Strategic planning of renewable distributed generation in radial distribution system using advanced MOPSO method. (November 2020)

• Record Type: Journal Article
• Authors: Malik, Muhammad Zeeshan; Kumar, Mahesh; Soomro, Amir Mahmood; Baloch, Mazhar Hussain; Farhan, Muhammad; Gul, Mehr; Kaloi, Ghulam Sarwar
• Is Part Of: Energy reports. Volume 6(2020)
• Page Start: 2872
• Page End: 2886
• Publication Date: 2020-11
• Subjects: Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2020.10.002
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: The integration of wind turbine, solar photovoltaic based distributed generation in low voltage distribution network has many advantages. However, the output power from wind turbine and solar PVs are intermittent in nature. The production of these intermittent power generations may introduce many challenges in distribution network such as increase in power losses, voltage deviation and instability. Therefore, this paper proposes optimal integration of these intermittent renewable DGs along with biomass and capacitor banks to optimize distribution network parameters. The real time wind speed and solar irradiance data are processed in time series mathematical model along with relevant probability distribution function (PDF) for calculating the accurate power output from these renewable resources. Later, an advanced multi-objective particle swarm optimization technique has been used to optimize the distribution network parameters such as power losses, voltage deviation and voltage stability index. The proposed model has been validates and tested on Portuguese 94 bus system. Moreover, the proposed model results revealed the power loss reduction up to 77.82%, voltage deviation 9.68% and voltage stability index 44.25%.