this paper proposes a stochastic framework for demand response (dr) aggregator to procure dr from customers and sell it to purchasers in the wholesale electricity market. the aggregator assigns fixed dr contracts with customers based on three different load reduction strategies. in the presented problem the uncertainty of market price is considered and the risk of aggregator participation is ma...

This article argues that competitive electricity markets are prone to the same cycles of boom and bust that appear in commodity markets and in a specialized industry like real estate. The article then demonstrates how boom and bust might appear in the western electricity system using computer simulation. A “business as usual” simulation shows that the west might be at the crest of a building bo...

In the restructured electricity industry, electricity pooling markets are an oligopoly with strategic producers possessing private information (private production cost function). We focus on pooling markets where aggregate demand is represented by a non-strategic agent. We consider demand to be elastic. We propose a market mechanism that has the following features. (F1) It is individually ratio...

Efforts to reduce energy use and environmental damage in China require an understanding of the rapidly rising demand for energy. Household use of fuels, electricity and gasoline has changed dramatically in response to rising incomes, changing prices and changing demographics. We estimate income and price elasticities for these energy types using a two-stage budgeting method, applying the AIDS m...

Competitive electricity markets which rely on centralized dispatch require a mechanism to solicit offers from competing generators. Ideally, such an auction mechanism provides incentives to submit offers equal to the marginal cost of generation for each generator. Economic theory suggests that the Uniform Price auction is an appropriate institution. However, an efficient implementation of this ...

Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. This paper evaluates the …rst program to expose residential consumers to hourly real-time pricing (RTP). I …nd that enrolled households are statistically signi…cantly price elastic and that consumers responded by conserving energy during peak hours, but...

The literature has earlier examples that pointed out the weaknesses in traditional Monte Carlo simulations in modelling electricity prices. For example, Lucia and Schwartz (2002) applied EVT to electricity prices to assess the level of tail fatness in series followed by comparison of the Monte Carlo simulation results based on Gaussian and student-t distributions. Their simulation results impro...

This paper presents several techniques for recovering cost function estimates for electricity generation from a model of optimal bidding behavior in a competitive electricity market. Two techniques are developed based on different models of the price-setting process in a competitive electricity market. The first assumes that the firm chooses the price that maximizes its realized profits given t...

This work discusses the process of price formation for electrical energy within an auction–like trading environment. Calculating optimal bid strategies of power producers by equilibrium arguments, we obtain the corresponding electricity price and estimate its tail behavior.

The study aims at estimating reductions in energy penalty costs of a CO2 capture plant by exploiting price volatility in the electricity markets. The policy implication of this reduced abatement cost could be an increased penetration of Carbon Capture and Storage (CCS) in the future. 'Dispatchable CCS' offers the plant operator the option to choose a desired CO2 capture operating condition base...