Modeling and Strategy of Integrated Demand Response Based on Joint Electricity-Heat  Clearing Market

Dan WANG; Deyu HUANG; Qing’e HU; Hongjie JIA; Niepeng ZHANG; Zhihong YANG

doi:10.7500/AEPS20191220007

您当前的位置：

首页 >

文章列表页 >

Modeling and Strategy of Integrated Demand Response Based on Joint Electricity-Heat Clearing Market

Basic Research | 更新时间：2025-06-16

- Modeling and Strategy of Integrated Demand Response Based on Joint Electricity-Heat Clearing Market
- Automation of Electric Power Systems Vol. 44, Issue 12, Pages: 13-21(2020)
- 作者机构：
  
  1. 智能电网教育部重点实验室(天津大学)，天津市 300072
  2. 天津市智慧能源与信息技术重点实验室(天津大学)，天津市 300072
  3. 国网镇江供电公司，江苏省镇江市 212000
  4. 国电南瑞科技股份有限公司，江苏省南京市 211106
  5. 南瑞集团有限公司（国网电力科学研究院有限公司），江苏省南京市 211106
  6. 智能电网保护和运行控制国家重点实验室，江苏省南京市 211106
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China;State Grid Corporation of China;National Natural Science Foundation of China
- DOI：10.7500/AEPS20191220007
  CLC：
- Received：20 December 2019，
  
  Revised：2020-04-09，
  
  Published Online：11 April 2020，
  
  Published：25 June 2020
- 稿件说明：
移动端阅览
王丹,黄德裕,胡庆娥等.基于电-热联合市场出清的综合需求响应建模及策略[J].电力系统自动化,2020,44(12):13-21.

WANG Dan,HUANG Deyu,HU Qing’e,et al.Modeling and Strategy of Integrated Demand Response Based on Joint Electricity-Heat Clearing Market[J].Automation of Electric Power Systems,2020,44(12):13-21.
王丹,黄德裕,胡庆娥等.基于电-热联合市场出清的综合需求响应建模及策略[J].电力系统自动化,2020,44(12):13-21. DOI： 10.7500/AEPS20191220007.

WANG Dan,HUANG Deyu,HU Qing’e,et al.Modeling and Strategy of Integrated Demand Response Based on Joint Electricity-Heat Clearing Market[J].Automation of Electric Power Systems,2020,44(12):13-21. DOI： 10.7500/AEPS20191220007.

摘要

随着综合能源系统和多能源市场的发展，传统需求响应已逐渐向综合需求响应的方向转变。在综合需求响应中，用户既可以通过改变用能习惯，又可以通过转换能量来源参与响应，从而实现供需资源协调优化。以冬季居民电能、热能需求为场景，首先基于零售侧能源市场参与主体的机理模型，构建零售侧电-热联合双边竞价能源市场框架。其次，提出电、热负荷参与联合市场的竞价策略，进而建立以最大化能源生产者和消费者剩余为目标的电-热联合市场出清模型；考虑不同负荷的控制模式和运行机理，提出电、热负荷响应市场出清信号的控制策略。最后，通过算例验证了所提方法在实现供需双侧资源协调优化、促进可再生能源消纳以及用户节能方面的积极作用。

Abstract

With the development of integrated energy systems and multiple energy markets

traditional demand response has gradually shifted towards integrated demand response (IDR). In IDR

users can participate in the response by either changing their energy consumption habits or converting energy sources

thereby the coordination and the optimization of supply and demand resources are realized. This paper takes users’ demand for electricity and heat in winter as the scenario. Firstly

based on the mechanism model of participants in energy market at retail side

the energy market framework of electricity-heat joint double auction retail is constructed. Then

the bidding strategies for electricity load and heat load in the joint market are proposed

and the clearing model of electricity-heat joint market with the aim of maximizing the surplus of energy producers and consumers is established. Considering the control mode and operation mechanism of different types of loads

the control strategies of electricity load and heat load in response to market clearing signals are proposed. Finally

the numerical example is utilized to verify the effects of the proposed method on realizing the coordination and the optimization of resources on both sides of supply and demand

promoting the consumption of renewable energy

as well as saving energy for users.

关键词

Keywords

references

NIKOLAOS G ， OZANERDINC ， JOÃO P S . An overview of demand response: key-elements and international experience [J]. Renewable and Sustainable Energy Reviews , 2017 , 69 : 871 - 891 .

杨经纬 , 张宁 , 王毅 , 等 . 面向可再生能源消纳的多能源系统: 述评与展望 [J]. 电力系统自动化 , 2018 , 42 ( 4 ): 11 - 24 .

YANG Jingwei , ZHANG Ning , WANG Yi , et al . Multi-energy systems for renewable energy consumption: review and outlook [J]. Automation of Electric Power Systems , 2018 , 42 ( 4 ): 11 - 24 .

SHAO C , DING Y , SIANO P , et al . A framework for incorporating demand response of smart buildings into the integrated heat and electricity energy system [J]. IEEE Transactions on Industrial Electronics , 2017 , 66 ( 2 ): 1465 - 1475 .

陈聪 , 沈欣炜 , 夏天 , 等 . 计及效率的综合能源系统多目标优化调度方法 [J]. 电力系统自动化 , 2019 , 43 ( 12 ): 60 - 67 .

CHEN Cong , SHEN Xinwei , XIA Tian , et al . Multi-objective optimal dispatch method for integrated energy system considering exergy efficiency [J]. Automation of Electric Power Systems , 2019 , 43 ( 12 ): 60 - 67 .

GU W , WANG J , LU S , et al . Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings [J]. Applied Energy , 2017 , 199 : 234 - 246 .

陈建华 , 吴文传 , 张伯明 , 等 . 消纳大规模风电的热电联产机组滚动调度策略 [J]. 电力系统自动化 , 2013 , 36 ( 24 ): 21 - 27 .

CHEN Jianhua , WU Wenchuan , ZHANG Boming , et al . Rolling scheduling strategy for cogeneration units that consume large-scale wind power [J]. Automation of Electric Power Systems , 2013 , 36 ( 24 ): 21 - 27 .

王伟亮，王丹，贾宏杰，等 . 考虑运行约束的区域电力-天然气-热力综合能源系统能量流优化分析 [J]. 中国电机工程学报， 2017 ， 37 ( 24 )： 7108 - 7120 .

WANG Weiliang , WANG Dan , JIA Hongjie , et al . Analysis of energy flow optimization in regional electricity-gas-heat integrated energy system considering operational constraints [J]. Proceedings of the CSEE , 2017 ， 37 ( 24 )： 7108 - 7120 .

王雁凌 , 李蓓 , 崔航 . 天然气分布式能源站综合价值分析 [J]. 电力系统自动化 , 2016 , 40 ( 1 ): 136 - 142 .

WANG Yanling , LI Bei , CUI Hang . Comprehensive value analysis of natural gas distributed energy station [J]. Automation of Electric Power Systems , 2016 , 40 ( 1 ): 136 - 142 .

LU X , MCELROY M B , PENG W , et al . Challenges faced by China compared with the US in developing wind power [J]. Nature Energy , 2016 , 1 ( 6 ): 16061 .

ZHANG X , SHAHIDEHPOUR M , ALABDULWAHAB A , et al . Optimal expansion planning of energy hub with multiple energy infrastructures [J]. IEEE Transactions on Smart Grid , 2017 , 6 ( 5 ): 2302 - 2311 .

IMANI S M H , NIKNEJAD P , BARZEGARAN M R , et al . The impact of customers’ participation level and various incentive values on implementing emergency demand response program in microgrid operation [J]. International Journal of Electrical Power & Energy Systems , 2018 , 96 : 114 - 125 .

唐程辉 , 张凡 , 张宁 , 等 . 考虑可再生能源随机性和需求响应的电力系统日前经济调度 [J]. 电力系统自动化 , 2019 ， 43 ( 15 ): 18 - 25 .

TANG Chenghui , ZHANG Fan , ZHANG Ning , et al . Day ahead economic dispatch of power system considering renewable power uncertainty and demand response [J]. Automation of Electric Power Systems , 2019 , 43 ( 15 ): 18 - 25 .

ANISH J , MUKESH S , NEERAJ K . Consumption-aware data analytical demand response scheme for peak load reduction in smart grid [J]. IEEE Transactions on Industrial Electronics , 2018 , 65 ( 11 ): 8993 - 9004 .

WANG J , ZHONG H , MA Z , et al . Review and prospect of integrated demand response in the multi-energy system [J]. Applied Energy , 2017 , 202: 772 - 782 ：

何仲潇，徐成司，刘育权，等 . 考虑多能协同的工厂综合需求侧响应模型 [J]. 电力自动化设备， 2017 ， 37 ( 6 )： 69 - 74 .

HE Zhongxiao , XU Chengsi , LIU Yuquan , et al . Industrial park IDR model considering multi-energy cooperation [J]. Electric Power Automation Equipment , 2017 ， 37 ( 6 )： 69 - 74 .

SHAO C , DING Y , WANG J , et al . Modeling and integration of flexible demand in heat and electricity integrated energy system [J]. IEEE Transactions on Sustainable Energy , 2017 , 9 ( 1 ): 361 - 370 .

LIU N , WANG J , WANG L . Hybrid energy sharing for multiple microgrids in an integrated heat-electricity energy system [J]. IEEE Transactions on Sustainable Energy , 2019 , 10 ( 3 ): 1139 - 1151 .

LIU N , HE L , YU X , et al . Multi-party energy management for grid-connected microgrids with heat and electricity coupled demand response [J]. IEEE Transactions on Industrial Informatics , 2017 , 14 ( 5 ): 1887 - 1897 .

MA L , LIU N , ZHANG J , et al . Energy management for joint operation of CHP and PV prosumers inside a grid-connected microgrid: a game theoretic approach [J]. IEEE Transactions on Industrial Informatics , 2016 , 12 ( 5 ): 1930 - 1942 .

LITTLECHILD S . Competition regulation and price controls in the GB retail energy market [J]. Utilities Policy , 2018 , 52 : 59 - 69 .

彭钰茗 , 曾方迪 , 李更丰 . 综合能源服务商参与多能源市场的决策建模研究 [J]. 供用电 , 2018 , 35 ( 11 ): 32 - 38 .

PENG Yuming , ZENG Fangdi , LI Gengfeng . Research on decision modeling of multi-energy players participating in multi-energy markets [J]. Distribution & Utilization , 2018 , 35 ( 11 ): 32 - 38 .

CAO Y , WEI W , MEI S . Decentralized operation of integrated heat-power energy systems: a market equilibrium based approach [C]// 2017 IEEE Conference on Energy Internet and Energy System Integration (EI 2 ) , November 26 - 28 , 2017 , Beijing, China.

KHORASANY M , MISHRA Y , LEDWICH G . Auction based energy trading in transactive energy market with active participation of prosumers and consumers [C]// 2017 Australasian Universities Power Engineering Conference (AUPEC) , November 19 - 22 , 2017 , Melbourne, Australia.

LIAN J , REN H , SUN Y , et al . Performance evaluation for transactive energy systems using double-auction market [J]. IEEE Transactions on Power Systems , 2018 , 34 ( 5 ): 4128 - 4137 .

WU M , BAO Y , ZHANG J , et al . Multi-objective optimization for electric water heater using mixed integer linear programming [J]. Journal of Modern Power Systems and Clean Energy , 2019 , 7 ( 5 ): 1256 - 1266 .

BROEER T . Analysis of smart grid and demand response technologies for renewable energy integration: operational and environmental challenges [J/OL]. Smart Grid [ 2015-04-23 ]. http://dspace.library.uvic.ca/handle/1828/6000 http://dspace.library.uvic.ca/handle/1828/6000 .

DAVID P C , JAKOB S , PANAJOTIS A , et al . A new thermostat for real-time price demand response: cost, comfort and energy impacts of discrete-time control without deadband [J]. Applied Energy , 2015 , 155 : 816 - 825 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Robust Optimization Based Coordinated Scheduling Strategy for Integrated Demand Response in Micro Energy Grid

Multi-objective Optimal Dispatch of Electricity-Gas-Heat Integrated Energy System Considering Comprehensive Energy Efficiency

Collaborative Optimal Configuration for Integrated Energy System Considering Uncertainties of Demand Response

基于联盟博弈的综合能源系统优化运行方法

Related Author

Lingmin CHEN

Jiekang WU

Wenjie ZHANG

Huiling TANG

Yunshou MAO

Hongkun CHEN

Yurong DING

Baolin LI

Related Institution

School of Physics & Optoelectronic Engineering, Guangdong University of Technology

Huizhou Power Supply Bureau of Guangdong Power Grid Co., Ltd.

Department of Experiment Teaching, Guangdong University of Technology

School of Automation, Guangdong University of Technology

NR Electric Co., Ltd.

⁰