Coordinated generation and transmission planning based on EDA/DA algorithm considering wind power integration

The large-scale transmission network expansion planning requires high computational speed and accuracy, so combining the DE (differential evolution) algorithm with the EDA (estimation of distribution algorithm), whose algorithm probability update mechanism is improved according to the characteristics of the transmission network expansion problem, a EDA/DE hybrid algorithm is presented to solve large-scale transmission network expansion planning problem. At the same time, taking into account the grid company investments, incentive policy for renewable energy as well as the security constraints, based on the embedded cost, wind curtailment and risk value, a multi-objective static planning model for transmission network expansion and wind power network optimization is established. IEEE24 RTS node example demonstrates the validity and applicability of the proposed algorithm.

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