Voltage and reactive power control in distribution network considering optimal network configuration and voltage security constraints

Abstract

In order to reduce energy loss and improve voltage stability index in a distribution system, two di erent approaches, voltage and reactive power control (volt/var control) and distribution network recon guration, were proposed and employed. In the present paper, volt/var control and network recon guration in a distribution system considering voltage security constraints were modeled as a multi-objective optimization problem. Total electrical energy loss, voltage deviation, and voltage stability were considered as objectives. In addition, a new method for the distribution network recon guration was utilized to implement these two problems simultaneously. In this way, the two problems could be solved in a less amount of time. In addition, loads of di erent nature in each bus were considered in network load modeling. Non-dominated sorting genetic algorithm-II was used to solve this problem. Finally, the e ectiveness of the proposed method was evaluated by its implementation on the IEEE 33-bus system and a real 77-bus distribution system.

Voltage stability assessment of the power system using novel line voltage collapse index

“…In order to avoid the voltage collapse problem a new index has been proposed in this paper by considering the stability criterion defined by (12). The proposed index LVCI for the kth line may be formulated from (12)…”

“…Additionally, using static VAR systems, this type of study may be used to choose potential transmission lines or buses for compensation [11]. In [12] work, a multi-objective optimization problem was used to represent volt/var control and network reconfiguration in a distribution system taking voltage security limitations into consideration. A novel formulation based on mixed integer linear programming (MILP) is put forth in [13].…”

“…The most severe contingencies are found to be as line outages(8)(9),(11)(12)(13),(17)(18),(23)(24)(25),(25)(26)(27),(26)(27)(28)(29)(30),(30)(31)(32)(33)(34)(35)(36)(37)(38),(4)(5), (64-65) and (100-103), and lines (15-13),,,,, (45-46),, (65-38) and (65-66), respectively are the most stressed lines under these contingency conditions. Under the maximum permitted MVA loading, the values of Lmn, FVSI, and Lqp's line indices should be equal to or less than unity.…”

Elektrik Tesislerinde Gerilim Kararlılığının Sağlanması için Kullanılan Yöntemler

“…İki saklı katman topolojisindeki hata oranı daha azdır. (Memarzadeh & Esmaeili, 2018) Genetik Algoritma (GA) yerine Non-dominated Sorting Genetic Algorithm II (NSGA-II) kullanılmıştır. Çok Amaçlı Parçacık Sürüsü Optimizasyonu (MOPSO) algoritması ile karşılaştırılmıştır.…”