Open Access

ARTICLE

Low-Carbon Economic Dispatch Strategy for Integrated Energy Systems under Uncertainty Counting CCS-P2G and Concentrating Solar Power Stations

Zhihui Feng¹, Jun Zhang¹, Jun Lu¹, Zhongdan Zhang¹, Wangwang Bai¹, Long Ma¹, Haonan Lu², Jie Lin^2,*

1 Institute of Economics and Technology, State Grid Gansu Electric Power Corporation, Lanzhou, 730050, China
2 College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China

* Corresponding Author: Jie Lin. Email:

(This article belongs to the Special Issue: Solar and Thermal Energy Systems)

Energy Engineering 2025, 122(4), 1531-1560. https://doi.org/10.32604/ee.2025.060795

Received 10 November 2024; Accepted 17 February 2025; Issue published 31 March 2025

Abstract

In the background of the low-carbon transformation of the energy structure, the problem of operational uncertainty caused by the high proportion of renewable energy sources and diverse loads in the integrated energy systems (IES) is becoming increasingly obvious. In this case, to promote the low-carbon operation of IES and renewable energy consumption, and to improve the IES anti-interference ability, this paper proposes an IES scheduling strategy that considers CCS-P2G and concentrating solar power (CSP) station. Firstly, CSP station, gas hydrogen doping mode and variable hydrogen doping ratio mode are applied to IES, and combined with CCS-P2G coupling model, the IES low-carbon economic dispatch model is established. Secondly, the stepped carbon trading mechanism is applied, and the sensitivity analysis of IES carbon trading is carried out. Finally, an IES optimal scheduling strategy based on fuzzy opportunity constraints and an IES risk assessment strategy based on CVaR theory are established. The simulation shows that the gas-hydrogen doping model proposed in this paper reduces the operating cost and carbon emission of IES by 1.32% and 7.17%, and improves the carbon benefit by 5.73%; variable hydrogen doping ratio model reduces the operating cost and carbon emission of IES by 3.75% and 1.70%, respectively; CSP stations reduce 19.64% and 38.52% of the operating costs of IES and 1.03% and 1.80% of the carbon emissions of IES respectively compared to equal-capacity photovoltaic and wind turbines; the baseline price of carbon trading of IES and its rate of change jointly affect the carbon emissions of IES; evaluating the anti-interference capability of IES through trapezoidal fuzzy number and weighting coefficients, enabling IES to guarantee operation at the lowest cost.

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Keywords

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