Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic …
The parametric uncertainties inherent in the models of renewable and sustainable energy
systems (RSESs) make the associated decision-making processes of integrated resource …
systems (RSESs) make the associated decision-making processes of integrated resource …
Dynamic demand control for system frequency regulation: Concept review, algorithm comparison, and future vision
The increasing penetration of renewable energy resources brings a number of uncertainties
to modern power system operation. In particular, the frequent variation of wind power output …
to modern power system operation. In particular, the frequent variation of wind power output …
Intelligent multi-microgrid energy management based on deep neural network and model-free reinforcement learning
In this paper, an intelligent multi-microgrid (MMG) energy management method is proposed
based on deep neural network (DNN) and model-free reinforcement learning (RL) …
based on deep neural network (DNN) and model-free reinforcement learning (RL) …
Incentive-based demand response for smart grid with reinforcement learning and deep neural network
R Lu, SH Hong - Applied energy, 2019 - Elsevier
Balancing electricity generation and consumption is essential for smoothing the power grids.
Any mismatch between energy supply and demand would increase costs to both the service …
Any mismatch between energy supply and demand would increase costs to both the service …
Novel linearized power flow and linearized OPF models for active distribution networks with application in distribution LMP
The locational marginal price (LMP) methodology has been discussed for distribution
networks/systems under the smart grid initiative. In this paper, a new distribution LMP …
networks/systems under the smart grid initiative. In this paper, a new distribution LMP …
Research on multi-energy collaborative operation optimization of integrated energy system considering carbon trading and demand response
M Yang, Y Liu - Energy, 2023 - Elsevier
Integrated energy systems (IES) have been applied to raise the efficiency of energy
utilization and facilitate the sustainable transition of society and energy system. To further …
utilization and facilitate the sustainable transition of society and energy system. To further …
Analytical method to aggregate multi-machine SFR model with applications in power system dynamic studies
The system frequency response (SFR) model describes the average network frequency
response after a disturbance and has been applied to a wide variety of dynamic studies …
response after a disturbance and has been applied to a wide variety of dynamic studies …
Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process
Worldwide natural gas consumption has increased significantly, especially for power
generation in electricity systems with the gas-to-power (G2P) process of natural gas fired …
generation in electricity systems with the gas-to-power (G2P) process of natural gas fired …
Economic-emission dispatch problem in integrated electricity and heat system considering multi-energy demand response and carbon capture Technologies
D Yang, Y Xu, X Liu, C Jiang, F Nie, Z Ran - Energy, 2022 - Elsevier
To combat global warming caused by excessive CO 2 emissions, it is critical to achieving
low-carbon economic operation of integrated electricity and heat systems (IEHS). Thermal …
low-carbon economic operation of integrated electricity and heat systems (IEHS). Thermal …
Incentive-based demand response considering hierarchical electricity market: A Stackelberg game approach
This paper proposes a novel incentive-based demand response model from the view of a
grid operator to enable system-level dispatch of demand response resources. The model …
grid operator to enable system-level dispatch of demand response resources. The model …