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Power systems optimization under uncertainty: A review of methods and applications
Electric power systems and the companies and customers that interact with them are
experiencing increasing levels of uncertainty due to factors such as renewable energy …
experiencing increasing levels of uncertainty due to factors such as renewable energy …
[HTML][HTML] Distributionally robust optimization: A review on theory and applications
In this paper, we survey the primary research on the theory and applications of
distributionally robust optimization (DRO). We start with reviewing the modeling power and …
distributionally robust optimization (DRO). We start with reviewing the modeling power and …
Aggregator-network coordinated peer-to-peer multi-energy trading via adaptive robust stochastic optimization
This paper proposes a new peer-to-peer (P2P) trading framework for a coupled multi-energy
system comprising a three-phase unbalanced distribution network (DN) and a district …
system comprising a three-phase unbalanced distribution network (DN) and a district …
A two-stage distributionally robust optimization model for P2G-CCHP microgrid considering uncertainty and carbon emission
The utilization of energy efficient combined cooling heat and power (CCHP) microgrid
systems provide an opportunity for us to considering both the increase of economic benefits …
systems provide an opportunity for us to considering both the increase of economic benefits …
Modeling and operation optimization of hydrogen-based integrated energy system with refined power-to-gas and carbon-capture-storage technologies under carbon …
Q Wu, C Li - Energy, 2023 - Elsevier
As a promising solution to realize the energetic complementarity and energy cascade
utilization, integrated energy system with a large-scale integration of renewable energy …
utilization, integrated energy system with a large-scale integration of renewable energy …
Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages
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 …
Data-driven distributionally robust co-optimization of P2P energy trading and network operation for interconnected microgrids
This paper proposes a data-driven distributionally robust co-optimization model for the peer-
to-peer (P2P) energy trading and network operation of interconnected microgrids (MGs). In …
to-peer (P2P) energy trading and network operation of interconnected microgrids (MGs). In …
[HTML][HTML] Power system restoration with large renewable Penetration: State-of-the-Art and future trends
The catastrophic blackout events and ever-increasing penetration of renewable power
generation highlight an advanced restoration strategy to effectively and reliably employ …
generation highlight an advanced restoration strategy to effectively and reliably employ …
On distributionally robust chance constrained programs with Wasserstein distance
This paper studies a distributionally robust chance constrained program (DRCCP) with
Wasserstein ambiguity set, where the uncertain constraints should be satisfied with a …
Wasserstein ambiguity set, where the uncertain constraints should be satisfied with a …
Confidence interval based distributionally robust real-time economic dispatch approach considering wind power accommodation risk
This article proposes a confidence interval based distributionally robust real-time economic
dispatch (CI-DRED) approach, which considers the risk related to accommodating wind …
dispatch (CI-DRED) approach, which considers the risk related to accommodating wind …