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Research on Stochastic Optimal Operation Strategy of Active Distribution Network Considering Intermittent Energy

Author

Listed:
  • Fei Chen

    (Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Dong Liu

    (Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Xiaofang Xiong

    (State Grid Jiangxi Nanchang Power Supply Company, Nanchang 330000, China)

Abstract

Active distribution networks characterized by high flexibility and controllability are an important development mode of future smart grids to be interconnected with large scale distributed generation sources including intermittent energies. However, the uncertainty of intermittent energy and the diversity of controllable devices make the optimal operation of distribution network a challenging issue. In this paper, we propose a stochastic optimal operation strategy for distribution networks with the objective function considering the operation state of the distribution network. Both distributed generations and flexible loads are taken into consideration in our strategy. The uncertainty of the intermittent energy is considered in this paper to obtain an optimized operation and an efficient utilization of intermittent energy under the worst scenario. Then, Benders decomposition is used in this paper to solve the two-stage max-min problem for stochastic optimal operation. Finally, we test the effectiveness of our strategy under different scenarios of the demonstration project of active distribution network located in Guizhou, China.

Suggested Citation

  • Fei Chen & Dong Liu & Xiaofang Xiong, 2017. "Research on Stochastic Optimal Operation Strategy of Active Distribution Network Considering Intermittent Energy," Energies, MDPI, vol. 10(4), pages 1-23, April.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:522-:d:95669
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    References listed on IDEAS

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    1. Ling, Wanshui & Liu, Dong & Yang, Dexiang & Sun, Chen, 2015. "The situation and trends of feeder automation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1138-1147.
    2. Falsafi, Hananeh & Zakariazadeh, Alireza & Jadid, Shahram, 2014. "The role of demand response in single and multi-objective wind-thermal generation scheduling: A stochastic programming," Energy, Elsevier, vol. 64(C), pages 853-867.
    3. Wenpeng Yu & Dong Liu & Yuhui Huang, 2013. "Operation Optimization Based on the Power Supply and Storage Capacity of an Active Distribution Network," Energies, MDPI, vol. 6(12), pages 1-16, December.
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    Cited by:

    1. Pengwei Cong & Wei Tang & Lu Zhang & Bo Zhang & Yongxiang Cai, 2017. "Day-Ahead Active Power Scheduling in Active Distribution Network Considering Renewable Energy Generation Forecast Errors," Energies, MDPI, vol. 10(9), pages 1-20, August.
    2. Xiao Han & Ming Zhou & Gengyin Li & Kwang Y. Lee, 2017. "Optimal Dispatching of Active Distribution Networks Based on Load Equilibrium," Energies, MDPI, vol. 10(12), pages 1-17, December.
    3. Yu Zhang & Xiaohui Song & Yong Li & Zilong Zeng & Chenchen Yong & Denis Sidorov & Xia Lv, 2020. "Two-Stage Active and Reactive Power Coordinated Optimal Dispatch for Active Distribution Network Considering Load Flexibility," Energies, MDPI, vol. 13(22), pages 1-13, November.
    4. Chen Sun & Dong Liu & Yun Wang & Yi You, 2017. "Assessment of Credible Capacity for Intermittent Distributed Energy Resources in Active Distribution Network," Energies, MDPI, vol. 10(8), pages 1-24, July.
    5. Shengmin Tan & Xu Wang & Chuanwen Jiang, 2019. "Privacy-Preserving Energy Scheduling for ESCOs Based on Energy Blockchain Network," Energies, MDPI, vol. 12(8), pages 1-16, April.
    6. Yu Shi & Fei Lv & Xuefeng Gao & Minglei Jiang & Huan Luo & Ruhang Xu, 2023. "A Bi-Level Optimal Operation Model for Small-Scale Active Distribution Networks Considering the Coupling Fluctuation of Spot Electricity Prices and Renewable Energy Sources," Energies, MDPI, vol. 16(11), pages 1-26, June.

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