Optimal Real-Time Scheduling of Wind Integrated Power System Presented with Storage and Wind Forecast Uncertainties
The volatility of wind power poses great challenges to the operation of power systems. This paper deals with the economic dispatch problems presented by energy storage in wind integrated systems. A policy iteration algorithm for deriving the cost optimal policy of real-time scheduling is proposed, t...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2015-02-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/8/2/1080 |
| _version_ | 1818007674369867776 |
|---|---|
| author | Yuchong Huo Ping Jiang Yuan Zhu Shuang Feng Xi Wu |
| author_facet | Yuchong Huo Ping Jiang Yuan Zhu Shuang Feng Xi Wu |
| author_sort | Yuchong Huo |
| collection | DOAJ |
| description | The volatility of wind power poses great challenges to the operation of power systems. This paper deals with the economic dispatch problems presented by energy storage in wind integrated systems. A policy iteration algorithm for deriving the cost optimal policy of real-time scheduling is proposed, taking the effect of wind forecast uncertainties into account. First, energy loss and use of fast-ramping generation are selected as the performance metrics. Then, a policy iteration algorithm is developed using the Perturbed Markov decision process. This algorithm has a two-level optimization structure in which both the long-term and short-term behaviors of real-time scheduling policy are optimized. In addition, a unified optimal storage control strategy is presented. The feasibility of the proposed methodology is demonstrated via the wind power archive of Electric Reliability Council of Texas (ERCOT). Through comparative numerical experiments, both the performance of the policy iteration algorithm in the short-term and long-term are verified and the consistency, robustness, good convergence and high computational efficiency of the proposed algorithm are also corroborated. |
| first_indexed | 2024-04-14T05:19:52Z |
| format | Article |
| id | doaj.art-b05bc26057b44190bb8a1f64499ee238 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T05:19:52Z |
| publishDate | 2015-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b05bc26057b44190bb8a1f64499ee2382022-12-22T02:10:15ZengMDPI AGEnergies1996-10732015-02-01821080110010.3390/en8021080en8021080Optimal Real-Time Scheduling of Wind Integrated Power System Presented with Storage and Wind Forecast UncertaintiesYuchong Huo0Ping Jiang1Yuan Zhu2Shuang Feng3Xi Wu4School of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaThe volatility of wind power poses great challenges to the operation of power systems. This paper deals with the economic dispatch problems presented by energy storage in wind integrated systems. A policy iteration algorithm for deriving the cost optimal policy of real-time scheduling is proposed, taking the effect of wind forecast uncertainties into account. First, energy loss and use of fast-ramping generation are selected as the performance metrics. Then, a policy iteration algorithm is developed using the Perturbed Markov decision process. This algorithm has a two-level optimization structure in which both the long-term and short-term behaviors of real-time scheduling policy are optimized. In addition, a unified optimal storage control strategy is presented. The feasibility of the proposed methodology is demonstrated via the wind power archive of Electric Reliability Council of Texas (ERCOT). Through comparative numerical experiments, both the performance of the policy iteration algorithm in the short-term and long-term are verified and the consistency, robustness, good convergence and high computational efficiency of the proposed algorithm are also corroborated.http://www.mdpi.com/1996-1073/8/2/1080energy storageforecast errorPerturbed Markov decision processpolicy iteration algorithmreal-time scheduling |
| spellingShingle | Yuchong Huo Ping Jiang Yuan Zhu Shuang Feng Xi Wu Optimal Real-Time Scheduling of Wind Integrated Power System Presented with Storage and Wind Forecast Uncertainties Energies energy storage forecast error Perturbed Markov decision process policy iteration algorithm real-time scheduling |
| title | Optimal Real-Time Scheduling of Wind Integrated Power System Presented with Storage and Wind Forecast Uncertainties |
| title_full | Optimal Real-Time Scheduling of Wind Integrated Power System Presented with Storage and Wind Forecast Uncertainties |
| title_fullStr | Optimal Real-Time Scheduling of Wind Integrated Power System Presented with Storage and Wind Forecast Uncertainties |
| title_full_unstemmed | Optimal Real-Time Scheduling of Wind Integrated Power System Presented with Storage and Wind Forecast Uncertainties |
| title_short | Optimal Real-Time Scheduling of Wind Integrated Power System Presented with Storage and Wind Forecast Uncertainties |
| title_sort | optimal real time scheduling of wind integrated power system presented with storage and wind forecast uncertainties |
| topic | energy storage forecast error Perturbed Markov decision process policy iteration algorithm real-time scheduling |
| url | http://www.mdpi.com/1996-1073/8/2/1080 |
| work_keys_str_mv | AT yuchonghuo optimalrealtimeschedulingofwindintegratedpowersystempresentedwithstorageandwindforecastuncertainties AT pingjiang optimalrealtimeschedulingofwindintegratedpowersystempresentedwithstorageandwindforecastuncertainties AT yuanzhu optimalrealtimeschedulingofwindintegratedpowersystempresentedwithstorageandwindforecastuncertainties AT shuangfeng optimalrealtimeschedulingofwindintegratedpowersystempresentedwithstorageandwindforecastuncertainties AT xiwu optimalrealtimeschedulingofwindintegratedpowersystempresentedwithstorageandwindforecastuncertainties |