IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2023i1p117-d1307059.html
   My bibliography  Save this article

Economic Dispatch between Distribution Grids and Virtual Power Plants under Voltage Security Constraints

Author

Listed:
  • Tiankai Yang

    (College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China)

  • Jixiang Wang

    (College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China)

  • Yongliang Liang

    (School of Electrical Engineering, Shandong University, Jinan 250061, China)

  • Chuan Xiang

    (College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China)

  • Chao Wang

    (Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110055, China)

Abstract

Due to the high penetration of virtual power plants (VPPs), the bi-directional power flow between VPPs and active distribution grids makes the grid operation complex. Without congestion management, the operation schedule only considers the economic benefits, and power flow constraints might be violated. Hence, it is necessary to conduct power interaction within the operation constraints. This paper proposes a coordinated economic dispatch method under voltage security constraints. The linear expressions were derived by simplifying the AC power flow equations to reduce the computation complicity. Then, optimal economic dispatch models with voltage security constraints were established for the active distribution grid and VPPs, respectively. Meanwhile, the transacted power and clearing price were set as the communication variables, and a coordinated strategy was proposed for the overall optimal goal. The modified IEEE 33-node and PG&E-node distribution grids were utilized for the simulations, and the results affirmed the validity of the proposed method.

Suggested Citation

  • Tiankai Yang & Jixiang Wang & Yongliang Liang & Chuan Xiang & Chao Wang, 2023. "Economic Dispatch between Distribution Grids and Virtual Power Plants under Voltage Security Constraints," Energies, MDPI, vol. 17(1), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:17:y:2023:i:1:p:117-:d:1307059
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/1/117/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/1/117/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yetuo Tan & Yongming Zhi & Zhengbin Luo & Honggang Fan & Jun Wan & Tao Zhang, 2023. "Optimal Scheduling of Virtual Power Plant with Flexibility Margin Considering Demand Response and Uncertainties," Energies, MDPI, vol. 16(15), pages 1-14, August.
    2. Christoph M. Flath & Jens P. Ilg & Sebastian Gottwalt & Hartmut Schmeck & Christof Weinhardt, 2014. "Improving Electric Vehicle Charging Coordination Through Area Pricing," Transportation Science, INFORMS, vol. 48(4), pages 619-634, November.
    3. Wu, Chuantao & Lin, Xiangning & Sui, Quan & Wang, Zhixun & Feng, Zhongnan & Li, Zhengtian, 2021. "Two-stage self-scheduling of battery swapping station in day-ahead energy and frequency regulation markets," Applied Energy, Elsevier, vol. 283(C).
    4. Pandžić, Hrvoje & Kuzle, Igor & Capuder, Tomislav, 2013. "Virtual power plant mid-term dispatch optimization," Applied Energy, Elsevier, vol. 101(C), pages 134-141.
    5. Wang, Jianxiao & Zhong, Haiwang & Wu, Chenye & Du, Ershun & Xia, Qing & Kang, Chongqing, 2019. "Incentivizing distributed energy resource aggregation in energy and capacity markets: An energy sharing scheme and mechanism design," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pin-Han Chen & Cheng-Han Lee & Jun-Yi Wu & Wei-Sheng Chen, 2023. "Perspectives on Taiwan’s Pathway to Net-Zero Emissions," Sustainability, MDPI, vol. 15(6), pages 1-11, March.
    2. Wang, Lu & Gu, Wei & Wu, Zhi & Qiu, Haifeng & Pan, Guangsheng, 2020. "Non-cooperative game-based multilateral contract transactions in power-heating integrated systems," Applied Energy, Elsevier, vol. 268(C).
    3. Chen, Yang & Park, Byungkwon & Kou, Xiao & Hu, Mengqi & Dong, Jin & Li, Fangxing & Amasyali, Kadir & Olama, Mohammed, 2020. "A comparison study on trading behavior and profit distribution in local energy transaction games," Applied Energy, Elsevier, vol. 280(C).
    4. Nieta, Agustín A. Sánchez de la & Ilieva, Iliana & Gibescu, Madeleine & Bremdal, Bernt & Simonsen, Stig & Gramme, Eivind, 2021. "Optimal midterm peak shaving cost in an electricity management system using behind customers’ smart meter configuration," Applied Energy, Elsevier, vol. 283(C).
    5. Song, Yuguang & Xia, Mingchao & Yang, Liu & Chen, Qifang & Su, Su, 2023. "Multi-granularity source-load-storage cooperative dispatch based on combined robust optimization and stochastic optimization for a highway service area micro-energy grid," Renewable Energy, Elsevier, vol. 205(C), pages 747-762.
    6. Minan Tang & Chenchen Zhang & Yaqi Zhang & Yaguang Yan & Wenjuan Wang & Bo An, 2024. "A Dual-Layer MPC of Coordinated Control of Battery Load Demand and Grid-Side Supply Matching at Electric Vehicle Swapping Stations," Energies, MDPI, vol. 17(4), pages 1-26, February.
    7. Xiangyu Li & Dongmei Zhao & Baicang Guo, 2018. "Decentralized and Collaborative Scheduling Approach for Active Distribution Network with Multiple Virtual Power Plants," Energies, MDPI, vol. 11(11), pages 1-18, November.
    8. Furquan Nadeem & Mohd Asim Aftab & S.M. Suhail Hussain & Ikbal Ali & Prashant Kumar Tiwari & Arup Kumar Goswami & Taha Selim Ustun, 2019. "Virtual Power Plant Management in Smart Grids with XMPP Based IEC 61850 Communication," Energies, MDPI, vol. 12(12), pages 1-20, June.
    9. Wei, Congying & Xu, Jian & Liao, Siyang & Sun, Yuanzhang & Jiang, Yibo & Ke, Deping & Zhang, Zhen & Wang, Jing, 2018. "A bi-level scheduling model for virtual power plants with aggregated thermostatically controlled loads and renewable energy," Applied Energy, Elsevier, vol. 224(C), pages 659-670.
    10. Wu, Chuantao & Zhou, Dezhi & Lin, Xiangning & Sui, Quan & Wei, Fanrong & Li, Zhengtian, 2022. "A novel energy cooperation framework for multi-island microgrids based on marine mobile energy storage systems," Energy, Elsevier, vol. 252(C).
    11. Shabanzadeh, Morteza & Sheikh-El-Eslami, Mohammad-Kazem & Haghifam, Mahmoud-Reza, 2016. "A medium-term coalition-forming model of heterogeneous DERs for a commercial virtual power plant," Applied Energy, Elsevier, vol. 169(C), pages 663-681.
    12. Tan, Zhongfu & Wang, Guan & Ju, Liwei & Tan, Qingkun & Yang, Wenhai, 2017. "Application of CVaR risk aversion approach in the dynamical scheduling optimization model for virtual power plant connected with wind-photovoltaic-energy storage system with uncertainties and demand r," Energy, Elsevier, vol. 124(C), pages 198-213.
    13. Guoqiang Sun & Weihang Qian & Wenjin Huang & Zheng Xu & Zhongxing Fu & Zhinong Wei & Sheng Chen, 2019. "Stochastic Adaptive Robust Dispatch for Virtual Power Plants Using the Binding Scenario Identification Approach," Energies, MDPI, vol. 12(10), pages 1-23, May.
    14. Cui, Dingsong & Wang, Zhenpo & Liu, Peng & Wang, Shuo & Dorrell, David G. & Li, Xiaohui & Zhan, Weipeng, 2023. "Operation optimization approaches of electric vehicle battery swapping and charging station: A literature review," Energy, Elsevier, vol. 263(PE).
    15. Zhou, Dezhi & Wu, Chuantao & Sui, Quan & Lin, Xiangning & Li, Zhengtian, 2022. "A novel all-electric-ship-integrated energy cooperation coalition for multi-island microgrids," Applied Energy, Elsevier, vol. 320(C).
    16. Luo, Zhe & Hong, SeungHo & Ding, YueMin, 2019. "A data mining-driven incentive-based demand response scheme for a virtual power plant," Applied Energy, Elsevier, vol. 239(C), pages 549-559.
    17. Steffen Limmer, 2019. "Evaluation of Optimization-Based EV Charging Scheduling with Load Limit in a Realistic Scenario," Energies, MDPI, vol. 12(24), pages 1-16, December.
    18. Afzal S. Siddiqui & Sauleh A. Siddiqui, 2022. "Ambiguities and nonmonotonicities under prosumer power," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(3), pages 492-532, October.
    19. Guan Wang & Zhongfu Tan & Qingkun Tan & Shenbo Yang & Hongyu Lin & Xionghua Ji & De Gejirifu & Xueying Song, 2019. "Multi-Objective Robust Scheduling Optimization Model of Wind, Photovoltaic Power, and BESS Based on the Pareto Principle," Sustainability, MDPI, vol. 11(2), pages 1-14, January.
    20. Noriko Irie & Ryusei Iwamura & Kaho Sugiura & Naoko Kawahara, 2022. "Siting Renewable Energy Facilities Using a Matching Algorithm: A Case Study in Japan," Land, MDPI, vol. 12(1), pages 1-15, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2023:i:1:p:117-:d:1307059. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.