Phase shifter placement in large-scale systems via mixed integer linear programming

Lima, F.G.M.; Galiana, F.D.; Kockar, Ivana; Muñoz, José Manuel Rodríguez

doi:10.1109/tpwrs.2003.814858

Cited by 103 publications

(63 citation statements)

References 8 publications

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“…However, number of devices to be installed was assigned before optimization and installation cost was ignored (Gerbex et al, 2001). Mixed Integer Linear Programming was used to find optimum number, locations and setting of Thyristor Control Phase Shifting Transformer (TCPST) to optimize loadability and investment with respect to dc load flow model (Lima et al, 2003). Mixed Integer Non-linear programming was used for optimal location of FACTS to maximize social welfare based on multiple time periods.…”

Section: Literature Reviewmentioning

confidence: 99%

Influence of TCSC on social welfare and spot price - A comparative study of PSO with classical method

Joshi¹,

Pandya²

2010

Int. J. Eng. Sci. Tech

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In this paper, Particle Swarm Optimization (PSO) based algorithm has been suggested to find optimal location and setting of Thyristor Controlled Series Compensator (TCSC) to maximize Social Benefit (SB), considering its installation cost in competitive electricity market. PSO has simultaneously optimized generators' active powers output, generators' bus voltages, TCSC reactance and its location. In addition, the influence of optimally located TCSC on the magnitude of real power spot price, reactive power spot price, wheeling charges and bilateral transaction matrix has been investigated. The effectiveness of the proposed approach has been tested on IEEE 6 bus system and results obtained are compared with those obtained from various classical methods.

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Section: Literature Reviewmentioning

confidence: 99%

Influence of TCSC on social welfare and spot price - A comparative study of PSO with classical method

Joshi¹,

Pandya²

2010

Int. J. Eng. Sci. Tech

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“…In [14], by applying a mixed integer optimization technique, the demand response (DR) and the TCSC and SVC controllers are optimally coordinated with the conventional generators to manage the network congestion in a restructured market environment. In [15], mixed integer linear programming (MILP) is used to the optimal allocation of thyristor controlled phase shifter transformers (TCPSTs) for maximizing power system loadability. Mixed integer linear and nonlinear programming-based optimal power flow (OPF) methods have been utilized for finding the optimal installation of FACTS to enhance system loadability [16,17].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

et al. 2017

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Abstract:Increasing demand for electricity has placed heavy stress on power system security. Therefore, this paper focuses on the problem of how to maximize power system static security in terms of branch loading and voltage level under normal operation and even the most critical single line contingency conditions. This paper proposes a hybrid approach to find out the optimal locations and settings of two classical types of flexible AC transmission system (FACTS) devices, namely thyristor-controlled series compensators (TCSCs) and static var compensators (SVCs) for solving this problem. Our proposed approach requires a two-step strategy. Firstly, the min cut algorithm (MCA) and tangent vector technique (TVT) are applied to determine the proper candidate locations of TCSC and SVC respectively so as to reduce the search scope for a solution to the problem, and then the cuckoo search algorithm (CSA) is employed to solve this problem by simultaneously optimizing the locations and settings for TCSC and SVC installation. The proposed hybrid approach has been verified on the IEEE 6-bus and modified IEEE 14-bus test systems. The results indicate that CSA outperforms particle swarm optimization (PSO), proving its effectiveness and potential, and they also show that our proposed hybrid approach can find the best locations and settings for TCSC and SVC devices as an effective way for enhancing power system static security by removing or alleviating the overloads and voltage violations under normal operation and even the most critical single line contingency conditions. Using this hybrid approach, the search space for solution to the problem becomes limited hence the computational burden will be decreased.

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“…These include the linear programming (Lima et al, 2003;Tuaimah and Meteb,2014), gradient method (Salgado et al, 2002), interior point (IP) method (Capitanescua and Wehenkel, 2013) and Newton method (Tinneyand Hart, 1967). The inequality constraints add complexity in dealing with gradient and Newton methods.…”

Section: Introductionmentioning

confidence: 99%

Security constrained optimal power flow by modern optimization tools

Salem¹,

Abdelrahman²,

Abdelaziz³

2017

Int. J. Eng. Sci. Tech

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In this paper, two approaches are studied for scheduling the power generators of the least cost. This is called security constrained optimal power flow [SCOPF]. This problem is represented as a two stage, security constrained OPF problem, in which the first stage optimizes the problem using a genetic algorithm for the purpose of comparison, while the second stage optimize the problem of each contingency using flower pollination algorithms (FPA) as a new trend. Case studies based on IEEE 30 bus system show that the discussed techniques are advantageous and can guarantee operational reliability and economy.

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Phase shifter placement in large-scale systems via mixed integer linear programming

Cited by 103 publications

References 8 publications

Influence of TCSC on social welfare and spot price - A comparative study of PSO with classical method

Influence of TCSC on social welfare and spot price - A comparative study of PSO with classical method

A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

Security constrained optimal power flow by modern optimization tools

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