Optimization Strategy of Incentive Based Demand Response for Electricity Retailer in Spot Market Environment

Kunjian GUO; Ciwei GAO; Guoying LIN; Shixiang LU; Xiaofeng FENG

doi:10.7500/AEPS20190726002

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Optimization Strategy of Incentive Based Demand Response for Electricity Retailer in Spot Market Environment

Basic Research | 更新时间：2025-06-16

- Optimization Strategy of Incentive Based Demand Response for Electricity Retailer in Spot Market Environment
- Automation of Electric Power Systems Vol. 44, Issue 15, Pages: 28-35(2020)
- 作者机构：
  
  1. 东南大学电气工程学院，江苏省南京市 210096
  2. 广东电网有限责任公司计量中心，广东省广州市 510080
  3. 浙江大学电气工程学院，浙江省杭州市 310027
- 作者简介：
- 基金信息：
  
  Abstract:
  Demand response is an important tool for the electricity retailer to manage risk in spot market. However, in previous studies, electricity retailers mostly adopt price-based demand response strategies, which cannot flexibly implement demand response according to the changing practical situation. The incentive-based demand response is lack of in-depth research. In this paper, a Stackelberg game model for the incentive-based demand response between a single electricity retailer and multiple users is established. In this model, the electricity retailer reduces the loss of electricity sales by formulating demand response subsidy strategies during the periods when the electricity price in spot market is higher than its selling price. In the corresponding period, users decide the response electricity quantity according to the subsidy price set by the electricity retailer to obtain additional profits. Moreover, the solution of game equilibrium is presented by analysis. A case study shows that electricity retailer and users can all benefit from the demand response. In addition, the influence of price fluctuations in spot market on the subsidy price of the electricity retailer, response electricity quantity of users and respective profits of each participant, as well as the impact of various users joining in demand response projects on the profits of the electricity retailer are analyzed.
  Foundation:This work is supported by China Southern Power Grid Co., Ltd
- DOI：10.7500/AEPS20190726002
  CLC：
- Received：26 July 2019，
  
  Revised：2020-04-09，
  
  Published Online：29 May 2020，
  
  Published：10 August 2020
- 稿件说明：
移动端阅览
郭昆健,高赐威,林国营等.现货市场环境下售电商激励型需求响应优化策略[J].电力系统自动化,2020,44(15):28-35.

GUO Kunjian,GAO Ciwei,LIN Guoying,et al.Optimization Strategy of Incentive Based Demand Response for Electricity Retailer in Spot Market Environment[J].Automation of Electric Power Systems,2020,44(15):28-35.
郭昆健,高赐威,林国营等.现货市场环境下售电商激励型需求响应优化策略[J].电力系统自动化,2020,44(15):28-35. DOI： 10.7500/AEPS20190726002.

GUO Kunjian,GAO Ciwei,LIN Guoying,et al.Optimization Strategy of Incentive Based Demand Response for Electricity Retailer in Spot Market Environment[J].Automation of Electric Power Systems,2020,44(15):28-35. DOI： 10.7500/AEPS20190726002.

摘要

需求响应是售电商应对现货市场风险的重要工具，但已有研究中的售电商均采取电价型需求响应策略，无法根据变化的实际情况灵活实施需求响应，缺乏关于激励型需求响应的深入研究。针对此，构建了单一售电商与多个用户之间的激励型需求响应主从博弈模型，其中售电商在现货市场电价高于售电价格的时段，制定需求响应补贴策略以减少其售电损失

而用户根据售电商制定的补贴价格决定相应时段的响应量以获取额外收益。通过分析给出了博弈模型的求解方法，算例表明，售电商及用户均可通过需求响应而获益。此外，文中分析了现货市场价格波动对售电商的补贴价格制定、用户响应量和各自需求响应收益的影响以及不同类型的用户加入需求响应项目时对售电商需求响应收益的影响。

Abstract

Demand response is an important tool for the electricity retailer to manage risk in spot market. However

in previous studies

electricity retailers mostly adopt price-based demand response strategies

which cannot flexibly implement demand response according to the changing practical situation. The incentive-based demand response is lack of in-depth research. In this paper

a Stackelberg game model for the incentive-based demand response between a single electricity retailer and multiple users is established. In this model

the electricity retailer reduces the loss of electricity sales by formulating demand response subsidy strategies during the periods when the electricity price in spot market is higher than its selling price. In the corresponding period

users decide the response electricity quantity according to the subsidy price set by the electricity retailer to obtain additional profits. Moreover

the solution of game equilibrium is presented by analysis. A case study shows that electricity retailer and users can all benefit from the demand response. In addition

the influence of price fluctuations in spot market on the subsidy price of the electricity retailer

response electricity quantity of users and respective profits of each participant

as well as the impact of various users joining in demand response projects on the profits of the electricity retailer are analyzed.

关键词

Keywords

references

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