Capacitor placement in distribution systems using fuzzy technique

Abstract

A new approach using fuzzy sets theory and heuristic rules is used to determine the optimal number, size, and location of capacitors to place in a distrilbution system. The use of fuzzy sets theory will be utilized for the decision of candidate nodes for the installation of capacitors by reconciling the degree of reactive powler loss and the voltage sensitivity. This algorithm is applied to a practical test case system and ifs results are compared to those generated by another non-fuzzy method.

A fuzzy expert system for loss reduction and voltage control in radial distribution systems

“…This results in total loss reduction of 108.036 kW, thus a cost reduction of $16,530 with a minimum voltage of 0.8845 p.u. at bus (9). The results of applying FES method and other proposed approaches are shown in Table 2.…”

“…[9], the authors presented the same membership functions used in Ref. [8] but they replaced the real losses by reactive losses membership function and instead of using the intersection principle as a decision making, they used the dot product to determine the suitable locations of capacitors.…”

A New Method of Capacitor Allocation and Sizing in Distribution Network Using Combined Fuzzy - Qv Analysis

“…Authors in [5,6] determined candidate nodes by first identifying the branch in the system with the largest losses due to reactive currents. Then the node which contributes the largest load affecting the losses in that branch is selected as the candidate node.…”

Optimal sizing of fixed capacitor banks placed on a distorted interconnected distribution networks by Genetic Algorithms

“…These methods include: nonlinear programming [9], near global methods (genetic algorithms [10]- [16], simulated annealing [17]- [20], tabu search [21] - [24], artificial neural networks [25] and fuzzy set theory [26], [27]). All these approaches ignore the presence of voltage and current harmonics.…”