Insurance Contract for High Renewable Energy Integration
Dongwei Zhao, Hao Wang, Jianwei Huang, Xiaojun Lin

TL;DR
This paper proposes a contract-theoretic approach to designing insurance for renewable energy users, jointly optimizing insurance and renewable planning to reduce social costs and improve reliability amid renewable variability.
Contribution
It introduces a novel joint optimization framework for insurance contracts and renewable energy planning, addressing private user preferences and non-convex problem challenges.
Findings
Optimal insurance contracts reduce social and user costs.
Benefits are maximized at medium electricity prices with low user heterogeneity.
The approach outperforms no-insurance benchmarks.
Abstract
The increasing penetration of renewable energy poses significant challenges to power grid reliability. There have been increasing interests in utilizing financial tools, such as insurance, to help end-users hedge the potential risk of lost load due to renewable energy variability. With insurance, a user pays a premium fee to the utility, so that he will get compensated in case his demand is not fully satisfied. A proper insurance design needs to resolve the following two challenges: (i) users' reliability preference is private information; and (ii) the insurance design is tightly coupled with the renewable energy investment decision. To address these challenges, we adopt the contract theory to elicit users' private reliability preferences, and we study how the utility can jointly optimize the insurance contract and the planning of renewable energy. A key analytical challenge is that the…
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Taxonomy
TopicsElectric Power System Optimization · Smart Grid Energy Management · Energy, Environment, and Transportation Policies
