A configuration optimization framework for renewable energy systems integrating with electric‐heating energy storage in an isolated tourist area

• Main Authors: Chen Lingmin, Wu Jiekang, Li Changjie, Tang Huiling, Mao Xiaoming, Li Kangxing
• Format: Article
• Language: English
• Published: Wiley 2021-06-01
• Series: Energy Science & Engineering
• Subjects: capacity optimization configuration; combined cooling; heating; and power; electric‐heating energy storage; isolated tourist area
• Online Access: https://doi.org/10.1002/ese3.864

Abstract The renewable energy system integrates various power generating units, heating units, energy conversion devices, and energy storage devices, which is an effective way to improve energy efficiency and realize clean energy utilization. In this paper, a renewable energy system integrating with photovoltaic electric power generation systems, wind‐driven generators, gas‐driven generators, gas‐fired boilers, electric chillers, electric and heating energy storage devices is constructed in an isolated tourist area. Considering the complex multi‐energy flows in renewable energy systems, an energy hub with power and heat is established to concentrate and distribute electric and heating energy flow for balancing energy supply and demand in a CCHP system. Introducing the constraints of renewable energy penetration index and energy supply reliability index, a collaborative optimization framework for system configuration is constructed to minimize annual capital cost, fuel cost, and maintenance cost. The simulation results show that the model and algorithm in this paper are feasible and applicable, and the optimization scheme has good economic benefits and optimal performance, which can promote the consumption of renewable energy and reduce the surplus of electric energy and heat energy.