Pricing Strategy Design of Electricity Retail Pricing Package Considering Self-selectivity of Users

En LU; Pei BIE; Haohao WANG; Qing CHEN; Wenxuan LI; Weizhen GU

doi:10.7500/AEPS20191206003

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Pricing Strategy Design of Electricity Retail Pricing Package Considering Self-selectivity of Users

Application Research | 更新时间：2025-06-16

- Pricing Strategy Design of Electricity Retail Pricing Package Considering Self-selectivity of Users
- Automation of Electric Power Systems Vol. 44, Issue 19, Pages: 177-184(2020)
- 作者机构：
  
  1.广东电力交易中心有限责任公司，广东省广州市 510030
  2.清华大学电机工程与应用电子技术系，北京市 100084
- 作者简介：
- 基金信息：
  
  China Southern Power Grid Company Limited
- DOI：10.7500/AEPS20191206003
  CLC：
- Received：06 December 2019，
  
  Revised：2020-05-13，
  
  Published Online：17 July 2020，
  
  Published：10 October 2020
- 稿件说明：
移动端阅览
卢恩,别佩,王浩浩等.考虑用户自主选择性的零售电价套餐定价策略设计[J].电力系统自动化,2020,44(19):177-184.

LU En,BIE Pei,WANG Haohao,et al.Pricing Strategy Design of Electricity Retail Pricing Package Considering Self-selectivity of Users[J].Automation of Electric Power Systems,2020,44(19):177-184.
卢恩,别佩,王浩浩等.考虑用户自主选择性的零售电价套餐定价策略设计[J].电力系统自动化,2020,44(19):177-184. DOI： 10.7500/AEPS20191206003.

LU En,BIE Pei,WANG Haohao,et al.Pricing Strategy Design of Electricity Retail Pricing Package Considering Self-selectivity of Users[J].Automation of Electric Power Systems,2020,44(19):177-184. DOI： 10.7500/AEPS20191206003.

摘要

在零售市场中，零售商制定零售电价套餐时需要尊重用户意愿和选择权，从而保证制定的零售电价方案贴近真实市场结果。为此文中为零售商提出了一种考虑用户自主选择性的零售电价套餐定价策略，该策略考虑了用户的策略行为和选择行为，为同一类型用户（同为工业、商业或居民用户）制定种类数量合理、费率合理的零售套餐，能够满足用户的多样化需求，调动用户资源参与零售市场的潜力。首先，对用户的用电效用、策略行为和选择行为进行了深入分析和建模；其次，构建了零售商在零售市场中的市场份额、购电成本以及运营风险的相关模型；在此基础上，考虑实际问题的限制，建立了零售商以利润最大化为优化目标的套餐定价优化模型；最后使用某地区用户的数据集对套餐定价优化模型进行了验证，说明了模型在考虑用户策略行为和自主选择行为方面可行、有效。

Abstract

In the retail market

the willingness and the selection rights of power users should be respected when retailers design retail pricing packages

so that it is guaranteed that the designed retail pricing schemes are closed to the outcomes in the real market. Based on this

a pricing strategy for retail pricing packages considering self-selectivity of users is proposed. The users' strategic behaviors and self-selection behaviors are taken into account in the strategy

and the retail packages with reasonable types and rates are formulated for the same users such as industrial

commercial or residential users. This strategy aims to meet the diverse needs of users and mobilize the potential user-side resources to participate in the retail market. Firstly

the utility

strategic behaviors and selection behaviors of users are deeply analyzed and modeled. Secondly

the related models of market share

power purchasing cost and operation risk of retailers in the retail market are constructed. On this basis

considering the limitation of practical situations

the package pricing optimization model with the objective of maximizing the retailer profit is established. Finally

the data set of users in a district is used to verify the package pricing optimization model. The result shows that the model is feasible and effective in considering users' strategic behaviors and self-selection behaviors.

关键词

Keywords

references

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