Titlebook: Virtual Power Plants and Electricity Markets; Decision Making Unde Luis Baringo,Morteza Rahimiyan Textbook 2020 Springer Nature Switzerland

相互影響

Expansion Planning of Virtual Power Plants,nistic model that disregards uncertainties. This deterministic model is extended to account for uncertainties using a scenario-based two-stage stochastic programming model. Finally, the profit risk associated with the investment decisions is modeled using the conditional-value-at-risk.

CANE

細(xì)胞膜

Virtual Power Plants,1.2 describes the basic organization of current electricity markets. Section 1.3 explains the strong relationship between VPPs and smart grids. Section 1.4 provides an overview of decision-making problems under uncertainty, including stochastic and robust optimization problems. Section 1.5 reviews t

小木槌

Virtual Power Plant Model,ower plants, stochastic renewable generating units, and energy storage facilities. These components can be interconnected in an electric network, which is also modeled in this chapter. The joint modeling of all these components constitutes the basic model for a VPP, which will be used in the followi

脾氣暴躁的人

CEDE

Mitigate

optic-nerve

Price-Maker Virtual Power Plants,nergy and reserve electricity markets. These mathematical models allow price-maker VPPs to influence the prices in these markets to their own benefit, i.e., the proposed models allow VPPs to exercise market power. Uncertainties in market prices, production levels of stochastic renewable generating u

Abjure

Ornithologist

Textbook 2020rkets. The chapters address in-depth, topics such as: optimization, market power, expansion, and modelling uncertainty in operation and planning problems of virtual power plants. The book provides an up-to-date description of decision-making tools to address challenging questions faced by virtual po