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文章摘要
双碳目标下的新型微电网优化运行问题研究
Research on optimal operation of noval micro-grid under dual-carbon target
Received:May 19, 2022  Revised:May 24, 2022
DOI:10.19753/j.issn1001-1390.2025.03.006
中文关键词: 微电网  优化运行  抽水蓄能电站  电动汽车  有序充放电  “双碳”目标  秃鹰搜索算法
英文关键词: micro-grid, optimal operation, pumped storage power station, electric vehicle, ordered charge and discharge, dual-carbon target, bald eagle search algorithm
基金项目:国家自然科学基金资助项目(61803220);山东省自然科学基金面上资助项目(ZR2020ME194)
Author NameAffiliationE-mail
QIN Changmin* School of Information and Control Engineering, Qingdao University of Technology,Qingdao 266520, Shandong, China Qin_changmin@126.com 
MA Zhaoxing School of Information and Control Engineering, Qingdao University of Technology,Qingdao 266520, Shandong, China mazhaoxingapple@126.com 
CHEN Hao Ultra High Voltage Company, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211102, China pingfengma@126.com 
QIAN Baoshan School of Information and Control Engineering, Qingdao University of Technology,Qingdao 266520, Shandong, China q18036285933@126.com 
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中文摘要:
      微电网的优化运行可为分布式电源和可再生能源的高效利用提供强有力的保障。为解决分布式电源占比较大的微电网优化运行问题,文中提出了一种新型微电网优化运行方案,将引入凹函数形式的动态惯性权重和高斯变异算子的秃鹰搜索(bald eagle search, BES)优化算法应用到含储能装置占比较大的微电网的优化运行问题中。在对储能装置做有序充放电安排的基础上,建立了计及发电成本最低、环境效益最好以及电能损耗最少的微电网优化运行模型,并运用模糊数学中的隶属度函数将多个目标函数单一化,最后用改进的BES优化算法对两种优化方案的函数模型求解。仿真结果验证了文中所提优化方案和改进BES算法的准确性和优越性。
英文摘要:
      The optimal operation of micro-grid can provide a strong guarantee for the efficient utilization of distributed power and renewable energy. In order to solve the problem of optimal operation of micro-grid with a large proportion of distributed power supply, this paper proposes an optimal operation scheme of novel micro-grid. Bald eagle search (BES) optimization algorithm with concave function and Gaussian mutation operator is applied to the optimal operation of micro-grid with a large proportion of energy storage devices. On the basis of ordered charge-discharge arrangement for energy storage device, the optimal operation model of micro-grid is established considering the lowest cost of power generation, environmental benefits and the least power loss, and membership function in fuzzy mathematics is used to simplify the multiple objective functions. The improved BES optimization algorithm is used to solve the function model of two kinds of optimization schemes. Simulation results verify the accuracy and superiority of the proposed optimization scheme and the improved BES algorithm.
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