Research on dynamic energy optimization strategy of park smart energy system with complementary multi-energy

Abstract

The only way to develop a smart grid is to build a smart energy system in the park with coordinated optimization of source, network and load, and flexible interaction. In order to achieve the best operation of the multi-energy complementation of cooling, heating, and electricity in the smart energy system of the park when the output of renewable energy is uncertain, the Latin hyper square sampling method and the synchronous back generation method are used to analyze and model the uncertainty of renewable energy in the system. A model for the optimal operation of the integrated energy system for cooling, heating, and electricity is established. This model considers various demand response measures of controllable load and electric energy storage and considers how source, load, and storage can work together to reduce energy consumption. After conducting a multi-scenario simulation study, it is determined that this approach may significantly boost the park’s operational dependability and economic performance.