2017
DOI: 10.1016/j.segan.2017.09.004
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Electricity market policies for penalizing volatility and scheduling strategies: The value of aggregation, flexibility, and correlation

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Cited by 17 publications
(16 citation statements)
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“…In the present situation, the electricity grid is distributed and better communicated, and the flow takes place in two directions -between intelligent generators and smart consumers. 17…”
Section: Social Environmentmentioning
confidence: 99%
“…In the present situation, the electricity grid is distributed and better communicated, and the flow takes place in two directions -between intelligent generators and smart consumers. 17…”
Section: Social Environmentmentioning
confidence: 99%
“…Intermediaries or "aggregators", as reported in literature, are defined as all those subjects facilitating the DR operation among consumers. Moreover, they have to provide a higher flexibility and, by that flexibility, they are able to optimize their activities [25,[33][34][35][36][37], in accordance with the logical pathway of Figure1. Thus, the aggregator is a service provider combining, on request, a plurality of energy consumption units, or rather consumption and production units, to sell or to auction off them in the energy markets.…”
Section: Methodsmentioning
confidence: 93%
“…The results are empirical, based on a real aggregator's business, showcasing the three different revenue streams, and no optimization problem is studied. Moreover, our previous work in [15] studies the ESP's participation in both day-ahead and balancing markets and tries to optimally adapt the ESP's strategy towards maximizing its profits (or else maximizing the value of flexibility and the value of aggregation). However, in the present work, we formulate the problem in a completely different way and we also take into consideration the W in the optimization problem.…”
Section: Related Workmentioning
confidence: 99%
“…The gradients of the two aforementioned functions are given in (14) and (15). These are calculated numerically using the Gradient function of the numdifftools package [33], using a step of 0.001.…”
Section: Optimal Frtpmentioning
confidence: 99%