(searched for: doi:10.1109/icstm.2015.7225438)
International Journal of Energy Research, Volume 45, pp 3615-3642; doi:10.1002/er.6104
Distributed generation (DG) has attracted significant attention due to its great potential for enhancing economical and technical performance of power systems and reducing dependence on fossil fuels. Optimal sizing and placement are critical for stimulating such potential, about which a considerable number of models and algorithms have been proposed in past literature. This paper attempts to undertake a comprehensive review on optimal sizing and placement of DG via a systematic methodology procedure, including definition and classifications of DG, modelling and problem formulation with different technical and economic criteria, and summary of optimization algorithms. Common features and distinctive characteristics of both models and methods are identified, followed by evaluations and comparisons based on their practical performance in various test systems. Selection of DG techniques with respect to application scenarios, indispensable and optional considerations in DG planning models, and pros and cons of algorithms are listed in tables for a clearer understanding. Lastly, a total of 107 algorithms are addressed, which are classified into five categories. Particular, hybrid methods can deal with complex engineering problems with multiple objective functions and constraints most effectively and robustly. Future research trends are also highlighted with the aim of providing a comprehensive and state‐of‐the‐art survey for researchers, engineers, and other stakeholders.
Advances in Intelligent Systems and Computing pp 591-602; doi:10.1007/978-981-15-2414-1_59
The outdated existing electrical infrastructure and shortage in power generation causes complex operation and poor performance of electrical distribution networks. This results in low voltage profile, huge T&D losses, load shedding, and poor power quality of supply. To address these problems several researchers are working across the globe. The many techniques, algorithms, devices, online analysis of power system softwares are introduced to overcome these issues by taking quick corrective measures. In this paper, enhancement of voltage values and minimization of total power loss are taken as key objectives. The placement of multiple capacitors is used for compensation of required reactive power using fuzzy knowledge-based controllers. The proposed methodology is tested on IEEE-15 bus and IEEE-33 bus radial networks. The obtained results are satisfactory in improving the overall enhancement of the voltage profile.
Published: 6 October 2016
2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS) pp 330-335; doi:10.1109/iceets.2016.7583775
Conference: 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS), 2016-4-7 - 2016-4-8
Due to increase in population and change in the life style there is huge burden on the power system mainly on the transmission and distribution infrastructure. Inspite of increase in the generation existing infrastructure is not able to meet the demand because of ageing and transfer capability. The overloading of this transmission lines creates more power loss and reduction of these losses can be achieved by line reconfiguration, express feeder lines and distributed transformer placement. In this paper IEEE 33 bus system is considered for the analysis. The line reconfiguration and distributed transformer placement analysis is done in MiPower-9.0 version and satisfactory results are obtained in terms of power loss reduction and voltage improvement.