Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
A review on the integration of probabilistic solar forecasting in power systems
As one of the fastest growing renewable energy sources, the integration of solar power
poses great challenges to power systems due to its variable and uncertain nature. As an …
poses great challenges to power systems due to its variable and uncertain nature. As an …
Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand …
A community integrated energy system (CIES) is an important carrier of the energy internet
and smart city in geographical and functional terms. Its emergence provides a new solution …
and smart city in geographical and functional terms. Its emergence provides a new solution …
A survey of relaxations and approximations of the power flow equations
The power flow equations relate the power injections and voltages in an electric power
system and are therefore key to many power system optimization and control problems …
system and are therefore key to many power system optimization and control problems …
Energy systems integration in smart districts: robust optimisation of multi-energy flows in integrated electricity, heat and gas networks
Smart districts can provide flexibility from emerging distributed multi-energy technologies,
thus bringing benefits to the district and the wider energy system. However, due to …
thus bringing benefits to the district and the wider energy system. However, due to …
Optimal operation of regional microgrids with renewable and energy storage: Solution robustness and nonanticipativity against uncertainties
Due to prevailing uncertainties of renewable energy and time coupling constraints of energy
storage (ES), robustness and nonanticipativity of scheduling results directly influence the …
storage (ES), robustness and nonanticipativity of scheduling results directly influence the …
Wasserstein metric based distributionally robust approximate framework for unit commitment
This paper proposed a Wasserstein metric-based distributionally robust approximate
framework (WDRA), for unit commitment problem to manage the risk from uncertain wind …
framework (WDRA), for unit commitment problem to manage the risk from uncertain wind …
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 …
Data-driven adaptive robust unit commitment under wind power uncertainty: A Bayesian nonparametric approach
C Ning, F You - IEEE Transactions on Power Systems, 2019 - ieeexplore.ieee.org
This paper proposes a novel data-driven adaptive robust optimization (ARO) framework for
the unit commitment (UC) problem integrating wind power into smart grids. By leveraging a …
the unit commitment (UC) problem integrating wind power into smart grids. By leveraging a …
Multi-stage robust dispatch considering demand response under decision-dependent uncertainty
Demand response (DR) programs create incentives to effectively exploit the hidden
operational flexibility of loads for better supporting power system operations. However, DR …
operational flexibility of loads for better supporting power system operations. However, DR …