demand response

environmental cost

multi-objective optimization

improved particle swarm optimization

Environmental management

Wind energy

The wide application of renewable energy makes distributed power generation play an increasingly important role, which brings a certain influence to traditional power generation. In the overall environment of smart grid planning, reasonable optimization of load supply side will greatly reduce the cost of power generation, smooth the fluctuation of load, and improve the economy of energy utilization. The optimization of supply side load using time-of-use (TOU) could promote the optimal allocation of resources, which is conducive to the sustainable development of clean energy. This paper aimed at researching the operational mode of traditional power plant and wind power when considering the demand response TOU and considering the constraints of environmental cost, thermal power load, overall dispatching and other factors to optimize the operation mode. In this paper, a multi-objective optimization model with the objective function of minimum curtailment wind rate and maximum power generation profit was established. The effectiveness of the proposed model and the improved algorithm was verified by an example. This paper also provided some support for further research on supply-side renewable energy generation and thermal power optimization considering energy storage.