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The impacts of price responsiveness on strategic equilibrium in competitive electricity markets

handle: 20.500.14243/40282 , 11583/1649068 , 11579/25663
One of the most important aspects that may affect market welfare is that related to the low demand responsiveness to price. This situation may greatly impact the market performance causing low efficiency, high prices and a disproportional allocation of surpluses. The structure of electricity markets is usually oligopolistic; producers may bid prices higher than their marginal costs to the short run wholesale market, inducing outcome deviations from the perfect competitive benchmark. The possibility of gaming the market is amplified in the presence of low demand responsiveness to price. This paper proposes a model to assess the role of demand elasticity in mitigating the effects of supply side strategic bidding behavior. We model the supply side in a conjectural supply function (CSF) framework, which allows incorporation of exogenous changes in demand elasticity and different levels of competition in a given market. The impacts of demand responsiveness on the market performances are assessed through a set of proposed indices that are applied to a model of the Italian market.
Competitive wholesale market; Demand elasticity; Strategic bidding, Simulation
Competitive wholesale market; Demand elasticity; Strategic bidding, Simulation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).24 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
