Abstract
The rapid growth of distributed energy resources (DERs) and the new trends related to the electricity market can represent economic advantages for consumers; nevertheless, these trends can bring economic risks, such as high prices when contracting, and the inability to forecast information related to offers and demand. A contracting strategy is essential to minimize possible financial losses due to consumer exposure in the liberalized electricity market. This paper proposes a contracting strategy based on consumption forecasting and a pricing methodology to optimize the contract portfolio for consumers with DERs. A consumer with a photovoltaic system and battery storage system has been considered to model the contracting strategy through a mathematical programming approach developed in four stages; the first and second stages are nonlinear programming problems, the third stage is linear programming problem, and the last stage is mixed-integer linear programming problem. The results of the case study, considering a real consumer with and without DERs, show that the strategy successfully minimized consumer exposure in the electricity market, since with operation of DERs was reduced by 45.8% the energy consumption from the main grid and by 49.7% the need for contracting, optimizing the average price of the contract portfolio and making it possible to determine an optimal contracting strategy.
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