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基于混合布谷鸟算法的智能电网多业务组合投资决策优化
作者姓名:谭忠富  谭彩霞  余雪  张华磊  蒲雷  李韩房
作者单位:华北电力大学经济与管理学院;国网能源研究院有限公司;延安大学经济与管理学院;北京能源发展研究基地
基金项目:国家自然科学基金资助项目(71904049);国家电网公司科技项目(1400-201957292A-0-0-00)。
摘    要:电网当前正处于加速电力市场化建设、拓展各类业务以及寻求效益点的关键时期。构建了基于价值链的智能电网重点业务评价模型与基于智能电网投资多目标的多业务决策优化模型,并利用混合布谷鸟算法求解多业务决策优化模型。通过算例分析验证了所提多业务投资决策模型的正确性以及混合布谷鸟算法的优越性,为电网企业组合发展电网业务提供借鉴。

关 键 词:价值链  多业务决策优化  混合布谷鸟算法

Multi-business Portfolio Investment Decision Optimization of Smart Grid Based on Hybrid Cuckoo Algorithm
Authors:TAN Zhongfu  TAN Caixia  YU Xue  ZHANG Hualei  PU Lei  LI Hanfang
Affiliation:(School of Economic and Management,North China Electric Power University,Beijing 102206,China;State Grid Energy Research Institute,Beijing 102209,China;School of Economic and Management,Yan’an University,Yan’an 716000,China;Beijing Energy Development Research Center,Beijing 102206,China)
Abstract:At present,the power grid is in the critical period of accelerating the construction of electric power marketization,expanding various businesses and seeking profit points.The smart grid key business evaluation model based on value chain&smart grid investment multi-objective multi-service decision optimization model are constructed.The hybrid cuckoo algorithm is used to solve the multi-service decision optimization model.The calculation example analysis verifies the correctness of the multi-service investment decision model and the superiority of the hybrid cuckoo algorithm,which provides reference for power grid enterprise to develop combinated power grid business.
Keywords:value chain  multi-business decision optimization  hybrid cuckoo algorithm
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