Enhancing Total Transfer Capability via Optimal Location of TCSC in Deregulated Electricity Market

Duong, Thanh Long; Yao, Jingjing; T., Nguyen, L. A.; Guo, Zaoyang

doi:10.1007/978-3-642-41968-3_6

Cited by 4 publications

(5 citation statements)

References 13 publications

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“…Các nghiên cứu cũng cho thấy, dù trong điều kiện nào thì khối lượng tính toán của các giải thuật là không nhỏ, và khi áp dụng trên các hệ thống điện lớn thì thời gian một lần tính toán có thể tính bằng ngày trở lên. Từ những năm đầu 2000s, giải thuật MFMC được một số nghiên cứu sử dụng trong hệ thống điện để xác định điểm tắc nghẽn trong hệ thống điện 13 , hoặc tìm vị trí đặt thiết bị điều khiển công suất phản kháng tối ưu 5,13 , cũng như nghiên cứu các ràng buộc, độ tin cậy trong quy hoạch mở rộng hệ thống truyền tải điện 14,15 . Ưu điểm của giải thuật MFMC là đơn giản và đặc biệt là tính toán khá nhanh so với các thuật toán tối ưu đã nêu nên được nhiều nhà nghiên cứu quan tâm.…”

Section: Giải Thuật Mfmcunclassified

Determine the location and capacity of energy storage in the power system using the improved Min-Cut algorithm

Sang

Long

Anh

et al. 2020

Sci. Tech. Dev. J.- Eng. Tech.

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This paper aims to exhibit of optimal location and capacity of energy storage (ES) in electricity development planning, including transmission expansion planning (TEP) and generation expansion planning (GEP). Renewable energy sources are being developed in the world in order to replace the increasingly exhausting and polluting fossil energy sources. However, the energy generation of these types cannot be intentionally controlled but depends on natural conditions. To support the defects that renewable energy causes, energy storage systems have been studied and applied. Developing energy storage to charge cheap energy and provide higher prices in the electricity market is one of the issues that have being attention recently. Although choosing the proper location to place is a great challenge. A number of algorithms have been researched for a long time to find suitable locations for GEP; heuristic algorithms have been used in recent years because of their flexibility and wide range. The heuristic approaches, although being varied over time to become more and more effective search engines, but the problem is withheld into local extremes during searching, the number of too many loops when applied to large network systems... are still being researched and overcome by scientists for heuristic algorithms. On the other hand, the Max-Flow-Min-Cut (MFMC) algorithm has been applied to determine thyristor controlled series compensation (TCSC) to manage congestion that also has been of interest to many researchers but it has some limitations. The MFMC algorithm will be improved more effectively to eliminate congestion collaborate with a heuristic in the paper, and the simulation results tested to determine the position and power of ES on the 24 bus IEEE system showed the algorithm's feasibility.

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Section: Giải Thuật Mfmcunclassified

Determine the location and capacity of energy storage in the power system using the improved Min-Cut algorithm

Sang

Long

Anh

et al. 2020

Sci. Tech. Dev. J.- Eng. Tech.

View full text Add to dashboard Cite

show abstract

“…The variation of the line's flow due to series capacitance can be represented as a line without a series capacitance with flowing power at the injecting and receiving terminals of the line, as shown in ) can be obtained by (11) to (14) [26][27][28]:…”

Section: Modeling and Formulation Of Tcsc In Optimal Load Flow Equations 21 Static Modeling Of Tcscmentioning

confidence: 99%

“…In [13], a new method for the TCSC locating is presented in order to absorb the maximum transmittable power by the loads through the network's branches. In [14], the authors have focused on the transmission cost and improving it by installing the TCSC. In [15][16], an optimization method is proposed to find the best location to install TCSC regard to maximizing the loadability of the Malaysian distribution network based on evolutionary optimization technique.…”

Section: Introductionmentioning

confidence: 99%

Optimal TCSC placement for congestion management in deregulated power systems using antlion optimization algorithm

Moazzami¹,

Shahinzadeh²,

Gharehpetian³

et al. 2019

IJRA

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Congestion management is one of the important issues in the deregulated power systems. There are several methods to eliminate congestion. Utilizing FACTS devices is an appropriate option for large-scale and quick control of flows of transmission lines. FACTS devices such as Thyristor Controlled Series Capacitor (TCSC) can help to mitigate the transmitting flow of power in the congested lines, which leads to an increase in the network loading ability as well as reduction of both losses and production costs. Due to the considerably high price of FACTS devices, it is important to determine their optimum location on the network. Accordingly, in this paper, the Antlion optimization algorithm (ALO) has been employed to conduct a congestion management analysis to determine the optimal location for the installation of TCSC, which is simulated on an IEEE 14-bus test system subject to satisfy the constraints of the market environment.

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“…Simulations results are compared with GA and GWO and show that the COA is one useful method for TCSC installation to maximize social welfare.Keywords-cuckoo optimization algorithm; FACTS; TCSC; social benefits; electricity market I.Recently, Flexible AC Transmission Systems (FACTS) [5] have also been utilized to solve the congestion problem and maximize social welfare. Many studies have been proposed for the improvement of existing power networks via optimal location of FACTS [6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Interior point method was used for system expansion with UPFC to maximize social welfare and…”

mentioning

confidence: 99%

“…Recently, Flexible AC Transmission Systems (FACTS) [5] have also been utilized to solve the congestion problem and maximize social welfare. Many studies have been proposed for the improvement of existing power networks via optimal location of FACTS [6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Interior point method was used for system expansion with UPFC to maximize social welfare and…”

mentioning

confidence: 99%

An Effective Method for Maximizing Social Welfare in Electricity Market via Optimal TCSC Installation

Long¹,

Nguyen²,

Nguyen³

et al. 2019

Eng. Technol. Appl. Sci. Res.

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The evolving electricity market has increased power demand and has brought many social benefits. Meanwhile, the transmission systems are not developed to the same extent because building new lines is difficult for environmental and political reasons. Hence, the systems are driven close to their limits resulting in congestions and critical situations endangering the system’s security. Due to this, the study of enhancing the transfer capability of existing power networks to satisfy the increased power demand, maximum social welfare, and ensure its secure operation has become one of the challenges the Independent System Operator faces in the electricity market. In order to solve this problem without building more transmission lines, the installation of FACTS devices can be a better alternative. Among FACTS devices, thyristor-controlled series compensator (TCSC) is one that can redistribute power flow in the network to improve the transfer capability of the existing system effectively. However, it is very difficult to implement. This paper presents the implementation of the Cuckoo Optimization Algorithm (COA) to solve the OPF problem which is formulated as a nonlinear optimization problem with equality and inequality constraints in a power system for social welfare maximization via the optimal installation of TCSC devices. As Cuckoo Search Algorithm (CSA), the COA also starts with an initial population-based metaheuristic optimization inspired by the nature of brood parasitism of some cuckoo species. However, unlike CSA, COA uses the cuckoo’s style for egg-laying to optimize the local search instead of using Lévy flights. This model is tested in IEEE 14 and IEEE 30 bus systems. Simulations results are compared with GA and GWO and show that the COA is one useful method for TCSC installation to maximize social welfare.

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Enhancing Total Transfer Capability via Optimal Location of TCSC in Deregulated Electricity Market

Cited by 4 publications

References 13 publications

Determine the location and capacity of energy storage in the power system using the improved Min-Cut algorithm

Determine the location and capacity of energy storage in the power system using the improved Min-Cut algorithm

Optimal TCSC placement for congestion management in deregulated power systems using antlion optimization algorithm

An Effective Method for Maximizing Social Welfare in Electricity Market via Optimal TCSC Installation

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