stochastic congestion alleviation with a trade-off between demand response resources and load shedding

نویسندگان

abbas tabandeh

amir abdollahi

masoud rashidinejad

چکیده

under the smart grid environments, demand response resources (drrs) as power system resources can effectively participate in and improve performance of electric systems. congestion management is one of the technical challenges in which drrs can play a significant role. previously, congestion management is applied without considering the power system uncertainties. therefore, a stochastic congestion management by means of a trade-off between drrs and load shedding is proposed so that the outage of transmission lines and generating units are considered. in order to investigate the proposed framework, two types of monte carlo simulation methods, namely 1) ordinary and 2) lattice rank-1, are utilized and compared. hence, independent system operator (iso) can be able to relieve the existing transmission line congestion considering the uncertain network configuration. the proposed model is applied to the 24-bus reliability test system (rts) and simulation studies are performed to examine the effectiveness and capability of the proposed framework.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Stochastic Congestion Alleviation with a Trade-off between Demand Response Resources and Load Shedding

Under the smart grid environments, Demand Response Resources (DRRs) as power system resources can effectively participate in and improve performance of electric systems. Congestion management is one of the technical challenges in which DRRs can play a significant role. Previously, congestion management is applied without considering the power system uncertainties. Therefore, a stochastic conges...

متن کامل

Transmission Congestion Management Considering Uncertainty of Demand Response Resources’ Participation

Under the smart grid environment, demand response resources (DRRs) are introduced as a virtual power plant to enhance power system adequacy. DRRs often fail to reduce their load due to some external factors. In this paper, a reliability model of a DRR is constructed as multi-state conventional generation units, where the probability, frequency of occurrence, and departure rate of each state can...

متن کامل

transmission congestion management considering uncertainty of demand response resources’ participation

under the smart grid environment, demand response resources (drrs) are introduced as a virtual power plant to enhance power system adequacy. drrs often fail to reduce their load due to some external factors. in this paper, a reliability model of a drr is constructed as multi-state conventional generation units, where the probability, frequency of occurrence, and departure rate of each state can...

متن کامل

Demand Response an Alternative Solution to Prevent Load Shedding Triggering

This paper investigates an alternative solution to prevent Load Shedding (LS) triggering during underfrequency and proposes a new technique to restore the frequency during emergency events. Demand response (DR) is considered as one of the most promising Smart Grid concepts that can be used to support the peak demand, whereas, LS is an existing last resort method during emergency grid situations...

متن کامل

Transmission Congestion Management Considering Uncertainty of Demand Response Resources’ Participation

ARTICLE HISTORY: Received 3 October 2015 Revised 23 December 2015 Accepted 3 January 2016 Under the smart grid environment, demand response resources (DRRs) are introduced as a virtual power plant which enhance power system adequacy. DRRs often fail to reduce their load due to some external factors. In this paper, a reliability model of a DRR is constructed as multistate conventional generation...

متن کامل

AN EXTENSION TO STOCHASTIC TIME-COST TRADE-OFF PROBLEM OPTIMIZATION WITH DISCOUNTED CASH FLOW

In this paper, an efficient multi-objective model is proposed to solve time-cost trade off problem considering cash flows. The proposed multi-objective meta-heuristic is based on Ant colony optimization and is called Non Dominated Archiving Ant Colony Optimization (NAACO). The significant feature of this work is consideration of uncertainties in time, cost and more importantly interest rate. A ...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
international journal of smart electrical engineering

ناشر: islamic azad university,central tehran branch

ISSN 2251-9246

دوره 03

شماره 03 2014

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023