Browsing by Author "Amelin, M."

Now showing 1 - 3 of 3
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    A heuristic model for planning of single wire earth return power distribution systems
    (Power and Energy Systems and Applications, PESA, ) Da Silva, Izael; Da Silva, I. P; Bakkabulindi, G.; Mohammad, R. H.; Amelin, M.; Lugujjo, E.
    The planning of distribution networks with earth return is highly dependent on the ground's electrical properties. This study incorporates a load flow algorithm for Single Wire Earth Return (SWER) networks into the planning of such systems. The earth's variable conductive properties are modelled into the load flow algorithm and the model considers load growth over different time periods. It includes optimal conductor selection for the SWER system and can also be used to forecast when an initially selected conductor will need to be upgraded. The planning procedure is based on indices derived through an iterative heuristic process that aims to minimize losses and investment costs subject to load flow constraints. A case study in Uganda is used to test the model's practical application.
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    Altruistic versus profit maximising system operators of rural power systems
    (IEEE, 2007-07-20) Sendegeya, A.; Amelin, M.; Soder, L.; Lugujjo, E.; Da Silva, I. P.; Da Silva, Izael
    This paper presents a methodology using Monte Carlo Simulation for analysing and compare the impact of two types of monopolistic rural power system operators (altruistic and profit maximising operators) on the probability distribution of tariff levels and reliability of the system. The market has price sensitive consumers. The developed model has been demonstrated on two power systems: only diesel genset and a wind-diesel hybrid system showing the impact of the generation costs and capacity of generation from wind on the tariff levels, expected profit and reliability.
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    Planning algorithm for single wire earth return distribution networks
    (2012-07) Da Silva, I. P.; Amelin, M.; Hesamzadeh, M. R.; Bakkabulindi,G.
    Power flow in earth return distribution systems typically depends on geographical location and specific earth properties. The planning of such systems has to take into account different operational and safety constraints from conventional distribution systems. This work presents the mathematical modeling and planning of Single Wire Earth Return (SWER) power distribution networks. The SWER load flow is modeled and formulated as an optimization problem. Then by using a heuristic iterative procedure, a planning algorithm is developed for the SWER system. The developed procedure includes optimal feeder routing and overhead conductor selection for both primary and lateral feeders with load growth over several time periods. A 30 node test network extracted from a rural area in Uganda is used to test the algorithm's practical application to give reasonable and consistent results. The model presented can be used in planning SWER networks for areas which have previously not been electrified as well as determining suitable upgrades for existing SWER distribution feeders. The algorithm's mathematical modeling and simulations were done using the General Algebraic Modeling System (GAMS)