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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2017
عنوان انگلیسی مقاله:
Game-theoretical Energy Management for Energy Internet with Big Data-based Renewable Power Forecasting
ترجمه فارسی عنوان مقاله:
مدیریت انرژی بازی تئوری برای اینترنت انرژی با پیش بینی قدرت قابل بازیافت مبتنی بر داده های بزرگ
منبع:
IEEE - This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/ACCESS.2017.2658952, IEEE Access
نویسنده:
Zhenyu Zhou,Fei Xiong,Biyao Huang, Chen Xu, Runhai Jiao,Bin Liao,Zhongdong Yin, Jianqi Li
چکیده انگلیسی:
Energy internet, as a major trend in power system,
can provide an open framework for integrating equipments of
energy generation, transmission, storage and consumption, etc.,
so that global energy can be managed and controlled efficiently
by information and communication technologies. In this paper,
we focus on the coordinated management of renewable and
traditional energy, which is a typical issue on energy connections.
We consider a conventional power system consisting of the
utility company, the energy storage company, the microgrid, and
electricity users. Firstly, we formulate the energy management
problem as a three-stage Stackelberg game, and every player
in the electricity market aims to maximize its individual payoff
while guaranteeing the system reliability and satisfying users’
electricity demands. We employ the backward induction method
to solve the three-stage non-cooperative game problem, and
give the closed-form expressions of the optimal strategies for
each stage. Next, we study the big data-based power generation
forecasting techniques, and introduce a scheme of the wind power
forecasting, which can assist the microgrid to make strategies.
Furthermore, we prove the properties of the proposed energy
management algorithm including the existence and uniqueness
of Nash equilibrium and Stackelberg equilibrium. Simulation
results show that accurate prediction results of wind power is
conducive to better energy management.
Index Terms: energy internet | Stackelberg game | microgrid energy management | wind power forecasting.
قیمت: رایگان
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