The two-way communication of electricity and information in smart homes facilitates the optimal management devices with ability to charge discharge, such as electric vehicles electrical storage systems. These can be scheduled considering domestic renewable energy units, consumption householders, tariff grid, other predetermined parameters order improve their efficiency also technical economic i...

This paper proposes a probabilistic optimization method that produces optimal bidding curves to be submitted by an aggregator to the day-ahead electricity market and the intraday market, considering the flexible demand of his customers (based in time dependent resources such as batteries and shiftable demand) and taking into account the possible imbalance costs as well as the uncertainty of for...

We consider a set of users served by a single load-serving entity (LSE). The LSE procures capacity a day ahead. When random renewable energy is realized at delivery time, it manages user load through real-time demand response and purchases balancing power on the spot market to meet the aggregate demand. Hence optimal supply procurement by the LSE and the consumption decisions by the users must ...

As microgrids have gained increasing attention over the last decade, more and applications emerged, ranging from islanded remote infrastructures to active building blocks of smart grids. To optimally manage various microgrid assets towards maximum profit, while taking into account reliability stability, it is essential properly schedule overall operation. that end, this paper presents an optima...