{"title":"不确定性条件下的战略性仓储投资与运营:行为经济学分析","authors":"Qisheng Huang;Jin Xu;Peng Sun;Bo Liu;Ting Wu;Costas Courcoubetis","doi":"10.1109/TNSE.2025.3528554","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a two-stage Stackelberg game to investigate the strategic storage investment and operation interaction between the storage aggregator and consumers under demand uncertainty. In the first stage, the storage aggregator makes the storage investment and pricing decisions to maximize its profit. After observing the storage aggregator's decisions, each consumer makes its own storage operation decisions to minimize its electricity bill. Different from previous studies that mainly assumed a risk-neutral consumer based on the expected utility theory (EUT), we propose a prospect theory (PT) model to capture consumers' risk preferences. To solve the PT-based non-convex problem, we exploit the unimodal structure of the objective function and characterize the equilibrium solutions. Theoretical and numerical results show that the consumers' risk preferences have significant impacts on the equilibrium solutions: 1) a PT-consumer with a low reference point is more willing to use energy storage to reduce risk compared with the EUT benchmark; 2) a PT consumer is more willing to use the energy storage when the probability of high demand is small, due to the probability distortion; 3) the consumers with a lower level of risk preference are easier to be affected by the increase of storage investment cost.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"12 2","pages":"1329-1342"},"PeriodicalIF":6.7000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Strategic Storage Investment and Operation Under Uncertainty: Behavioral Economics Analysis\",\"authors\":\"Qisheng Huang;Jin Xu;Peng Sun;Bo Liu;Ting Wu;Costas Courcoubetis\",\"doi\":\"10.1109/TNSE.2025.3528554\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a two-stage Stackelberg game to investigate the strategic storage investment and operation interaction between the storage aggregator and consumers under demand uncertainty. In the first stage, the storage aggregator makes the storage investment and pricing decisions to maximize its profit. After observing the storage aggregator's decisions, each consumer makes its own storage operation decisions to minimize its electricity bill. Different from previous studies that mainly assumed a risk-neutral consumer based on the expected utility theory (EUT), we propose a prospect theory (PT) model to capture consumers' risk preferences. To solve the PT-based non-convex problem, we exploit the unimodal structure of the objective function and characterize the equilibrium solutions. Theoretical and numerical results show that the consumers' risk preferences have significant impacts on the equilibrium solutions: 1) a PT-consumer with a low reference point is more willing to use energy storage to reduce risk compared with the EUT benchmark; 2) a PT consumer is more willing to use the energy storage when the probability of high demand is small, due to the probability distortion; 3) the consumers with a lower level of risk preference are easier to be affected by the increase of storage investment cost.\",\"PeriodicalId\":54229,\"journal\":{\"name\":\"IEEE Transactions on Network Science and Engineering\",\"volume\":\"12 2\",\"pages\":\"1329-1342\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2025-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Network Science and Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10839137/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10839137/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Strategic Storage Investment and Operation Under Uncertainty: Behavioral Economics Analysis
In this paper, we propose a two-stage Stackelberg game to investigate the strategic storage investment and operation interaction between the storage aggregator and consumers under demand uncertainty. In the first stage, the storage aggregator makes the storage investment and pricing decisions to maximize its profit. After observing the storage aggregator's decisions, each consumer makes its own storage operation decisions to minimize its electricity bill. Different from previous studies that mainly assumed a risk-neutral consumer based on the expected utility theory (EUT), we propose a prospect theory (PT) model to capture consumers' risk preferences. To solve the PT-based non-convex problem, we exploit the unimodal structure of the objective function and characterize the equilibrium solutions. Theoretical and numerical results show that the consumers' risk preferences have significant impacts on the equilibrium solutions: 1) a PT-consumer with a low reference point is more willing to use energy storage to reduce risk compared with the EUT benchmark; 2) a PT consumer is more willing to use the energy storage when the probability of high demand is small, due to the probability distortion; 3) the consumers with a lower level of risk preference are easier to be affected by the increase of storage investment cost.
期刊介绍:
The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.