Optimum reactive power compensation for distribution system using dolphin algorithm considering different load models

Abstract

The distribution system represents the connection between consumers and the entire power network. The radial structure is preferred for distribution system due to its simple design and low cost. The electrical distribution system suffers from problems of rising power losses higher than the transmission system and voltage drop. One of the important solutions to improve the voltage profile and to reduce the electrical distribution system losses is the reactive power compensation which is based on the optimum choice of position and capacitor size in the network. In this paper, different models of electrical loads such as constant power(P), constant current(I), constant impedance(Z), and composite (ZIP) model are implemented with comparisons between them in order to identify the most effective load type that produces the optimal settlement for alleged loss reduction ,enhancement of the voltage profile, and cost savings. To minimize search space, Dolphin Optimization Algorithm (DOA) is applied for selecting the size and location of capacitors. Two case studies (IEEE 16- bus and 33- bus) are employed to evaluate the different load models with optimal reactive power compensation. The results of comparison between the different load models show that ZIP model is the best to produce the optimum solution for capacitor position and size. In addition, comparison of results with literature works are done and showed that DOA is the most robust among other algorithms to achieve the optimum solution for voltage profile enhancement significant reduction of losses, and saving cost.

Comparison of different methods to face the huge increase in future load in power distribution network

“…b. Improve system voltage: this objective aims to find the optimal capacitor locations and sizes in order to improve the overall system voltage level and prevent maximum voltage rise [20], [21] − Capacitor equipment: the capacitors sizes to be installed are chosen from the list of capacitors available according to MOE. − Number of capacitors to install: specify the number of capacitors to install in the network.…”

Research on Reactive Power Compensation Based on Magnetic Saturation Controllable Reactor

“…K1 and D are on, K2 is off (3) D is on, K1 and K2 are off (4) K2 is on, K1 and D are off (5) K2 and D are on, K1 is off For each of the above states, the state equation corresponding to the magnetic saturation controllable reactor is derived below. In the derivation process, in without affecting the deduction result, it can be assumed that [11][12][13][14][15]:…”

Machine learning for prediction models to mitigate the voltage deviation in photovoltaic-rich distributed network

“…Three heuristic algorithms were examined PSO, parasitism predation algorithm (PPA), and tunicate swarm algorithm (TSA), and PSO showed its capability in reducing power loss in the distribution network. In [16], different loads of distribution systems were modeled and tested for the minimum power loss in the distribution network. IEEE 16-bus and 33-bus were used, and dolphin optimization algorithm (DOA) was employed for achieving optimal values of capacitors and reactive power compensation.…”