Ninoslav Holjevac

Role and impact of coordinated EV charging on flexibility in low carbon power systems

The paper analyses the impact of Electric Vehicle (EV) integration into different power systems and their flexibility potential in mitigating the uncertainty and variability of renewable energy sources (RES) generation. The problem is cast as Mixed Integer Linear Programming (MILP) unit commitment, modelling different generation mix/technologies over a number of scenarios. The results, as expected, show that different EV charging strategies have different impacts on power system operation and unit scheduling. In addition, the analyses support the premises that the greater number of EVs, with coordinated charging strategies, can have environmental benefits in terms of reducing CO2 emissions in addition to reducing wind curtailment and system operation costs. These benefits are more obvious in low flexible power systems characterized by dominantly thermal power plants, while they are less pronounced in balanced hydro thermal systems.

Algorithm for out-of-step condition detection and early warning using phasor measurement unit data

In wide area monitoring, protection and control systems (WAMPAC), angle stability of transmission network is monitored using data from phasor measurement units (PMU) placed on transmission lines. Based on PMU data stream measurements advanced algorithm in order to detect and issue an early warning for out-of-step conditions is developed. That research hypothesis and algorithm is described in this paper. Data and results from corresponding simulations done in Matlab environment are elaborated and explained to provide the insights of the potential benefits. This algorithm will be adjusted for implementation in protection segments of WAMPAC systems in the transmission system operator central control centers.