In this paper, impacts of day-ahead market pricing on behavior of producers and consumers in option and day-ahead markets and on option pricing are studied. To this end, two comprehensive equilibrium models for joint put option and day-ahead markets under pay-as-bid and uniform pricing in day-ahead market are presented, respectively. Interaction between put option and day-ahead markets, uncerta...

in this paper, a stochastic two-stage model is offered for optimization of the day-ahead scheduling of the microgrid. system uncertainties including dispatchable distributed generation and energy storage contingencies are considered in the stochastic model. for handling uncertainties, monte carlo simulation is employed for generation several scenarios and then a reduction method is used to d...

Abstract Thermostatically controlled loads (TCLs) are regarded as having potential to participate in power grid regulation. This paper proposes a scheduling strategy with three-stage optimization for regional aggregators jointly participating day-ahead support demand response. The first stage is on the profit of and peak load grid. line loss voltage deviation regulation considered ensure stable...

The high penetration of renewable energy brings great challenges to power system operation and scheduling. In this paper, a multi-timescale coordinated method for source-grid-load is proposed. First, the characteristics wind forecasting demand response (DR) resources are described, framework presented under multi-timescale. Next, economic scheduling models based on DR network constraints establ...

This paper aims to propose a two-step approach for day-ahead hourly scheduling in a distribution system operation, which contains two operation costs, the operation cost at substation level and feeder level. In the first step, the objective is to minimize the electric power purchase from the day-ahead market with the stochastic optimization. The historical data of dayahead hourly electric power...

Day-ahead scheduling of isolated nanogrid (NG) is an important task in power system. Owing to slowly lessening fossil fuel, the profitable use available fuel for electric generation has turn out be extremely concern utilities. This paper suggests horse herd optimization algorithm (HOA) solve constrained day-ahead five neighboring homes. NG comprises diesel generators, solar PV plants, battery e...