A nonlinear model-based dynamic optimal scheduling of a grid-connected integrated energy system

Fang Liu, Qiu Mo, Yongwen Yang, Pai Li, Shuai Wang and Yanping Xu

Energy, 2022, vol. 243, issue C

Abstract: In this study, a nonlinear model-based dynamic optimal coordinated scheduling strategy was developed for a grid-connected integrated energy microgrid on a university campus. This integrated energy system (IES) consists of power grid, photovoltaic/wind power generator, buildings, electric batteries, and heat pumps with thermal energy storages (HPTES). Peak load shifting index, a new indicator, is proposed for evaluating the capability of energy storages for peak-shaving and valley-filling of the grid power and thermal load, and the stability of the power grid with renewables. Comparison of the performances of IES under three scenarios shows that through adopting high-efficient HPTES together with an optimal coordinated scheduling strategy, the penetration rate of renewable energy and the stability of IES can be enhanced significantly; while the operation cost, peak power, grid interactive power, peak load shifting index and CO2 emissions can be reduced significantly. Moreover, compared with the optimal scheduling strategy previously developed based on a linear model, the optimal scheduling strategy developed based on a dynamic nonlinear model can help to reduce the grid-connected time of the IES containing HPTES. This study would be useful for increasing the penetration rate of renewables and the stability of grid, as well as reducing the grid-disconnected time of an IES at a low operation cost in practice.

Keywords: Integrated energy systems; Dynamic nonlinear model; Heat pump with thermal storages; Optimal coordinated scheduling; Penetration of renewable energy; Stability of grid (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:243:y:2022:i:c:s0360544222000184

DOI: 10.1016/j.energy.2022.123115

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