Browsing by Author "Henrí­quez Auba, Rodrigo Martí"

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    Participation of Demand Response Aggregators in Electricity Markets: Optimal Portfolio Management
    (2018) Henrí­quez Auba, Rodrigo Martí; Wenzel Acuña, George Alfons; Olivares Quero, Daniel; Negrete Pincetic, Matías Alejandro
    Demand response (DR) is a versatile way of providing flexibility in power systems. In order to manage the flexibility of a large number of scattered DR resources, in the context of electricity markets, they must be aggregated by a new participant called the DR aggregator. This paper presents an optimization model to determine the optimal operation of a DR aggregator that manages a portfolio of DR programs in wholesale electricity markets. The aggregator is considered to be a strategic participant in the real-time market. The portfolio is composed of various contracts of load curtailment and flexible loads that can be executed for hourly load change. Uncertainty of market prices and balancing requirements are represented through a set of scenarios based on historical data. The proposed model is a stochastic bi-level mathematical program that is reformulated as a mixed-integer linear program. Several case studies with numerical results are presented.
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    Portfolio Design of a Demand Response Aggregator With Satisficing Consumers
    (2019) Salah, F.; Henrí­quez Auba, Rodrigo Martí; Wenzel Acuña, George Alfons; Olivares Quero, Daniel; Negrete Pincetic, Matías Alejandro; Weinhardt, C.
    This paper studies the impact of consumer behavior on the portfolio design of a demand response (DR) aggregator. Consumer behavior is modeled using elements of satisficing theory. We develop an optimization model to decide the optimal portfolio of DR contracts for an aggregator participating in the electricity market. In our model, the aggregator must pay a premium to enable the participation of consumers who have a certain aspiration threshold, below which they will not participate. Thus, the proposed model determines the premiums to be offered to consumers in order to obtain a DR portfolio that maximizes the aggregators operating surplus while satisfying the aspirations of participating consumers. Several simulations are performed to obtain insights on the value of the DR resource, and the importance of parameters used to model the consumer behavior.