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Many technical areas in power systems require the simultaneous optimization of multiple and often conflicting objective functions with complicated non-linear constraints. The recent studies on multi-objective evolutionary computation methods have shown that the population-based stochastic algorithms are the most attractive approaches for this class of problems. Moreover, these methods can be efficiently...
This paper presents a new approach for the optimal long-range generation planning. A completely new analytical approach for the production costing model and reliability measure is developed under the assumption of Gaussian probabilistic distribution of random load fluctuations and plant outages. The long-range generation investment problem is formulated as an optimal control problem to determine optimally...
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