Fast quasi-static time-series analysis and reactive power control of unbalanced distribution systems

Abstract

Summary The paper develops a method for solving time‐series power flow for unbalanced distribution power systems equipped with on‐load tap changer and photovoltaic (PV) power generation. The proposed PV control is developed using a fuzzy logic controller. When the reactive power of the PV inverter is not enough, tap‐up or tap‐down signals are sent to the on‐load tap changer to control the voltage. The Lagrange function is implemented to predict the initial values of voltage magnitudes and phase angles during the simulation process. These initial values are corrected using power flow routine that adopts the forward/backward analysis method. The IEEE‐123 node test feeder is used to assess the validity of the developed continuous power flow solution. The results are compared with the traditional quasi‐static time‐series solution without prediction scheme. The simulation results prove that the developed time‐series model has superior performance. The effects of PV penetration and voltage regulator on the method performance and tap setting are also investigated.

An Enhanced Artificial Ecosystem-Based Optimization for Optimal Allocation of Multiple Distributed Generations

“…types, as shown in Fig. 17 [59]. The system is simulated with each load type independently during the 24-hr period, and the associated total power losses are calculated at each hour.…”

Power Quality Issues and Mitigation for Electric Grids with Wind Power Penetration

“…where m refers to the phase a, b, or c, y m is the voltage magnitude V m or phase angle δ m , the variable x represents the independent variable which could be the time or active or reactive power according to the prediction technique adopted for calculating the initial guess [44,46,47]. If the adopted technique is based on time variation instead [44,47], a linear approximation of (6), n = 1, is expressed as follows:…”

“…Power-flow engine: The load flow analysis utilized with the FQSTS is based on the forward-backward sweep analysis method [44,48]. The method includes mainly three basic steps [47]:…”

“…Additionally, the FQSTS involves voltage stability and control algorithms [40,[48][49][50][51], and system and operating data management. Hence, simulation of mitigation using active and reactive power control can be studied using the FQSTS algorithm [42,44,46,47,52,53]. The basic blocks of the solution process performed using the FQSTS simulator are shown in Figure 5 where the process starts with data preparation of the study system.…”

Probabilistic Load Flow Solution Considering Optimal Allocation of SVC in Radial Distribution System

“…Capacitor banks, voltage regulators, Dynamic Voltage Restorer (DVR) and Distributed Flexible AC Transmission System devices (D-FACTS), are examples of such compensators. Recently, a reactive power compensation using the PV inverter is used in distribution systems to relax the voltage regulator [3]. However, D-FACTS devices are considered the best way to enhance voltage profile in power systems by increasing the capacity of the transmission line and controlling power flow in a flexible and fast way [4,5].…”