Open AccessCo‐allocation of solar field and thermal energy storage for CSP plants in wind‐integrated power system
Author(s) -
Wang Yongcan,
Lou Suhua,
Wu Yaowu,
Wang Shaorong
Publication year - 2018
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2018.5224
Subject(s) - wind power , thermal energy storage , environmental science , field (mathematics) , concentrated solar power , thermal power station , thermal , power (physics) , energy storage , solar energy , computer science , nuclear engineering , automotive engineering , process engineering , meteorology , electrical engineering , engineering , physics , mathematics , quantum mechanics , pure mathematics , thermodynamics
Concentrating solar power (CSP) plants produce electricity without any pollutant emission, which is one of the most attractive alternatives to fossil fuels. The thermal energy storage (TES) benefits CSP plants to produce electricity during temporary weather transients and peak‐load demand hours. However, the main drawback of the CSP plants is the high investment costs. To improve the economic viability, it is necessary to design CSP plants appropriately. In this study, an optimal co‐allocation model of solar field and TES for CSP plants considering with the operation demand of power system is developed to deal with the tradeoff between investment costs and benefits. To consider realistic operating constraints account for the interaction between hourly variability, the uncertainties of solar irradiation and wind power are characterised by a set of scenarios. In addition, the large number of scenarios is reduced to relieve the computational burden. The validity of the proposed model is demonstrated by case study results.