Artificial bee colony algorithm based optimal reactive power flow of two-terminal HVDC systems

Kılıç, Ulaş; Ayan, Kürşat

doi:10.3906/elk-1312-108

Cited by 9 publications

(3 citation statements)

References 40 publications

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“…In addition, they cause some errors in power measurement. As a result of reactive power compensation [23][24][25], the following benefits are provided in the solar PV power system:  Lower On-Grid PV system losses,  Release of system electrical capacity,  Voltage improvement,  Solar cable and switching elements used in the On-Grid PV system choosing small.…”

Section: Effect Of Solar Irradiation On the Thdi In Grid-connected Pv...mentioning

confidence: 99%

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The quality problems in low irradiance at grid connected photovoltaic systems

Adak

2022

Preprint

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Solar Photovoltaic (PV) energy is one of the main topics that have attracted the attention of researchers in recent years. The use of solar energy is increasing rapidly in the world. Although PV energy has many advantages, it has some disadvantages. Among these disadvantages, power factor (PF) and Total Harmonic Distortion (THD) issues are discussed in this article. PF and THD are dependent on the radiation values. The solar inverter output voltage and current waveform should be in sinusoidal waveform. However, the sinusoidal waveform of current and voltage lose their sinusoidal characteristics due to non-linear loads on grid-connected solar system. Harmonic components often occur in grid-connected solar PV systems. In addition, at low irradiance the amplitude of harmonic components increases, whereas the power factor of the PV system decreases. Low power factor and high amplitude of harmonics cause the efficiency of the solar system to decrease. PF and THD values were measured in a particular cloudy day for analysis. The grid-connected PV system was modeled by using Matlab /simulation program and carried out the analysis of the solar PV system. Thus, the analytical expression of the PF and THDI dependent on irradiation were found with a new method by using statistical package for the social sciences (SPSS) program and curve fitting method.

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Section: Effect Of Solar Irradiation On the Thdi In Grid-connected Pv...mentioning

confidence: 99%

“…This causes cable and protection devices to be selected highdimensioned. As a result, it causes additional costs in the system facility [24][25][26].…”

Section: Effect Of Solar Irradiation On the Thdi In Grid-connected Pv...mentioning

confidence: 99%

The quality problems in low irradiance at grid connected photovoltaic systems

Adak

2022

Preprint

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“…Heuristic optimization methods do not guarantee global optimum solutions, but they provide satisfactory solutions in a reasonable time for complex and high-dimensional optimization problems. They have been applied to various optimization problems such as unit commitment, economic emission dispatch, and reactive power control [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Dynamic security enhancement of power systems using mean-variance mapping optimization

Kucuktezcan¹,

Genç²

2017

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, a preventive control action that involves both generation rescheduling and load curtailment is proposed for enhancing the dynamic security of large interconnected power systems. The control action is formulated as a security-constrained optimization problem that is solved by mean-variance mapping optimization (MVMO) integrated with a self-adaptive penalization technique and artificial neural networks to develop a fast and effective methodology.The proposed methodology is applied to a 16-generator 68-bus test system to solve the security-constrained optimization problem with both continuous and discrete decision variables. To find a proper and cost-effective solution for the control actions within an acceptable time, dynamic security assessment methodology based on artificial neural networks is integrated into the optimization process for predicting the violations of security constraints brought about by the candidate solutions. The proposed method effectively integrates a variety of popular heuristic optimization algorithms, including MVMO, differential evolution, particle swarm optimization, genetic algorithms, big bang-big crunch, and artificial bee colony. MVMO outperforms all the others in various aspects such as reliability and robustness.

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