Faculty Publications
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Item Rural nonfarm employment, income, and inequality: Evidence from Bhutan(MIT Press Journals, 2015) Rahut, D.B.; Jena, P.R.; Ali, A.; Behera, B.; Chhetri, N.B.Using the 2012 Bhutan Living Standard Survey, this paper finds that rural nonfarmactivities comprise 60.7% of rural household income in Bhutan and this contribution increases with higher income and education levels. The poor and less educated participate less in the nonfarm sector.When they do, they are selfemployed in petty nonfarmactivities, which require little investment and little or no skills. Accounting for endogeneity and sample selection issues, we estimate the determinants of participation in nonfarm activities and nonfarm incomes. We find that a household’s education and labor supply play an important role in accessing more remunerative nonfarm employment. Interestingly, we find that women play an important role in self-employment in nonfarm activities. Decomposition shows that nonfarm income has a disequalizing effect and farm income has an equalizing effect, indicating the need to increase the endowment of poor households to enable them to access the lucrative rural nonfarm sector. Further decomposition reveals that self-employment in petty nonfarm activities reduces inequality. © 2015 Asian Development Bank and Asian Development Bank Institute.Item Multi-Agent-Based Coordinated Voltage Regulation Technique in an Unbalanced Distribution System(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Tangi, S.; Gaonkar, D.N.; Nuvvula, R.S.S.; Ali, A.; Riyaz Ahammed, S.R.Unbalanced active distribution networks must be carefully analyzed to minimize undesirable implications from internal unbalances and the incorporation of intermittent sources, such as DG (Distributed Generation). A coordinated voltage regulation mechanism is being created employing a MAS (Multi-Agent System) control structure to solve the difficulties mentioned earlier. The proposed technique increases coordination between DGs and Shunt capacitors (SCs) to optimize the voltage profile and reduce overall power losses, along with voltage and current unbalanced factors in the proposed unbalanced 3-phase radial distribution network. To ensure improved real-time monitoring, PMUs (Phasor Measurement Units) measure the state parameters of the above-regulated distribution network in realtime. Because it does not necessitate the placement of PMUs at all nodes for total network observability, it is a cost-effective technique for estimating network state. The IEEE standard, a 25-bus unbalanced 3-phase distribution network feeder, is used to assess the viability of the recommended technique. MATLAB R2024a programming is used to simulate the case studies. © 2025 by the authors.
