Optimal operation of integrated electricity and heat system: A review of modeling and solution methods

M Zhang, Q Wu, J Wen, Z Lin, F Fang… - … and Sustainable Energy …, 2021 - Elsevier
The optimal operation of the integrated electricity and heat systems (IEHS) can bring
environmental benefits, reduce the operational cost, and achieve high penetration levels of …

Two-stage distributionally robust optimization model of integrated energy system group considering energy sharing and carbon transfer

W Fan, L Ju, Z Tan, X Li, A Zhang, X Li, Y Wang - Applied Energy, 2023 - Elsevier
Due to the small scale and few functions of the single integrated energy system, the
absorption capacity of wind turbine and photovoltaic is limited, the ability to cope with …

Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages

C Chen, X Wu, Y Li, X Zhu, Z Li, J Ma, W Qiu, C Liu… - Applied Energy, 2021 - Elsevier
The optimal scheduling of park-level integrated energy system can improve the efficiency of
energy utilization and promote the consumption level of renewable energy. However, the …

Multi-stage stochastic programming to joint economic dispatch for energy and reserve with uncertain renewable energy

R Lu, T Ding, B Qin, J Ma, X Fang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To address the uncertain renewable energy in the day-ahead optimal dispatch of energy
and reserve, a multi-stage stochastic programming model is established in this paper to …

Multi-time scale optimization scheduling of microgrid considering source and load uncertainty

J Hou, W Yu, Z Xu, Q Ge, Z Li, Y Meng - Electric Power Systems Research, 2023 - Elsevier
With the increase of renewable energy penetration in microgrid and the stochasticity of
customer load, microgrid faces new difficulties in maintaining the smooth power of contact …

Distributionally robust optimization for peer-to-peer energy trading considering data-driven ambiguity sets

X Zhang, S Ge, H Liu, Y Zhou, X He, Z Xu - Applied Energy, 2023 - Elsevier
Abstract Peer-to-peer (P2P) energy trading provides potential economic benefits to
prosumers. The prosumers are responsible for managing their own resources/reserves …

Optimal scheduling for microgrids with hydrogen fueling stations considering uncertainty using data-driven approach

X Wu, S Qi, Z Wang, C Duan, X Wang, F Li - Applied energy, 2019 - Elsevier
Hydrogen fueling stations can convert electricity to hydrogen with onsite hydrogen
production technologies. When using renewables and cheap grid energy, hydrogen fueling …

Wasserstein metric-based two-stage distributionally robust optimization model for optimal daily peak shaving dispatch of cascade hydroplants under renewable …

X Jin, B Liu, S Liao, C Cheng, Y Zhang, Z Zhao, J Lu - Energy, 2022 - Elsevier
The integration of large-scale weather-dependent renewable energy (RE) changes how
power grids operate, particularly for peak shaving dispatch. This paper uses flexible …

Distributionally robust co-optimization of energy and reserve for combined distribution networks of power and district heating

Y Zhou, M Shahidehpour, Z Wei, Z Li… - … on Power Systems, 2019 - ieeexplore.ieee.org
The combined operations of power distribution and district heating networks catalyze
ongoing progressions to smart cities. This paper proposes a distributionally robust energy …

[HTML][HTML] A distributed computing framework for multi-stage stochastic planning of renewable power systems with energy storage as flexibility option

A Flores-Quiroz, K Strunz - Applied Energy, 2021 - Elsevier
An integrated generation, transmission, and energy storage planning model accounting for
short-term constraints and long-term uncertainty is proposed. The model allows to accurately …