Optimal operation of integrated electricity and heat system: A review of modeling and solution methods
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 …
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 …
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 …
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
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 …
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 …
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
Abstract Peer-to-peer (P2P) energy trading provides potential economic benefits to
prosumers. The prosumers are responsible for managing their own resources/reserves …
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 …
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 …
The integration of large-scale weather-dependent renewable energy (RE) changes how
power grids operate, particularly for peak shaving dispatch. This paper uses flexible …
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
The combined operations of power distribution and district heating networks catalyze
ongoing progressions to smart cities. This paper proposes a distributionally robust energy …
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 …
short-term constraints and long-term uncertainty is proposed. The model allows to accurately …