Open AccessApplication of Demand-side Technology in Power System Intelligent Regulation
Author(s) -
Haiyong Zhu,
Zhaoming Li,
Sisi Chen,
Xiaojie Peng
Publication year - 2021
Publication title -
distributed generation and alternative energy journal
Language(s) - English
Resource type - Journals
eISSN - 2156-3306
pISSN - 2156-6550
DOI - 10.13052/dgaej2156-3306.3722
Subject(s) - computer science , nash equilibrium , power (physics) , mathematical optimization , point (geometry) , electricity , mode (computer interface) , set (abstract data type) , demand side , electric power system , set point , load balancing (electrical power) , power demand , simulation , control theory (sociology) , power consumption , engineering , control engineering , mathematics , electrical engineering , economics , microeconomics , artificial intelligence , programming language , physics , geometry , control (management) , grid , quantum mechanics , operating system
To reduce peak demand for electricity, smooth load curve shape, improvepower system safety and efficiency, this paper, by using intelligent homeappliance user operation comfort model is set up to quantify the acceptance,this paper proposes a maximum minimum load management algorithm basedon optimization strategy to change electric power use time and power con-sumption mode.The results show that the proposed model and algorithm canforecast and manage the power load well, and can reduce the peak to averageratio by 14.3% and the total expenditure by 15.3% while maintaining theoperating comfort of power users to the maximum.The load managementproblem of multiple power users can reach Nash equilibrium in a finitenumber of iterations, and this Nash equilibrium point is also the globaloptimal point.