基于需求侧用户响应分析的电-气-热综合能源系碳经济调度

李虹, 林兰心, 赵小军

太阳能学报 ›› 2023, Vol. 44 ›› Issue (5) : 97-105.

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (5) : 97-105. DOI: 10.19912/j.0254-0096.tynxb.2021-1585

基于需求侧用户响应分析的电-气-热综合能源系碳经济调度

  • 李虹, 林兰心, 赵小军
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LOW CARBON ECONOMIC SCHEDULING OF ELECTRICITY-GAS-HEAT INTEGRATED ENERGY SYSTEM BASED ON DEMAND-SIDE USER RESPONSE ANALYSIS

  • Li Hong, Lin Lanxin, Zhao Xiaojun
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摘要

在低碳经济的背景下,为充分发挥供需双侧的互动潜力,提出一种考虑综合需求响应(IDR)和碳交易的电-气-热综合能源系统(EGH-IES)双层低碳经济调度模型。首先,提出考虑多能负荷自身特性、耦合特性和反弹效应的IDR模型和用户权衡经济效益、响应方式和用能偏好的综合效益模型。基于此,建立上层模型为引入奖惩阶梯型碳交易机制的EGH-IES低碳经济调度,下层模型为IDR策略的双层优化调度模型。然后,通过Karush-Kuhn-Tucker(KKT)条件、对偶定理和线性化方法将双层模型转换为混合整数线性规划问题进行求解。最后,算例分析表明,综合考虑碳交易和多元负荷特性能促进供需双侧的联合优化,充分发挥EGH-IES的经济低碳性。

Abstract

In order to give full play to the interaction potential of both sides of supply and demand under the background of low-carbon economy,a bi-level low-carbon economy scheduling model of electricity-gas-heat integrated energy system(EGH-IES) considering integrated demand response(IDR) and carbon trading mechanism is proposed.Firstly,an IDR model considering the self-characteristics,coupling characteristics and load rebound effect of multi-energy loads and a comprehensive benefit model of weighing economic benefit,response mode and energy preference of users are proposed.Based on this,a bi-level optimal scheduling model is established. The upper model is the EGH-IES low-carbon economic optimal scheduling including the carbon trading mechanism based on rewards and punishments,and the lower model is IDR strategy. Then, the bi-level model is converted into a mixed integer linear programming problem by Karush-Kuhn-Tucker(KKT) condition, duality theorem and linearization method. Finally, the example analysis shows that considering carbon trading mechanism and multiple load characteristics can promote the joint optimization of supply and demand sides,and give full play to the low carbon economy of EGH-IES.

关键词

风电 / 优化 / 数学模型 / 需求侧管理 / 电-气-热综合能源系统 / 碳交易机制 / 负荷特性

Key words

wind power / optimization / mathematical models / demand side management / electricity-gas-heat integrated energy system / carbon trading mechanism / load characteristics

引用本文

导出引用
李虹, 林兰心, 赵小军. 基于需求侧用户响应分析的电-气-热综合能源系碳经济调度[J]. 太阳能学报. 2023, 44(5): 97-105 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1585
Li Hong, Lin Lanxin, Zhao Xiaojun. LOW CARBON ECONOMIC SCHEDULING OF ELECTRICITY-GAS-HEAT INTEGRATED ENERGY SYSTEM BASED ON DEMAND-SIDE USER RESPONSE ANALYSIS[J]. Acta Energiae Solaris Sinica. 2023, 44(5): 97-105 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1585
中图分类号: TM73   

参考文献

[1] 李更丰, 黄玉雄, 别朝红, 等. 综合能源系统运行可靠性评估综述及展望[J]. 电力自动化设备, 2019, 39(8): 12-21.
LI G F, HUANG Y X, BIE Z H, et al.Review and prospect of operational reliability evaluation of integrated energy system[J]. Electric power automation equipment, 2019, 39(8): 12-21.
[2] ZHU H X, YU T, CHEN Z, et al.Distributed optimal dispatching of interconnected electricity-gas-heating system[J]. IEEE access, 2020, 8: 93309-93321.
[3] 瞿凯平, 黄琳妮, 余涛, 等. 碳交易机制下多区域综合能源系统的分散调度[J]. 中国电机工程学报, 2018, 38(3): 697-707.
QU K P, HUANG L N, YU T, et al.Decentralized dispatch of multi-area integrated energy systems with carbon trading[J]. Proceedings of the CSEE, 2018, 38(3): 697-707.
[4] 崔杨, 曾鹏, 仲悟之, 等. 考虑阶梯式碳交易的电-气-热综合能源系统低碳经济调度[J]. 电力自动化设备, 2021, 41(3): 10-17.
CUI Y, ZENG P, ZHONG W Z, et al.Low-carbon economic dispatch of electricity-gas-heat integrated energy system based on ladder-type carbon trading[J]. Electric power automation equipment, 2021, 41(3): 10-17.
[5] ZHANG X H, LIU X Y, ZHONG J Q, et al.Electricity-gas-integrated energy planning based on reward and penalty ladder-type carbon trading cost[J]. IET generation, transmission & distribution, 2019, 13(23): 5263-5270.
[6] 朱伟业, 罗毅, 胡博, 等. 热负荷弹性与分时电价需求侧响应协同促进碳减排的电热优化调度[J]. 电网技术, 2021, 45(10): 3803-3813.
ZHU W Y, LUO Y, HU B, et al.Optimized combined heat and power dispatch considering decreasing carbon emission by coordination of heat load elasticity and time-of-use demand response[J]. Power system technology, 2021, 45(10): 3803-3813.
[7] GU H F, LI Y, JIE Y, et al.Bi-level optimal low-carbon economic dispatch for an industrial park with consideration of multi-energy price incentives[J]. Applied energy, 2020, 262: 114276.
[8] 张伊宁, 何宇斌, 晏鸣宇, 等. 计及需求响应与动态气潮流的电-气综合能源系统优化调度[J]. 电力系统自动化, 2018, 42(20): 1-8.
ZHANG Y N, HE Y B, YAN M Y, et al.Optimal dispatch of integrated electricity-natural gas system considering demand response and dynamic natural gas flow[J]. Automation of electric power system, 2018, 42(20): 1-8.
[9] 徐箭, 胡佳, 廖思阳, 等. 考虑网络动态特性与综合需求响应的综合能源系统协同优化[J]. 电力系统自动化, 2021, 45(12): 40-48.
XU J, HU J, LIAO S Y, et al.Coordinated optimization of integrated energy system considering network dynamic characteristics and integrated demand response[J]. Automation of electric power system, 2021, 45(12): 40-48.
[10] 吴勇, 吕林, 许立雄, 等. 考虑电/热/气耦合需求响应的多能微网多种储能容量综合优化配置[J]. 电力系统保护与控制, 2020, 48(16): 1-10.
WU Y, LYU L, XU L X, et al.Optimized allocation of various energy storage capacities in a multi-energy micro-grid considering electrical/thermal/gas coupling demand response[J]. Power system protection and control, 2020, 48(16): 1-10.
[11] JIANG Z Q, AI Q, HAO R.Integrated demand response mechanism for industrial energy system based on multi-energy interaction[J]. IEEE access, 2019, 7: 66336-66346.
[12] 赵海彭, 苗世洪, 李超, 等. 考虑冷热电需求耦合响应特性的园区综合能源系统优化运行策略研究[J]. 中国电机工程学报, 2022, 42(2): 573-589.
ZHAO H P, MIAO S H, LI C, et al.Research on optimal operation strategy for regional integrated energy system considering cold-heat-electric demand coupling response characteristics[J]. Proceedings of the CSEE, 2022, 42(2): 573-589.
[13] 李鹏, 吴迪凡, 李雨薇, 等. 基于综合需求响应和主从博弈的多微网综合能源系统优化调度策略[J]. 中国电机工程学报, 2021, 41(4): 1307-1321, 1538.
LI P, WU D F, LI Y W, et al.Optimal dispatch of multi-microgrids integrated energy system based on integrated demand response and stackelberg game[J]. Proceedings of the CSEE, 2021, 41(4): 1307-1321, 1538.
[14] 徐业琰, 廖清芬, 刘涤尘, 等. 基于综合需求响应和博弈的区域综合能源系统多主体日内联合优化调度[J]. 电网技术, 2019, 43(7): 2506-2518.
XU Y Y, LIAO Q F, LIU D C, et al.Multi-player intraday optimal dispatch of integrated energy system based on integrated demand response and games[J]. Power system technology, 2019, 43(7): 2506-2518.
[15] 胡鹏, 艾欣, 张朔, 等. 基于需求响应的分时电价主从博弈建模与仿真研究[J]. 电网技术, 2020, 44(2): 585-592.
HU P, AI X, ZHANG S, et al.Modelling and simulation study of tou stackelberg game based on demand response[J]. Power system technology, 2020, 44(2): 585-592.
[16] 肖勇, 王岩, 钱斌, 等. 考虑发用电协调的售电公司负荷组合优化建模方法[J]. 电力系统自动化, 2020, 44(20): 148-156.
XIAO Y, WANG Y, QIAN B, et al.Modeling method of load combination optimization for electricity retailer considering coordination of power generation and consumption[J]. Automation of electric power system, 2020, 44(20): 148-156.
[17] 张晓辉, 闫柯柯, 卢志刚, 等. 基于碳交易的含风电系统低碳经济调度[J]. 电网技术, 2013, 37(10): 2697-2704.
ZHANG X H, YAN K K, LU Z G, et al.Carbon trading based low-carbon economic dispatching for power grid integrated with wind power system[J]. Power system technology, 2013, 37(10): 2697-2704.
[18] 董帅, 王成福, 梁军, 等. 计及电转气运行成本的综合能源系统多目标日前优化调度[J]. 电力系统自动化, 2018, 42(11): 8-15,121.
DONG S, WANG C F, LIANG J, et al.Multi-objective optimal day-ahead dispatch of integrated energy system considering power to gas operation cost[J]. Automation of electric power system, 2018, 42(11): 8-15,121.
[19] 陈胜, 卫志农, 孙国强, 等. 电-气混联综合能源系统概率能量流分析[J]. 中国电机工程学报, 2015, 35(24): 6331-6340.
CHEN S, WEI Z N, SUN G Q, et al.Probabilistic energy flow analysis in integrated electricity and natural-gas energy systems[J]. Proceedings of the CSEE, 2015, 35(24): 6331-6340.
[20] 葛晓琳, 王云鹏, 朱肖和, 等. 计及差异化能量惯性的电-热-气综合能源系统日前优化调度[J]. 电网技术, 2021, 45(12): 4630-4642.
GE X L, WANG Y P, ZHU X H, et al.Day-ahead optimal scheduling method for integrated power, heat and gas energy system considering differentiation energy inertia[J]. Power system technology, 2021, 45(12): 4630-4642.

基金

国家自然科学基金(51607068)

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