1. 华北电力大学经济与管理学院,北京,102206
2. 都城伟业集团有限公司,北京,100031
3. 青海格尔木鲁能新能源有限公司,青海格尔木,816000
4. 国网青海省电力公司电力科学研究院,西宁,810008
纸质出版:2019
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王永利, 董焕然, 齐成元, 等. 泛在电力物联网优化与调控方法研究[J]. 电力需求侧管理, 2019,21(6).
王永利, 董焕然, 齐成元, et al. Research on optimization and dispatching method of ubiquitous power Internet of Things[J]. 2019, 21(6).
王永利, 董焕然, 齐成元, 等. 泛在电力物联网优化与调控方法研究[J]. 电力需求侧管理, 2019,21(6). DOI:
王永利, 董焕然, 齐成元, et al. Research on optimization and dispatching method of ubiquitous power Internet of Things[J]. 2019, 21(6). DOI:
建设泛在电力物联网能够为电网的运行与管理、投资与服务开辟新的道路。依托泛在电力物联网的发展路径,可实现泛在电力物联网优化调度建设,提升能源系统的效率。首先研究了泛在电力物联网平台层和感知层的优化主体和内容,然后在此基础上构建了物理网终端设备参与的边缘优化调度模型,最后以某园区的典型日负荷为依据,选择NSGAII智能算法对该模型进行应用,验证了该模型的可行性,整体实现了对泛在电力物联网的建设与应用。
The construction of ubiquitous power Internet of Things(UPIoT)can open up a new way for the operation and management
investment and service of power grid. Therefore
according to the development path of UPIoT
the optimal dispatching construction of UPIoT is realized
the efficiency of energy system is improved. Firstly
the optimization subjects and contents of platform layer and perception layer of UPIoT are studied. Secondly
the edge optimization scheduling model of the physical network terminal equipment is constructed. Finally
the typical daily load of a park is introduced and the NSGAII intelligent algorithm is applied in the model
which verifies the feasibility of the model and explores the construction and application methods of UPIoT as a whole.
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