Transmission and distribution network-constrained large-scale demand response based on locational customer directrix load for accommodating renewable energy
Large-scale demand response (DR) is a promising solution to mitigate the problem of
renewable energy (RE) curtailment with the rising proliferation of RE in both the …
renewable energy (RE) curtailment with the rising proliferation of RE in both the …
Unit commitment problem for transmission system, models and approaches: A review
The realistic power systems include several types of controllers in transmission lines,
different types of energy storage systems (ESSs), and integration of various renewable …
different types of energy storage systems (ESSs), and integration of various renewable …
Artificial intelligence-based methods for renewable power system operation
Carbon neutrality goals are driving the increased use of renewable energy (RE). Large-
scale use of RE requires accurate energy generation forecasts; optimized power dispatch …
scale use of RE requires accurate energy generation forecasts; optimized power dispatch …
Confidence-aware graph neural networks for learning reliability assessment commitments
Reliability Assessment Commitment (RAC) Optimization is increasingly important in grid
operations due to larger shares of renewable generations in the generation mix and …
operations due to larger shares of renewable generations in the generation mix and …
[HTML][HTML] Day-ahead strategic bidding of multi-energy microgrids participating in electricity, thermal energy, and hydrogen markets: A stochastic bi-level approach
This paper proposes a stochastic strategic bidding approach for a multi-energy microgrid
(MEMG) to optimize its participation across electricity, thermal energy, and hydrogen …
(MEMG) to optimize its participation across electricity, thermal energy, and hydrogen …
Reinforcement learning and mixed-integer programming for power plant scheduling in low carbon systems: Comparison and hybridisation
Decarbonisation is driving dramatic growth in renewable power generation. This increases
uncertainty in the load to be served by power plants and makes their efficient scheduling …
uncertainty in the load to be served by power plants and makes their efficient scheduling …
[HTML][HTML] Feasible-enabled integer variable warm start strategy for security-constrained unit commitment
Security-constrained unit commitment (SCUC) is a crucial procedure in power system
planning and operation. As renewable resources are integrated, it is suggested to perform …
planning and operation. As renewable resources are integrated, it is suggested to perform …
Integrated market scheduling with flexibility options
NE Koltsaklis, J Knápek - Renewable and Sustainable Energy Reviews, 2025 - Elsevier
This work presents a generic optimization framework using advanced mixed-integer
programming techniques to integrate day-ahead and balancing markets with distributed …
programming techniques to integrate day-ahead and balancing markets with distributed …
Cost allocation for inertia and frequency response ancillary services
The reduction in system inertia is creating an important market for frequency-containment
Ancillary Services (AS) such as enhanced frequency response (eg, provided by battery …
Ancillary Services (AS) such as enhanced frequency response (eg, provided by battery …
Revisit power system dispatch: Concepts, models, and solutions
Power system dispatch is a general concept with a wide range of applications. It is a special
category of optimization problems that determine the operation pattern of the power system …
category of optimization problems that determine the operation pattern of the power system …