Optimal Scheduling of Microgrid Based on Improved Dung Beetle Optimization Algorithm
An economic model for scheduling microgrids containing wind,solar,diesel,microturbines,fuel cells and bat-teries was established to minimise total operational and environmental management costs by adjusting the output of each distributed generation.To address the shortcomings of the dung beetle optimizer(DBO)such as reduced population diver-sity in the second half of iteration and poor ability to escape from local optimum when solving high-dimensional complex problems,an opposition-based learning strategy and adaptive t-distribution mutation were introduced to DBO and the im-proved dung beetle optimizer(IDBO)was proposed and applied to solve the proposed microgrid model.Simulation results of IDBO were compared with those with DBO,with grey wolf algorithm and with bat algorithm,showing that IDBO out-performs the other three algorithms in terms of convergence speed,convergence accuracy and stability.Adoption of the decentralised electricity supply scheme obtained with IDBO can achieve the lowest total operational cost of a microgrid.
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维普
