The constraint conditions of installed capacity

power and renewable energy penetration in planning for grid-connected multi-energy complementary systems are analyzed. The objective function of the economic benefits was established

with the system equipment capacity as the solution parameters and the system operation mode as the energy revenue and expenditure. The particle swarm optimization algorithm with dynamic changes of the inertia weight factor was proposed by converting the solution parameters

constraint conditions and objective functions into the particle swarm dimension

particle swarm motion domain range and the fitness function

which was then applied to optimized planning for the multi-energy complementary system in an example of a tourism resort. The results show that

the system equipment capacity can be optimized through calculating a one-year load data hourly to meet the requirements of maximizing economic benefits

and the multi-energy complementary system can benefit 334 200 yuan per year.