A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Short-term Transmission Maintenance Scheduling Considering Network Topology Optimization
With the increasing penetration of renewable energy sources, transmission maintenance scheduling (TMS) will have a larger impact on the accommodation of wind power. Meanwhile, the more flexible transmission network topology owing to the network topology optimization (NTO) technique can ensure the secure and economic operation of power systems. This paper proposes a TMS model considering NTO to decrease the wind curtailment without adding control devices. The problem is formulated as a two-stage stochastic mixed-integer programming model. The first stage arranges the maintenance periods of transmission lines. The second stage optimizes the transmission network topology to minimize the maintenance cost and system operation in different wind speed scenarios. The proposed model cannot be solved efficiently with off-the-shelf solvers due to the binary variables in both stages. Therefore, the progressive hedging algorithm is applied. The results on the modified IEEE RTS-79 system show that the proposed method can reduce the negative impact of transmission maintenance on wind accommodation by 65.49%, which proves its effectiveness.
Short-term Transmission Maintenance Scheduling Considering Network Topology Optimization
With the increasing penetration of renewable energy sources, transmission maintenance scheduling (TMS) will have a larger impact on the accommodation of wind power. Meanwhile, the more flexible transmission network topology owing to the network topology optimization (NTO) technique can ensure the secure and economic operation of power systems. This paper proposes a TMS model considering NTO to decrease the wind curtailment without adding control devices. The problem is formulated as a two-stage stochastic mixed-integer programming model. The first stage arranges the maintenance periods of transmission lines. The second stage optimizes the transmission network topology to minimize the maintenance cost and system operation in different wind speed scenarios. The proposed model cannot be solved efficiently with off-the-shelf solvers due to the binary variables in both stages. Therefore, the progressive hedging algorithm is applied. The results on the modified IEEE RTS-79 system show that the proposed method can reduce the negative impact of transmission maintenance on wind accommodation by 65.49%, which proves its effectiveness.
Short-term Transmission Maintenance Scheduling Considering Network Topology Optimization
Weixin Zhang (author) / Bo Hu (author) / Kaigui Xie (author) / Changzheng Shao (author) / Tao Niu (author) / Jiahao Yan (author) / Lvbin Peng (author) / Maosen Cao (author) / Yue Sun (author)
2022
Article (Journal)
Electronic Resource
Unknown
Mixed-integer linear programming , network topology optimization , progressive hedging algorithm , stochastic optimization , transmission maintenance scheduling , wind curtailment , Production of electric energy or power. Powerplants. Central stations , TK1001-1841 , Renewable energy sources , TJ807-830
Metadata by DOAJ is licensed under CC BY-SA 1.0
Structural Topology Optimization Considering Complexity
| British Library Conference Proceedings | 2017
Pavement Network Maintenance Optimization Considering Multidimensional Condition Data
| Online Contents | 2012