4.6 Article

Behavioral decision-making in power demand-side response management: A multi-population evolutionary game dynamics perspective

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2020.106743

Keywords

Power demand-side response management; User engagement; Smart grid; Evolutionary game theory; Multi-population evolutionary game algorithm

Funding

  1. Department of Education of Guangdong Province Innovative and Strong School Project (Natural Sciences)-Young Innovators Project (Natural Sciences), China [2020KQNCX054]
  2. Natural Science Foundation of Guangxi Province, China [AD19245001, 2020GXNSFBA159025]
  3. Natural Science Foundation of Guangdong Province, China [2020A1515011247]

Ask authors/readers for more resources

This paper investigates the behavioral decision-making issues in power demand-side response management using multi-population evolutionary game dynamics, developing specific models and algorithms, and exploring the long-term evolutionary stable equilibrium of user engagement in power DRM. The study reveals the significant role of incentive pricing in increasing user engagement in power DRM.
Traditional single-agent decision-based optimization theory system is gradually hard to address long-term dynamic interaction problems in power demand-side response management (DRM). To this end, this paper thoroughly investigates the behavioral decision-making issues in power DRM from a perspective of multi-population evolutionary game dynamics. First, the evolutionary dynamics of general two-strategy three-population evolutionary games (2s3pEGs) is discussed, and relative net payoffs (RNPs) are defined for them in engineering. Discussion reveals that long-term evolutionary stable equilibrium (ESE) achieved in 2s3pEGs is only determined by RNPs. Further, the modeling idea of general two-strategy n-population (n ? 2) evolutionary games (npEGs) is elaborated. Second, a two-strategy npEG-based power DRM model is developed, as well as an npEG algorithm. Based on these, this paper investigates the long-term ESE of user engagement in power DRM using six subcases, which verifies the practicality and effectiveness of the obtained findings. Moreover, the case study reveals that incentive pricing from utility companies plays a major role in increasing user engagement in power DRM, thereby promoting different user populations to participate in smart power consumption, dispatching and distribution. Finally, the future work is prospected. This paper attempts to apply npEG dynamics to power DRM. The findings could provide guidelines for the investigations on bounded rationality and limited information-based behavioral decision-making issues, especially in the power DRM field.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available