Research on Grid Connected Optimization Scheduling of Micro-grid Utilizing on Improved Bee Colony Method

  • Qiangshan Zhang Xinyang Vocational and Technical College, China
Keywords: optimal dispatch; improved bee colony algorithm, microgrid grid connetion

Abstract

In order to achieve grid connected optimal dispatch of micro-grid, a improved bee colony method is put forward to carry out optimization of grid connected dispatch. Firstly, the optimal scheduling model of micro-grid grid connection, and the overall cost of generating electricity and environmental cost of micro-grid grid connection is used as objective function, and system power balance constraint, power constraint of micro power supply, contact line constraint that interacted with main grid and charge and discharge cycle of battery are used as constraint conditions. Secondly, the improved bee colony algorithm is established through introducing particle swarm algorithm. Finally, a residential area is used as an example, and the optimal dispatch of micro-grid grid connection is carried out based on proposed model, and simulation results showed that the proposed model has higher correctness and efficiency.

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Author Biography

Qiangshan Zhang, Xinyang Vocational and Technical College, China

Qiangshan Zhang, male, master, associate professor, school of mathematics and computer science, xinyang vocational and technical college, xinyang outstanding young science and technology expert, member of Chinese computer society.

He mainly teaches computer network technology, data structure, database technology, website design and management, introduction to e-commerce and other professional courses. His main research direction is computer network and database.

He graduated from the Department of Computer Science, Henan University with a bachelor’s degree in June 1997. He graduated from the School of Computer Science, Wuhan University with a master’s degree in June 2010.

He has presided over and participated in a number of scientific research projects, including science and technology research projects sponsored by the Department of Science and Technology of Henan Province and projects sponsored by the Department of Education of Henan Province for young backbone teachers. He has won a second prize of Xinyang City Science and Technology Progress Award, a third prize of Xinyang City Science and Technology Progress Award, a first prize of Henan Division of the National Multimedia Education Software Grand Prix, and a number of first and second prizes of Henan Provincial Department of Education.

References

Saeed Abrisham ForoushanAsl, Majid Gandomkar, Javad Nikoukar, Optimal protection coordination in the micro-grid including inverter-based distributed generations and energy storage system with considering grid-connected and islanded modes, Electric Power Systems Research, 2020, 184(7):106317.

Wei Jin, Yongli Li, Guangyu Sun, Yan Gao, Admittance Model for Three-phase AC Micro-grid with Unbalanced Load Compensated by the Multi-functional Grid-connected Inverter, Energy Procedia, 2019, 158(2):2475–2480.

Seyed Masoud Moghaddas-Tafreshi, Soheil Mohseni, Mohammad Ehsan Karami, Scott Kelly, Optimal energy management of a grid-connected multiple energy carrier micro-grid, Applied Thermal Engineering, 2019, 152(4):796–806.

Martin Vincent Mancuso, Pietro Elia Campana, Jinyue Yan, Evaluation of Grid-Connected Micro-Grid Operational Strategies, Energy Procedia, 2019, 158(2):1273–1278.

Brida V. Mbuwir, Fred Spiessens, Geert Deconinck, Distributed optimization for scheduling energy flows in community micro-grids, Electric Power Systems Research, 2020, (187):106479.

M.F. Roslan, M.A. Hannan, Pin Jern Ker, R.A. Begum TMIndra Mahlia, Z.Y. Dong, Scheduling controller for micro-grids energy management system using optimization algorithm in achieving cost saving and emission reduction, Applied Energy, 2021, 292(6):116883.

Simon Eberlein, Krzysztof Rudion, Small-signal stability modelling, sensitivity analysis and optimization of droop controlled inverters in LV micro-grids, International Journal of Electrical Power & Energy Systems, 2021, 125(2):106404.

Sergio F. Contreras, Camilo A. Cortés, Johanna M.A. Myrzik, Probabilistic multi-objective micro-grid planning methodology for optimizing the ancillary services provision, Electric Power Systems Research, 2020, 189(12): 106633.

Xiaoyi Ding, Wei Sun, Gareth P. Harrison, Xiaojing Lv, Yiwu Weng, Multi-objective optimization for an integrated renewable, power-to-gas and solid oxide fuel cell/gas turbine hybrid system in micro-grid, Energy, 2020, 213(12):118804.

Koraljka Kovačević Markov, Nikola Rajaković, Multi-energy micro-grids with ecotourism purposes: The impact of the power market and the connection line, Energy Conversion and Management, 2019, 196(9):1105–1112.

Yibing Li, Weixing Huang, Rui Wu, Kai Guo, An improved artificial bee colony algorithm for solving multi-objective low-carbon flexible job shop scheduling problem, Applied Soft Computing, 2020, 95(10):106544.

Hu Yu, Sun Zhensheng, Cao Lijia, Zhang Yin, Pan Pengfei, Optimization configuration of gas path sensors using a hybrid method based on tabu search artificial bee colony and improved genetic algorithm in turbofan engine, Aerospace Science and Technology, 2021, 112(5):1006642.

Laifu Wen, Jiulong Cheng, Fei Li, Jiahong Zhao, Zhihao Shi, Hongchuan Zhang, Global optimization of controlled source audio-frequency magnetotelluric data with an improved artificial bee colony algorithm, Journal of Applied Geophysics, 2019, 170(11):103845.

Mei Zhang, Yingtong Tan, Jinhui Zhu, Yinong Chen, Haiming Liu, Modeling and simulation of improved artificial bee colony algorithm with data-driven optimization, Simulation Modelling Practice and Theory, 2019, 93(5):305–321.

Depeng Kong, Tianqing Chang, Wenjun Dai, Quandong Wang, Haoze Sun, An improved artificial bee colony algorithm based on elite group guidance and combined breadth-depth search strategy, Information Sciences, 2018, 442–443(5):54–71.

Hong Liu, Bin Xu, Dianjie Lu, Guijuan Zhang, A path planning approach for crowd evacuation in buildings based on improved artificial bee colony algorithm, Applied Soft Computing, 2018, 68(7):360–376.

Kunkun Peng, Quanke Pan, Biao Zhang, An improved artificial bee colony algorithm for steelmaking–refining–continuous casting scheduling problem, Chinese Journal of Chemical Engineering, 2018, 26(8):1727–1735.

Min-Rong Chen, Jun-Han Chen, Guo-Qiang Zeng, Kang-Di Lu, Xin-Fa Jian, An improved artificial bee colony algorithm combined with extremal optimization and Boltzmann Selection probability, Swarm and Evolutionary Computation, 2019, 49(9):158–177.

Włodzimierz Jefimowski, Adam Szeląg, Marcin Steczek, Anatolii Nikitenko, Vanadium redox flow battery parameters optimization in a transportation micro-grid: A case study, Energy, 2020, 195(5):116943.

I. Zafeiratou, I. Prodan, F. Boem, L. Lefevre, Handling power losses in a DC micro-grid through constrained optimization, IFAC-PapersOnLine, 2020, 53(2):12956–12961.

Published
2021-08-30
Section
Renewable Power and Energy Systems