in [7]. Author in [8] presented a novel technique for congestion management in 5-bus network by controlling the active power flow using TCSC and author considered sensitive analysis for location of TCSC device. The author in [9] presented the rescheduling of generators to control active power with congestion management simultaneously reducing the cost of rescheduling.…”

Section: Introductionmentioning

confidence: 99%

Power Congestion Control Considering UPFC to Enhance Voltage Stability of the System

Ravindra,

Chaturvedula,

Ravindra

2020

IJEAT

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This paper proposes a new FACTS device, i.e., Unified Power Flow Controller (UPFC) to relieve power congestion on power grid network. A simple model of a three phase AC–network of 500/230kV, 5-bus network with two transformers and two power generation plants (1000MW, 500MW) is designed. UPFC is designed with IGBT converters connected in shunt- series and both interconnected with DC bus and connected to AC side with transformer and coupling reactors. A contingency case is considered such that two transformers are considered instead of three transformers. The power flow of an UPFC installed at Bus-3 in 5-bus system is analyzed to show how the congestion of power on the grid is relieved through it. A bypass circuit breaker is installed at Bus -3 in the circuit to show the natural power flow without UPFC and power flow after installation of UPFC. The topology of series converter build in UPFC can introduce maximum of 10% of line-ground voltage in series. The simulation network of the 5-bus transmission network with UPFC connected at Bus-3 is designed with MATLAB/SIMULATION Software to estimate the power flow with UPFC connected.

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A novel technique for congestion management in transmission system by real power flow control

Cited by 14 publications

References 11 publications

Optimal Placement of TCSC for Congestion Management and Power Loss Reduction Using Multi-Objective Genetic Algorithm

Optimal Placement of TCSC for Congestion Management and Power Loss Reduction Using Multi-Objective Genetic Algorithm

A General Fast Power Flow Algorithm for Transmission and Distribution Networks

Power Congestion Control Considering UPFC to Enhance Voltage Stability of the System

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