Intelligent optimal dispatching of active distribution network using modified flower pollination algorithm

• Autorzy: Liu Haiqing , Qu Jinmeng , Yang Shanshan , Li Yuancheng

Identyfikatory

DOI

10.24425/aee.2020.131765

• Języki publikacji: EN

Abstrakty

EN

In order to solve the problem of harmonic waves caused by battery energy storage (BES) and distributed generation (DG) inverters in an active distribution network, an intelligent optimal dispatching method based on a modified flower pollination algorithm (MFPA) is proposed. Firstly, the active distribution network dispatching model considering the power quality (PQ) problem caused by BES and DG is proposed. In this model, the objective function considers the additional network loss caused by a harmonic wave, as well as the constraints of the harmonic wave and voltage unbalance. Then, the MFPA is an improvement of a flower pollination algorithm (FPA). Because the MFPA has the characteristics of higher solution accuracy and better convergence than the FPA and it is not easy to fall into local optimal, the MFPA is used to solve the proposed model. Finally, simulation experiments are carried out on IEEE 37 bus and IEEE 123 bus systems, respectively. The experimental results show that this method can achieve satisfactory power quality while optimizing the total active power loss of the branch. The comparative experimental results show that the developed algorithm has better convergence than the FPA.

Słowa kluczowe

EN

active distribution network; flower pollination; optimal dispatching; power quality

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2020
• Tom: Vol. 69, nr 1
• Strony: 159--174
• Opis fizyczny: Bibliogr. 13 poz., rys., tab., wz.

Twórcy

autor

Liu Haiqing

• North China Electric Power University Beijing, China

autor

Qu Jinmeng

• North China Electric Power University Beijing, China

autor

Yang Shanshan

• North China Electric Power University Beijing, China

autor

Li Yuancheng

• North China Electric Power University Beijing, China

Bibliografia

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• [5] Si Jingjing, Research on optimal scheduling strategy of active distribution network based on PSO-BFO algorithm, Lanzhou Jiaotong University (2016).
• [6] Dong Lei, Gong Chengxiao, et al., Distributed multi-objective optimal scheduling of active distribution network based on alternating direction multiplier method, Electric Power Construction (2017).
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• [8] Urvinder Singh, Rohit Salgotra, Pattern Synthesis of Linear Antenna Arrays Using Enhanced Flower Pollination Algorithm, International Journal of Antennas and Propagation (2017).
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• [10] Ong Kok Meng, Ong Pauline, Sia Chee Kiong, Low Ee Soong, Effective moving object tracking using modified flower pollination algorithm for visible image sequences under complicated background, Applied Soft Computing Journal (2019).
• [11] Wang W., He W., Cheng J., et al., Active and reactive power coordinated control strategy of battery energy storage system in active distribution network, Automation, IEEE (2017).
• [12] Rathasamuth W., Nootyaskool S., Comparison solving discrete space on flower pollination algorithm, PSO and GA, International Conference on Knowledge and Smart Technology, IEEE (2016).
• [13] Guo Qing, Hui Xiaobin, Zhang Jiakui, Li Zhengxin, Improved flower pollination algorithm with multimode function optimization, Journal of Beijing University of Aeronautics and Astronautics [J], vol. 44, no. 4, pp. 828–840 (2018).

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).