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Risk assessment of demand response considering wind power generation
- Source :
- The Journal of Engineering (2018)
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- Demand response can reduce peak load, transfer part of peak load to valley load, and reduce system risk at peak time. In this study, a calculation model of power grid loss risk is proposed, which is suitable for evaluating the risk changes caused by the demand response, and calculating the corresponding risk value under the demand response load curve. In the calculation of demand response load, considering the impact of two measures of time-of-use (TOU) price and incentive measure, the TOU and incentive load curve are obtained based on the user's maximum benefit. In order to gain the corresponding load risk index, Monte Carlo simulation method is used, demand response load curve is taken as input, and load point fault time, load point fault rate and expected energy not serve indexes are introduced. Moreover, compared with the risk ratio of the original load curve, the simulation results verify the effectiveness of the proposed risk model, and prove that the demand response measures can transfer the risk of partial high load and balance the risk distribution.
- Subjects :
- Monte Carlo methods
power grids
wind power plants
risk analysis
demand side management
pricing
power generation economics
incentive load curve
demand response load curve
load point fault time
load point fault rate
risk ratio
risk model
demand response measures
partial high load
risk distribution
risk assessment
wind power generation
peak load
valley load
peak time
incentive measure
TOU
system risk reduction
power grid loss risk calculation model
risk changes evaluation
risk value calculation
load risk index
time-of-use price
Monte Carlo simulation method
Engineering (General). Civil engineering (General)
TA1-2040
Subjects
Details
- Language :
- English
- ISSN :
- 20513305
- Database :
- Directory of Open Access Journals
- Journal :
- The Journal of Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.38b0047946d74037bf6d287a48057f04
- Document Type :
- article
- Full Text :
- https://doi.org/10.1049/joe.2018.8899