A System-Based Framework for Optimal Sensor Placement in Smart Grids

Agrippina Mwangi, Konrad Sundsgaard, Jose Angel Leiva Vilaplana, Kaio Vinicius Vilera, Guangya Yang

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


The number of sensors deployed in power systems unlocks the promising benefits and capabilities of digitalisation. Sensor-driven applications and communication technologies, which are the backbone of smart grids, present an unprecedented opportunity to improve grid observability and enable the integration of renewable energy sources cost-effectively. Observability is dependent on optimal sensor placement (OSP), which also relies on economic and technical constraints. To achieve observability optimally, past sensor placement studies have applied optimisation methods in power systems. However, these often neglect the broader and interdisciplinary scope in which sensor placement is included, as well as the interoperability between the phases of the OSP workflow. Therefore, there is a need to evaluate sensor placement from a system-based perspective and to structure the placement process into workflow categories, describing their interdependencies. This is to assess the technical, economic, business, social, and environmental factors affecting sensor placement and their impact on decision-making and the performance of digital applications using the collected data. Thus, this discussion paper proposes a system-based sensor placement framework addressing the main challenges, performance metrics, and the value of information for continuous sensor placement.
Original languageEnglish
Title of host publicationProceedings of 2023 IEEE Belgrade PowerTech
Number of pages6
Publication date2023
ISBN (Electronic)978-1-6654-8778-8
Publication statusPublished - 2023
Event2023 IEEE Belgrade PowerTech - Hotel Crowne Plaza, Belgrade, Serbia
Duration: 25 Jun 202329 Jun 2023
Conference number: 15


Conference2023 IEEE Belgrade PowerTech
LocationHotel Crowne Plaza


  • Optimal sensor placement
  • Smart grids
  • IoT
  • Optimisation
  • Digitalisation
  • Systems theory, and holistic framework design


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