The new energy and load in the micro-energy grid are uncertain

which brings challenges to the system operation security. Robust optimization is often applied to deal with uncertain problems

which can ensure the safety of micro-energy grid

but it has the disadvantage of being strongly conservative. The light robust optimization can effectively reduce the conservativeness of traditional robust optimization. The mathematical model of a typical micro-energy grid is conducted

and a dispatching model of micro-energy grid is constructed based on light robust optimization. Considering the uncertainty of the renewable energy output and load

the dispatching model aims at the maximum difference between comprehensive profit and penalty term after the introduction of slack variables representing energy power shortages in the constraint of energy supply and demand

and transforms the uncertain constraints into deterministic constraints through the theory of counterpart transformation. The model can be solved by conventional optimization methods. Finally

the simulation cases are carried out. The results show that the proposed dispatching method can not only reduce the conservativeness and improve the economy of dispatch schemes

but also meet the dispatching requirements of different decision-makers.