911 research outputs found

    Frontier citizenship and state fragility in Kenya

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    Insecurity is a major problem amongst the nomadic communities in North western Kenya.  The communities include the Pokots, Turkana, Marakwet, Toposa and Karamoja.  Using the Pokot Community as a case study of nomadic life style, this paper examines the environmental constraints, cattle rustling and small arms as triggers of Pokot community movements into their frontiers; -zones of contact of states or communities.  In search of water and pasture, the Pokot traverse their frontiers and interact socially, economically and environmentally with their neighbours.  The movements expose their cattle and property to banditry and cattle rustling.  The Pokots thus acquire small arms to protect their livestock and property even though the acquisition of and stocking of arms is the responsibility of the government. So the acquirement of small arms by the Pokot creates a fragile insecurity situation characterised by cattle rustling and banditry.  As Kenyan citizens, the Pokots have a social contract with the state to provide security but this is not the case because of the transitional nature, as nomads.  Insecurity to the nomadic communities manifests in terms of environmental, natural resource based and identity based conflicts. It is concluded that addressing insecurity in this region has to lessen banditry, cattle rustling, social underdevelopment and negative ethnicity.  The steps towards solving state fragility and insecurity ought to take cognizance of the interactions between frontier citizens, environmental constraints, traditions, politics and acquisition of small arms. Key words: security, frontier, cattle rustling, democrac

    Droop control methods for PV-based mini grids with different line resistances and impedances

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    Different droop control methods for PV-based communal grid networks (minigrids and microgrids) with different line resistances (R) and impedances (X) are modelled and simulated in MATLAB to determine the most efficient control method for a given network. Results show that active power-frequency (P-f) droop control method is the most efficient for low voltage transmission networks with low X/R ratios while reactive power-voltage (Q-V) droop control method is the most efficient for systems with high X/R ratios. For systems with complex line resistances and impedances, i.e. near unity X/R ratios, P-f or Q-V droop methods cannot individually efficiently regulate line voltage and frequency. For such systems, P-Q-f droop control method, where both active and reactive power could be used to control PCC voltage via shunt-connected inverters, is determined to be the most efficient control method. Results also show that shunt-connection of inverters leads to improved power flow control of interconnected communal grids by allowing feeder voltage regulation, load reactive power support, reactive power management between feeders, and improved overall system performance against dynamic disturbances

    Modelling Impacts of Socio-Economic Factors on Temporal Diffusion of PV-Based Communal Grids

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    Impacts of socio-economic factors on temporal diffusions of solar electricity microgeneration systems in a rural developing community are modelled and simulated using an agent-based model (ABM). ABMs seek to capture the overall macro-effects of different micro-decisions in a virtual world; they model individual entities within a complex system and the rules that govern them to capture the overall effects of their interactions. Results showed that falling PV costs coupled with generally increasing grid electricity costs would lead to increased uptake of PV systems in such communities. On the other hand, high lending rates in most developing nations would stifle use of credit facilities in purchases of PV systems and thus diminishing their uptakes. Results also showed that introduction of favourable government policies in forms of subsidies would strongly stimulate PV installations in such communities. Social acceptance is important for diffusion of any new technology into a given market and more so with solar systems; results show that neighbourhood influence plays major roles in PV diffusions with many households installing PV systems if their neighbours within a given sensing radius do the same. Results also showed that requiring a certain percentage of neighbours to have installed PV before a household considered doing the same could have negative effects on PV installations as decisions to install PV are influenced by many independent and dependent factors and not by neighbourhood threshold alone
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