Probabilistic optimization techniques in smart power system
Uncertainties are the most significant challenges in the smart power system, necessitating
the use of precise techniques to deal with them properly. Such problems could be effectively …
the use of precise techniques to deal with them properly. Such problems could be effectively …
Using OPF-based operating envelopes to facilitate residential DER services
MZ Liu, LF Ochoa, PKC Wong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The proliferation of residential distributed energy resources (DER), such as solar PV and
batteries, is creating opportunities for DER owners to provide system-level services through …
batteries, is creating opportunities for DER owners to provide system-level services through …
A review of safe reinforcement learning methods for modern power systems
Due to the availability of more comprehensive measurement data in modern power systems,
there has been significant interest in developing and applying reinforcement learning (RL) …
there has been significant interest in developing and applying reinforcement learning (RL) …
Distributionally robust joint chance-constrained dispatch for integrated transmission-distribution systems via distributed optimization
This paper focuses on the distributionally robust dispatch for integrated transmission-
distribution (ITD) systems via distributed optimization. Existing distributed algorithms usually …
distribution (ITD) systems via distributed optimization. Existing distributed algorithms usually …
Distribution electricity pricing under uncertainty
Distribution locational marginal prices (DLMPs) facilitate the efficient operation of low-
voltage electric power distribution systems. We propose an approach to internalize the …
voltage electric power distribution systems. We propose an approach to internalize the …
Coordinating demand response aggregation with LV network operational constraints
High shares of renewable energy resources are increasing the value of using demand
response (DR) mechanisms to enhance the resiliency and efficiency of power system …
response (DR) mechanisms to enhance the resiliency and efficiency of power system …
Demand response aggregation with operating envelope based on data-driven state estimation and sensitivity function signals
With the increasing penetration of renewable energy sources (RES), the value of the
demand response (DR) draws wide attention. In order to realize the coordinated dispatch of …
demand response (DR) draws wide attention. In order to realize the coordinated dispatch of …
Within-day rolling optimal scheduling problem for active distribution networks by multi-objective evolutionary algorithm based on decomposition integrating with …
J Zhang, Z Li, B Wang - Energy, 2021 - Elsevier
The prediction accuracy plays a very important role in the optimal dispatch problem of active
distribution networks (ADN). Basing on the fact that the prediction accuracy will be greatly …
distribution networks (ADN). Basing on the fact that the prediction accuracy will be greatly …
Strategies for network-safe load control with a third-party aggregator and a distribution operator
When providing bulk power system services, a third-party aggregator could inadvertently
cause operational issues at the distribution level. We propose a coordination architecture in …
cause operational issues at the distribution level. We propose a coordination architecture in …
Arbitrage with power factor correction using energy storage
The importance of reactive power compensation for power factor (PF) correction will
significantly increase with the large-scale integration of distributed generation interfaced via …
significantly increase with the large-scale integration of distributed generation interfaced via …