Application of metaheuristic algorithms in DC-optimal power flow

Ajayi, Oluwafemi; Nwulu, Nnamdi; Damisa, Uyikumhe

doi:10.1080/20421338.2020.1726084

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…Matrix B bus indicates the same as B ′ in the fast-decoupled power flow, and it gives up sensitivities of lines. It is filled in an N L × N B matrix and known as PTDF which is typically indicated by H and can be formulated by N L × (N B − 1) matrix [30]:…”

Section: Ptdfs and Atc Computationmentioning

confidence: 99%

Evaluating Congestion Management of Power System considering the Demand Response Program and Distributed Generation

Zakaryaseraji

Ghasemi-Marzbali

2022

International Transactions on Electrical Energy Systems

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With increasing the energy demand, the optimal and safe operation of power systems is the main challenge for engineers. Thus, a technique for the optimal implementation of demand response programs (DRPs), installation of distributed generation (DG) with power transmission distribution factors, and DC dynamic load flow is presented in this paper. In fact, finding the optimal time execution of DRPs and the bus for installing wind units with its probabilistic effects is considered. In this model, the congestion is decreased and the available transfer capability (ATC) rates are significantly improved. According to various types of price-based DRPs, the customers motivate to change their utilization models by shifting the price of electricity at different times. Finally, the proposed model is evaluated on the well-known IEEE 39-bus New England power system. The numerical results show the efficiency of the proposed method because, after its application, the available transmissibility values in the critical buses have significantly increased. At the same time, system peak loads, total system costs, and losses are reduced, and the voltage profile also shows a significant improvement. Totally, numerical results demonstrate that using the recommended algorithm, system loss and cost decrease by 9 percent and $4472.

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Section: Ptdfs and Atc Computationmentioning

confidence: 99%

Evaluating Congestion Management of Power System considering the Demand Response Program and Distributed Generation

Zakaryaseraji

Ghasemi-Marzbali

2022

International Transactions on Electrical Energy Systems

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Solution of optimal power flow problem using sine-cosine mutation based modified Jaya algorithm: a case study

Gupta

Kumar

Srivastava

2021

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Metaheuristic Algorithms in Optimal Power Flow Analysis: A Qualitative Systematic Review

Farag¹,

Alhamad²,

Nassif³

2023

Int. J. Artif. Intell. Tools

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The optimal operation of any electrical power system is considered a crucial aspect in modern day optimization. The optimal power flow problem is widely known as an effective tool to plan the operation of these systems. However, due to the nonlinearity of variables such as generation cost and power losses, computation is difficult with conventional optimization methods. Therefore, various metaheuristic algorithms are implemented to solve the Optimal Power Flow (OPF) problem and overcome the possible drawback of conventional methods. This systematic review will explore various popular metaheuristic techniques that are employed to solve the optimal power flow problem such as Artificial Bee Colony (ABC), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA) along with various newly introduced and emerging optimization techniques. Diverse techniques were reviewed for optimizing the OPF problem, however, deployment of artificial bee colony optimization algorithm has proved its popularity due to its fast computational speed and rate of convergence as compared to the previously established algorithms based on the reported qualitative data from existing studies. Furthermore, the qualitative data analyzed presented a higher frequency of studies adopting artificial bee colony optimization algorithm, presenting accurate results in critical power system aspects such as generation cost, real power losses, and total emissions. Additionally, this research provides the pathway for future research in improving the performance of metaheuristics when applied to the optimal power flow problem.

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Application of metaheuristic algorithms in DC-optimal power flow

Cited by 4 publications

References 29 publications

Evaluating Congestion Management of Power System considering the Demand Response Program and Distributed Generation

Evaluating Congestion Management of Power System considering the Demand Response Program and Distributed Generation

Solution of optimal power flow problem using sine-cosine mutation based modified Jaya algorithm: a case study

Metaheuristic Algorithms in Optimal Power Flow Analysis: A Qualitative Systematic Review

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