Analytical approach to assess the loadability of unbalanced distribution grid with rooftop PV units

Yaghoobi, Jalil; Islam, Monirul; Mithulananthan, Nadarajah

doi:10.1016/j.apenergy.2017.11.030

Cited by 31 publications

(29 citation statements)

References 31 publications

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“…Most of these small-size PV systems are installed on rooftops of residential customers as behind-meter generators, and the connection of a rooftop PV system is entirely dependent on the electricity phase of the residential house. Therefore, with such randomness, unbalanced PV power integration across three phases is inevitable in distribution systems [6,7]. Low voltage (LV) power networks in Australia are extensive three-phase systems, which generally provide electricity supply for several tens to more than one hundred residential customers.…”

Section: A Literature Reviewmentioning

confidence: 99%

“…(ℎ, ∈ { , , }) denotes self or mutual impedances among three phases. For Phase A, (A1) can be rewritten as ( Therefore, ∆ is a higher order quantity of ∆ (voltage magnitude deviation between Bus and Bus on Phase ), which can be ignored with an acceptable mismatch [35,36] which is exactly the Volt-Var response equation as given in (7) for Phase A. Coupled voltage response on Phase B and Phase C as in (8) and (9) can also be similarly derived.…”

Section: A Derivation Of Three-phase Volt-var Response Equationsmentioning

confidence: 99%

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A Distributed Inter-Phase Coordination Algorithm for Voltage Control With Unbalanced PV Integration in LV Systems

Wang

Yan

Bai

et al. 2020

IEEE Trans. Sustain. Energy

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Most traditional Var compensation-based voltage regulation methods are developed following the single-phase Volt-Var response rule. These methods typically have competent voltage regulation performance with balanced photovoltaic (PV) integration. However, certain randomness of single-phase rooftop PV installation may lead to significant PV power imbalance across three phases, especially in low voltage (LV) distribution systems. In such unbalanced situations, unintended inter-phase Volt-Var response which is ignored in the single-phase Volt-Var response rule will become significant and greatly challenge the effectiveness of the traditional methods on voltage regulation. This can further cause inverter saturation and consequently makes distribution systems vulnerable to overvoltage problems. In this paper, the mathematical equations of unbalanced three-phase Volt-Var response are first derived and analyzed to identify the strong MVE (mutual Var compensation effect) and the weak MVE. This analysis provides the theoretical foundation for the development of the proposed interphase coordinated consensus algorithm, which can successfully overcome PV imbalance-induced voltage regulation challenges (e.g. inverter saturation and network overvoltage), while does not need exact system parameters. The effectiveness of this method has been validated by time-series simulations with a real LV distribution system and recorded data.

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Section: A Literature Reviewmentioning

confidence: 99%

Section: A Derivation Of Three-phase Volt-var Response Equationsmentioning

confidence: 99%

A Distributed Inter-Phase Coordination Algorithm for Voltage Control With Unbalanced PV Integration in LV Systems

Wang

Yan

Bai

et al. 2020

IEEE Trans. Sustain. Energy

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“…The objective function of the optimization programming is defined by (1). The first term of (1) shows the energy cost of the loads on all three phases.…”

Section: A Objective Function Of Modelmentioning

confidence: 99%

“…E LECTRIC power systems and specifically electric distribution networks often operate under unbalanced condition due to the installation of many single-phase loads as well as the unsymmetrical distribution of three-phase loads on the feeders [1]. The unbalanced currents of such loads flow through power grid lines and produce unbalanced voltage in the grid.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Linear Programming for Optimal Planning of Battery Storage Systems Under Unbalanced-uncertain Conditions

Hemmati

Mehrjerdi

2020

Journal of Modern Power Systems and Clean Energy

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Battery energy storage system (BESS) has already been studied to deal with uncertain parameters of the electrical systems such as loads and renewable energies. However, the BESS have not been properly studied under unbalanced operation of power grids. This paper aims to study the modelling and operation of BESS under unbalanced-uncertain conditions in the power grids. The proposed model manages the BESS to optimize energy cost, deal with load uncertainties, and settle the unbalanced loading at the same time. The three-phase unbalanced-uncertain loads are modelled and the BESSs are utilized to produce separate charging/discharging pattern on each phase to remove the unbalanced condition. The IEEE 69-bus grid is considered as case study. The load uncertainty is developed by Gaussian probability function and the stochastic programming is adopted to tackle the uncertainties. The model is formulated as mixed-integer linear programming and solved by GAMS/ CPLEX. The results demonstrate that the model is able to deal with the unbalanced-uncertain conditions at the same time. The model also minimizes the operation cost and satisfies all security constraints of power grid.

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“…For such applications, low input voltage from (PV) source need to be stepped-up. For example, in micro PV inverter, interfacing PV panel with a 230 VRMS grid requires the low PV voltage (typical around 30 VDC) to be stepped up to around 375-400 VDC [5,[9][10][11][12][13][14][15][16][17][18][19]. For such applications, the voltage boosting required is too high to be achievable using conventional basic boost DC-DC converter topology, hence there remains a necessity for modified topologies offering high voltage gain.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems

et al. 2019

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In this paper, a comparative analysis has been presented on various topologies of isolated and non-isolated DC-DC converters. Here, the major focus remains on transformer-less (TL) DC-DC converters, based on the conventional basic boost converter. In addition, to attain high voltage gain, a classification of non-isolated converters based on extendable and non-extendable design has been presented. For comparative and theoretical analysis, the parameters chosen are the number of components utilized by each converter topology, high voltage gain offered, voltage stresses on each component involved and the efficiency of the high gain topologies. For the converters under discussion, operation under ideal and non-ideal conditions has also been highlighted. Based on this study, authors present a guide for the reader to identify various high voltage gain topologies for photovoltaic (PV) systems.

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Analytical approach to assess the loadability of unbalanced distribution grid with rooftop PV units

Cited by 31 publications

References 31 publications

A Distributed Inter-Phase Coordination Algorithm for Voltage Control With Unbalanced PV Integration in LV Systems

A Distributed Inter-Phase Coordination Algorithm for Voltage Control With Unbalanced PV Integration in LV Systems

Stochastic Linear Programming for Optimal Planning of Battery Storage Systems Under Unbalanced-uncertain Conditions

Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems

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