An Incentive Based Dynamic Pricing in Smart Grid: A Customer’s Perspective

Sustainability

MuhammadB. Rasheed¹  Muhammad Awais²  AhmadH. Milyani³  Thamer Alquthami³ 

[1] Department of Electronics and Electrical Systems, The University of Lahore, Lahore 54000, Pakistan;Department of Technology, The University of Lahore, Lahore 54000, Pakistan;Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah 21589, Saudi Arabia;

关键词: demand side management;    demand response;    load scheduling;    real time pricing;    genetic algorithm;    dynamic incentives;   

DOI  :  10.3390/su13116066

来源: DOAJ

【 摘 要 】

Price based demand response is an important strategy to facilitate energy retailers and end-users to maintain a balance between demand and supply while providing the opportunity to end users to get monetary incentives. In this work, we consider real-time electricity pricing policy to further calculate the incentives in terms of reduced electricity price and cost. Initially, a mathematical model based on the backtracking technique is developed to calculate the load shifted and consumed in any time slot. Then, based on this, the electricity price is calculated for all types of users to estimate the incentives through load shifting profiles. To keep the load under the upper limit, the load is shifted in other time slots in such a way to facilitate end-users regarding social welfare. The user who is not interested in participating load shifting program will not get any benefit. Then the well behaved functional form optimization problem is solved by using a heuristic-based genetic algorithm (GA), wwhich converged within an insignificant amount of time with the best optimal results. Simulation results reflect that the users can obtain some real incentives by participating in the load scheduling process.

【 授权许可】

Unknown