General Topics

Systems

lead-authors: [Name] contributors: [Names] reviewers: [Names] version: 2.0 updated: 19 March 2026 sensitivity: low ai-disclosure: Claude Sonnet 4.6 (Anthropic) assisted with research synthesis and section update. Verification is in progress. status: development short-desc: Conceptual frameworks for understanding energy systems as socio-technical, cyber-physical, and innovation-oriented configurations.

Systems thinking applies concepts of interdependence, emergence, feedback, and boundary-setting to understanding how energy infrastructure, markets, and institutions interact.

Energy systems are not simply technical objects with well-defined components. They are sociotechnical configurations in which physical infrastructure, regulatory frameworks, economic actors, and everyday practices are mutually constituted. Systems thinking draws on multiple traditions such as engineering, ecology, and social science, and provides tools for analysing how change propagates, where leverage points exist, and why interventions produce unintended consequences.1)

Disciplines see systems in different ways - as open or closed, as static or dynamic and evolving.

Energy systems as socio-technical configurations

Socio-technical systems are defined as the linkages between elements necessary to fulfil societal functions.2) For energy, this means actors, technologies, and institutions that co-evolve and align over time3) — encompassing both the supply side (generation, distribution infrastructure) and the demand side (consumer practices, building stock, industrial processes), each shaped by regulatory norms and market rules.

This co-evolution is stabilising and constraining simultaneously. It enables reliable provision at scale, but also produces path dependency and lock-in, where existing technologies, regulations, and actor relationships reinforce each other and resist radical change.4) The multi-level perspective (MLP) captures this through three analytical levels: the landscape (broad macro-level pressures), the regime (dominant rules, practices, and technologies), and the niche (where radical innovations develop in protected conditions). Transitions occur when regime destabilisation aligns with niche innovations gaining momentum.

A layered functional reading complements this. Rather than treating energy as a single integrated whole, it distinguishes:

  • Resources — fossil fuels, wind, solar, nuclear
  • Production — centralised generation, transformation, industrial processes
  • Logistics — transmission, distribution, storage, imports/exports
  • End-use — people, industry, transport/mobility, ICT and services

Cutting across all layers are supporting capacities (R&I, education) and supporting infrastructures (transport, ICT). This view makes visible how interventions at one layer propagate to others and where systemic dependencies concentrate.

The smart grid as a cyber-physical system

A cyber-physical system (CPS) combines physical processes with embedded computation, networking, and real-time control. The smart grid has been characterised as a system of CPS that must work together to exchange data and perform predictably.5)

The distinguishing feature of the smart grid is the addition of two-way communication alongside two-way power flow, which is both its main capability and its main vulnerability.

NIST's smart grid conceptual model identifies seven functional domains, such as bulk generation, transmission, distribution, markets, operations, service provider, and customer, and the interfaces across which interoperable, secure data exchange must take place.6) From a CPS perspective, smart grid modernisation is a system-of-systems design challenge: intelligent sensors, automated controls, advanced metering, and distributed energy resources must participate in real-time coordination across all domains. This expands operational capabilities — demand flexibility, distributed generation integration — while also expanding the cybersecurity attack surface. Security thus becomes a systemic property of the infrastructure, not a bolt-on concern.

Innovation systems and the energy transition

The technological innovation systems (TIS) approach analyses how new energy technologies emerge and challenge incumbents through seven system functions: knowledge development and diffusion, entrepreneurial experimentation, direction of search, market formation, legitimation, resource mobilisation, and positive externalities.7) A TIS comprises the technologies, actors, and institutions organised around a particular innovation — asking what systemic conditions are needed for it to develop.

An innovation ecosystem frames this relationally: the interdependent network of entrepreneurs, technology providers, research organisations, financiers, regulators, and users whose coordinated activity enables commercialisation and scaling. Where TIS asks what functions the system performs, ecosystem framing asks who connects whom and who orchestrates collaboration.

Both complement the MLP by attending to how niche innovations are produced in the first place. For smart grid transitions specifically, ICT firms entering the electricity sector have been identified as potential catalysts for sectoral change — bringing business models, standards expectations, and institutional logics that do not fit the traditional utility-centred system.8)

Key terms

; Socio-technical system : A configuration of actors, technologies, and institutions co-evolved to fulfil a societal function such as energy provision. ; Regime : The dominant rules, norms, and practices stabilising an established socio-technical system; resistant to radical change. ; Niche : A protected space in which radical innovations develop outside the full competitive and regulatory pressures of the regime. ; Cyber-physical system (CPS) : A system integrating physical processes with computation, networking, and real-time control. ; Technological innovation system (TIS) : The actors, institutions, and technologies organised around a specific technology, assessed through system functions. ; Lock-in : Self-reinforcing interdependencies between technologies, actors, and institutions that make system change difficult even when its need is apparent.

Distinctions and overlaps

The socio-technical and CPS framings address the same infrastructure from different starting points: the former asks how social and technical elements co-evolved and what this means for change; the latter asks how physical and digital elements must be designed to function reliably together. Smart grid transitions require both: engineering architecture must be designed for interoperability and security, while institutional and market architecture must also evolve to accommodate new actors and coordination demands.

The TIS and innovation ecosystem concepts address overlapping territory. An ecosystem is in one sense a particular TIS configuration at a given moment in a given geography. The distinction carries analytical weight because ecosystem framing emphasises orchestration logic — who sets the terms of collaboration — while TIS framing emphasises functional performance — what activities the system is or is not carrying out.

References

1)
Meadows, D. H. (2008). Thinking in systems: A primer. Chelsea Green Publishing.
2)
Geels, F. W. (2004). From sectoral systems of innovation to socio-technical systems. Research Policy, 33(6–7), 897–920.
3)
Markard, J., Raven, R., & Truffer, B. (2012). Sustainability transitions: An emerging field of research and its prospects. Research Policy, 41(6), 955–967.
4)
Geels, F. W., Sovacool, B. K., Schwanen, T., & Sorrell, S. (2017). The socio-technical dynamics of low-carbon transitions. Joule, 1(3), 463–479.
5)
NARUC (2021). Understanding Cybersecurity for the Smart Grid. National Association of Regulatory Utility Commissioners.
6)
NIST (2021). Framework and Roadmap for Smart Grid Interoperability Standards, Release 4.0. National Institute of Standards and Technology.
7)
Bergek, A., Jacobsson, S., Carlsson, B., Lindmark, S., & Rickne, A. (2008). Analyzing the functional dynamics of technological innovation systems. Research Policy, 37(3), 407–429.
8)
Erlinghagen, S., & Markard, J. (2012). Smart grids and the transformation of the electricity sector: ICT firms as potential catalysts for sectoral change. Energy Policy, 51, 895–906.