Reactive power control of photovoltaic systems based on the voltage sensitivity analysis

Aghatehrani, Rasool; Golnas, Anastasios

doi:10.1109/pesgm.2012.6345477

Cited by 43 publications

(23 citation statements)

References 4 publications

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“…In Refs. [21] and [22], it is suggested to compensate the voltage variations caused by changes in the PV generation with the use of reactive power and appropriate voltage sensitivity models. An adaptive control of reactive power production is used in [23], providing a compromise between the operation of the PV unit at unitary power factor and voltage control.…”

Section: A Literature Reviewmentioning

confidence: 99%

Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

Frédéric

Aristidou

Ernst

et al. 2016

IEEE Trans. Smart Grid

287

164

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Abstract-In this paper, the overvoltage problems that might arise from the integration of photovoltaic panels into low-voltage distribution networks is addressed. A distributed scheme is proposed that adjusts the reactive and active power output of inverters to prevent or alleviate such problems. The proposed scheme is model-free and makes use of limited communication between the controllers, in the form of a distress signal, only during emergency conditions. It prioritizes the use of reactive power, while active power curtailment is performed only as a last resort. The behavior of the scheme is studied using dynamic simulations on a single low-voltage feeder and on a larger network composed of 14 low-voltage feeders. Its performance is compared to a centralized scheme based on the solution of an Optimal Power Flow problem, whose objective function is to minimize the active power curtailment. The proposed scheme successfully mitigates overvoltage situations due to high photovoltaic penetration and performs almost as well as the Optimal Power Flow based solution with significantly less information and communication requirements.Index Terms-low-voltage photovoltaic systems, active distribution network management, voltage control

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Section: A Literature Reviewmentioning

confidence: 99%

Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

Frédéric

Aristidou

Ernst

et al. 2016

IEEE Trans. Smart Grid

287

164

View full text Add to dashboard Cite

show abstract

“…• Prioritisation of sensitive areas for voltage fluctuation management [9], • 'Area-of-effect' determination of new power conversion or delivery equipment [4], and • Placement decisions for loads, generation and voltage control devices in order to maximise or minimise their effect on system voltages [7], [11], [12]. A number of specific application examples from the existing literature are outlined in Section II-B, and a number of of proposed applications are discussed in Section V.…”

Section: A Strengths Of the Sensitivity Analysis Techniquementioning

confidence: 99%

“…Aghatehrani and Golnas [9] make use of same-bus sensitivity analysis as an integral part of a control strategy to minimise voltage fluctuations at network buses with PV installations. By calculating the ratio of…”

Section: B Existing Applications Of Sensitivity Analysis For Voltagementioning

confidence: 99%

“…Sensitivity data is readily obtained from the inverse of the standard Jacobian matrix J used for the calculation of network bus voltages under the Newton-Raphson load-flow technique [9]. The Newton-Raphson technique is an iterative load-flow approach, whereby the voltages in the circuit are set to some initial value and then repeatedly updated until the change in calculated values is smaller than a predetermined threshold.…”

Section: Theoretical Background a Obtaining Sensitivity Data Frmentioning

confidence: 99%

“…Sensitivity data arises through two main means: 'perturband-observe', that is, making a small change in network state and measuring the effect [8], and as a natural by-product of the Newton-Raphson load-flow algorithm [9], which is one of the most popular load-flow techniques for software simulation [10]. Despite the commonness of the Newton-Raphson load flow, sensitivity data is rarely accessible in modern network planning software.…”

Section: Introductionmentioning

confidence: 99%

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A Sensitivity Analysis Toolkit for the Simplification of MV Distribution Network Voltage Management

Tamp

Ciufo

2014

IEEE Trans. Smart Grid

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As distribution networks become increasingly variable and generation becomes increasingly decentralised, voltage standards are becoming more liable to violation. Accordingly, intelligent voltage management strategies are required to enable standards compliance without unduly increasing network maintenance or infrastructure costs. The relationship between network power and voltages, however, is complex, non-linear and interdependent, and thus is difficult to conceptualise and use for decision-making and control purposes. This paper introduces a software toolkit that simplifies the development of voltage management strategies by the application of sensitivity analysis. Sensitivity analysis reduces complex network relationships to simple linear equations, and thus enables easy and comprehensive conceptualisation of the effect of network modifications. Sensitivity data is obtained through a unique 'perturb-and-observe' algorithm built on top of an open-source simulation package. The toolkit enables the rapid development of sensitivity-driven network experimentation and is highly extensible. A number of applications that demonstrate the usefulness of these techniques are presented, including the development of a reactive power control algorithm for the mitigation of inverter-based, distributed generation (DG)-induced voltage rise, and the verification of voltage-supportcapacitor-bank placement for a real Australian semi-rural network. Finally, this paper presents some suggestions for possible future applications of data-driven, simulator-augmented sensitivity analysis techniques. Abstract-As distribution networks become increasingly variable and generation becomes increasingly decentralised, voltage standards are becoming more liable to violation. Accordingly, intelligent voltage management strategies are required to enable standards compliance without unduly increasing network maintenance or infrastructure costs. The relationship between network power and voltages, however, is complex, non-linear and interdependent, and thus is difficult to conceptualise and use for decision-making and control purposes. This paper introduces a software toolkit that simplifies the development of voltage management strategies by the application of sensitivity analysis. Sensitivity analysis reduces complex network P -Q -|V | relationships to simple linear equations, and thus enables easy and comprehensive conceptualisation of the effect of network modifications. Sensitivity data is obtained through a unique 'perturb-and-observe' algorithm built on top of an open-source simulation package. The toolkit enables the rapid development of sensitivity-driven network experimentation and is highly extensible.A number of applications that demonstrate the usefulness of these techniques are presented, including the development of a reactive power control algorithm for the mitigation of inverterbased, distributed generation (DG)-induced voltage rise, and the verification of voltage-support-capacitor-bank placement for a real Australian semi...

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A mixed-integer formulation of OLTC dynamics to minimize distribution and subtransmission tap changes induced by wind and solar power variations

Baghsorkhi

2018

Energy Syst

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Reactive power control of photovoltaic systems based on the voltage sensitivity analysis

Cited by 43 publications

References 4 publications

Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

A Sensitivity Analysis Toolkit for the Simplification of MV Distribution Network Voltage Management

A mixed-integer formulation of OLTC dynamics to minimize distribution and subtransmission tap changes induced by wind and solar power variations

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