Measurement uncertainty impact on simplified load flow analysis in MV smart grids

Cataliotti, Antonio; Cosentino, Valentina; Guaiana, Salvatore; Nuccio, S.; Cara, Dario Di; Panzavecchia, Nicola; Tinè, Giovanni

doi:10.1109/i2mtc.2018.8409826

Cited by 8 publications

(9 citation statements)

References 20 publications

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“…Thus, starting from the measured current and the rated value of the CT installed in each node, η CT% and CT are obtained and then PM uncertainties are calculated by using (3). More details on this procedure are reported in [36,37]. In the node without PM, a pseudo-measurement with an uncertainty of 100% is assumed in analogy of [24].…”

Section: Real Case Study Network and Simulation Resultsmentioning

confidence: 99%

Incremental Heuristic Approach for Meter Placement in Radial Distribution Systems

et al. 2019

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The evolution of modern power distribution systems into smart grids requires the development of dedicated state estimation (SE) algorithms for real-time identification of the overall system state variables. This paper proposes a strategy to evaluate the minimum number and best position of power injection meters in radial distribution systems for SE purposes. Measurement points are identified with the aim of reducing uncertainty in branch power flow estimations. An incremental heuristic meter placement (IHMP) approach is proposed to select the locations and total number of power measurements. The meter placement procedure was implemented for a backward/forward load flow algorithm proposed by the authors, which allows the evaluation of medium-voltage power flows starting from low-voltage load measurements. This allows the reduction of the overall costs of measurement equipment and setup. The IHMP method was tested in the real 25-bus medium-voltage (MV) radial distribution network of the Island of Ustica (Mediterranean Sea). The proposed method is useful both for finding the best measurement configuration in a new distribution network and also for implementing an incremental enhancement of an existing measurement configuration, reaching a good tradeoff between instrumentation costs and measurement uncertainty.

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Section: Real Case Study Network and Simulation Resultsmentioning

confidence: 99%

Incremental Heuristic Approach for Meter Placement in Radial Distribution Systems

et al. 2019

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“…To analyze the algorithm formulation in more detail, the single-phase network model used is shown in Figure 3 [50][51][52]. In the model, the voltages are the medium values of the three phases while the active and reactive powers are the total powers of the three phases.…”

Section: Monitoring Architecture and Virtual Tool For Load Flow Analysismentioning

confidence: 99%

“…As regards this, in practical cases this is a source of uncertainty (as these data are affected by uncertainty); in this viewpoint, in Section 4 the impact of such uncertainty on power flow results is analyzed. To analyze the algorithm formulation in more detail, the single-phase network model used is shown in Figure 3 [50][51][52]. In the model, the voltages are the medium values of the three phases while the active and reactive powers are the total powers of the three phases.…”

Section: Monitoring Architecture and Virtual Tool For Load Flow Analysismentioning

confidence: 99%

“…More in detail, the uncertainties on the active and reactive power measurements for the MV users are calculated, considering a type B evaluation and a rectangular distribution, through the following formulas [50]:…”

Section: Of 25mentioning

confidence: 99%

“…Moreover, they are installed at the low-voltage (LV) side of power transformers, thus reducing installation costs; these last could be even null, if smart meters are already installed by DSO for energy theft detection purposes. Starting from LV active and reactive power measurements acquired by these instruments in each secondary substation, the authors developed a backward-forward load flow (BF-LF) algorithm, which allows determining all the other network state variables [48][49][50].…”

Section: Introductionmentioning

confidence: 99%

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A Virtual Tool for Load Flow Analysis in a Micro-Grid

et al. 2020

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This paper proposes a virtual tool for load flow analysis in energy distribution systems of micro-grids. The solution is based on a low-cost measurement architecture, which entails low-voltage power measurements in each secondary substation and a voltage measurement at the beginning of the medium voltage (MV) feeder. The proposed virtual tool periodically queries these instruments to acquire the measurements. Then, it implements a backward–forward load flow algorithm, to evaluate the power flow in each branch and the voltage at each node. The virtual tool performances are validated using power measurements acquired at the beginning of each MV feeder. The uncertainties on each calculated quantity are also evaluated starting from the uncertainties due to the used measurement instruments. Moreover, the influence of the line parameter uncertainties on the evaluated quantities is also considered. The validated tool is useful for the online analysis of power flows and also for planning purposes, as it allows verifying the influence of future distributed generator power injection. In fact, the tool is able to off-line perform the load flow calculation in differently distributed generation scenarios. The micro-grid of Favignana Island was used as a case study to test the developed virtual tool.

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