Abstract

With the advent of the smart grid era, the electrical grid is becoming a complex network in which different technologies coexist to bring benefits to both customers and operators. This paper presents a methodology for analyzing Key Performance Indicators (KPIs), providing knowledge about the performance and efficiency of energy systems, focusing on the demand side. In the first stage of the methodology, the baseline KPIs are calculated. In the second stage, all KPIs are updated to be compared with the baseline ones. In fact, due to the dynamic nature of players in a smart grid, this methodology plays a crucial role in the performance assessment. Moreover, the proper definition and selection of KPIs is usually a challenging task since KPIs can be applied to evaluate diverse areas within a smart grid. Such areas include building energy efficiency, home communications, and smart metering deployment, just to mention a few. In the proposed methodology, the information obtained from a KPI can be driven to distinct aspects such as efficiency, environment, reliability, power quality, safety, security, or cost reduction. Through a case study from a real implementation of an energy system, we show how to assess energy consumption efficiency, thus improving energy management.

Highlights

  • Nowadays, electric grids are evolving fast into complex systems mainly driven by smart grid (SG) technologies

  • Using the procedure presented in sub-section 3.2, the PV generation impact in Municipal buildings is made as a selected example, where the Key Performance Indicators (KPIs) are calculated along the time

  • In this paper, a KPIs analysis methodology was presented to evaluate the impact of energy management solutions

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Summary

Introduction

Electric grids are evolving fast into complex systems mainly driven by smart grid (SG) technologies. The most suitable energy-related KPIs are identified from the literature review to make possible the abstraction of raw data from measurements of consumption and supplied power into quantitative indicators that better reflect the objectives pursued by stakeholders. The developed methodology is used to determine a baseline and assess the impact of KPIs. a case study is used to illustrate the impact of photovoltaic (PV) generation in an energy community, representing a set of consumers with PV. The works mentioned above are mostly focused on KPIs specific for resources (PV and storage, for example), for buildings, for island grids, and for project evaluation. These works lack a simple approach that can be used to any kind of data, with clear identification of the baseline calculation phase. In the present paper, these aspects are combined with a case study of an energy community with different types of consumers and PV generation

Section 3.1
H XD XT
Results and discussion
Conclusions
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