Spatio-temporal arbitrage using energy storage systems reduces the cost of operating a power system. However, since the cost of deploying storage is significant, it is essential to determine the optimal locations and ratings of these systems. This paper proposes a stochastic storage siting and sizing method that determines the optimal locations and ratings. This is first done from a centralized...

The dissertation focuses on the study of environmental policies and their impacts on the power systems’ planning. It consists of three parts, each of which addresses a single problem on environmental policies and generation expansion planning. In the first part of the dissertation, I compared the capand-trade policy and various carbon tax policies in a single period under the generation expansi...

Over the last several years, there has been a nation-wide intensification of policies directed at increasing the level of renewable sources of electricity. These environmental policy changes have occurred against a backdrop of shifting economic regulation in power markets that has fundamentally redefined the mechanisms through which investors in power plants earn revenues. Rather than base paym...

This report proposed a genetic algorithm (GA) based stochastic optimization method for gridconnected residential renewable energy (solar/wind) system layout design and module selection. With the customer input of housing location, electricity demand, default system input of location-specified historical weather data, PV/inverter/turbine module database, forecast model for electricity retail/who...