2020
DOI: 10.1016/j.apenergy.2020.115728
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Designing a regulatory tool for coordinated investment in renewable and conventional generation capacities considering market equilibria

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Cited by 12 publications
(2 citation statements)
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“…(Aryani et al, 2021) developed a bi-level robust regulatory model to analyze generation companies' investment response to various regulatory decisions or players' behaviors, including capacity markets, subsidies or uncertainty. A similar model was used in (Aryani et al, 2020), to investigate capacity and energy payments for conventional and renewable generations, necessary to achieve targets for adequacy and emission reduction. (Mcrae & Wolak, 2019) developed the equilibrium model to analyze reliability payment instruments in the Colombian electricity market, demonstrating the shortfalls of this design to minimize the cost of meeting electricity demand and reduce market power exercise.…”
Section: Capacity Remuneration Mechanismsmentioning
confidence: 99%
“…(Aryani et al, 2021) developed a bi-level robust regulatory model to analyze generation companies' investment response to various regulatory decisions or players' behaviors, including capacity markets, subsidies or uncertainty. A similar model was used in (Aryani et al, 2020), to investigate capacity and energy payments for conventional and renewable generations, necessary to achieve targets for adequacy and emission reduction. (Mcrae & Wolak, 2019) developed the equilibrium model to analyze reliability payment instruments in the Colombian electricity market, demonstrating the shortfalls of this design to minimize the cost of meeting electricity demand and reduce market power exercise.…”
Section: Capacity Remuneration Mechanismsmentioning
confidence: 99%
“…Even with participation in reserve or flexibility markets, a capacity mechanism seems necessary for investment recovery. Thus, reference [22] presents a model to set capacity-and energy-based incentives to match revenues and expenses for storage and applies it to a test system. References [17,23] propose additional revenues from capacity mechanisms and flexibility markets to reach the optimal amount of storage.…”
Section: Introductionmentioning
confidence: 99%