In this paper, we propose a new real-time retail
pricing model characterized by ex-post adjustments to exante
price, and investigate the stability and efficiency properties of
the ensuing closed loop system. Under this pricing mechanism,
electricity is priced at the exante price (calculated based on
predicted demand) up to the amount consumed at the previous
time period. Any deviation of the demand from the previous time
period is penalized or reimbursed at the ex-post price (calculated
based on actual demand, after consumption). It is assumed
that the exante and ex-post prices are calculated based on the
aggregate consumption of the population. Therefore, although an
individual consumer is a price-taker, he might adjust his behavior
strategically based on the mean consumption of the population.
Within this class of pricing mechanisms we investigate the social
welfare and price stability properties. Simulation is used to show
that the approximate dynamics with individual-mass interaction
has better stability and robustness properties than pure exante
pricing.
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In this paper, we propose a new real-time retail
pricing model characterized by ex-post adjustments to exante
price, and investigate the stability and efficiency properties of
the ensuing closed loop system. Under this pricing mechanism,
electricity is priced at the exante price (calculated based on
predicted demand) up to the amount consumed at the previous
time period. Any deviation of the demand from the previous time
period is penalized or reimbursed at the ex-post price (calculated
b...
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