Risk assessment of demand response considering wind power generation

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.

Keywords

• 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