Research on optimal scheduling strategy of source-grid-load-storage in rural low-voltage distribution network

• Autorzy: Lei Zhimin , Pei Qianwen , Lian Junrong , Song Jinjin , Zhang Zhaoxu

Identyfikatory

DOI

10.24425/aee.2024.150888

• Języki publikacji: EN

Abstrakty

EN

The increasing demand for centralised power consumption in rural agriculture may result in low voltage and three-phase imbalance issues at the end of the distribution network. Furthermore, the extensive implementation of distributed photovoltaic (PV) systems may cause an imbalance between agricultural power load and PV output, exacerbating the issue of PV losses. In this paper, an optimal scheduling strategy for an integrated source-network-load-storage system is proposed to solve the above problems. The proposed strategy involves a dispatch model that includes PV power generation and energy storage, with the objective of maximising PV consumption and minimising operating costs. The PPO algorithm is finally employed to solve the cooperative optimisation model for source-grid-load-storage. The proposed scheduling strategy has been validated through examples, and the results demonstrate its effectiveness in ensuring the economic and safe operation of rural distribution networks.

Słowa kluczowe

EN

energy scheduling; scheduling strategy; PPO; rural low-voltage distribution network; source-grid-load-storage integrated system

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2024
• Tom: Vol. 73, nr 3
• Strony: 643--661
• Opis fizyczny: Bibliogr. 18 poz., rys., tab., wykr., wz.

Twórcy

autor

Lei Zhimin

• Baiyin Power supply company, State Grid Gansu Electric Power Company Baiyin 730900, China

autor

Pei Qianwen

• Baiyin Power supply company, State Grid Gansu Electric Power Company Baiyin 730900, China

autor

Lian Junrong

• Baiyin Power supply company, State Grid Gansu Electric Power Company Baiyin 730900, China

autor

Song Jinjin

• School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

• https://orcid.org/0009-0000-8508-6445

autor

Zhang Zhaoxu

• Baiyin Power supply company, State Grid Gansu Electric Power Company Baiyin 730900, China

Bibliografia

• [1] Qichen H., Haojie R., Jinsong W., Practical Application of Low-voltage Flexible Interconnection Technology of Station Area for New Rural distribution Network, Rural Electrification (In Chinese), vol. 430, no. 3, pp. 32–38 (2023), DOI: 10.13882/cnkincdah2023.03006.
• [2] Jianhai Y., Bao Z., Gang H., Xiangdong L., Wenbo C., Zhong L., Application research on distribution stations DC flexible interconnection system in rural areas, Rural Electrification (in Chinese), vol. 39, no. 08, pp. 58–66 (2022), DOI: 10.19421/j.cnki.1006-6357.2022.08.007.
• [3] Xingang Y., Yanxue Z., Yajun Z., Xuejiun X., Yixuan F., Xiaoyan B., Flexibility Enhancement and Optimal Dispatch for Renewable-Energy Power System Based on Dynamic Thermal Rating of Transmission Line, 2023 International Conference on Power System Technology (PowerCon), Jinan, China, pp. 1–8 (2023), DOI: 10.1109/PowerCon58120.2023.10331216.
• [4] Yang X., Xiaozhe Y., Xueping J., Lei Y., Zhiyuan Z., Multi-coordinated scheduling application of small and medium-sized source network, load and storage system under blockchain technology, Applied mathematics and nonlinear sciences, vol. 9, no. 1 (2023), DOI: 10.2478/amns.2023.2.01221.
• [5] Ying L., Limin S., Qiang G., Sen L., Sen C., Ning X., Research on Source-Grid-Load-Storage Coordinated Planning Model of Rural Integrated Energy System Considering Demand Response, Hunan Electric Power, vol. 43, no. 3, pp. 21–28 (2023), DOI: 10.3969/j.issn.1008-0198.2023.03.004.
• [6] Zhaoming L., Jiahao L., Jian D., Chenxi W., Jing L., Two-stage Energy Scheduling of Wind-PV-storage Coupled Hydrogen Production System Considering Uncertainty of Source and Load, Science Technology and Engineering, vol. 23, no. 23, pp. 9949–9957 (2023), DOI: 10.12404/i.issn.1671- 1815.2023.23.23.09949.
• [7] Xu W., Dong L., Fei L., Lu L., Yufeng W., Shu Y., Generation Expansion Planning of New Power System Considering Collaborative Optimal Operation of Source-grid-load-storage Under Carbon Peaking and Carbon Neutrality, Power System Technology (in Chinese), vol. 47, no. 9, pp. 3648–3661 (2022), DOI: 10.13335/j.1000-3673.pst.2022.1966.
• [8] Xiuyu Y., Gang M., Guofeng C., Source-storage-grid Integrated Planning Considering Flexible Supply-demand Balance, Power System Technology, vol. 44, no. 9, pp. 3238–3246 (2020), DOI: 10.13335/j.1000-3673.pst.2020.0753.
• [9] Xuechang Z., Application Research on Optimal Scheduling Technology of Source Network Load Storage, Electric Engineering (in Chinese), no. 12, pp. 169–172 (2023), DOI: 10.19768/j.cnki.dgjs.2023.12.047.
• [10] Yidan L., Li K., Xi Y., Operating reserve capacity allocation strategy and optimization model with coordinated participation of source-network-load-storage, Electric Power Automation Equipment, pp. 1–13 (2023), DOI: 10.16081/j.epae.202311008.
• [11] Ran Q., Guobin J., Qing C., Optimal Dispatching of DC Distribution Network Based on Source-grid-load-storage Interactions, Proceedings of the CSU-EPSA (in Chinese), vol. 33, no. 2, pp. 41–50 (2022), DOI: 10.19635/j.cnki.csu-epsa.000507.
• [12] Jinman L., Liyuan L., Piao L., An optimal scheduling method for active distribution network considering source, Power System Protection and Control (in Chinese), vol. 50, no. 1, pp. 167–173 (2023), DOI: 10.19783/j.cnki.pspc.210348.
• [13] Hao L., Li W., Bo M., Bin L., Chang L., Zhipeng L., Research on the Operation Mode of Intelligent-town Energy Internet Based on Source-Load Interaction, IOP conference series, vol. 108, pp. 052045–052045 (2018), DOI: 10.1088/1755-1315/108/5/052045.
• [14] Pourmoosavi M.A., Amraee T., Low carbon generation expansion planning with carbon capture technology and coal phase-out under renewable integration, International Journal of Electrical Power and Energy System, vol. 128, 106715 (2021), DOI: 10.1016/j.ijepes.2020.106715.
• [15] Wei W., Xu L., Xu J., Liu C., Jiang X., Liao K., Coupled dispatching of regional integrated energy system under an electric-traffic environment considering user equilibrium theory, Energy Reports, vol. 8, pp. 8939–8952 (2022), DOI: 10.1016/j.egyr.2022.07.008.
• [16] Sourav D., Thibault M., Gregor P.H., Inverse reinforcement learning control for building energy management, Energy and Buildings, vol. 286, pp. 112941–112941 (2023), DOI: 10.1016/j.enbuild.2023.11294.
• [17] Gautam J.V., Prajapati H.B., Dabhi V.K., Empirical study of job scheduling algorithms in Hadoop MapReduce, Cybernetics and Information Technologies, vol. 21, no. 1, pp. 146–163 (2017), DOI: 10.1515/cait-2017-0012.
• [18] Caetano C.E.F., Lima A.B., Paulino J.O.S. et al., A conductor arrangement that overcomes the effective length issue in transmission line grounding, Electric Power Systems Research, vol. 46, no. 5, pp. 159–162 (2018), DOI: 10.1016/j.epsr.2017.09.022.