Locational effects of variability of injected power on total cost

Abstract

This paper introduces locational prices associated with power injection variability. The sensitivity of uncertainty in injected power on system cost is calculated using a probabilistic DC optimal power flow (DC-OPF). 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 can be used as a tool to investigate best locations for energy storage. As a case study, a 24-bus test system with uncertain variable wind power and uncertain variable loads is analyzed.

A Locational Price for Power Injection Fluctuations of Variable Generation and Load

“…We mention that we introduced this conceptual approach in [6], and that this paper corrects and improves upon that paper. Specifically in [6] we used an overly-complex sensitivity model the results of which, we determined later, did not match empirically-derived sensitivities. In this paper we provide a more direct sensitivity calculation that is consistent with empirically calculated sensitivities.…”

Optimal Facility Allocation and Determination of Demand Response Participation Rate Considering Uncertainties in Power Systems

“…Second, we assume that the PV outputs and DR capabilities for 1 h follow a Gaussian distribution. In fact, this assumption is not perfect but we employ this because Gaussian distribution has often been used in other research related to RE and demands in order to simplify the formulation, including uncertainties [9][10][11][12]. The use of other kinds of probability distributions is reserved for future work.…”