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Keywords
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Reconfiguration, distributed generation; electric distribution system; Uncertainty; Stochastic
Programming, Teaching-Learning-Based Optimization Algorithm, Risk modeling
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Abstract
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In this paper stochastic modeling for optimally siting and sizing of DGs and network reconfiguration, are done simultaneously.
Uncertainties of load forecasting and market price, are well incorporated into the problem. The main goal of DisCo is to provide
high reliability power with lowest possible costs. So the proposed cost function includes: DG units’ installation and operation
cost, cost of purchased energy from transmission network, active and reactive power losses cost, reconfiguration cost and line
upgrade cost. Besides, risk based modeling of energy not-supplied as an efficient reliability index is incorporated to the cost
function in order to improve the network reliability. Voltage limitation and thermal limit of feeders are implemented by fuzzy set
theory. TLBO algorithm is used as a powerful tool in order to solve the problem. To validate the effectiveness of the suggested
method, simulations are taken and the results are compared respect to the initial configuration.
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