Energy transformation and consumption improvements have enhanced the planning and
utilization of various energy sources. With the rapid expansion of integrated energy systems …

The increasing penetration of renewable energy in power grids introduces higher levels of
uncertainty, while current decision-making models typically favour either a risk-averse or risk …

A large portion of electricity demand in the world is delivered by microgrids (MGs). Operation
of MGs under the uncertainty of demands and renewable power is a hot research area. As …

Net load uncertainty in electricity spot markets is rapidly growing. There are five general
approaches by which system operators and market participants can use probabilistic …

Given the increasing prevalence of smart grids, the introduction of demand-side participation
and distributed energy resources (DERs) has great potential for eliminating peak loads, if …

This paper proposes a stochastic optimization model for generating the optimal price-maker
trading strategy for a wind power producer using virtual bidding, which is a kind of financial …

Future electricity generation systems must be optimized to provide flexibility that counteracts
the variability of non-dispatchable renewable energy sources and ensures the reliability and …

This paper proposes a bilevel stochastic optimization model for generating the optimal joint
demand and virtual bidding strategy for a strategic retailer in the short-term electricity market …

As more variable renewable energy (VRE) and energy storage (ES) facilities are installed,
accurate quantification of their contributions to system adequacy becomes crucial. We …

Two desirable properties of electricity market mechanisms include: 1) revenue adequacy for
the market, and 2) cost recovery for all generators. Previously proposed stochastic market …