Impact of distributed generation technology and location on power system voltage stability

Abstract

This paper shows the effect of distributed generation location and type of technology on power system voltage stability and power losses. Three types of distributed generation technologies are used to check this effect: injecting active and reactive power, injecting active power and absorbing reactive power, and injecting only active power to the system (unity power factor operation). Location of distributed generation is also evaluated. The most suitable locations to connect distributed generation sources are identified by modal analysis through participation factors. These participation factors indicate sensitive areas of the system associated with active and reactive power. Then, they can be used to assess the impacts of each type of distributed generation technology on the system. The analysis is conducted on a 33 and 65 bus system representing Brazilian regions. The analysis shows that power system voltage stability and power losses are significantly affected by distributed generation location and type of technology. In some cases, the presence of distributed generation can even deteriorate voltage stability and power losses.

Enhancement of simultaneous network reconfiguration and DG sizing via Hamming dataset approach and firefly algorithm

“…Integration of DNR and DG sizing are reported in the literature in which these techniques are implemented individually [7–10], sequentially [11, 12], or simultaneously [13, 14] to improve system efficiency. These integrations further increase system complexity.…”

“…The results highlight the advantage of the proposed technique in attaining minimum power loss compared to other techniques. Similarly, author in [9, 10] only utilise DG to reduce power loss and improve voltage profile. In [9], an improved analytical approach is presented to find the optimal size and location of various types of DG units.…”

“…The obtained results show that the proposed method manages to improve the result from previous literature. The authors in [10] established a method to place various types of DGs at an optimal location in the network. The proposed method is tested on a practical network in Brazil.…”

Prediction of Solar Radiation Intensity using Extreme Learning Machine

“…Under steady-state condition, it may affect the voltage profile and power losses [6,7], the number and direction of power flow [8,9], MVA fault levels [10,11], reliability system [12][13][14], and power quality [15,16]. Under the dynamic-state condition, among the impacts of the PV-based renewable energy injection into grid system are the stability of the frequency and voltage [5,[17][18][19][20][21] and the small signal stability [22] of the electrical system.…”

Stochastic voltage stability margin in unbalance feeder with fuzzy based distributed generation placement

“…et al, analyzed voltage stability for an IEEE 14-bus test system using adaptive fuzzy logic based random load distribution [13]. J. H. Angelim and C. M. Affonso has investigated the impact of location and types of DG unit on voltage stability and power losses [14].Voltage stability margin significantly affected by the type, location and penetration level of DG units. In this lieu, P. Mehta et al, has presented a voltage sensitivity index and bus participation factors to select best location and type of DG units [15].M.…”