Optimal Allocation of Renewable Energy Hybrid Distributed Generations for Small-Signal Stability Enhancement
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Date
2019-11-14
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Abstract
wind, and biomass takes into consideration the impact assessment of variable
generations from PV and wind on the distribution networks’ long term dynamic voltage and
small-signal stabilities. Unlike other renewable distributed generations, the variability of power from
solar PV and wind generations causes small-signal instabilities if they are sub-optimally allocated
in the distribution network. Hence, the variables related to small-signal stability are included and
constrained in the model, unlike what is obtainable in the current works on the planning of optimal
allocation of renewable distributed generations. Thus, the model is motivated to maximize the
penetration of renewable powers by minimizing the net present value of total cost, which includes
investment, maintenance, energy, and emission costs. Consequently, the optimization problem is
formulated as a stochastic mixed integer linear program, which ensures limited convergence to
optimality. Numerical results of the proposed model demonstrate a significant reduction in electricity
and emission costs, enhancement of system dynamic voltage and small-signal stabilities, as well as
improvement in welfare costs and environmental goodness
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Keywords
dynamic voltage stability, renewable energy, renewable resource intermittencies, distributed generations, net present value of total cost, dynamic small-signal stability, mixed integer linear programming, distribution network