Green-Aware Token Based Demand Scheduling for Electricity Markets

Stochastic Optimization of Demand Response Aggregators in Wholesale Electricity Markets

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...

Prediction Markets To Forecast Electricity Demand∗

Forecasting electricity demand for future years is an essential step in resource planning. A common approach is for the system operator to predict future demand from the estimates of individual distribution companies. However, the predictions thus obtained may be of poor quality, since the reporting incentives are unclear. We propose a prediction market as a form of forecasting future demand fo...

Demand Management in Restructured Wholesale Electricity Markets

Game-theory-based generation maintenance scheduling in electricity markets

This paper presents a novel approach to the (generation maintenance scheduling) GMS problem in electricity markets. The main contribution of this study is the modeling of a coordination procedure for an (independent system operator) ISO, based on a game-theoretic framework for the GMS problem. The GMS process of generation companies (Gencos) is designed as a non-cooperative dynamic game, and th...

New Demand Response Framework and Its Applications for Electricity Markets

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