Nowadays, the uncertainty of renewable energy and demand side response have become a significant issue in microgrid dispatch. To optimize the dispatching, it is usually a common way to establish the probability distribution functions of the renewables and the associated load model. Though there have been various modeling approaches, few of them consider the customer satisfaction with uncomplicated parameter solving algorithms. To settle this problem, this paper proposes an optimal dispatching strategy for a thermoelectric coupled microgrid. A parameter simplification approach is firstly presented to deal with the renewable energy uncertainty, by introducing normal distribution probability distribution function and reserve capacity allocation cost. Secondly, as for the demand side response, the effect of transferable and reducible loads on customer satisfaction has been fully considered, and the load tracking ability on renewables has also been taken account. The effectiveness of the proposed strategy and its superiority in reducing the operating cost of the microgrid have been verified by computer simulations and comparisons.
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