OPTIMAL OPERATION OF BI-LEVEL MICROGRID WITH LOW CARBON ECONOMY CONSIDERING DYNAMIC PRICING MECHANISM

Zhang Zhongbin, Zhao Zhihua, Wang Ping, Zhai Pan

Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (11) : 532-541.

PDF(2111 KB)
Welcome to visit Acta Energiae Solaris Sinica, Today is
PDF(2111 KB)
Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (11) : 532-541. DOI: 10.19912/j.0254-0096.tynxb.2024-1292

OPTIMAL OPERATION OF BI-LEVEL MICROGRID WITH LOW CARBON ECONOMY CONSIDERING DYNAMIC PRICING MECHANISM

  • Zhang Zhongbin1, Zhao Zhihua2, Wang Ping1, Zhai Pan1
Author information +
History +

Abstract

Focusing on the coordination of interests between the energy side and the load side in microgrids, this paper proposes a dynamic energy pricing mechanism that incorporates carbon emissions and demand response characteristics. Firstly, a dynamic pricing model considering carbon emissions as well as the demand response of electrical and thermal loads is established, and a combined operational mode of wind-solar power generation and carbon capture is put forward. Secondly, a bi-level optimization model involving multiple stakeholders is constructed, where the upper level consists of microgrid energy operators and the lower level includes load aggregators and electric vehicle charging stations. Subsequently, to address the issue of searching for the optimal solution in the bi-level model, a joint optimal discrimination mechanism for the bi-level model is introduced. Finally, the CPLEX solver is employed to iteratively solve the microgrid bi-level optimization model, and the case study results verify the effectiveness of the proposed dynamic energy pricing method and the combined wind-solar power generation-carbon capture operation mode in enhancing the economic efficiency and low-carbon performance of the microgrid system.

Key words

microgrid / electric vehicles / demand response / dynamic pricing / bi-level optimization / carbon trading

Cite this article

Download Citations
Zhang Zhongbin, Zhao Zhihua, Wang Ping, Zhai Pan. OPTIMAL OPERATION OF BI-LEVEL MICROGRID WITH LOW CARBON ECONOMY CONSIDERING DYNAMIC PRICING MECHANISM[J]. Acta Energiae Solaris Sinica. 2025, 46(11): 532-541 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1292

References

[1] 辛保安, 单葆国, 李琼慧, 等. “双碳” 目标下“能源三要素” 再思考[J]. 中国电机工程学报, 2022, 42(9): 3117-3126.
XIN B A, SHAN B G, LI Q H, et al.Rethinking of the “three elements of energy” toward carbon peak and carbon neutrality[J]. Proceedings of the CSEE, 2022, 42(9): 3117-3126.
[2] 段新会, 黄嵘, 齐传杰, 等. 计及碳交易与需求响应的微能源网双层优化模型[J]. 太阳能学报, 2024, 45(3): 310-318.
DUAN X H, HUANG R, QI C J, et al.Bi-level optimization model for micro energy grid considering carbon trading and demand response[J]. Acta energiae solaris sinica, 2024, 45(3): 310-318.
[3] 杨丽君, 杨博, 安立明, 等. 考虑电动汽车响应的光储微电网储能优化配置[J]. 太阳能学报, 2020, 41(4): 340-347.
YANG L J, YANG B, AN L M, et al.Optimal configuration of grid-connected PV-and-storage microgrid considering EVS’demand response[J]. Acta energiae solaris sinica, 2020, 41(4): 340-347.
[4] LU Q, GUO Q S, ZENG W.Optimization scheduling of integrated energy service system in community: a bi-layer optimization model considering multi-energy demand response and user satisfaction[J]. Energy, 2022, 252: 124063.
[5] 华昊辰, 吴浩星, 陈星莺, 等. 考虑用能经济性与用户满意度灵活协同的综合能源系统双层优化[J]. 电网技术, 2024, 48(10): 4174-4188.
HUA H C, WU H X, CHEN X Y, et al.Double-layer optimization of integrated energy systems considering flexible collaboration between energy economy and user satisfaction[J]. Power system technology, 2024, 48(10): 4174-4188.
[6] 栗然, 吕慧敏, 彭湘泽, 等. 考虑动态定价和碳交易的多园区综合能源服务商低碳合作优化策略[J]. 太阳能学报, 2024, 45(3): 337-346.
LI R, LYU H M, PENG X Z, et al.Optimization strategy for low-carbon cooperation of multi-district integrated energy service providers considering dynamic pricing and carbon trading[J]. Acta energiae solaris sinica, 2024, 45(3): 337-346.
[7] 关艳, 高曦莹, 陆心怡, 等. 考虑碳排放的新能源电网电力交易动态定价方法[J]. 可再生能源, 2024, 42(1): 112-118.
GUAN Y, GAO X Y, LU X Y, et al.A dynamic pricing method for power trading of new energy power grid considering carbon emission reduction[J]. Renewable energy resources, 2024, 42(1): 112-118.
[8] 高鹏, 王雨晴, 闫家豪. 基于CRPS的整县光伏虚拟电厂动态电价机制研究[J]. 智慧电力, 2023, 51(9): 16-21, 30.
GAO P, WANG Y Q, YAN J H.Dynamic pricing mechanism of county photovoltaic virtual power plant based on CRPS[J]. Smart power, 2023, 51(9): 16-21, 30.
[9] 程宇, 郭权利. 计及动态能源价格和共享储能电站的多主体综合能源系统双层优化调度策略[J]. 现代电力, 2024, 41(1): 10-20.
CHENG Y, GUO Q L.Bi-level optimal scheduling strategy of multi-agent integrated energy system with dynamic energy prices and shared energy storage power station[J]. Modern electric power, 2024, 41(1): 10-20.
[10] 陈倩, 王维庆, 王海云. 含分布式能源的配电网双层优化运行策略[J]. 太阳能学报, 2022, 43(10): 507-517.
CHEN Q, WANG W Q, WANG H Y.Bi-level optimal operation strategy of distribution network with distributed energy[J]. Acta energiae solaris sinica, 2022, 43(10): 507-517.
[11] 胡福年, 周小博, 张彭成, 等. 计及碳捕集的综合能源系统低碳经济优化调度[J]. 太阳能学报, 2024, 45(3): 419-427.
HU F N, ZHOU X B, ZHANG P C, et al.Low carbon economy optimal dispatching of integrated energy system taking into account carbon capture[J]. Acta energiae solaris sinica, 2024, 45(3): 419-427.
[12] LUO Z, WANG J H, XIAO N, et al.Low carbon economic dispatch optimization of regional integrated energy systems considering heating network and P2G[J]. Energies, 2022, 15(15): 5494.
[13] 袁乐, 朱莹, 高瑞阳. 源-荷协同优化的综合能源系统低碳经济调度策略研究[J]. 电工电气, 2024(3): 6-14.
YUAN L, ZHU Y, GAO R Y.Research on low-carbon economic dispatch strategy of integrated energy system based on source-load collaborative optimization[J]. Electrotechnics electric, 2024(3): 6-14.
[14] JI Z, KANG C Q, CHEN Q X, et al.Low-carbon power system dispatch incorporating carbon capture power plants[J]. IEEE transactions on power systems, 2013, 28(4): 4615-4623.
[15] MARTENS P, DELARUE E, D’HAESELEER W. A mixed integer linear programming model for a pulverized coal plant with post-combustion carbon capture[J]. IEEE transactions on power systems, 2011, 27(2): 741-751.
[16] 邓海晖, 王毅, 陈中, 等. 考虑多微电网的主动配电网双层优化调度[J]. 广东电力, 2022, 35(1): 42-50.
DENG H H, WANG Y, CHEN Z, et al.Bi-level optimized scheduling of active distribution network considering multi-microgrids[J]. Guangdong electric power, 2022, 35(1): 42-50.
[17] CHEN W J, ZHANG J, LI F, et al.Low carbon economic dispatch of integrated energy system considering power-to-gas heat recovery and carbon capture[J]. Energies, 2023, 16(8): 3472.
[18] LI Y, HAN M, YANG Z, et al.Coordinating flexible demand response and renewable uncertainties for scheduling of community integrated energy systems with an electric vehicle charging station: a bi-level approach[J]. IEEE transactions on sustainable energy, 2021, 12(4): 2321-2331.
[19] 李波, 程静. 考虑源-荷协调响应和动态定价的虚拟电厂双层优化[J]. 太阳能学报, 2024, 45(10): 107-120.
LI B, CHENG J.Two-level optimization of virtual power plant considering source-load coordinated response and dynamic pricing[J]. Acta energiae solaris sinica, 2024, 45(10): 107-120.
PDF(2111 KB)

Accesses

Citation

Detail

Sections
Recommended

/