Wind farm power plant: Optimal capacitor placement for reactive power compensation

Calderaro, Vito; Galdi, Vincenzo; Piccolo, Antonio; Conio, Gaspare; Fusco, Roberto

doi:10.1109/isgteurope.2013.6695308

Cited by 4 publications

(9 citation statements)

References 9 publications

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“…Xs is stator reactance. Considering the simplified equivalent circuit, we can compute the produced active power and the absorbed reactive power at bus j, as follows [9]:…”

Section: System Equivalent Circuitmentioning

confidence: 99%

“…In this circuit, h is the harmonic order, which is defined as the ratio of frequency under analysis and the fundamental frequency [30]. Considering the simplified equivalent circuit, we can compute the produced active power and the absorbed reactive power at bus j, as follows [9]:…”

Section: System Equivalent Circuitmentioning

confidence: 99%

“…where v wind j is the wind speed at node j, P wind j , rated is the rated value of the wind turbine at bus j, and the coefficients c1 and c2 are constants defined to minimise the approximation error [9].…”

Section: System Equivalent Circuitmentioning

confidence: 99%

“…In [9], optimal capacitor placement in an existing wind farms, has been proposed as a partial reactive power compensation approach. A genetic algorithm was applied to find a limited number of capacitors on different buses and the effect of harmonics was neglected.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Capacitor Placement in Wind Farms by Considering Harmonics Using Discrete Lightning Search Algorithm

Sirjani¹

2017

Sustainability

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Currently, many wind farms exist throughout the world and, in some cases, supply a significant portion of energy to networks. However, numerous uncertainties remain with respect to the amount of energy generated by wind turbines and other sophisticated operational aspects, such as voltage and reactive power management, which requires further development and consideration. To fix the problem of poor reactive power compensation in wind farms, optimal capacitor placement has been proposed in existing wind farms as a simple and relatively inexpensive method. However, the use of induction generators, transformers, and additional capacitors represent potential problems for the harmonics of a system and therefore must be taken into account at wind farms. The optimal location and size of capacitors at buses of an 80-MW wind farm were determined according to modelled wind speed, system equivalent circuits, and harmonics in order to minimize energy losses, optimize reactive power and reduce the management costs. The discrete version of the lightning search algorithm (DLSA) is a powerful and flexible nature-inspired optimization technique that was developed and implemented herein for optimal capacitor placement in wind farms. The obtained results are compared with the results of the genetic algorithm (GA) and the discrete harmony search algorithm (DHSA).

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“…Xs is stator reactance. Considering the simplified equivalent circuit, we can compute the produced active power and the absorbed reactive power at bus j, as follows [9]:…”

Section: System Equivalent Circuitmentioning

confidence: 99%

Section: System Equivalent Circuitmentioning

confidence: 99%

Section: System Equivalent Circuitmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Capacitor Placement in Wind Farms by Considering Harmonics Using Discrete Lightning Search Algorithm

Sirjani¹

2017

Sustainability

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“…The power factor limits of a battery in both charging and discharging states are represented by (18) and (19). The capacity limit is ensured by (20) and (21). The logical constraints (18) - (19) will be simplified into mixed integer linear (MIL) format in subsection 3.3.…”

Section: Battery Constraintsmentioning

confidence: 99%

Community Microgrid Scheduling Considering Network Operational Constraints and Building Thermal Dynamics

Liu¹,

Ollis²,

Xiao³

et al. 2017

Preprint

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This paper proposes a Mixed Integer Conic Programming (MICP) model for community microgrids considering the network operational constraints and building thermal dynamics. The proposed multi-objective optimization model optimizes not only the operating cost, including fuel cost, purchasing cost, battery degradation cost, voluntary load shedding cost and the cost associated with customer discomfort due to room temperature deviation from the set point, but also several performance indices, including voltage deviation, network power loss and power factor at the Point of Common Coupling (PCC). In particular, the detailed thermal dynamic model of buildings is integrated into the distribution optimal power flow (D-OPF) model for the optimal operation. The heating, ventilation and air-conditioning (HVAC) systems can be scheduled intelligently to reduce the electricity cost while maintaining the indoor temperature in the comfort range set by customers. Numerical simulation results show the effectiveness of the proposed model and significant savings in electricity cost with network operational constraints satisfied.

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Power-quality issues and the need for reactive-power compensation in the grid integration of wind power

Saqib

Saleem²

2015

Renewable and Sustainable Energy Reviews

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Wind farm power plant: Optimal capacitor placement for reactive power compensation

Cited by 4 publications

References 9 publications

Optimal Capacitor Placement in Wind Farms by Considering Harmonics Using Discrete Lightning Search Algorithm

Optimal Capacitor Placement in Wind Farms by Considering Harmonics Using Discrete Lightning Search Algorithm

Community Microgrid Scheduling Considering Network Operational Constraints and Building Thermal Dynamics

Power-quality issues and the need for reactive-power compensation in the grid integration of wind power

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