abstract: enviromental concerns, improvements in renewable energy technologies, governmental incentives for the use of these resources, and increased t&d; costs, are the main factors driving the energy sector into a new era, where considerable portions of electrical demand will be met through widespread installation of distributed energy resources (ders). the virtual power plant (vpp) is a dece...

The profit based unit commitment problem involves determining the time intervals at which a particular generating unit should be online and available for generation, and the associated generation or dispatch, the aim being to maximize its total profits based on a given price profile. This problem can be attacked by various techniques like single unit dynamic programming, lagrangian relaxation, ...

The solution of single-objective unit commitment problems for generation companies participating in deregulated markets may not directly be implementable mainly because of neglecting some conflicting secondary objectives arising from policy-making at internal/external environment. Benefiting an efficient multi-objective approach to improve the applicability of price-based unit commitment soluti...

In this paper, a local predictor approach based on proven powerful regression algorithm which is support vector regression (SVR) combined with space reconstruction of time series is introduced. In addition, real value genetic algorithm (GA) has been utilized in the proposed method for optimization of the parameters of the SVR. In the proposed approach, the embedding dimension and the time delay...

Market based valuation of generation assets is a critical problem in competitive power markets. Previous approaches to this problem has included modeling the cash flow from a generator as a spread option between electricity and fuel prices, which ignores the effect of flexibility and startup costs. Simulation based approaches with full unit commitment constraint have been presented, but they ar...