Energy Storage Science and Technology ›› 2023, Vol. 12 ›› Issue (9): 2842-2853.doi: 10.19799/j.cnki.2095-4239.2023.0335

• Energy Storage System and Engineering • Previous Articles     Next Articles

Capacity optimization of thermal storage system for renewable-thermal-storage generation plant in power spot market

Hang YIN1(), Jianfang TANG1, Ji ZHANG1, Hao YAN2(), Xiaorui HU2, Shu WANG2   

  1. 1.CGN New Energy Holding Co. , Ltd. , Beijing 100071, China
    2.Tianjin Haoyu Info Tech Company, Tianjin 300000, China
  • Received:2023-05-10 Revised:2023-07-18 Online:2023-09-05 Published:2023-09-16
  • Contact: Hao YAN E-mail:yinhang36@163.com;15885756684@163.com

Abstract:

Renewable heat-storge generation plant is a new type of generation system that combines renewable generation and thermalstorage to optimize the generation of the plant. It has the advantages of controllability, high efficiency, and clean generation. When the power spot market widely takes place in China's power industry, maximizing the generation revenue of renewable plants in the power market with varying generation prices becomes the most critical task for the generation company. This paper proposes capacity optimization of the thermal storage system for the renewable-thermal-storage generation plant. An optimization generation model of renewable-thermal-storage generation plants is established. Maximizing the plant'srevenue is the objective function of the model. The model considers a variable locational marginal price and renewable accommodation capability at the plant node of the transmission network. Charging and discharging schedules of thermalstorage are optimized as the variables to simulate the optimal generation in the power market with consideration of renewable generation profile, parabolic troughs characteristics, the heat-storage capacity, and their coupling behavior. Based on the optimization generation model, a two-stage evaluation model is designed to optimize the capacity of thermal storage system using the internal return rate as the economic benefit index. Finally, the case study shows that the proposed optimization method can find the optimal thermal storage capacity for the actual planning of the renewable project. In comparison with the conventional economic evaluation method, a method is innovatively realized in the paper for the optimization model and the planning method for the heat storage system. Renewable generation plants will most likely operate in the power market with varying market prices. Therefore, the method can provide an objective and accurate optimal plan of heat storage in a power market for generation companies and energy storage investors and ensure the investment return and reduce financial risk.

Key words: renewable generation, solar thermal storage generation system, thermal storage system, optimizationmodel, powerspot market, economicbenefit

CLC Number: