Development of a new algorithm for power flow analysis

Mallick, Sourav; Rajan, D. V.; Thakur, Siddhartha Sankar; Acharjee, Parimal; Ghoshal, Sakti Prasad

doi:10.1016/j.ijepes.2011.06.030

Cited by 31 publications

(17 citation statements)

References 21 publications

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“…A bus switching mechanism must be applied whenever a reactive power limit violation is detected [26]. Assume a natural number 1, 2, 3 represents the slack, the generator, and the load buses respectively, Q i,min , Q i,max , and Q i,cal represents the minimum, the maximum reactive power limit and the calculated reactive powers respectively.…”

Section: Generator Bus Power Limitmentioning

confidence: 99%

Load Flow Analysis of a Power System Network in the Presence of Uncertainty using Complex Affine Arithmetic

Abebe¹,

Rao²,

Nak³

2017

IJEM

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The depletion of fossil fuel is driving the world towards the application of renewable energy sources. However, their intermittent nature, in addition to load variation and transmission line sag-tension change due to temperature, is a great deal of problems for reliable power delivery. Without a reliable power delivery, power generation is just a waste of resources. A reliable power delivery can be achieved when the best and the worst case steady state information of a power system network is known to plan and control accordingly. If a system is affected by the presence of uncertainty, a deterministic load flow analysis fails to provide the worst-case load flow result in a single analysis. As a result, a load flow analysis considering the presence of uncertainty is mandatory. On this paper, a novel complex affine arithmetic (AA) based load flow analysis in the presence of generation and load uncertainties is proposed. The proposed approach is tested on an IEEE bus systems and compared with Monte Carlo approach. The proposed approach convergence faster than the Monte Carlo based method and it is slightly conservative.

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Section: Generator Bus Power Limitmentioning

confidence: 99%

Load Flow Analysis of a Power System Network in the Presence of Uncertainty using Complex Affine Arithmetic

Abebe¹,

Rao²,

Nak³

2017

IJEM

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“…The true values of active and reactive powers are evaluated by successive load flows. For ill-conditioned systems, the method of Incremental power flow [24] has been used for obvious reasons. The simulated measurements are obtained by adding a normally distributed error function with zero mean and a standard deviation of 2% of the true values.…”

Section: Simulation Detailsmentioning

confidence: 99%

Optimal Static State Estimation Using hybrid Particle Swarm-Differential Evolution Based Optimization

Mallick¹,

Ghoshal²,

Acharjee

et al. 2013

EPE

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In this paper, swarm optimization hybridized with differential evolution (PSO-DE) technique is proposed to solve static state estimation (SE) problem as a minimization problem. The proposed hybrid method is tested on IEEE 5-bus, 14-bus, 30-bus, 57-bus and 118-bus standard test systems along with 11-bus and 13-bus ill-conditioned test systems under different simulated conditions and the results are compared with the same, obtained using standard weighted least square state estimation (WLS-SE) technique and general particle swarm optimization (GPSO) based technique. The performance of the proposed optimization technique for SE, in terms of minimum value of the objective function and standard deviations of minimum values obtained in 100 runs, is found better as compared to the GPSO based technique. The statistical error analysis also shows the superiority of the proposed PSO-DE based technique over the other two techniques.

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“…Ref. [17] employs Taylor's expansion to power flow analysis and developed an incremental power flow algorithm. Ref.…”

Section: Variation Pattern Of System Statusesmentioning

confidence: 99%

Prediction of critical load levels for AC optimal power flow dispatch model

Bo¹,

Tomsovic

2012

International Journal of Electrical Power & Energy Systems

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Development of a new algorithm for power flow analysis

Cited by 31 publications

References 21 publications

Load Flow Analysis of a Power System Network in the Presence of Uncertainty using Complex Affine Arithmetic

Load Flow Analysis of a Power System Network in the Presence of Uncertainty using Complex Affine Arithmetic

Optimal Static State Estimation Using hybrid Particle Swarm-Differential Evolution Based Optimization

Prediction of critical load levels for AC optimal power flow dispatch model

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