Influence of Incentive-Based Demand-Side Response on Distribution Network Reliability Considering Prosumers

doi:10.16183/j.cnki.jsjtu.2024.028

Abstract

Abstract:

With the increasing proportion of prosumers, user participation in demand-side response is no longer limited to the unidirectional power purchase mode, and the power delivered by prosumers to the distribution system is intermittent, which brings new challenges to the reliability and evaluation of the distribution network. In response, an incentive-based demand-side response (IBDR) including prosumers reliability evaluation method is proposed for distribution network in this paper. First, a bi-level optimization model is developed to represent the maximum user benefit, accounting for the coexistence of common users and prosumers, and the influence of this model on reliability evaluation is analyzed. Then, two indices, the satisfaction with demand-side response(SDSR) and the prosumer relative volatility(PRV), are introduced, which captures the reliability in evaluation. Finally, the reliability of the IEEE RBTS Bus6 model is evaluated using SDSR and PRV based on the Markov chain Monte Carlo. The results of the case study show that prosumers maximize the reliability benefits in summer, but also pose the highest risk of potential volatility.

Key words: incentive-based demand-side response (IBDR), distribution network reliability, prosumer, Markov chain Monte Carlo (MCMC)

CLC Number:

TM711

ZHAO Yao, YU Wenqiang, LI Dongdong, GAO Shaowei, WANG Yan. Influence of Incentive-Based Demand-Side Response on Distribution Network Reliability Considering Prosumers[J]. Journal of Shanghai Jiao Tong University, 2026, 60(1): 74-86.

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标度	含义
1	表示两个元素相比,具有同样的重要性
3	表示两个元素相比,前者比后者稍微重要
5	表示两个元素相比,前者比后者明显重要
7	表示两个元素相比,前者比后者强烈重要
9	表示两个元素相比,前者比后者极其重要
2,4,6,8	表示上述相邻判断的中间值
$\frac{1}{9}$~1	表示相应两个因素交换次序比较的重要性

方法	变压器故障率× 10⁷/(次·h^-1)	架空线路故障率× 10⁷/(h·km)	断路器故障率× 10⁷/(次·h^-1)	隔离开关故障率× 10⁷/(次·h^-1)	电缆故障率× 10⁶/(次·h^-1)	运行时间/s	配电网供电可靠率/%
优化MCMC法	3.9059	3.6319	7.5986	6	1.011	317	99.9941
现有MCMC法	3.9059	3.6319	7.5985	6	1.011	934	99.9927

典型日名称	不合理区域时刻
夏季典型日(2015-07-01)	6:00、7:00、8:00、9:00、15:00、 16:00、17:00、18:00
秋季典型日(2015-10-29)	5:00、10:00、14:00
冬季典型日(2015-01-15)	14:00、19:00

指标名称	可靠性参数
指标名称	故障率	停运持续时间	年不可用率
SDSR		√	√
PRV		√
SAIFI	√
CAIFI	√
SAIDI			√
CAIDI			√
AENS		√
ENS		√