Abstract

Quality of power supply in power distribution systems requires continuous measurement using power quality analyzers installed in the grid. The paper reviews the published methods for optimal location of metering points in distribution systems in the context of power quality metering and assessment. Three methods have been selected for detailed analysis and comparative tests. It has been found that utilization of the methods is possible, but their performance varies highly depending on the test grid’s topology. Since the methods rely on the state estimation approach, their performance is strictly related to observability analysis. It has been found that standard observability analysis used for typical state estimation problem yields ambiguous results when applied to power quality assessment. Inherited properties of the selected methods are also analyzed, which allows for the formulation of general recommendations about optimal selection of metering points in a distribution system.

Highlights

  • It has been reported that integrated electricity and heat systems (IEHS) reduce costs and increase efficiency [1] and can increase the penetration level of renewable energy resources (RES) [2]

  • It is assumed that measurements performed in the grid are a known function of the state vector altered by unknown and/or random error according to the equation: z = h(x) + e where z is a measurement vector, x is the state vector, h(x) is a function which transforms the state vector into the measurement vector, e is a random error or measurement uncertainty vector

  • The feeder is considered as an example of a complex radial distribution grid

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Summary

Introduction

The growing energy demand requires transforming power distribution systems into systems that integrate different power generation and consumption types. Both loads and generators connected to the grid have an impact on power quality (PQ). Maintaining the supply’s quality becomes one of the main tasks of a Distribution System Operator (DSO). Another complexity level is added by combining different energy forms (electricity, heat, gas) into one combined distribution system. It has been reported that integrated electricity and heat systems (IEHS) reduce costs and increase efficiency [1] and can increase the penetration level of renewable energy resources (RES) [2]. Efficient cooperation requires the installation of meters in the right places

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