Distribution system performance enhancement (Egyptian distribution system real case study)

Abstract

Higher load growth in the distribution system and its consequences on higher voltage deviation, feeders overloading, and distribution system loss increase have a bad effect on system quality. Global warming and the dwindling supply of fossil fuels also make it imperative to search for more effective alternatives that guarantee appropriate operating level of power losses and voltage profile at different points of the distribution networks. Capacitor banks (CBs), renewable distributed generators (DGs), and automatic voltage regulators (AVRs) can be considered the most suitable enhancement devices for distribution systems that reduce both pollution and power losses, improving the voltage profile, ..., etc, if they are optimally sized and sited. The objective of this paper is to investigate the optimal placement of each of the 3 mentioned solutions (CBs, DGs, and AVRs) on a part of real Egyptian distribution system. This system is an old, long, weak, and heavily loaded distribution system with high power losses (about 29% of system loading) and poor voltage regulation (about 30%). Each introduced solution has been evaluated according to power loss minimization and investment cost minimization. A new modification to the backward-forward power flow method for radial distribution system embedded AVRs has been proposed, which facilitates the placement procedure of AVRs and reduces computation time as compared to other methods. In this paper, an optimal placement of the combined CBs, DGs, and AVRs has also been introduced based on integrated particle swarm optimization technique and rough set theory. The proposed approach aims to minimize the problem complexity and reduce the storage capacity required for the optimization problem.

Optimal coordination of static VAR compensators, fixed capacitors, and distributed energy resources in Egyptian distribution networks

“…Figure 8 shows a multilateral radial distribution feeder of 37‐bus TRDF 43 . This system is a part of EEUN and contains 37 nodes and 36 branches.…”

Optimal Control and Operation of Fully Automated Distribution Networks Using Improved Tunicate Swarm Intelligent Algorithm

“…Therefore, new trends seek to automate the existing distribution systems to maximize benefits of these devices. The targeted automation process includes controlling the operation of the connected DGs and CBs as well as reconfiguration of the distribution systems to reduce system losses, improve voltage profile, relive feeders and substation loading, improve power quality and enhances system reliability [6], [7]. Distribution network reconfiguration (DNR) is the process of optimal restructuring (tying and sectionalizing) the distribution networks by altering the normally open and normally closed switches within the distribution network.…”

“…Distribution network reconfiguration (DNR) is the process of optimal restructuring (tying and sectionalizing) the distribution networks by altering the normally open and normally closed switches within the distribution network. Reconfiguration of distribution systems or addition of external enhancement devices in indiscriminately or inappropriate manner adversely affect the performance of distribution systems [7], [8]. CBs, DGs and DNR are not new topics in performance enhancement of distribution systems, where a lot of researchers got attracted to enhance the performance of the distribution systems by introducing different techniques.…”

Smart residential load management technique for distribution systems' performance enhancement and consumers' satisfaction achievement

“…4,5 Capacitor bank (CB) and distributed generator (DG) placements in distribution networks are the common enhancement methods used, nowadays, to relieve overloading and rehabilitate distribution systems. 6,7 It can be said that, despite of performance enhancement of distribution systems after DG connection, the dependence on the weather conditions which may conflict with load requirements, especially at peak load periods, is considered the main greatest problems facing power system operators. 8 This, in turn, requires consideration of alternative solutions such as utilization of energy storage devices with the connected DGs, but the excessive cost is the main disadvantage of this solution.…”