A Method for Optimal Distributed Generation Allocation Considering Load Demand Uncertainties
Azaldo S. Machava, Keren K. Kaberere, Gil A. Vilanculo
2022International Journal of Electrical and Electronic Engineering & Telecommunications34 citationsDOIOpen Access PDF
Abstract
This paper presents a method for optimally allocating distributed generators in power distribution networks for total loss minimization using genetic algorithms technique. In the optimization process, load demand uncertainties throughout the day were considered with the aim of representing appropriately the real operation of the distribution system, which allows a more careful evaluation of the optimal bus to allocate the DG. The proposed approach was implemented on the IEEE 13, IEEE 34, and IEEE 123 bus test systems, which possess characteristics inherent in distribution grids.
Topics & Concepts
MinificationDistributed generationComputer scienceMathematical optimizationOptimal allocationGenetic algorithmProcess (computing)Distribution (mathematics)Electric power systemPower (physics)Distributed computingMathematicsMathematical analysisQuantum mechanicsPhysicsOperating systemOptimal Power Flow DistributionSmart Grid Energy ManagementMicrogrid Control and Optimization