1. Introduction

Electricity governance operates in an environment where regulators, utilities, generators, consumers, investors and governments must make decisions despite incomplete information. Two concepts are particularly important: risk and uncertainty.

Although the terms are sometimes used interchangeably, they have different meanings in regulatory theory.

Risk exists where possible future events can be identified and their probabilities can reasonably be estimated.

Uncertainty exists where future outcomes, their probabilities, or sometimes even the relevant possibilities cannot be reliably predicted.

This distinction matters because electricity systems involve long-lived infrastructure, fluctuating fuel prices, changing demand, renewable generation, extreme weather, technological innovation, cyber threats and changing government policies. Electricity regulators therefore need governance mechanisms capable of dealing both with calculable risks and unknown or difficult-to-quantify uncertainties.

Indian electricity jurisprudence illustrates this distinction particularly well through cases involving fuel-price changes, force majeure, change-in-law provisions, tariff adjustment and regulatory discretion.

2. Meaning of Risk in Electricity Governance

Risk refers to a situation where the potential adverse event is identifiable and its consequences can be assessed, at least approximately.

Examples include:

fuel-price volatility;

interest-rate changes affecting project financing;

forecast errors in electricity demand;

transmission congestion;

equipment failure;

fluctuations in renewable generation;

electricity-market price volatility;

contractual default; and

predictable regulatory compliance costs.

For example, a distribution company may know that electricity demand can fluctuate by 5–10% around its forecast. That is a risk because the potential variation can be modelled using historical information and statistical techniques.

Electricity regulation can therefore respond through:

insurance;

reserves;

hedging;

contingency provisions;

tariff adjustment mechanisms;

performance standards;

security deposits;

capacity requirements;

diversified procurement; and

contractual allocation of risk.

3. Meaning of Uncertainty

Uncertainty is broader than risk. It arises where the regulator or market participant cannot confidently assign probabilities to future events.

Examples include:

an entirely new electricity technology;

unprecedented climate conditions;

an unexpected regulatory intervention;

a novel cyberattack;

radical changes in electricity consumption;

unforeseen technological disruption;

uncertain future storage costs; or

an unprecedented breakdown of interconnected infrastructure.

Thus:

Risk can generally be measured; uncertainty must often be managed.

This distinction has major implications for electricity governance.

A regulator should not pretend that an uncertain event is capable of precise mathematical prediction merely because a numerical model is available.

4. Risk and Uncertainty: Key Differences

5. Risk Allocation in Electricity Governance

A central objective of electricity regulation is to determine who should bear a particular risk.

Possible risk bearers include:

generators;

transmission licensees;

distribution companies;

consumers;

governments;

lenders;

insurers; and

taxpayers.

For example, a Power Purchase Agreement (PPA) may provide that ordinary fuel-price fluctuations remain with the generator, while certain changes in law may permit tariff adjustment.

This allocation is important because transferring every risk to consumers can undermine consumer protection, while placing every risk on generators can threaten project viability and investment.

6. Uncertainty and Regulatory Flexibility

Uncertainty requires a somewhat different regulatory approach.

Suppose a regulator approves a transmission project expected to operate for 30 years. It is impossible to know with precision:

future electricity demand;

future renewable penetration;

future storage technology;

future network configuration;

future climate conditions; or

future electricity-market rules.

A rigid regulatory decision may therefore become inappropriate.

Modern electricity governance increasingly uses:

(a) Multi-year tariff frameworks

Long-term tariff frameworks provide stability while allowing periodic review.

(b) True-up mechanisms

Actual costs can subsequently be compared with approved costs.

(c) Pass-through mechanisms

Certain specified external costs can be passed through to consumers.

(d) Change-in-law clauses

These protect contractual parties from specified legal changes occurring after the contract.

(e) Force majeure provisions

These address extraordinary events falling within the contractual definition of force majeure.

(f) Scenario planning

Regulators can consider multiple possible futures rather than relying upon one forecast.

7. Case Law: Energy Watchdog v. CERC (2017)

One of the most important Indian electricity cases concerning risk and uncertainty is Energy Watchdog v. Central Electricity Regulatory Commission, decided by the Supreme Court in 2017.

The dispute involved increased coal prices and the consequences for power-generation PPAs. The generator sought relief based, among other things, on force majeure and change-in-law arguments.

The Supreme Court distinguished between events that actually qualify under the contractual/legal framework and ordinary commercial risks.

The Court rejected the proposition that an increase in the cost of imported Indonesian coal automatically constituted force majeure or frustration of the relevant PPAs. It also interpreted the contractual change-in-law provision as not extending to changes in Indonesian law merely because they increased the cost of coal. At the same time, the Court recognised the relevance of changes in Indian coal-allocation policy to the contractual framework. (Indian Kanoon)

Significance

The case demonstrates an important principle:

Not every unexpected economic development is legally equivalent to an uncontrollable uncertainty.

Commercial actors are normally expected to bear risks that their contracts allocate to them.

However, where an external legal or governmental event falls within an applicable change-in-law mechanism, the consequences may be different.

This is highly relevant to electricity governance because fuel markets are inherently volatile.

8. Risk Versus Force Majeure

Force majeure illustrates the difference between ordinary risk and exceptional uncertainty.

Consider three situations:

Situation 1: Normal fuel-price fluctuation

This is generally a commercial risk.

Situation 2: Extraordinary event expressly covered by the PPA

This may constitute contractual force majeure.

Situation 3: Completely unforeseen governmental intervention

Its treatment depends upon the contractual language and applicable law.

Therefore, the mere fact that an event was unexpected does not automatically mean that the legal system will transfer its consequences to consumers or regulators.

Energy Watchdog is particularly significant for this distinction. (Indian Kanoon)

9. Case Law: Tata Power v. Maharashtra Electricity Regulatory Commission

Electricity tariff regulation also demonstrates the relationship between uncertainty and regulatory review.

In proceedings involving Tata Power Company Ltd. v. Maharashtra Electricity Regulatory Commission, issues concerning multi-year tariff determination, truing-up and tariff methodology were considered by the Appellate Tribunal for Electricity.

The regulatory framework involved a control period, projected costs and subsequent examination of actual financial and operational information. (Indian Kanoon)

Significance

Multi-year tariff regulation attempts to balance two competing objectives:

Regulatory certainty

against

Changing real-world conditions.

If regulators changed tariffs every time circumstances changed, investors and consumers would face instability.

But if regulators never adjusted tariffs despite substantial differences between assumptions and actual conditions, the regulatory framework could become economically unrealistic.

Truing-up therefore functions as an adaptive governance mechanism.

10. Forecasting Risk in Electricity Demand

Demand forecasting is another classic example.

Suppose a distribution licensee forecasts electricity demand of 10,000 MW but actual demand becomes 11,000 MW.

The difference represents forecasting risk.

Governance mechanisms may address this through:

reserve margins;

procurement flexibility;

demand-response programmes;

ancillary services;

short-term markets; and

periodic revision of planning assumptions.

But if a completely new technology dramatically changes consumption patterns—for example, rapid electrification of transport or widespread distributed generation—the issue may move from ordinary forecasting risk toward deep uncertainty.

11. Renewable Energy and Uncertainty

Renewable electricity makes the distinction even more important.

Solar and wind generation depend upon weather conditions.

A particular weather forecast creates a measurable risk of generation deviation. However, long-term climate patterns may involve deeper uncertainty.

Governance therefore requires:

forecasting systems;

balancing markets;

storage;

flexible generation;

transmission expansion;

ancillary services;

curtailment rules; and

reserve capacity.

The objective is not to eliminate uncertainty—which is impossible—but to build a system capable of functioning despite it.

12. Regulatory Uncertainty

Regulatory uncertainty occurs when market participants cannot reasonably determine how government or regulatory institutions will behave in the future.

Examples include:

unpredictable tariff changes;

unclear renewable-energy obligations;

inconsistent licensing requirements;

sudden subsidy changes;

unclear environmental requirements; and

inconsistent interpretation of PPAs.

Excessive regulatory uncertainty can increase the cost of capital.

Investors may demand higher returns because they cannot accurately estimate future regulatory conditions.

Consequently, electricity law values:

transparency;

procedural fairness;

predictable rules;

reasoned orders;

consultation;

statutory consistency; and

judicial review.

13. Case Law: Tata Power Delhi Distribution Ltd. v. DERC

The Appellate Tribunal for Electricity has repeatedly considered disputes involving tariff determination, regulatory methodology and renewable-energy mechanisms in proceedings involving Tata Power Delhi Distribution Ltd. and the Delhi Electricity Regulatory Commission.

For example, in a 2019 group of appeals, issues included tariff determination, renewable-energy mechanisms and the application of regulatory requirements. (Indian Kanoon)

These cases demonstrate that electricity governance involves continuing regulatory supervision rather than merely one-time governmental decisions.

This is important because electricity markets are dynamic and assumptions underlying regulatory decisions may change over time.

14. Precautionary Governance Under Uncertainty

Where probabilities cannot reliably be calculated, regulators may adopt a precautionary approach.

The precautionary principle is particularly relevant where electricity infrastructure creates potentially serious environmental or public-safety consequences.

For example, decisions concerning:

nuclear facilities;

large dams;

hazardous transmission infrastructure;

pollution-intensive generation; and

energy-storage technologies

may involve consequences that cannot be completely predicted.

The regulator may therefore require safety margins and monitoring even where the probability of a particular catastrophic event cannot be precisely calculated.

15. Risk Management Versus Uncertainty Management

Risk management

Risk management generally involves:

identifying the risk;

estimating probability;

estimating consequences;

allocating responsibility;

reducing exposure; and

monitoring outcomes.

Uncertainty management

Uncertainty management involves:

identifying multiple possible futures;

avoiding irreversible mistakes;

maintaining institutional flexibility;

developing contingency plans;

monitoring emerging information;

periodically revising decisions; and

maintaining resilience.

Thus, risk management is primarily probability-oriented, whereas uncertainty management is resilience-oriented.

16. Importance for Electricity Regulators

Electricity regulators should avoid two opposite errors.

Error 1: Treating every uncertainty as ordinary risk

This may result in excessive confidence in forecasting models.

Error 2: Treating every risk as unknowable uncertainty

This may undermine contractual responsibility and allow parties to escape risks they knowingly accepted.

The correct regulatory approach is to determine:

What was reasonably foreseeable, what was contractually allocated, what could be measured, and what genuinely falls outside existing regulatory assumptions?

The Energy Watchdog judgment is particularly useful in illustrating this distinction. (Indian Kanoon)

17. Role of PPAs

Power Purchase Agreements are important instruments for converting uncertainty into legally allocated risk.

A PPA may specify:

fuel risk;

inflation risk;

currency risk;

force majeure;

change in law;

transmission risk;

payment risk;

curtailment risk;

termination rights; and

tariff-adjustment mechanisms.

Clear drafting reduces uncertainty because parties know in advance how particular events will be treated.

However, contractual certainty cannot completely eliminate external uncertainty.

18. Risk Pooling and Electricity Markets

Electricity markets also manage risk collectively.

For example:

balancing markets pool deviations;

reserve markets provide reliability;

insurance distributes financial losses;

capacity mechanisms address adequacy risks;

transmission networks diversify supply;

electricity exchanges facilitate short-term procurement.

This means electricity governance does not simply ask "Who caused the risk?"

It also asks:

Which institutional mechanism can absorb and distribute the risk at the lowest systemic cost while maintaining reliability and consumer protection?

19. Adaptive Regulation

Adaptive regulation is particularly important where uncertainty is high.

Instead of establishing an inflexible rule for decades, regulators may:

establish an initial framework;

monitor outcomes;

collect data;

identify emerging risks;

conduct periodic reviews; and

modify the framework when legally permissible.

Multi-year tariff regulation, true-up mechanisms and periodic regulatory proceedings illustrate this general model in electricity regulation. The Appellate Tribunal's electricity jurisprudence contains numerous disputes concerning such regulatory adjustments. (Indian Kanoon)

20. Conclusion

The distinction between risk and uncertainty is fundamental to electricity governance.

Risk concerns identifiable future events whose probability and consequences can generally be estimated. It can therefore be addressed through contractual allocation, insurance, hedging, reserves, tariff mechanisms and market instruments.

Uncertainty, by contrast, concerns situations in which future events or their probabilities cannot be reliably predicted. It requires flexibility, precaution, scenario planning, resilience and adaptive regulation.

Indian electricity jurisprudence demonstrates that courts and regulators do not automatically transfer every unexpected cost to consumers. In Energy Watchdog v. CERC, the Supreme Court carefully examined contractual allocation, force majeure and change-in-law provisions rather than treating every increase in coal costs as an extraordinary legal event. (Indian Kanoon)

The broader lesson is that effective electricity governance requires a dual framework: measurable risks should be allocated and managed efficiently, while genuine uncertainty should be addressed through flexible, transparent and resilient institutions. This approach helps reconcile investment certainty, electricity affordability, system reliability, contractual stability and public interest without assuming that the future can always be predicted accurately.