The use of photovoltaic (PV) generation forecasts in economic load dispatching control (EDC), which includes the unit commitment (UC) of conventional power plants, is essential to ensure the economic performance and the reliability of power systems. In the previous study, we developed a day-ahead charge and discharge scheduling method of battery energy storage systems (BESSs) based on interval ...

Microgrid (MG) is a small-scale grid that consists of multiple distributed energy resources and load demand. The microgrid management system (M-EMS) the decision-making centre MG. An M-EMS composed four modules which are known as forecasting, scheduling, data acquisition, human-machine interface. However, forecasting scheduling considered major from among them. Therefore, this paper proposed an...

Aiming at the independent AC/DC microgrid, a simple and effective multi time scale control strategy is proposed by adopting combination of day ahead scheduling real-time control. The takes minimum operation cost microgrid as goal, schedules controllable loads in with particle swarm optimization, which makes full use renewable energy. controls output distributed generation, load reduction switch...

This paper proposes an adaptive real-time energy scheduling method (RT-EMS) for a microgrid, using Lyapunov optimization-based approach. Inaccuracy in day-ahead predictions can result non-optimal solutions to the problem. Although optimization eliminates need deal with prediction uncertainties, it ignores valuable statistical information used stochastic approaches and provides suboptimal The pr...

Escalating stratums of breeze vigor, which is variable, difficult to predict accurately, and escalating connected via power electronic converters, are changing how electricity grids are planned, designed, and operated. . Systems with high breeze penetration are also experiencing dramatic changes to the operating regimes of conventional resources to areas with large loads. Optimal diminutive-ten...

This paper proposes a scheduling method of dual ESSs (Energy Storage Systems) for the purpose reducing peak load when there are sudden loads or generation changes during on-peak time. The first ESS is scheduled once day based on day-ahead prediction, and second every 15 min time short-term prediction by LSTM (Long Short-Term Memory). Special attention paid to training using augmented past data ...

Recently, energy procurement by renewable sources has increased. In particular, as solar power generation a high penetration rate among them, radiation predictions at the site are attracting much attention for efficient operation. Various approaches have been proposed to forecast accurately. hybrid models improve performance through forecasting in frequency domain using past radiation. Since da...

This paper outlines the fundamental features of the PJM day-ahead energy market and real-time energy market. The Day-ahead market is based on a voluntary least-cost security constrained unit commitment and dispatch with several fundamental design features that ensure the market is robust and competitive. This market offers market participants the option to lock in energy and transportation char...