Communication costs versus smart grid system performance for energy prosumers' participation in liberalized electricity markets: A trade-off analysis

Mamounakis, Ioannis; Vergados, Dimitrios J.; Makris, Prodromes; Varvarigos, Emmanouel

doi:10.23919/ursigass.2017.8104964

Cited by 2 publications

(2 citation statements)

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“…The limit of the battery power and of the capacity for energy storage in the battery are represented by ( 8) and ( 9), respectively. The expression (10) ensures that, on the same day of operation, the batteries' energy sum is null. The equation (11) guarantees that the power in the battery is less than the excess energy.…”

Section: First Stage -Operation Modeling For Consumers With Dersmentioning

confidence: 99%

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Contracting Strategy for Consumers With Distributed Energy Resources in the Liberalized Electricity Market

2022

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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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Section: First Stage -Operation Modeling For Consumers With Dersmentioning

confidence: 99%

“…Because of its potential to improve economic benefits to electricity consumers, interest in the liberalized electricity market has been increasing in the last few years [6], [9], [10]. The authors in [11] formulated a bilevel programming model for a generation company's long-term generation capacity investment decision.…”

Section: Introductionmentioning

confidence: 99%