Framework for smart grid to implement a price elasticity-based peak time rebate demand response program
نویسندگان
چکیده
The smart grid model is developed with some changes to help in implementing a demand response program which was initially for Pecan Street project. Correspondingly, the real-time solar and load data are collected from port city of Austin. A single day selected our analysis all four seasons year. flat rate, day-ahead pricing information ComEd. key challenge addressing business problems flexibility consumption. However, without considering properties loss aversion, system would not be practical solution. So, this article, dynamic based on price elasticity that integrates aversion characteristics proposed. proposed compared schemes seasons. Four scenarios created peak time rebate different combinations factor values possible rebates. This article directs how these could change curve utility can make decision about specific importance criteria, such as total carrying capacity, reduction, obtaining optimum profit consumer.
منابع مشابه
Designing Incentive-based Demand Response Program for Minimizing Financial Risk of Retailer during Peak Period
In this paper, a customer incentive scheme is proposed for retailers to build an effective demand response program over the peak demand period to minimize the financial risk. Firstly, an objective function is formulated based on the market operation and an optimal incentive price is derived from this objective function. Secondly, the incentive price is employed as a part of an incentive scheme ...
متن کاملOptimum Generation Scheduling Based Dynamic Price Making for Demand Response in a Smart Power Grid
Smart grid is a recently growing area of research including optimum and reliable operation of bulk power grid from production to end-user premises. Demand side activities like demand response (DR) for enabling consumer participation are also vital points for a smarter operation of the electric power grid. For DR activities in end-user level regulated by energy management systems, a dynamic pric...
متن کاملRational consumer decisions in a peak time rebate program
A rational behavior of a consumer is analyzed when the user participates in a Peak Time Rebate (PTR) mechanism, which is a demand response (DR) incentive program based on a baseline. A multi-stage stochastic programming is proposed from the demand side in order to understand the rational decisions. The consumer preferences are modeled as a risk-averse function under additive uncertainty. The us...
متن کاملFlexibility Analysis for Smart Grid Demand Response
Flexibility is a key enabler for the smart grid, required to facilitate Demand Side Management (DSM) programs, managing electrical consumption to reduce peaks, balance renewable generation and provide ancillary services to the grid. Flexibility analysis is required to identify and quantify the available electrical load of a site or building which can be shed or increased in response to a DSM si...
متن کاملA Distributed Demand-Side Management Framework for the Smart Grid
This paper proposes a fully distributed Demand-Side Management system for Smart Grid infrastructures, especially tailored to reduce the peak demand of residential users. In particular, we use a dynamic pricing strategy, where energy tariffs are function of the overall power demand of customers. We consider two practical cases: (1) a fully distributed approach, where each appliance decides auton...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Energy Research
سال: 2023
ISSN: ['2296-598X']
DOI: https://doi.org/10.3389/fenrg.2022.1079695