Propagation of Voltage Deviations in a Power System

The paper deals with voltage profiles in a power system. The analysis of these profiles is important due to the requirement that the Root-Mean-Squared (RMS) values of nodal voltages should be within certain ranges, as well as to ensure desired power flows in a power system. In both cases, it is desirable to indicate points in a power system where it is reasonable to apply remedial measures to meet the requirements for RMS values of nodal voltages, or to effectively control the power flows in a power system. In general, candidate nodes for remediation are established based on operational experience or measurement data from a certain time point (sometimes from several time points). The paper presents a method that provides a basis for determining the aforementioned candidate nodes based on the behavior of a system over a certain period of time, which is an unquestionable advantage of this proposal. In order to achieve the abovementioned goal, the method provides for the analysis of propagation of voltage RMS value deviations in a power system. The analysis of correlational relationships between the RMS values of nodal voltages is used for this. After presentation of the theoretical background, the new original method is described in the paper. Then, case studies showing the utilization of that method are presented. At the end of the paper, features of the proposed method are enumerated.

Exploiting Friends-and-Neighbors to Estimate Coattail Effects

Federalist democracies often hold concurrent elections for multiple offices. A potential consequence of simultaneously voting for multiple offices that vary with respect to scope and scale is that the personal appeal of candidates in a high-profile race may affect electoral outcomes in less salient races. In this article I estimate the magnitude of such coattail effects from governors onto other concurrently elected statewide executive officers using a unique dataset of county election returns for all statewide executive office elections in the United States from 1987 to 2010. I exploit the disproportionate support that candidates receive from geographically proximate voters, which is often referred to as the friends-and-neighbors vote, to isolate variation in the personal appeal of candidates. I find that a one-percentage-point increase in the personal vote received by a gubernatorial candidate increases the vote share of their party's secretary of state and attorney general candidates by 0.1 to 0.2 percentage points. In contrast, personal votes for a secretary of state or attorney general candidate have no effect on the performance of their party's gubernatorial candidate or other down-ballot candidates.

Candidate Equilibrium and the Behavioral Model of the Vote

Most applications of spatial modeling to the problem of electoral competition are pessimistic regarding the prospects for candidate equilibrium in more than one policy dimension. Probabilistic models of the vote, however, increase the likelihood of equilibrium. We expand the probabilistic model to include measured nonissue variables, thereby representing the general multivariate model of behavioral research. For this model we offer a general candidate equilibrium solution and illustrate with some simulations based on 1988 National Election Study data. The more complicated one's model of voters' motivations, the greater appears to be the chance of locating a candidate equilibrium position in policy space.