KEYWORDS: System integration, Distributed interactive simulations, Solar energy, Elasticity, Power grids, Photovoltaics, Mathematical optimization, Combustion, Systems modeling, Particle swarm optimization
With the global energy shortage and the increase of power demand, the peak-valley difference in the power market is constantly expanding, which increases the cost of traditional industrial parks. This paper takes the integrated energy system (IES) of industrial parks as the research object, considers the price transmission mechanism between IES and operators. The goal is to reduce the cost of integrated energy systems. In this paper, particle swarm optimization is adopted to solve the integrated energy system model. It is proved that the operation cost can be reduced effectively.
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