Adaptively Constrained Stochastic Model Predictive Control for the Optimal Dispatch of Microgrid
In this paper, an adaptively constrained stochastic model predictive control (MPC) is proposed to achieve less-conservative coordination between energy storage units and uncertain renewable energy sources (RESs) in a microgrid (MG). Besides the economic objective of MG operation, the limits of state...
Main Authors: | Xiaogang Guo, Zhejing Bao, Zhijie Li, Wenjun Yan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-01-01
|
Series: | Energies |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1073/11/1/243 |
Similar Items
-
A recursive Riccati interior-point method for chance-constrained stochastic model predictive control
by: Jingyu Zhang, et al.
Published: (2023-12-01) -
An adaptive-based control law for accurate frequency restoration and economic load dispatch in microgrid with clock drifts
by: Bin Liu, et al.
Published: (2022-08-01) -
Optimal Dispatch of Microgrid with Combined Heat and Power System Considering Environmental Cost
by: Xiuyun Wang, et al.
Published: (2018-09-01) -
Trends of optimal dispatching of microgrid for fishery based on model predictive control
by: Ran Zhao, et al.
Published: (2022-03-01) -
Dispatchable Droop Control Strategy for DC Microgrid
by: Yantao Liu, et al.
Published: (2023-11-01)