| dc.description.abstract | In this thesis locational prices associated with power injection variability are introduced. Using a probabilistic DC optimal power flow (DC-OPF), the sensitivity of uncertainty in injected power on system cost is calculated. This sensitivity may be used as a price for regulation to equitably allocate costs associated with tracking power injections. In this context the price
also provides a locational value to energy storage and hence is predicted to provide motivation for those loads and generators with variability to use it as a tool to investigate best locations for energy storage. As a case study, the IEEE 24-bus test system with uncertain variable wind power and uncertain variable loads is analyzed. Three scenarios are posed to consider changes
in network’s parameters. In the first scenario only two wind generators are uncertain and the loads considered to be deterministic. In the second scenario, all loads and the two generators have the same amount of uncertainty. Finally in the third scenario, different values of uncertainty are associated with different locations. | en_US |
