Optimal Scheduling of Microgrid Based on Deep Deterministic Policy Gradient and Transfer Learning
Microgrid has flexible composition, a complex operation mechanism, and a large amount of data while operating. However, optimization methods of microgrid scheduling do not effectively accumulate and utilize the scheduling knowledge at present. This paper
Luqin Fan +5 more
doaj +4 more sources
At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the ...
Zhengjie Li, Zhisheng Zhang
doaj +2 more sources
Optimal Scheduling in General Multi-Queue System by Combining Simulation and Neural Network Techniques [PDF]
The problem of optimal scheduling in a system with parallel queues and a single server has been extensively studied in queueing theory. However, such systems have mostly been analysed by assuming homogeneous attributes of arrival and service processes ...
Dmitry Efrosinin +2 more
doaj +2 more sources
Optimal Control Algorithms and Their Analysis for Short-Term Scheduling in Manufacturing Systems
Current literature presents optimal control computational algorithms with regard to state, control, and conjunctive variable spaces. This paper first analyses the advantages and limitations of different optimal control computational methods and ...
Boris Sokolov +2 more
doaj +3 more sources
Model predictive control is one of the key technologies to realize the multi-time scale optimal scheduling of integrated energy system. However, the traditional centralized model predictive control has the high model order, a large amount of online ...
Keyong Hu +4 more
doaj +3 more sources
An Optimal Scheduling Method for Multi-Energy Hub Systems Using Game Theory
The optimal scheduling of multi-energy hub systems plays an important role in the safety, stability, and economic operation of the system. However, due to the strong uncertainty of renewable energy access, serious coupling, and the interaction among ...
Yu Huang +4 more
doaj +2 more sources
Application of hyperbolic partial differential equations in global optimal scheduling of UAV
The global optimal scheduling of UAV (unmanned aerial vehicle) navigation channel is studied. Firstly, a multi-channel optimal scheduling mathematical model based on the HPDEs (hyperbolic partial differential equations) wave combination optimization is ...
Chong Tian, Kuo-Chi Chang, JinSong Chen
doaj +2 more sources
Optimal Scheduling of Integrated Demand Response-Enabled Integrated Energy Systems with Uncertain Renewable Generations: A Stackelberg Game Approach [PDF]
In order to balance the interests of integrated energy operator (IEO) and users, a novel Stackelberg game-based optimization framework is proposed for the optimal scheduling of integrated demand response (IDR)-enabled integrated energy systems with ...
Yang Li +3 more
semanticscholar +1 more source
Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-Based Multi-Period Forecasting [PDF]
In order to reduce the negative impact of the uncertainty of load and renewable energies outputs on microgrid operation, an optimal scheduling model is proposed for isolated microgrids by using automated reinforcement learning-based multi-period ...
Yang Li, Ruinong Wang, Zhen Yang
semanticscholar +1 more source
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach [PDF]
Multi-uncertainties from power sources and loads have brought significant challenges to the stable demand supply of various resources at islands. To address these challenges, a comprehensive scheduling framework is proposed by introducing a model-free ...
Yang Li +3 more
semanticscholar +1 more source

