NDLI: Artificial emotional reinforcement learning for automatic generation control of large-scale interconnected power grids

Content Provider	IET Digital Library
Author	Yin, Linfei Yu, Tao Zhou, Lv Huang, Linni Zhang, Xiaoshun Zheng, Baomin
Abstract	This study proposes an artificial emotional reinforcement learning (ERL) controller for automatic generation control (AGC) of large-scale interconnected power grids. In the scheme of ERL, the agent consists of two parts, a mechanical logical part and a humanistic emotional part, which essentially develop the control strategies of the agent. These two parts in proposed controller are introduced by reinforcement learning (RL) and artificial emotion (AE), respectively. The ERL controller can generate different control strategies depending on the operating scenarios, by highly integrating AE functions, which are quadratic function, exponential function, and linear function, respectively, with the elements of RL, such as action, learning rate, and reward function. The effectiveness of ERL controller with nine control strategies has been demonstrated considering AGC on a two-area load frequency control power system and China Southern Power Grid (CSG) power system. Results of simulation show the superior performance of ERL over that of proportional–integral control and four RL techniques.
Starting Page	2305
Ending Page	2313
Page Count	9
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 9, Jun (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.1734
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-04-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	AERL Controller AGC Artificial Emotional Reinforcement Learning Controller Automatic Generation Control China Southern Power Grid Power System Control of Electric Power System CSG Power System Exponential Function Frequency Control Large-scale Interconnected Power Grid Learning in AI Linear Function Load Regulation PI Control Power Grid Power System Control Power System Economics Power System Interconnection Power System Managemen Power System Operation Proportional-integral Control Quadratic Function Reward Function Two-area Load Frequency Control Power System
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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