Research framing
Kerala's power system.
Diagnose before prescribing.
The study separates source-reported evidence from reconstruction and screening, then asks which mechanisms make Kerala vulnerable during difficult hours.
Why diagnosis first?
A capacity plan is useful only if it targets the constraint that actually binds.
Annual energy, evening peaks, reservoir timing, interstate transfer and internal transmission can describe different failure mechanisms. The study therefore diagnoses them separately before considering interventions.
Official broad electricity consumption in FY2024–25, up from 22.54 TWh in FY2020–21.
Annual state statistics; boundary retained.A weather-sensitive hourly chronology built while conserving observed daily energy on 354 days.
Proxy, not telemetry or a day-ahead forecast.Modeled unserved-energy reduction in one reference case when the same daily hydro energy can move within the day.
Hydro timing experiment; not an operating prescription.The public network screen highlights the same geographic area that CEA independently identifies as constrained.
Location corroborated; exact loading magnitude is not operator validation.Research questions
Six questions, in a deliberate order.
The first five diagnose the present system. The sixth asks what should be tested next.
How has the electricity balance changed?
Demand growth, internal generation and electricity arriving from outside Kerala are kept in their own official accounting boundaries.
Annual energy problem or difficult-hour problem?
Chronology, peak timing and weather-sensitive demand are reconstructed because annual MWh alone cannot show when supply and demand fail to coincide.
How valuable is hydro flexibility?
Counterfactual experiments hold hydro energy fixed and change only when it can be used.
How vulnerable is Kerala to external supply?
Current transfer capability and price boundaries are separated from synthetic transfer-stress cases.
Can statewide balance hide internal constraints?
A public multibus screen tests whether line/corridor stress survives radically different interstate-injection allocations.
Which responses deserve deeper study?
Hydro operation, demand flexibility, storage, targeted reinforcement and new supply are candidate mechanisms, not a finished portfolio.
Study logic
Evidence ladder, not one giant model.
Each layer answers only the question its data can support. Higher sophistication is admitted only when the underlying evidence exists.
Evidence hierarchy
Observation, reconstruction, screening and hypothesis are kept separate.
| Tier | Meaning | Examples here | What it cannot prove |
|---|---|---|---|
| Observed / source-reported | Published official or first-party value. | Annual consumption, SLDC daily energy, CEA ATC, project budgets. | That every source shares the same boundary or remains current forever. |
| Derived | Transparent arithmetic or transformation tied to observed data. | Matched-date trends, hourly shape with daily-energy conservation. | That the unobserved physical state was directly measured. |
| Screening / sensitivity | Counterfactual result under stated assumptions. | Hydro timing, ATC stress, candidate expansion, network flow screen. | Operator-grade loading, probability of outage or least-cost investment. |
| Candidate response | Mechanism worth deeper testing. | BESS, PSP, flexible demand, reinforcement, new supply. | Optimality, project feasibility or policy recommendation. |