1. Introduction

Electricity systems are increasingly exposed to geopolitical risks because modern power systems depend on cross-border electricity trade, imported fuels, critical minerals, foreign-manufactured equipment, digital infrastructure, interconnectors, and international supply chains. Geopolitical events such as war, sanctions, trade restrictions, diplomatic disputes, cyberattacks, sabotage, maritime disruptions, or restrictions on critical energy technologies can therefore affect not only energy prices but also the physical reliability of electricity systems.

Geopolitical risk modelling for electricity systems is the systematic process of identifying, quantifying, and managing the probability and consequences of geopolitical events that could disrupt electricity generation, transmission, distribution, fuel supply, electricity markets, or critical infrastructure.

The issue has become particularly important after the European energy crisis. The EU's current electricity-security framework expressly recognises that integrated electricity markets improve resilience but can also create transnational crisis risks, requiring coordinated national and regional risk assessment. (Energy)

In legal terms, geopolitical risk modelling connects energy security law, electricity regulation, national security, infrastructure protection, market regulation, emergency powers, and international economic law.

2. Meaning and Scope of Geopolitical Risk

A geopolitical risk is a risk arising from relationships or conflicts between states or from international political developments that affect an electricity system.

Major categories include:

Military conflict – destruction or occupation of generation plants, substations or transmission lines.

Energy-supply coercion – deliberate restriction of gas, coal, uranium or other fuels.

Trade sanctions – restrictions affecting equipment, fuel or electricity imports.

Critical-mineral dependency – disruption of supplies of lithium, cobalt, nickel, copper, rare earths and other materials.

Cybersecurity threats – state-sponsored attacks against electricity-control systems.

Physical sabotage – attacks on substations, interconnectors, pipelines or cables.

Cross-border electricity dependency – dependence on neighbouring countries for electricity imports.

Maritime geopolitical risks – disruption of shipping routes used for LNG, coal or energy equipment.

Foreign ownership and investment risks – strategic control of electricity infrastructure by foreign entities.

Technology dependence – reliance on foreign suppliers for transformers, batteries, solar modules, turbines, software and grid-control equipment.

Thus, geopolitical risk is not limited to the question of whether a country can physically generate enough electricity. It also concerns whether the system can continue operating when international political conditions change suddenly.

3. Why Electricity Systems Require Special Geopolitical Modelling

Electricity is different from many commodities because supply and demand must be balanced almost continuously.

A geopolitical disruption can therefore propagate through the system:

Geopolitical event → fuel/equipment disruption → generation shortage → transmission congestion → price increase → emergency intervention → possible electricity shortage.

For example, a disruption in natural-gas supplies can indirectly become an electricity-security problem where gas-fired generation is important. The EU's recent legislation specifically recognises that gas-price and supply disruptions can produce electricity-price and electricity-security effects. (EUR-Lex)

This means electricity risk modelling should examine both direct and indirect effects.

4. Core Structure of a Geopolitical Risk Model

A useful model can be expressed as:

GR=P(E)×I(E)×V(E)×(1−R)GR = P(E) \times I(E) \times V(E) \times (1-R)

Where:

GR = geopolitical risk;

P(E) = probability of geopolitical event;

I(E) = impact of the event;

V(E) = vulnerability of the electricity system;

R = resilience or mitigation capacity.

This should not be understood as a precise universal formula. It is a modelling framework that allows regulators and system operators to compare different scenarios.

Example

Suppose an electricity system depends heavily on one foreign country for natural gas.

A model could examine:

The model then calculates the consequences under several scenarios rather than relying on a single forecast.

5. Scenario-Based Geopolitical Modelling

The most useful approach is generally scenario analysis.

Scenario A – Diplomatic dispute

A supplier imposes restrictions but does not completely terminate supplies.

Scenario B – Sanctions

Financial sanctions prevent electricity companies from purchasing fuel or equipment from a particular jurisdiction.

Scenario C – Military conflict

Generation facilities, transmission corridors or fuel infrastructure become unavailable.

Scenario D – Cyberattack

A sophisticated cyberattack compromises control systems.

Scenario E – Critical-mineral disruption

A major exporting state restricts supplies of materials required for batteries, transformers or renewable-energy equipment.

Scenario F – Maritime disruption

A strategically important shipping route becomes unavailable, increasing LNG or equipment costs.

The model should estimate:

lost generation capacity;

fuel availability;

electricity-price effects;

transmission congestion;

reserve margins;

blackout probability;

duration of disruption;

economic losses;

vulnerable consumers affected;

restoration time.

6. Electricity-System Vulnerability Indicators

A geopolitical model should identify structural vulnerabilities.

(a) Import dependency

The higher the proportion of imported fuel or equipment, the greater the potential external vulnerability.

(b) Supplier concentration

Dependence upon one supplier creates greater concentration risk.

A useful indicator is the Herfindahl-Hirschman Index (HHI):

HHI=∑si2HHI=\sum s_i^2

where sis_i represents the market share of each supplier.

A highly concentrated supply structure creates greater exposure to disruption by a dominant supplier.

(c) Infrastructure concentration

A system may have adequate generation capacity but still be vulnerable if a small number of substations or transmission corridors are indispensable.

(d) Interconnector dependency

Cross-border interconnection can improve resilience but can also create geopolitical exposure.

The EU expressly recognises this dual character: integrated electricity systems increase resilience while simultaneously creating risks of transnational electricity crises. (Energy)

7. Network-Based Modelling

Electricity grids should also be represented as networks.

The model can represent:

generating stations as nodes;

substations as nodes;

transmission lines as edges;

interconnectors as international edges;

consumers as demand nodes.

The model then asks:

What happens if one or more strategically important nodes or transmission corridors become unavailable?

This is particularly important for geopolitical sabotage.

For example:

Country A → Interconnector → Country B → Major Substation → Metropolitan Load Centre

If the interconnector is disrupted, the model can determine whether Country B has sufficient domestic generation and alternative transmission paths.

8. Monte Carlo and Probabilistic Modelling

Because geopolitical events are uncertain, deterministic modelling is insufficient.

A probabilistic model can generate thousands of scenarios.

For example:

P(shortage)=f(F,T,C,D,S)P(\text{shortage}) = f(F,T,C,D,S)

Where:

FF = fuel availability;

TT = transmission availability;

CC = cross-border capacity;

DD = electricity demand;

SS = storage and reserve capacity.

Monte Carlo simulation can then estimate the distribution of possible outcomes.

The objective is not to predict precisely when a geopolitical crisis will occur. Instead, the objective is to identify system vulnerabilities before the crisis occurs.

9. Stress Testing

Electricity regulators can require utilities to conduct geopolitical stress tests.

A stress test could ask:

What would happen if the country's largest foreign fuel supplier stopped deliveries for six months?

Another could ask:

What if 20% of imported transformers became unavailable because of sanctions or trade restrictions?

A further scenario could examine:

What if two major transmission interconnectors were simultaneously unavailable?

Stress testing converts geopolitical uncertainty into concrete regulatory planning.

10. Legal Framework for Geopolitical Risk Modelling

Geopolitical modelling must ultimately be translated into legal obligations.

Important legal mechanisms include:

1. Security-of-supply obligations

Generators, transmission operators and governments may have duties to maintain reliable electricity supplies.

2. Emergency powers

Governments may obtain authority to direct generators or system operators during extraordinary circumstances.

3. Strategic reserves

Law can require strategic fuel or electricity reserves.

4. Supplier diversification

Regulation can discourage excessive dependence upon one foreign supplier.

5. Critical infrastructure protection

Electricity infrastructure can be designated as critical infrastructure and subjected to enhanced physical and cyber protections.

6. Foreign investment screening

Governments can scrutinise foreign acquisitions of strategically important electricity assets.

7. Mandatory risk assessments

System operators can be required to conduct regional, national and cross-border risk assessments.

11. Indian Legal Position

The Electricity Act, 2003 provides an important foundation for geopolitical risk governance in India. The Act covers generation, transmission, distribution, trading and use of electricity and establishes institutions including CEA, CERC, SERCs and load-dispatch organisations. (Indian Kanoon)

Particularly significant is Section 11, which permits the Appropriate Government, in extraordinary circumstances involving threats to the security of the State, public order, natural calamity or other public-interest circumstances, to direct a generating company to operate and maintain a generating station in accordance with governmental directions. (Indian Kanoon)

This is highly relevant to geopolitical risk modelling because a model can identify circumstances in which ordinary market mechanisms may be insufficient and extraordinary governmental intervention becomes necessary.

The Act also creates an integrated institutional architecture involving the National Load Despatch Centre, Regional Load Despatch Centres, State Load Despatch Centres and regulatory commissions. (Indian Kanoon)

12. Important Indian Case Law

A. PTC India Ltd. v. Central Electricity Regulatory Commission

The Supreme Court recognised the broad regulatory authority of CERC in relation to the integrated electricity grid. The Court observed that the Central Commission possesses plenary regulatory power concerning the grid, particularly because the grid is integrated and interconnected across multiple States. (Sci API)

Relevance

This principle is important for geopolitical risk modelling because geopolitical threats rarely respect State boundaries. A disruption in one part of an interconnected grid may create consequences elsewhere.

Therefore, electricity-security modelling should be conducted at the system level, rather than treating each State or utility as completely independent.

B. Power Grid Corporation of India Ltd. v. Century Textiles & Industries Ltd.

The Supreme Court recognised the public importance of electricity transmission infrastructure and the statutory powers associated with establishing transmission lines.

The Court emphasised that unobstructed access for electricity transmission infrastructure serves a larger public interest. (Indian Kanoon)

Relevance

Geopolitical risk models must account for the strategic importance of transmission corridors.

A transmission project can therefore have significance beyond ordinary commercial considerations because it can:

diversify supply;

strengthen regional connectivity;

reduce dependence on particular generation sources;

improve redundancy;

support national energy security.

C. Power Grid Corporation of India Ltd. v. Madhya Pradesh Power Transmission Co. Ltd. (2025)

The Supreme Court's 2025 decision concerned the statutory and regulatory architecture governing inter-State transmission and the respective powers under the Electricity Act, 2003. (Indian Kanoon)

Relevance

The case demonstrates the importance of clearly allocating institutional responsibility for transmission planning and regulation.

For geopolitical risk management, ambiguity between national and State-level institutions can itself become a vulnerability. Risk models should therefore identify:

who plans → who operates → who regulates → who intervenes during an emergency.

13. European Union Case Law

Polskie Sieci Elektroenergetyczne v. ACER, Case T-483/21

The EU General Court dealt with the internal electricity market, regional operational-security coordination and the methodology for capacity calculation. The case concerned ACER's role in approving a common methodology for regional operational security coordination. (BAILII)

Relevance

This case is particularly significant for geopolitical risk modelling because it demonstrates the legal importance of regional coordination.

An electricity system cannot adequately model geopolitical risk solely through national assessments where electricity flows across borders.

Commission v Belgium, Case C-767/19

The Court of Justice considered the requirements of EU electricity and gas market legislation concerning effective separation of transmission-network operation from generation and supply activities and the independence of national regulatory authorities. (EUR-Lex)

Relevance

Independent regulation matters to geopolitical risk modelling because risk assessments should not be distorted by the commercial interests of companies that own generation, supply and network assets.

14. WTO Dimension

Geopolitical electricity risk also intersects with international trade law.

In EU — Certain Measures Relating to the Energy Sector (DS476), Russia challenged aspects of the EU Third Energy Package, including unbundling requirements, certification of transmission-system operators controlled by persons from third countries, and third-party access to infrastructure. (Trade and Economic Security)

This demonstrates that electricity-security regulation can create tension between:

energy security;

market liberalisation;

foreign investment;

non-discrimination;

national security;

international trade obligations.

Consequently, a geopolitical risk model should include legal exposure, not merely physical and economic exposure.

15. Cyber-Geopolitical Risk

Modern electricity systems are increasingly digital.

A geopolitical risk model therefore needs to include:

SCADA systems;

protection systems;

smart meters;

grid-management software;

cloud services;

telecommunications;

supply-chain software;

remote-access systems.

A state-sponsored cyberattack could potentially produce effects similar to physical sabotage without physically destroying infrastructure.

The EU's current review of its energy-security framework specifically identifies cyber threats, physical infrastructure sabotage and climate-related risks as emerging challenges. (Energy)

16. Geopolitical Risk and Renewable Energy

Renewable electricity reduces dependence on imported fossil fuels but does not eliminate geopolitical risk.

Instead, some risks move upstream.

For example:

Fossil-fuel dependency → fuel geopolitics

may become:

Renewable-energy dependency → mineral + manufacturing + technology geopolitics.

Solar panels, batteries, wind turbines, power electronics, transformers and transmission equipment may depend on internationally concentrated manufacturing and mineral supply chains.

Therefore, electricity-security models should measure:

Total Geopolitical Exposure=Fuel Risk+Technology Risk+Mineral Risk+Infrastructure Risk+Cyber Risk\text{Total Geopolitical Exposure} = \text{Fuel Risk} + \text{Technology Risk} + \text{Mineral Risk} + \text{Infrastructure Risk} + \text{Cyber Risk}

17. Resilience Indicators

A sophisticated model should measure not merely vulnerability but resilience.

Important indicators include:

generation diversity;

fuel diversity;

supplier diversity;

geographical diversity;

storage capacity;

reserve margin;

demand-response capacity;

interconnector diversity;

domestic manufacturing capability;

spare-transformer inventories;

cyber redundancy;

black-start capability;

restoration time;

emergency procurement capability.

A country with several independent supply routes may be considerably more resilient than one with identical generation capacity concentrated in a single geopolitical corridor.

18. Legal Governance Model

An effective regulatory framework could operate through five stages:

Stage 1 — Identification

Identify geopolitical threats and critical dependencies.

Stage 2 — Quantification

Estimate probability, exposure and consequences.

Stage 3 — Stress Testing

Model extreme but plausible geopolitical events.

Stage 4 — Regulatory Intervention

Introduce:

diversification requirements;

strategic reserves;

infrastructure redundancy;

cybersecurity standards;

emergency powers;

procurement rules.

Stage 5 — Continuous Review

Geopolitical conditions change, so risk assessments must be periodically updated.

19. Emerging Legal Principle: Resilience as a Regulatory Objective

Traditional electricity regulation focused heavily on:

affordability;

efficiency;

competition;

reliability.

Geopolitical risk modelling adds another objective:

strategic resilience.

This means regulators may have to accept some additional cost in exchange for reduced exposure to catastrophic geopolitical disruption.

For example, maintaining spare transformers or multiple LNG supply routes may be economically inefficient under normal conditions but valuable during a geopolitical crisis.

The legal question therefore becomes:

How should regulators balance short-term economic efficiency against long-term strategic resilience?

20. Conclusion

Geopolitical risk modelling for electricity systems represents a shift from traditional reliability planning toward strategic, multidimensional resilience planning.

The model should integrate:

geopolitics + electricity engineering + economics + cybersecurity + infrastructure protection + international trade law + energy regulation.

Indian law already provides important foundations through the Electricity Act, 2003, including governmental emergency powers and an integrated grid-regulatory architecture. The Supreme Court's jurisprudence concerning CERC's regulatory authority and the public importance of transmission infrastructure reinforces the legal basis for treating electricity networks as interconnected public infrastructure. (Sci API)

At the international level, EU law demonstrates the increasing importance of regional risk assessment, cross-border cooperation and coordinated operational-security methodologies. (Energy)

Ultimately, the purpose of geopolitical risk modelling is not to predict precisely which geopolitical crisis will occur. Its purpose is to answer a more practical legal and regulatory question:

If a serious geopolitical disruption occurs, can the electricity system continue supplying essential consumers, and does the legal framework provide the institutions, powers and resources necessary to respond?

A mature electricity-security regime therefore treats geopolitical risk as a continuous regulatory planning problem, rather than an exceptional event considered only after a crisis begins.