A Day-Ahead Two-Stage Distributed Optimal Scheduling Method for Active Distribution Network Based on ADMM
With the access of a large number of controllable devices in the active distribution network, it is urgent to propose a new optimal dispatching method to adapt to the increasingly complex dispatching operation of the active distribution network. In order to solve this problem, this paper proposes a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2021-05-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201904021 |
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| Summary: | With the access of a large number of controllable devices in the active distribution network, it is urgent to propose a new optimal dispatching method to adapt to the increasingly complex dispatching operation of the active distribution network. In order to solve this problem, this paper proposes a two-stage distributed optimal dispatching method considering the operation costs and network loss of the active distribution network. The first stage is the active power optimization stage, which considers the active power regulation function of controllable resources and takes the minimum operation cost of distribution network as the objective for economic optimal dispatch. The second stage is the reactive power optimization stage. On the basis of the first-stage dispatch, the reactive power regulation function of controllable resources is taken into account, and the reactive power optimization model is established. In order to alleviate the communication burden of the system, the centralized mathematical model of active and reactive power optimization is decomposed into several sub-models by using alternating direction method of multipliers, and the distributed solution of the model is realized by the interaction of expected information between adjacent regions. The simulation results show that the method can effectively reduce the operation cost and network loss of distribution network. |
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| ISSN: | 1004-9649 |