A new distributed collaborative control for double-layer dynamic optimal scheduling of energy network
In this paper, the problem of energy planning in energy network is studied, and an energy optimal scheduling strategy and a dynamic two-layer distributed cooperative control method are proposed. First of all, in the upper layer, the optimal scheduling model of primary energy including renewable ener...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-08-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722004711 |
| _version_ | 1798033909947039744 |
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| author | Yanhong Luo Hongbo Yuan Xinying Wang Ye Li Jiangping Jing Tao Da |
| author_facet | Yanhong Luo Hongbo Yuan Xinying Wang Ye Li Jiangping Jing Tao Da |
| author_sort | Yanhong Luo |
| collection | DOAJ |
| description | In this paper, the problem of energy planning in energy network is studied, and an energy optimal scheduling strategy and a dynamic two-layer distributed cooperative control method are proposed. First of all, in the upper layer, the optimal scheduling model of primary energy including renewable energy is designed, and the thermal inertia of heat load is taken into account, which reduces the cost of energy supply, improves the consumption of new energy and promotes carbon neutralization, so that the micro-energy network can operate economically and environmentally friendly. From the point of view of automatic generation control (AGC), the lower layer uses Linear Quadratic Gaussian (LQG) to realize the real-time control of single-area AGC units and ensure the stable operation of the network. Secondly, according to the control deviation of each area, a dynamic stratification strategy is designed, which can not only ensure the effect, but also save resources. |
| first_indexed | 2024-04-11T20:37:02Z |
| format | Article |
| id | doaj.art-6be00b2ddf51456ba8a3ddfd658bab1d |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-11T20:37:02Z |
| publishDate | 2022-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-6be00b2ddf51456ba8a3ddfd658bab1d2022-12-22T04:04:20ZengElsevierEnergy Reports2352-48472022-08-018847856A new distributed collaborative control for double-layer dynamic optimal scheduling of energy networkYanhong Luo0Hongbo Yuan1Xinying Wang2Ye Li3Jiangping Jing4Tao Da5Department of Electric Engineering, Northeastern University, Shenyang 110819, China; Corresponding author.Department of Electric Engineering, Northeastern University, Shenyang 110819, ChinaArtificial Intelligence Application Laboratory, China Electric Power Research Institute, Beijing 100192, ChinaArtificial Intelligence Application Laboratory, China Electric Power Research Institute, Beijing 100192, ChinaPower Dispatching Department, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211106, ChinaPower Dispatching Department, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211106, ChinaIn this paper, the problem of energy planning in energy network is studied, and an energy optimal scheduling strategy and a dynamic two-layer distributed cooperative control method are proposed. First of all, in the upper layer, the optimal scheduling model of primary energy including renewable energy is designed, and the thermal inertia of heat load is taken into account, which reduces the cost of energy supply, improves the consumption of new energy and promotes carbon neutralization, so that the micro-energy network can operate economically and environmentally friendly. From the point of view of automatic generation control (AGC), the lower layer uses Linear Quadratic Gaussian (LQG) to realize the real-time control of single-area AGC units and ensure the stable operation of the network. Secondly, according to the control deviation of each area, a dynamic stratification strategy is designed, which can not only ensure the effect, but also save resources.http://www.sciencedirect.com/science/article/pii/S2352484722004711Optimal schedulingEnergy networkCarbon neutralizationAGC |
| spellingShingle | Yanhong Luo Hongbo Yuan Xinying Wang Ye Li Jiangping Jing Tao Da A new distributed collaborative control for double-layer dynamic optimal scheduling of energy network Energy Reports Optimal scheduling Energy network Carbon neutralization AGC |
| title | A new distributed collaborative control for double-layer dynamic optimal scheduling of energy network |
| title_full | A new distributed collaborative control for double-layer dynamic optimal scheduling of energy network |
| title_fullStr | A new distributed collaborative control for double-layer dynamic optimal scheduling of energy network |
| title_full_unstemmed | A new distributed collaborative control for double-layer dynamic optimal scheduling of energy network |
| title_short | A new distributed collaborative control for double-layer dynamic optimal scheduling of energy network |
| title_sort | new distributed collaborative control for double layer dynamic optimal scheduling of energy network |
| topic | Optimal scheduling Energy network Carbon neutralization AGC |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722004711 |
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