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Multi-Objective Reactive Power Optimization Method for the Distribution Grid with Distributed Generator State Grid Beijing Fangshan Power Supply Company
- Format:
- Book
- Conference/Event
- Author/Creator:
- Wang, Maoze, author.
- Xiao, Wenyu, author.
- Liu, Yujia, author.
- Xu, Zhengwei, author.
- Xia, Yinyong, author.
- Conference Name:
- 2025 2nd International Conference on Sustainable Development and Energy Resources (SDER 2025) (2025-08-01 : Shenzhen, China)
- Language:
- English
- Subjects (All):
- Logistics.
- Optimization.
- Education and training.
- Simulation and modeling.
- Data exchange.
- Tools and equipment.
- Local Subjects:
- Logistics.
- Optimization.
- Education and training.
- Simulation and modeling.
- Data exchange.
- Tools and equipment.
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2026
- Summary:
- To enhance the economic efficiency and operational security of distribution grids, this paper develops a reactive power optimization model that incorporates distributed power sources. The model aims to minimize the costs of reactive-load compensation equipment, reduce voltage deviations, and lower network losses while satisfying operational constraints. To overcome the common drawbacks of the standard genetic algorithmsuch as limited optimization precision and a tendency to converge to local optimafour improvement strategies are introduced. These include an enhanced encoding scheme, an initial population generated via opposition-based learning, an elite retention strategy, and the adaptive adjustment of crossover and mutation rates. Together, these modifications strengthen the algorithm's global search capability.The proposed approach is validated using the IEEE30 node system. Compared with both the conventional genetic algorithm (GA) and an adaptive genetic algorithm, the improved method demonstrates faster convergence and a more robust ability to escape local optima. Simulation results indicate that the suggested algorithm effectively reduces voltage fluctuations and power losses in the network while improving the overall cost-efficiency of grid operation
- Notes:
- Vendor supplied data
- Access Restriction:
- Restricted for use by site license
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