Establishment and Solution of the Complementary Power Generation Model of Wind-Energy,Hydro-Energy and Natural Gas

A complementary clean energy power generation model of wind-energy,hydro-energy and natural gas is proposed. Taking the lowest consumption of natural gas as objective function and the full use of wind-energy and hydro-energy as constraints,an optimal complementary power generation model of various clean energy sources is built. To solve the built model an improved simulated annealing based particle sward optimization(SA-PSO) algorithm is put forward. During the solution process the particle velocity is updated by linear decreasing inertia weight coefficient,then further crossover and mutation operation of particles is performed; the post-crossover filial generations are accepted by simulated annealing algorithm and further optimization and adjustment are implemented,in this process the probability of accepting non-optimal solution decreases with the decreasing of annealing temperature. In the early stage of evolution the SA-PSO algorithm possesses strong global searching ability,so it is favorable to jump out the local optimum,and in the later stage the local searching ability is satisfied and the probability of accepting non-optimal solution reduces gradually,besides,the evolution by SA-PSO algorithm is fast. Results of a calculation example show that the built model and the proposed SA-PSO algorithm are feasible.