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: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-01-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/11/1/243 |
| _version_ | 1798024369794973696 |
|---|---|
| author | Xiaogang Guo Zhejing Bao Zhijie Li Wenjun Yan |
| author_facet | Xiaogang Guo Zhejing Bao Zhijie Li Wenjun Yan |
| author_sort | Xiaogang Guo |
| collection | DOAJ |
| description | 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-of-charge (SOC) and discharging/charging power of the energy storage unit are formulated as chance constraints when accommodating uncertainties of RESs, considering mild violations of these constraints are allowed during long-term operation, and a closed-loop online update strategy is performed to adaptively tighten or relax constraints according to the actual deviation probability of violation level from the desired one as well as the current change rate of deviation probability. Numerical studies show that the proposed adaptively constrained stochastic MPC for MG optimal operation is much less conservative compared with the scenario optimization based robust MPC, and also presents a better convergence performance to the desired constraint violation level than other online update strategies. |
| first_indexed | 2024-04-11T18:02:27Z |
| format | Article |
| id | doaj.art-cba2157c30b34bc288f9f875b682a11b |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T18:02:27Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-cba2157c30b34bc288f9f875b682a11b2022-12-22T04:10:27ZengMDPI AGEnergies1996-10732018-01-0111124310.3390/en11010243en11010243Adaptively Constrained Stochastic Model Predictive Control for the Optimal Dispatch of MicrogridXiaogang Guo0Zhejing Bao1Zhijie Li2Wenjun Yan3College of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaShandong Longkou Electricity Supply Company, State Grid Corporation of China, Longkou 267000, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaIn 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-of-charge (SOC) and discharging/charging power of the energy storage unit are formulated as chance constraints when accommodating uncertainties of RESs, considering mild violations of these constraints are allowed during long-term operation, and a closed-loop online update strategy is performed to adaptively tighten or relax constraints according to the actual deviation probability of violation level from the desired one as well as the current change rate of deviation probability. Numerical studies show that the proposed adaptively constrained stochastic MPC for MG optimal operation is much less conservative compared with the scenario optimization based robust MPC, and also presents a better convergence performance to the desired constraint violation level than other online update strategies.http://www.mdpi.com/1996-1073/11/1/243adaptive controlchance constraintsmicrogridstochastic model predictive controldispatching |
| spellingShingle | Xiaogang Guo Zhejing Bao Zhijie Li Wenjun Yan Adaptively Constrained Stochastic Model Predictive Control for the Optimal Dispatch of Microgrid Energies adaptive control chance constraints microgrid stochastic model predictive control dispatching |
| title | Adaptively Constrained Stochastic Model Predictive Control for the Optimal Dispatch of Microgrid |
| title_full | Adaptively Constrained Stochastic Model Predictive Control for the Optimal Dispatch of Microgrid |
| title_fullStr | Adaptively Constrained Stochastic Model Predictive Control for the Optimal Dispatch of Microgrid |
| title_full_unstemmed | Adaptively Constrained Stochastic Model Predictive Control for the Optimal Dispatch of Microgrid |
| title_short | Adaptively Constrained Stochastic Model Predictive Control for the Optimal Dispatch of Microgrid |
| title_sort | adaptively constrained stochastic model predictive control for the optimal dispatch of microgrid |
| topic | adaptive control chance constraints microgrid stochastic model predictive control dispatching |
| url | http://www.mdpi.com/1996-1073/11/1/243 |
| work_keys_str_mv | AT xiaogangguo adaptivelyconstrainedstochasticmodelpredictivecontrolfortheoptimaldispatchofmicrogrid AT zhejingbao adaptivelyconstrainedstochasticmodelpredictivecontrolfortheoptimaldispatchofmicrogrid AT zhijieli adaptivelyconstrainedstochasticmodelpredictivecontrolfortheoptimaldispatchofmicrogrid AT wenjunyan adaptivelyconstrainedstochasticmodelpredictivecontrolfortheoptimaldispatchofmicrogrid |