A probabilistic method for the operation of three-phase unbalanced active distribution networks

YesThis paper proposes a probabilistic multi-objective optimization method for the operation of three-phase distribution networks incorporating active network management (ANM) schemes including coordinated voltage control and adaptive power factor control. The proposed probabilistic method incorporates detailed modelling of three-phase distribution network components and considers different operational objectives. The method simultaneously minimizes the total energy losses of the lines from the point of view of distribution network operators (DNOs) and maximizes the energy generated by photovoltaic (PV) cells considering ANM schemes and network constraints. Uncertainties related to intermittent generation of PVs and load demands are modelled by probability density functions (PDFs). Monte Carlo simulation method is employed to use the generated PDFs. The problem is solved using ɛ-constraint approach and fuzzy satisfying method is used to select the best solution from the Pareto optimal set. The effectiveness of the proposed probabilistic method is demonstrated with IEEE 13- and 34- bus test feeders

Probabilistic State Estimation in Distribution Networks

State estimation is a procedure that can be used to obtain an estimate of the networkstate by processing the available set of measurements. The state of a network iscommonly defined as the voltage magnitude and angle at every bus. Other parametersin the network such as power flows and currents can be calculated fromthe network state. The information provided by the state estimation is used toassess the network security, to analyze contingencies, and to make decisions onrequired control actions. The concept of applying state estimation to power systemswas developed around 1970 [1]. Since then state estimation has become a routinetask in transmission systems. Over time a large number of redundant measurementdevices were installed throughout transmission networks, and accurate networkmodels have been developed. As a result, it is usually possible to estimate the stateof a transmission network with a high degree of accuracy