现货市场环境下售电商激励型需求响应优化策略

郭昆健; 高赐威; 林国营; 卢世祥; 冯小峰

doi:10.7500/AEPS20190726002

您当前的位置：

首页 >

文章列表页 >

现货市场环境下售电商激励型需求响应优化策略

学术研究 | 更新时间：2025-06-16

- 现货市场环境下售电商激励型需求响应优化策略
- Optimization Strategy of Incentive Based Demand Response for Electricity Retailer in Spot Market Environment
- 电力系统自动化-方正平台 2020年44卷第15期页码：28-35
- 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：
  
  郭昆健(1997—)，男，硕士研究生，主要研究方向：电力市场、需求响应。E-mail：guokunjian@qq.com
  高赐威(1977—)，男，通信作者，博士，教授，博士生导师，主要研究方向：电力市场、电力规划、电力需求侧管理、电动汽车接入电网。E-mail：ciwei.gao@seu.edu.cn
  林国营(1982—)，男，教授级高级工程师，主要研究方向：高级量测、智能用电。E-mail：lingofive@139.com
- 基金信息：
  
  中国南方电网有限责任公司科技项目(GDKJXM20161607)
- DOI：10.7500/AEPS20190726002
  中图分类号：
- 收稿日期：2019-07-26，
  
  修回日期：2020-04-09，
  
  网络出版日期：2020-05-29，
  
  纸质出版日期：2020-08-10
- 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

国家发展和改革委员会 , 国家能源局 . 关于推进售电侧改革的实施意见 [R].2015.

National Development and Reform Commission , National Energy Administration . Opinions on the implementation of the reform of the electricity sales side [R]. 2015.

杨甲甲 , 赵俊华 , 文福拴 , 等 . 电力零售核心业务架构与购售电决策 [J]. 电力系统自动化 , 2017 , 41 ( 14 ): 10 - 18 .

YANG Jiajia , ZHAO Junhua , WEN Fushuan , et al . Key business framework and purchase/sale decision-making for electricity retailers [J]. Automation of Electric Power Systems , 2017 , 41 ( 14 ): 10 - 18 .

邹鹏 , 陈启鑫 , 夏清 , 等 . 国外电力现货市场建设的逻辑分析及对中国的启示与建议 [J]. 电力系统自动化 , 2014 , 38 ( 13 ): 18 - 27 .

ZOU Peng , CHEN Qixin , XIA Qing , et al . Logical analysis of electricity spot market design in foreign countries and enlightenment and policy suggestions for China [J]. Automation of Electric Power Systems , 2014 , 38 ( 13 ): 18 - 27 .

龚钢军 , 王慧娟 , 张桐 , 等 . 基于区块链的电力现货交易市场研究 [J]. 中国电机工程学报 , 2018 , 38 ( 23 ): 6955 - 6966 .

GONG Gangjun , WANG Huijuan , ZHANG Tong , et al . Research on electricity market about spot trading based on blockchain [J]. Proceedings of the CSEE , 2018 , 38 ( 23 ): 6955 - 6966 .

龙苏岩 , 冯凯 , 徐骏 , 等 . 电力现货市场下不平衡费用构成及分摊机制研究 [J]. 电网技术 , 2019 , 43 ( 8 ): 2649 - 2658 .

LONG Suyan , FENG Kai , XU Jun , et al . Research on unbalanced cost composition and allocation mechanism in spot electricity market [J]. Power System Technology , 2019 , 43 ( 8 ): 2649 - 2658 .

张显 , 王锡凡 . 电力金融市场综述 [J]. 电力系统自动化 , 2005 , 29 ( 20 ): 5 - 13 .

ZHANG Xian , WANG Xifan . Survey of financial markets for electricity [J]. Automation of Electric Power Systems , 2005 , 29 ( 20 ): 5 - 13 .

ZHANG Q , WANG X . Hedge contract characterization and risk-constrained electricity procurement [J]. IEEE Transactions on Power Systems , 2009 , 24 ( 3 ): 1547 - 1558 .

代业明 , 高岩 . 具有多类资源多类用户智能电网实时定价决策 [J]. 系统工程理论与实践 , 2015 , 35 ( 9 ): 2315 - 2323 .

DAI Yeming , GAO Yan . Real-time pricing decision-making in smart grid with multi type users and multi type power sources [J]. Systems Engineering—Theory & Practice , 2015 , 35 ( 9 ): 2315 - 2323 .

MAHARJAN S , ZHU Q , ZHANG Y , et al . Dependable demand response management in the smart grid:a Stackelberg game approach [J]. IEEE Transactions on Smart Grid , 2013 , 4 ( 1 ): 120 - 132 .

DAI Y M , GAO Y . Real-time pricing decision based on leader-follower game in smart grid [J]. Journal of Systems Science and Information , 2015 , 3 ( 4 ): 348 - 356 .

代业明 , 高岩 , 高红伟 , 等 . 智能住宅小区的需求响应主从博弈模型 [J]. 电力系统自动化 , 2017 , 41 ( 15 ): 88 - 94 .

DAI Yeming , GAO Yan , GAO Hongwei , et al . Leader-follower game model for demand response in smart residential grid [J]. Automation of Electric Power Systems , 2017 , 41 ( 15 ): 88 - 94 .

代业明 , 高红伟 , 高岩 , 等 . 具有电力需求预测更新的智能电网实时定价机制 [J]. 电力系统自动化 , 2018 , 42 ( 12 ): 58 - 63 .

DAI Yeming , GAO Hongwei , GAO Yan , et al . Real-time pricing mechanism in smart grid with forecasting update of power demand [J]. Automation of Electric Power Systems , 2018 , 42 ( 12 ): 58 - 63 .

THOMAS A G , TESFATSION L . Braided cobwebs: cautionary tales for dynamic pricing in retail electric power markets [J]. IEEE Transactions on Power Systems , 2018 , 33 ( 6 ): 6870 - 6882 .

张钦 , 王锡凡 , 王秀丽 , 等 . 需求侧实时电价下用户购电风险决策 [J]. 电力系统自动化 , 2008 , 32 ( 13 ): 16 - 20 .

ZHANG Qin , WANG Xifan , WANG Xiuli , et al . Customer’s electricity purchasing risk decision integrating demand side real-time pricing [J]. Automation of Electric Power Systems , 2008 , 32 ( 13 ): 16 - 20 .

YANG Jiajia , ZHAO Junhua , WEN Fushuan , et al . A framework of customizing electricity retail prices [J]. IEEE Transactions on Power Systems , 2017 , 33 ( 3 ): 2415 - 2428 .

YANG Jiajia , ZHAO Junhua , WEN Fushuan , et al . A model of customizing electricity retail prices based on load profile clustering analysis [J]. IEEE Transactions on Smart Grid , 2018 , 10 ( 3 ): 3374 - 3386 .

罗舒瀚 , 蒋传文 , 王旭 , 等 . 新电改背景下售电公司的购售电策略及风险评估 [J]. 电网技术 , 2019 , 43 ( 3 ): 944 - 953 .

LUO Shuhan , JIANG Chuanwen , WANG Xu , et al . Power trading strategy and risk assessment of electricity retailing company under power system reform [J]. Power System Technology , 2019 , 43 ( 3 ): 944 - 953 .

王林炎 , 张粒子 , 张凡 , 等 . 售电公司购售电业务决策与风险评估 [J]. 电力系统自动化 , 2018 , 42 ( 1 ): 47 - 54 .

WANG Linyan , ZHANG Lizi , ZHANG Fan , et al . Decision-making and risk assessment of purchasing and selling business of electricity retailers [J]. Automation of Electric Power Systems , 2018 , 42 ( 1 ): 47 - 54 .

孔祥玉 , 张禹森 , 杨世海 , 等 . 市场机制下考虑风险的售电公司日前电价决策方法 [J]. 电网技术 , 2019 , 43 ( 3 ): 935 - 943 .

KONG Xiangyu , ZHANG Yusen , YANG Shihai , et al . Day-ahead pricing decision method considering risk of electricity selling company under market mechanism [J]. Power System Technology , 2019 , 43 ( 3 ): 935 - 943 .

刘晓峰 , 高丙团 , 李扬 . 博弈论在电力需求侧的应用研究综述 [J]. 电网技术 , 2018 , 42 ( 8 ): 2704 - 2711 .

LIU Xiaofeng , GAO Bingtuan , LI Yang . Review on application of game theory in power demand side [J]. Power System Technology , 2018 , 42 ( 8 ): 2704 - 2711 .

梅生伟 , 刘锋 , 魏韡 . 工程博弈论基础及电力系统应用 [M]. 北京 : 科学出版社 , 2016 .

MEI Shengwei , LIU Feng , WEI Wei . Engineering game theory foundation and power system application [M]. Beijing : Science Press , 2016 .

高赐威 , 梁甜甜 , 李扬 . 自动需求响应的理论与实践综述 [J]. 电网技术 , 2014 , 38 ( 2 ): 352 - 359 .

GAO Ciwei , LIANG Tiantian , LI Yang . A survey on theory and practice of automated demand response [J]. Power System Technology , 2014 , 38 ( 2 ): 352 - 359 .

电力用户需求响应节约电力测量与验证技术要求:GB/T 37016—2018 [S]. 北京 : 中国标准出版社 , 2018 .

Technical requirements of measurement and verification about power saving in demand response for power users: GB/T 37016—2018 [S]. Beijing : Standard Press of China , 2018 .

FAHRIOGLU M , ALVARADO F L . Using utility information to calibrate customer demand management behavior models [J]. IEEE Transactions on Power Systems , 2001 , 16 ( 2 ): 317 - 322 .

DENG R , YANG Z , CHOW M Y , et al . A survey on demand response in smart grids:mathematical models and approaches [J]. IEEE Transactions on Industrial Informatics , 2015 , 11 ( 3 ): 570 - 582 .

马丽 . 基于博弈论的智能配用电系统优化运行方法 [D]. 北京 : 华北电力大学 , 2017 .

MA Li . Optimization methods for the operation of intelligent electricity distribution and utilization systems based on game theory [D]. Beijing : North China Electric Power University , 2017 .

谢畅 , 王蓓蓓 , 赵盛楠 , 等 . 基于双层粒子群算法求解电力市场均衡 [J]. 电网技术 , 2018 , 42 ( 4 ): 1170 - 1177 .

XIE Chang , WANG Beibei , ZHAO Shengnan , et al . Equilibrium solution for electricity market based on bi-level particle swarm optimization algorithm [J]. Power System Technology , 2018 , 42 ( 4 ): 1170 - 1177 .

徐利锋 , 黄祖胜 , 杨中柱 , 等 . 引入多级扰动的混合型粒子群优化算法 [J]. 软件学报 , 2019 , 30 ( 6 ): 1835 - 1852 .

XU Lifeng , HUANG Zusheng , YANG Zhongzhu , et al . Mixed particle swarm optimization algorithm with multistage disturbances [J]. Journal of Software , 2019 , 30 ( 6 ): 1835 - 1852 .

任艺 , 周明 , 李庚银 . 考虑用户需求响应的售电公司购售电决策双层模型 [J]. 电力系统自动化 , 2017 , 41 ( 14 ): 30 - 36 .

REN Yi , ZHOU Ming , LI Gengyin . Bi-level model of electricity procurement and sale strategies for electricity retailers considering users’ demand response [J]. Automation of Electric Power Systems , 2017 , 41 ( 14 ): 30 - 36 .

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

建筑虚拟电厂参与需求响应市场的报量报价机制设计

市场环境下需求响应行为特性及模型研究综述

市场环境下考虑全周期经济效益的工业园区共享储能优化配置

考虑电动汽车共享储能特性的园区综合能源系统低碳运行

基于区块链的负荷聚合商及居民用户多方共治交易模式