Optimum Network Reconfiguration to Improve Power Quality and Reliability in Distribution System

Bashardoust, Arash; Farrokhifar, Meisam; Fard, Amin Y.; Safari, Amin; Mokhtarpour, Ehsan

doi:10.14257/ijgdc.2016.9.4.10

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…Regarding the potential of integration by determining CC, the optimal co-scheduling of IPGS should be defined in a stochastic framework. In this regard, different scenarios are produced for uncertain variables such as yðtÞ, sðtÞ and LPðtÞ according to (5). In order to reduce the complexity of the problem and solving time, it is necessary to reduce the number of scenarios into a simpler set with characteristics close to the original scenarios.…”

Section: Solution Methodologymentioning

confidence: 99%

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A series multi-step approach for operation Co-optimization of integrated power and natural gas systems

Faridpak

Farrokhifar

Murzakhanov

et al. 2020

Energy

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Power to gas units and gas turbines have provided considerable opportunities for bidirectional interdependency between electric power and natural gas infrastructures. This paper proposes a series of multi-step strategy with surrogate Lagrange relaxation for operation co-optimization of an integrated power and natural gas system. At first, the value of coordination capacity is considered as a contract to avoid dysfunction in each system. Then, the uncertainties and risks analysis associated with wind speed, solar radiation, and load fluctuation are implemented by generating stochastic scenarios. Finally, before employing surrogate Lagrange relaxation, the non-linear and non-convex gas flow constraint is linearized by two-dimension piecewise linearization. In the proposed procedure, constraints for energy storages and renewable energy sources are included. Two case studies are employed to verify the effectiveness of the proposed method. The surrogate Lagrange relaxation approach with coordination branch & cut method enhances the accuracy of convergence and can effectively reduce the decisionmaking time.

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Section: Solution Methodologymentioning

confidence: 99%

“…There are different aims in optimization problems related to electricity and energy systems. In this context, an optimization framework was proposed based on an evolutionary algorithm for improving the reliability of the system [5]. The authors in Ref.…”

Section: Introductionmentioning

confidence: 99%

A series multi-step approach for operation Co-optimization of integrated power and natural gas systems

Faridpak

Farrokhifar

Murzakhanov

et al. 2020

Energy

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“…Nowadays, the activities related to the flexible 1 and cost‐efficient operation 2 of power systems are of high importance for the system's operators. One of the challenging issues in these systems is keeping the power quality within a convenient range 3 . The old infrastructures in power systems and limitations in investment for building new lines and power plants, besides intense growth in electrical energy demands, have caused the transmission networks' operation within their maximum limits, which may affect the system quality and appearance of congestion issues resulting in high congestion costs.…”

Section: Introductionmentioning

confidence: 99%

Profit‐based evaluation of optimal FACTS devices planning for the large consumers and TRANSCO considering uncertainty

Aghdam

Ghaemi

Safari

et al. 2021

Int Trans Electr Energ Syst

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Summary This paper seeks to address the impact of optimal FACTS devices planning on the obtained profit of Transmission Company (TRANSCO) and large consumers. An economic investigation is done to verify how the investment cost of FACTS devices can be compensated using the obtained benefits of TRANSCO and large consumers. It is shown that the gained benefit by the consumers might be considered as an effective policy for the participation of the demand side in the FACTS devices' investment costs. Additionally, in this paper, a new hybrid approach, consisting of both mathematical and heuristic methods for solving the problem, is presented. The mentioned algorithm is a combination of the hunting search (HuS) algorithm as a heuristic algorithm and non‐linear programming (NLP) as a mathematical approach. Also, the stochastic natures of renewable energy sources and load variations have been considered. For modeling the stochastic parameters, two points estimation method has been employed. Also, the spatial correlation among uncertain parameters has been considered. Finally, the proposed approach has been tested on a modified IEEE 57‐bus and IEEE 118‐bus power systems to confirm its efficiency and capability. The results indicate that by this methodology and procedure for the planning of FACTS, there is a reduction of 4.6474 × 105$ in payment of large consumers in 57‐bus system and 3.8089 × 108$ in 118‐bus system. Also, the respected values of power loss reduction cost of 57‐bus and 118‐bus test systems are 2.6246 × 105$ and 2.8250 × 107$.

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Stochastic economic analysis of FACTS devices on contingent transmission networks using hybrid biogeography-based optimization

et al. 2019

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Optimum Network Reconfiguration to Improve Power Quality and Reliability in Distribution System

Cited by 8 publications

References 13 publications

A series multi-step approach for operation Co-optimization of integrated power and natural gas systems

A series multi-step approach for operation Co-optimization of integrated power and natural gas systems

Profit‐based evaluation of optimal FACTS devices planning for the large consumers and TRANSCO considering uncertainty

Stochastic economic analysis of FACTS devices on contingent transmission networks using hybrid biogeography-based optimization

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