Mid-long term multi-objective optimal scheduling model for Wind-Solar-Hydro power hybrid system based on multi-objective tangent algorithm

With the shortage of energy and the aggravation of environmental problems, new clean and renewable energy sources, such as wind power and solar power, have been paid more and more attention. Due to the randomness and volatility of wind power and solar power, large-scale integration of power grid will bring instability of power generation. Fortunately, the hydropower regulation ability is stronger, the wind power, solar power and hydropower can carry on the energy complementary. It has become a hot issue to carry out Wind-Solar-Hydropower joint scheduling. In this paper, mid-long term multi-objective optimal scheduling model for Wind-Solar-Hydro power hybrid system is established, and the economic benefit, generation storage benefits and ecological benefits are considered at the same time. Additionally, a new multi-objective algorithm which called multi-objective tangent algorithm (MOTA) is proposed to solve the model. The model has been applied to the Wind-Solar-hydropower base in the middle and lower reaches of the Yalong River in China. The empirical results show that MOTA obtains wide and uniform Pareto set and outperforms NSGAIII. The establishment and solution of the model have certain practical value and reference significance for the mid-long term planning of wind power, solar power and hydropower complementation.