NDLI: Data-driven-based dynamic pricing method for sharing rooftop photovoltaic energy in a single apartment building

Content Provider	IET Digital Library
Author	Xu, Xu Xu, Zhao Zhang, Rui Chai, Songjian Li, Jiayong
Abstract	In this study, a novel data-driven based dynamic pricing framework is proposed for sharing rooftop photovoltaic (PV) energy in a single apartment building. In this framework, the input includes the load data, electricity price data, and PV power data and the output includes the pricing strategy for local PV generations. Specifically, the building energy management system operator is responsible for setting internal uniform prices of their own rooftop PV productions to facilitate the local PV energy sharing with apartment building users, aiming to maximise the economic profits. To protect the privacy of apartment building users and meanwhile improve the computational efficiency, a neural network is designed for simulating their demand response (DR) behaviours. Besides, the uncertain rooftop PV generations can be duly addressed by using a well-trained long short-term memory network, which can capture the future trends of rooftop PV generations in a rolling-horizon manner. With the information on PV predictions and DR results, a model-free reinforcement learning method is developed for finding the near-optimal dynamic pricing strategy. The simulation results verify the effectiveness of the proposed framework in making dynamic pricing strategies with partial or uncertain information.
Starting Page	5720
Ending Page	5727
Page Count	8
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 24, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/24
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0606
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-07-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Apartment Building User Building Energy Management System Operator Building Integrated Photovoltaics Building Management System Data-driven-based Dynamic Pricing Method Dynamic Pricing Framework Dynamic Pricing Strategy Electricity Price Data Energy Management System Internal Uniform Prices Knowledge Engineering Technique Learning in AI Load Data Local PV Energy Local PV Generation Model-free Reinforcement Learning Method Near-optimal Dynamic Pricing Strategy Neural Nets Novel Data-driven Optimisation Technique Photovoltaic Power System Power Market Power System Economics Power System Managemen Power System Operation Pricing PV Power Data PV Predictions Rooftop Photovoltaic Energy Rooftop PV Productions Short-term Memory Network Single Apartment Building Solar Power Stations Statistics Uncertain Rooftop PV Generation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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