气候变化领域集成服务门户(CCPortal): Multi-agent management of integrated food-energy-water systems using stochastic games: From Nash equilibrium to the social optimum

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DOI	10.1088/1748-9326/abadca
	Multi-agent management of integrated food-energy-water systems using stochastic games: From Nash equilibrium to the social optimum
	Memarzadeh M.; Moura S.; Horvath A.
发表日期	2020
ISSN	17489318
卷号	15 期号:9
英文摘要	System-level integration and optimization of food-energy-water systems (FEWS) require coordination of multiple agencies and decision-makers and incorporating their interdependence. In general, such coordination might be hard to achieve. As a result, the literature on FEWS management either optimizes the operations for one sector (or one decision-maker), or models interdependence among the sectors without optimizing their operations. In this article, we develop a novel multi-agent management optimization approach that is able to incorporate stochasticity and uncertainty in the system's dynamics and interdependence of the water and energy resources for food production. The proposed method is the first attempt to utilize fundamentals of decision and game theories to optimize operations of multi-agent FEWS. We specifically focus on differentiating between (1) cooperative decision optimization of the operations, where all decision-makers cooperate to achieve the best outcome for the whole system, the social optimum, and (2) non-cooperative decision-making of the agents, the Nash equilibrium. Illustrating with a real-world case study of FEWS in Ventura County, California, we show the difference between the cooperative and non-cooperative decision making in terms of long-term expected cost of managing the system. We further show how the extra costs associated with utilizing the renewable sources of water and energy could be incentivised, so that the non-cooperative solution (the Nash equilibrium) would naturally converge to the best outcome for the whole system (the social optimum). © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词	Food-energy-water systems; Game theory; Multi-agent management
语种	英语
scopus关键词	Energy management systems; Energy resources; Game theory; Multi agent systems; Stochastic systems; Waterworks; Decision makers; Food production; Optimization approach; Renewable sources; Social optimums; System level integration; System's dynamics; Water and energies; Decision making; decision making; integrated approach; management practice; optimization; stochasticity; California; United States
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153725
作者单位	Usra, Data Sciences Group, Nasa Ames Research Center, Moffett Field, CA 94035, United States; Department of Civil and Environmental Engineering, University of California, Berkeley, CA 94720, United States
推荐引用方式 GB/T 7714	Memarzadeh M.,Moura S.,Horvath A.. Multi-agent management of integrated food-energy-water systems using stochastic games: From Nash equilibrium to the social optimum[J],2020,15(9).
APA	Memarzadeh M.,Moura S.,&Horvath A..(2020).Multi-agent management of integrated food-energy-water systems using stochastic games: From Nash equilibrium to the social optimum.Environmental Research Letters,15(9).
MLA	Memarzadeh M.,et al."Multi-agent management of integrated food-energy-water systems using stochastic games: From Nash equilibrium to the social optimum".Environmental Research Letters 15.9(2020).