Since the emergence of power market, the target of power generating utilities has mainly switched from cost minimization to revenue maximization. They dispatch their power energy generation units in the uncertain environment of power market. As a result, multi-stage stochastic programming has been applied widely by many power generating agents as a suitable tool for dealing with self-scheduling...

In this paper, an optimal scheduling of thermal and wind power plants is presented by using a stochastic programming approach to cover the uncertainties of the forecasted generation of wind farms. Uncertainties related to wind forecast error, consequently wind generation outage power and also system load demand are modeled through scenario generation. Then, with regard to day-ahead and real-tim...

this paper classifies green envelopes as green roofs and green walls according to effective factors, which were derived from literature to compare the green envelopes’ thermal and energy performance in a more effective way. for this purpose, an extensive literature review was carried out by searching keywords in databases and studying related journal papers and articles. the research method for...

Seasonal thermal energy storage systems (STESSs) can shift the delivery of renewable sources and mitigate their uncertainty problems. However, to maximize operational profit STESSs ensure long-term profitability, control strategies that allow them trade on wholesale electricity markets are required. While for have been proposed before, none addressed market interaction trading. In particular, d...

We analyze different optimization strategies for real-time energy management in building systems. We have found that exploiting building-wide multivariable interactions between CO2, humidity, pressure, occupancy, and temperature leads to significant reductions of energy intensity. Our analysis indicates that it is possible to obtain energy savings of more than 50% compared with traditional cont...

As an active participant of a competitive energy market, the generator (the energy supplier) challenges new management decisions being exposed to the financial risk environment. There is a strong need for the decision support models and tools for energy market participants. This paper shows that the stochastic short-term planning model can be effectively used as a key analytical tool within the...

this paper demonstrates a method to how reserve capacity and cost allocation could be determined in a pool-based and disaggregated market model. the method considers both the spinning reserve and interruptible loads as the operating reserve services. in the proposed market, generators and consumers (including participation of interruptible loads) submit offers and bids to the independent system...

in order to improve the reliability of the power system, sufficient amount of new capacity should be installed in the network. usually generation units’ payoff in an energy market is not adequate to cover their expenses. therefore, energy only market cannot induce investors to invest in generation field. due to energy only market inefficiency, a supplementary algorithm is suggested to cover the...