Resilience-oriented planning of integrated electricity and heat systems: A stochastic distributionally robust optimization approach

Y Zhou, X Li, H Han, Z Wei, H Zang, G Sun, S Chen - Applied Energy, 2024 - Elsevier
The resilience management of energy and power systems is of utmost importance in
mitigating the impact of extreme events, which have resulted in devastating disasters and …

Two-layer multiple scenario optimization framework for integrated energy system based on optimal energy contribution ratio strategy

J Liu, Y Li, Y Ma, R Qin, X Meng, J Wu - Energy, 2023 - Elsevier
Rational design and advanced energy management considering multiple uncertainties are
imperative for the superior integrated energy system (IES). This work proposed a novel two …

Low carbon economic dispatch of integrated energy system considering extended electric heating demand response

M Wu, J Xu, Z Shi - Energy, 2023 - Elsevier
Retrofitting coal-fired units with carbon capture plants is an important means to achieve low-
carbon improvements in integrated energy systems (IES). However, the lack of flexible …

Multi-objective stochastic-robust based selection-allocation-operation cooperative optimization of rural integrated energy systems considering supply-demand multiple …

J Wang, L Zhao, H Lu, C Wei - Renewable Energy, 2024 - Elsevier
The carbon neutrality goal places greater demands on integrated energy system (IES) in
rural areas. In line with this trend, a multi-objective stochastic-robust based selection …

A two-stage robust configuration optimization framework for integrated energy system considering multiple uncertainties

M Yang, Y Liu - Sustainable Cities and Society, 2024 - Elsevier
The optimal configuration of integrated energy system (IES) is the cornerstone of efficient
investment and low-carbon operation, which is of high importance for realizing energy …

Distributed transaction optimization model of multi-integrated energy systems based on nash negotiation

W Fan, Y Fan, X Yao, B Yi, D Jiang, L Wu - Renewable Energy, 2024 - Elsevier
Integrated energy system (IES) can achieve multi energy complementarity, but it still faces
the problem of energy surplus or shortage. Therefore, there are demands for energy sharing …

Stochastic optimisation of district integrated energy systems based on a hybrid probability forecasting model

Y Yan, X Wang, K Li, C Li, C Tian, Z Shao, J Li - Energy, 2024 - Elsevier
Day-ahead scheduling optimisation plays a significant role in solving stable operation
problems of district integrated energy systems (DIESs) by carrying out scheduling …

Distributed robust optimal dispatch of regional integrated energy systems based on ADMM algorithm with adaptive step size

Z Ma, Y Zhou, Y Zheng, L Yang… - Journal of Modern Power …, 2023 - ieeexplore.ieee.org
This paper proposes a distributed robust optimal dispatch model to enhance information
security and interaction among the operators in the regional integrated energy system …

[HTML][HTML] Distributionally robust decarbonizing scheduling considering data-driven ambiguity sets for multi-temporal multi-energy microgrid operation

M Ma, C Lou, X Xu, J Yang, J Cunningham… - … Energy, Grids and …, 2024 - Elsevier
As concerns about environmental sustainability continue to grow, the demand for effective
low-carbon energy management becomes increasingly pressing. This study presents a …

Multi-resource spatio-temporal coordinated voltage regulation for active distribution network with multiple integrated energy stations under uncertainties

C Lv, K Qu, R Liang, G Song - Sustainable Energy, Grids and Networks, 2024 - Elsevier
Integrated energy stations (IESs) are widely spread in power-electronized active distribution
network (ADN) for multi-energy services, and heterogeneous uncertainties from source …