基于综合需求响应和奖惩阶梯型碳交易的综合能源系统优化调度

doi:10.19799/j.cnki.2095-4239.2021.0692

储能科学与技术 ›› 2022, Vol. 11 ›› Issue (7): 2177-2187.doi: 10.19799/j.cnki.2095-4239.2021.0692

基于综合需求响应和奖惩阶梯型碳交易的综合能源系统优化调度

王俊伟¹(), 任艺², 郭尊³, 张岩⁴

^1.国网山西省电力公司运城供电公司，山西运城 044000
^2.国网北京市电力公司海淀供电公司，北京 100097
^3.国网经济技术研究院有限公司，北京 102209
^4.郑州工业应用技术学院机电工程学院，河南郑州 451100

收稿日期:2021-12-22 修回日期:2022-01-05 出版日期:2022-07-05 发布日期:2022-06-29
通讯作者: 王俊伟 E-mail:wjwawj@yeah.net
作者简介:王俊伟（1975—），男，硕士，高级工程师，研究方向为电力系统优化运行、电力市场、电力营销等。E-mail：wjwawj@yeah.net。
基金资助:
河南省自然科学基金项目(182300410229)

Optimal scheduling of integrated energy system considering integrated demand response and reward and punishment ladder carbon trading

Junwei WANG¹(), Yi REN², Zun GUO³, Yan ZHANG⁴

^1.State Grid Shanxi Electric Power Company Yuncheng Power Supply Company, Yuncheng 044000, Shanxi, China
^2.State Grid Beijing Electric Power Company Haidian Power Supply Company, Beijing 100097, China
^3.State Grid Economic and Technological Research Institute, Co. Ltd. , Beijing 102209, China
^4.School of Mechanical and Electrical Engineering, Zhengzhou University of Industrial Technology, Zhengzhou 451100, Henan, China

Received:2021-12-22 Revised:2022-01-05 Online:2022-07-05 Published:2022-06-29
Contact: Junwei WANG E-mail:wjwawj@yeah.net

摘要/Abstract

摘要：

随着能源需求急剧上升及环境污染日益严重，安全高效、低碳清洁的能源形式已成为能源发展的主流方向，而综合能源系统是降低环境污染排放、提高能源利用效率的有效途径之一。为了实现综合能源系统经济、低碳运行，本工作提出一种基于奖惩阶梯型碳交易机制和综合需求响应策略的综合能源系统低碳优化调度策略。首先，针对多元负荷的柔性特性和可调度价值，提出了考虑冷-热-电多元负荷的综合需求响应模型，并在此基础上，提出了响应补偿机制；其次，针对可再生能源的不确定性，采用拉丁超立方抽样法结合Kantorovich场景削减法生成光伏、风电和负荷的预测出力典型场景，并在优化调度模型中引入奖惩阶梯型碳交易成本，建立了以系统运行成本、响应补偿成本以及阶梯型碳交易成本之和最低的优化目标函数。最后，采用CPLEX工具箱对所提模型进行求解。算例仿真设置了不同场景，分析了综合需求响应策略和奖惩阶梯型碳交易机制对综合能源系统运行优化、节能减排的影响，验证了所建立的模型和策略能有效兼顾系统的经济、环境效益。

关键词: 综合能源系统, 奖惩阶梯型碳交易, 不确定性, 综合需求响应, 多能互补

Abstract:

Safe, efficient, low-carbon, and clean energy has become the dominant path of energy development, and an integrated energy system is one of the most effective strategies to minimize pollution emissions and enhance energy efficiency. To realize the economic and low-carbon operation of the system, this study proposes a low-carbon optimal scheduling strategy for an integrated energy system considering a reward and punishment ladder carbon trading mechanism and an integrated demand response strategy. To begin, an integrated demand response model for cooling, heat, and electricity multiple loads is provided based on the flexible properties and schedulable value of multiple loads. A response compensation technique is developed on this basis.Second, addressing the uncertainties of renewable energy, The Latin hypercube sampling method and kantorovich scenario reduction method are used to generate typical scenarios of the predicted output of photovoltaic, wind power, and load and the reward and punishment stepped carbon transaction cost is introduced into the optimal scheduling model, and the optimization objective function with the lowest sum of system operation cost, response compensation cost, and carbon transaction cost is established. Finally, the CPLEX toolbox solves the given model. The impacts of the integrated demand response technique and the reward and punishment stepped carbon trading mechanism on the operation optimization, energy conservation, and emission reduction of the comprehensive energy system are evaluated in the example simulation. It has been demonstrated that the developed model and approach can effectively account for the system's economic and environmental advantages

Key words: integrated energy system, reward and punishment ladder carbon trading, uncertainty, integrated demand response, multi-energy complementarity

中图分类号:

TM 921

王俊伟, 任艺, 郭尊, 张岩. 基于综合需求响应和奖惩阶梯型碳交易的综合能源系统优化调度[J]. 储能科学与技术, 2022, 11(7): 2177-2187.

Junwei WANG, Yi REN, Zun GUO, Yan ZHANG. Optimal scheduling of integrated energy system considering integrated demand response and reward and punishment ladder carbon trading[J]. Energy Storage Science and Technology, 2022, 11(7): 2177-2187.

图/表 10

图1

图2

表1

模型参数"

参数	值/kW	参数	值/kW
a/b/c	2.67/66.2/100	$P G T m a x$ / $P G T m i n$	600/0
δ_GT	0.35	$H G B m a x$ / $H G B m i n$	800/0
λ_WHB	0.85	η_GB	0.9
η_HST.chr,η_HST.dis	0.98，0.98	$P G r i d m a x$ , $P G r i d m i n$	700，0
η_BT.chr,η_BT.dis η_c.chr,η_c.dis $H H S T . c h r m i n$ , $H H S T c h r m a x$ γ_BT,γ_HST $Q a m a x$ , $Q c m a x$	0.95，0.95 0.67，0.75 0，200 0.02，0.03 450，300	$P B T . c h r m i n$ , $P B T . c h r m a x$ η_AR $P B T . d i s m i n$ , $P B T . d i s m a x$ $H H S T . d i s m i n$ , $H H S T d i s m a x$ $Q d m a x$	0，350 1.2 0，350 0，150 120

表1

表2

表3

图3

图4

图5

图6

图7

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电价	时段	元/kWh
	1∶00—5∶00, 23∶00—24∶00	0.5
分时电价	13:00—18:00	0.73
	6∶00—12∶00, 19∶00—22∶00	1.21
上网电价	全天	0.45

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基于综合需求响应和奖惩阶梯型碳交易的综合能源系统优化调度

Optimal scheduling of integrated energy system considering integrated demand response and reward and punishment ladder carbon trading

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