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作 者:Hanpeng Kou Tianlong Bu Leer Mao Yihong Jiao Chunming Liu
机构地区:[1]Hulunbeier Power Supply Company,State Grid Inner Mongolia East Power Co.,Ltd.,Hulunbeier,021100,China [2]College of Electrical and Electronic Engineering,North China Electric Power University,Beijing,102206,China
出 处:《Energy Engineering》2024年第4期1027-1048,共22页能源工程(英文)
基 金:supported by the National Natural Science Foundation of China(52177081).
摘 要:In order to play a positive role of decentralised wind power on-grid for voltage stability improvement and loss reduction of distribution network,a multi-objective two-stage decentralised wind power planning method is proposed in the paper,which takes into account the network loss correction for the extreme cold region.Firstly,an electro-thermal model is introduced to reflect the effect of temperature on conductor resistance and to correct the results of active network loss calculation;secondly,a two-stage multi-objective two-stage decentralised wind power siting and capacity allocation and reactive voltage optimisation control model is constructed to take account of the network loss correction,and the multi-objective multi-planning model is established in the first stage to consider the whole-life cycle investment cost of WTGs,the system operating cost and the voltage quality of power supply,and the multi-objective planning model is established in the second stage.planning model,and the second stage further develops the reactive voltage control strategy of WTGs on this basis,and obtains the distribution network loss reduction method based on WTG siting and capacity allocation and reactive power control strategy.Finally,the optimal configuration scheme is solved by the manta ray foraging optimisation(MRFO)algorithm,and the loss of each branch line and bus loss of the distribution network before and after the adoption of this loss reduction method is calculated by taking the IEEE33 distribution system as an example,which verifies the practicability and validity of the proposed method,and provides a reference introduction for decision-making for the distributed energy planning of the distribution network.
关 键 词:Decentralised wind power network loss correction siting and capacity determination reactive voltage control two-stage model manta ray foraging optimisation algorithm
分 类 号:TM614[电气工程—电力系统及自动化]
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