Data-Centric Electricity System Governance – Detailed Explanation With Case Laws

1. Introduction

Data-centric electricity system governance means managing the electricity system through high-quality, reliable and properly governed data. Traditional electricity regulation mainly focused on physical infrastructure such as power stations, transmission lines and distribution networks. Today, smart meters, sensors, batteries, electric vehicles, renewable generators and digital platforms produce huge amounts of information. This makes data an important part of electricity governance. Ofgem's Data Best Practice framework aims to improve how energy-system data is managed, accessed and used across the sector.

2. Meaning of Data-Centric Governance

A data-centric approach means that important regulatory and operational decisions are based on reliable data. For example, a network operator can use electricity-demand data to identify where the network may become congested. A regulator can use market data to monitor competition and consumer outcomes. A system operator can use generation and demand information to balance the electricity system. Therefore, data becomes a basic resource for planning, regulation, monitoring and decision-making.

3. Importance of Data Quality

Good governance requires data to be accurate, complete, timely and consistent. Poor-quality data can lead to incorrect decisions. For example, if a distribution network operator receives inaccurate information about electricity demand, it may incorrectly assess the need for network investment. Similarly, incorrect meter information can create problems in electricity billing and settlement. Ofgem's data-assurance framework places importance on identifying data risks and improving the quality of regulatory and operational information.

4. Data Access and Sharing

A data-centric electricity system cannot work if useful information is kept in separate systems. DNOs, suppliers, system operators, regulators and flexibility providers may need to exchange information. Ofgem's Data Best Practice approach supports the sharing of energy-system data where appropriate and encourages organisations to make data more accessible and usable. However, access should be controlled because some energy data may contain commercially sensitive or personal information.

5. Consumer Data and Privacy

Smart meters can create detailed information about household electricity consumption. Where this information identifies a person, it may be personal data under the UK GDPR. Energy organisations must therefore consider lawful processing, transparency, data minimisation, security and consumer rights. Data governance must balance the benefits of sharing information with the protection of individual privacy.

6. Data Governance and Market Competition

Data can also affect competition. A company controlling important energy data may gain an advantage over competitors. For example, if one market participant has exclusive access to valuable flexibility or consumption information, new companies may face barriers to entering the market. Proper governance can support fair and non-discriminatory access to relevant information. This can encourage innovation by smaller companies and new energy-service providers.

7. Digitalisation and Interoperability

Electricity systems increasingly contain different digital platforms. Smart meters, network-management systems, market platforms and flexibility systems must exchange information. Common standards and interoperable systems help these technologies communicate. Ofgem's Data Best Practice framework encourages consistent approaches to managing energy data, supporting better information sharing across the sector.

8. Cybersecurity

Data-centric governance also creates cybersecurity responsibilities. Electricity data and digital control systems can become targets for cyberattacks. A successful attack could affect both consumer privacy and physical electricity operations. Organisations therefore need appropriate access controls, authentication, monitoring and security measures. The governance framework should clearly identify who is responsible for protecting data and responding to incidents.

9. Case Law – Lloyd v Google

In Lloyd v Google LLC [2021] UKSC 50, the UK Supreme Court considered the large-scale collection and use of personal data. The Court rejected the representative claim in the form presented. The case is relevant to electricity governance because it demonstrates the importance of proper legal controls when organisations collect and use large quantities of personal information.

10. Case Law – Vidal-Hall v Google

In Vidal-Hall v Google Inc [2015] EWCA Civ 311, the Court of Appeal considered issues concerning misuse and processing of private information. The case is relevant to smart electricity systems because detailed energy-consumption data may reveal information about people's private lives. It supports the need for privacy safeguards when electricity data is collected and processed.

11. Case Law – SSE Generation Ltd v CMA

In SSE Generation Ltd v Competition and Markets Authority [2022] EWCA Civ 1472, the Court of Appeal considered aspects of electricity-market regulation and the Balancing and Settlement Code. The case illustrates the importance of regulated market rules in organising relationships between electricity-market participants. For data-centric governance, this shows that technical information and market rules must work together to support reliable electricity-system operation.

12. Role of Regulators

Regulators such as Ofgem have an important role in establishing data governance requirements. They can create rules relating to data quality, sharing, privacy, transparency and security. They can also require market participants to provide information needed for regulatory monitoring. In this way, regulation ensures that data is not controlled only by commercial interests but also serves wider electricity-system objectives.

13. Conclusion

Data-centric electricity system governance represents a shift from governing electricity only through physical infrastructure towards governing a digital and information-based energy system. Reliable data is necessary for network planning, market monitoring, settlement, flexibility, consumer services and system balancing. At the same time, data governance must address privacy, cybersecurity, competition and access. A strong framework should therefore combine data quality, transparency, interoperability, consumer protection, fair access and regulatory oversight. This approach can make the electricity system more efficient and flexible while maintaining public trust and legal accountability.