Combined optimal location of FACTS controllers and loadability enhancement in competitive electricity markets using MILP

Sharma, Ashwani Kumar; Chanana, Saurabh; Parida, S. K.

doi:10.1109/pes.2005.1489247

Cited by 32 publications

(17 citation statements)

References 11 publications

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“…In the literature, two classes of classical optimization methodologies have been applied to this problem: (i) Mixed Integer Linear Programming (MILP) [2]- [4] and (ii) Mixed Integer Non-Linear Programming (MINLP) [5]- [7].…”

Section: A Classical Optimization Techniquesmentioning

confidence: 99%

“…Thus, this approach can be only used together with DC power flow only. The main algorithms for solving the MILP problem are Bender's Decomposition [2], Branch and Bound (B&B), and Gomory cuts [3], [4]. On the other hand, the MINLP formulation allows for the use of a non-linear objective function and constraints, thus, AC power flow can be used in this case.…”

Section: A Classical Optimization Techniquesmentioning

confidence: 99%

“…For this particular problem, the objective function is defined as in (4). The branching strategy corresponds to the "depth-first search": for each subset of feasible locations, branching is performed by dividing progressively the STATCOM size intervals into smaller sub-intervals.…”

Section: B Branch and Boundmentioning

confidence: 99%

See 2 more Smart Citations

Comparison of Enhanced-PSO and Classical Optimization Methods: A Case Study for STATCOM Placement

Valle

Harley

Venayagamoorthy

2009

2009 15th International Conference on Intelligent System Applications to Power Systems

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This paper validates the effectiveness of an enhanced particle swarm optimizer (Enhanced-PSO) method in solving the problem of optimal allocation of FACTS devices in a power system. The performance of the Enhanced-PSO method is compared with classical optimization approaches using a simple but realistic case study of optimal allocation of STATCOM devices, considering steady state and economic criteria. This paper also discusses the concepts and details about the optimization process that tend to be overlooked in the literature since the selection of an optimization algorithm highly depends on them.

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Section: A Classical Optimization Techniquesmentioning

confidence: 99%

Section: A Classical Optimization Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Enhanced-PSO and Classical Optimization Methods: A Case Study for STATCOM Placement

Valle

Harley

Venayagamoorthy

2009

2009 15th International Conference on Intelligent System Applications to Power Systems

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“…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]. Although classical optimization approaches have excellent convergence characteristics, they are not flexible and especially, handling constraints in them is hard work.…”

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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“…Various applications of phase shifters have been proposed in literature [6], [7], [8]. In order to determine their optimal set points, the authors have used the injection model to describe phase shifters.…”

Section: Introductionmentioning

confidence: 99%

A graph-theoretic approach to modeling network effects of phase shifters on active power loop flows

Cvijić

Cvetković

Ilić

2012

2012 North American Power Symposium (NAPS)

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This paper proposes a new method for modeling effects of phase shifters in "DC" electric power networks. The new model, based on the diakoptics algorithm, provides intuitive graph-theoretic insights on how phase shifters affect real power line flows. The effect of a phase shifter is modeled with loop flows in every basic loop of a meshed graph representing an electric power system. The model can be used to analyze the active power line flows as the superposition of the loop flows caused by a phase shifter and the loop flows created by power injections. Compared to the conventional distribution matrix-based approach, this method provides a straightforward interpretation of power flow redistribution by means of phase shifters. The new modeling technique is illustrated on an example along with a potential application for loop flow reduction.

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Combined optimal location of FACTS controllers and loadability enhancement in competitive electricity markets using MILP

Cited by 32 publications

References 11 publications

Comparison of Enhanced-PSO and Classical Optimization Methods: A Case Study for STATCOM Placement

Comparison of Enhanced-PSO and Classical Optimization Methods: A Case Study for STATCOM Placement

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

A graph-theoretic approach to modeling network effects of phase shifters on active power loop flows

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