A Novel Algorithm for Optimal Location of FACTS Devices in Power System Planning

Kheirizad, Iraj; Mohammadi, Amir; Varahram, Mohammad Hadi

doi:10.5370/jeet.2008.3.2.177

Cited by 21 publications

(9 citation statements)

References 2 publications

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“…Tables 3 and 4 manifest the operating cost for each operation state before and after installing FD at 100% and 75% load levels, respectively. Outages of lines (2-5), (5)(6) and (13)(14) cannot be counterbalanced by re-setting of FD. Consequently, operating cost during those contingencies with FD is higher than the base case.…”

Section: Ieee 14-bus System Case Studymentioning

confidence: 99%

“…Social welfare improvement during load level 75% is less significant than that during load level 100%, but load shedding can be avoided for all contingency states. Generally, installing FACTS increases the delivered load and improves system security [5]- [10]. Generally, installing FACTS increases the delivered load and improves system security.…”

Section: Ieee 14-bus System Case Studymentioning

confidence: 99%

“…Compensation by FACTS enhances the real power handling capacity of a line at a much lower cost than building a second TL of the same capacity. FDs accomplish smooth control of power over a wide range to support the TL [5]. FDs have to be located and sized properly to be effective [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Allocation of FACTS Devices in Restructured Power Systems Integrated Wind Generation

Eladl¹,

Elmitwally²,

Eskander³

et al. 2020

Bulletin of the Faculty of Engineering. Mansoura University

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Section: Ieee 14-bus System Case Studymentioning

confidence: 99%

Section: Ieee 14-bus System Case Studymentioning

confidence: 99%

See 1 more Smart Citation

Optimal Allocation of FACTS Devices in Restructured Power Systems Integrated Wind Generation

Eladl¹,

Elmitwally²,

Eskander³

et al. 2020

Bulletin of the Faculty of Engineering. Mansoura University

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“…To place a single FACTS device in the system, bio-inspired techniques like GA [14], PSO [15], simulated annealing [16], firefly [17] and ABC [18] have been used. Hybrid algorithms and analytical methods like PSO-GA [19], bacterial foraging-Nelder Mead [20] and e-constraint approach with non-linear programming [21] are also employed to improve the power quality.…”

Section: Engineering Design Problemmentioning

confidence: 99%

Deterministic oscillatory search: a new meta-heuristic optimization algorithm

Archana

Vidhyapriya

Benedict³

et al. 2017

Sādhanā

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The paper proposes a new optimization algorithm that is extremely robust in solving mathematical and engineering problems. The algorithm combines the deterministic nature of classical methods of optimization and global converging characteristics of meta-heuristic algorithms. Common traits of nature-inspired algorithms like randomness and tuning parameters (other than population size) are eliminated. The proposed algorithm is tested with mathematical benchmark functions and compared to other popular optimization algorithms. The results show that the proposed algorithm is superior in terms of robustness and problem solving capabilities to other algorithms. The paradigm is also applied to an engineering problem to prove its practicality. It is applied to find the optimal location of multi-type FACTS devices in a power system and tested in the IEEE 39 bus system and UPSEB 75 bus system. Results show better performance over other standard algorithms in terms of voltage stability, real power loss and sizing and cost of FACTS devices.

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“…Compensation by FD enhances the real power handling capacity of a TL [5]. FD should be located and sized properly to be effective [3].…”

Section: Introductionmentioning

confidence: 99%

Long‐term economic model for allocation of FACTS devices in restructured power systems integrating wind generation

Elmitwally

Eladl

Morrow

2016

IET Generation, Transmission & Distribution

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Abstract-This paper proposes an approach to optimally allocate multiple types of flexible AC transmission system (FACTS) devices in market-based power systems with wind generation. The main objective is to maximize profit by minimizing device investment cost, and the system's operating cost considering both normal conditions and possible contingencies. The proposed method accurately evaluates the long-term costs and benefits gained by FACTS devices installation to solve a large-scale optimization problem. The objective implies maximizing social welfare as well as minimizing compensations paid for generation rescheduling and load shedding. Many technical operation constraints and uncertainties are included in problem formulation. The overall problem is solved using both Particle Swarm Optimizations (PSO) for attaining optimal FACTS devices allocation as main problem and optimal power flow as sub optimization problem. The effectiveness of the proposed approach is demonstrated on modified IEEE 14-bus test system and IEEE 118-bus test system.

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A Novel Algorithm for Optimal Location of FACTS Devices in Power System Planning

Cited by 21 publications

References 2 publications

Optimal Allocation of FACTS Devices in Restructured Power Systems Integrated Wind Generation

Optimal Allocation of FACTS Devices in Restructured Power Systems Integrated Wind Generation

Deterministic oscillatory search: a new meta-heuristic optimization algorithm

Long‐term economic model for allocation of FACTS devices in restructured power systems integrating wind generation

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