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Keywords
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Optimal Feeder Routing (OFR), Multistage Planning, Uncertainty modeling, Scenario Based-Stochastic Programming, Genetic Algorithm, Reliability, Risk Modeling
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Abstract
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This paper presents a stochastic expansion planning method with consideration of important uncertainties such as load forecasting and energy price errors as well as pseudo dynamic planning of distribution network including geographical constraints. In this paper, the optimal routes of MV feeders as the backbone of distribution networks are obtained. The proposed objective function contains cost of feeder’s installations, active and reactive power loss cost and cost of purchased active power from power market which is optimized by Genetic algorithm. Besides, risk based modeling of energy not-supplied as an efficient reliability index is incorporated to the cost function in order to enhance the reliability of the network. To validate the effectiveness of the proposed scheme, the simulations are carried out on a relatively large-scale distribution network.
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