For the purpose of absorbing the renewable energy sources adequately, the time-of-use electricity price is used as leverage and economic dispatching as a means to realize the optimal arrangement of distributed generation resources. On the basis of consideration for generation cost and environmental cost, economic incomes such as CHP income, energy trading income and renewable energy distributed generation subsidy are added to establish a multi-objective function. A pre-dispatching strategy which considers the coupling between different time intervals of storage system as well as time-of-use electricity price, net load curve is proposed. The intelligent single particle optimizer is applied to seek the best solution of dispatching variables compared to particle swarm optimization. The analysis of dispatching scheme and economic index based on typical winter data validate the effectiveness of dispatching model, dispatching strategy and optimal algorithm.