Advanced metering infrastructure (AMI) is considered to be the first step in constructing smart grid. AMI allows customers to make real-time choices about power utilization and enables power utilities to increase the effectiveness of the regional power grids by managing demand load during peak times and reducing unneeded power generation. These initiatives rely heavily on the prompt information...

Next-generation power grids will likely enable concurrent service for residences and plug-in electric vehicles (PEVs). While the residence power demand profile is known and thus can be considered inelastic, the PEVs’ power demand is only known after random PEVs’ arrivals. PEV charging scheduling aims at minimizing the potential impact of the massive integration of PEVs into power grids to save ...

The short term hydrothermal scheduling (STHTS) is a daily planning proposition in power system operation. The main purpose of hydro thermal generation scheduling is to minimize the overall operation cost and to satisfy the given constraints by scheduling optimally the power outputs of all hydro and thermal units under study periods, given electrical load and limited water resource. This paper p...

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 ...

The problem of determining the optimal hourly generation in hydrothermal power plants and total thermal generation is studied. A multi reservoir cascaded hydro-electric system with a non-linear relationship between water discharge rate, net head and power generation is considered. PSO technique has been motivated by the behavior of the organisms such as fish schooling and bird flocking. The ind...

This paper deals with low-energy code generation for a highly optimized digital signal processor designed for mobile communication applications. We present a genetic algorithm based code generator (GCG), and an instruction-level power model for this processor. Our code generator is capable of reducing the power dissipation of target applications by means of two techniques: First, GCG minimizes ...

Integrated resource planning has been performed by electric companies, because of its multifarious benefits in power system operation. Demand Response Resources (DRRs) can be used as a virtual demand side power plant. DRRs are clustered to IncentiveBased Programs (IBPs) and Time-Based Rate Programs (TBRPs). Precise modeling of DRRs helps the system operator to investigate the impact of responsi...

Some engineering optimization problems, such as multi-objective daily generation scheduling for the hydropower stations, the objective functions has obvious hierarchy and priority, simultaneously, the constraints is very complex. It is difficult to solve the operation problems by adopting traditional optimal technique. In this paper, a new particle swarm optimization algorithm solving hierarchy...

With increased attention of renewable energy, a large number of photovoltaic (PV) power generators are expected to be installed into power systems in Japan. In this situation, we consider a problem to make an appropriate schedule on the following day based on the prediction of demand and PV power generation. Since the PV/demand prediction includes nonnegligible uncertainty, we need to devise a ...