Abstract
Improving the utilization rate of renewable energy and realizing low carbon operation of multi-microgrids (MMGs) system is one of the important directions of power system reform. The utilization rate will be increased if energy storage devices are used. In the scenario of MMGs interconnection, the construction cost of energy storage of MMGs system can be significantly reduced under the role of shared energy storage. However, how to reduce the construction cost of energy storage while balancing the capacity and investment costs of energy storage devices is a pressing issue in the present. The configuration of a hybrid electric and thermal energy storage device in a MMGs system is proposed in this paper. Each microgrid can lease the hybrid energy storage device to trade energy with it, and manage energy by coordinating the economic layer and energy layer. Through simulation, it is verified that the MMGs energy management method can effectively improve the efficiency of renewable energy utilization in the MMGs system while reducing the dependence of the system on the external grid. Moreover, the operating cost of the system is reduced by 12.7% under the management method this paper proposed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kang, C., Du, E., Li, Y.: Key scientific problems and research of new power systems. Power Syst. Technol. 46(3), 821–833 (2022). (in Chinese)
Li, Z., Chen, S., Dong, W.: Low carbon transition pathway of power sector under carbon emission constraints. Proc. CSEE 41(12), 3987–4001 (2021). (in Chinese)
Wang, R., Li, W., Sun. Q.: Fully distributed dynamic edge-event-triggered current sharing control strategy for multi-bus DC microgrids with power coupling. IEEE Trans. Ind. Inf., 3188352 (2022)
Cao, J., Hua, H., Ren, G.: Energy use and the Internet. In: The SAGE Encyclopedia of the Internet, pp. 344–350(2018)
Hao, H., Qin, Y., Cao, J.: Coordinated frequency control for multiple microgrids in energy internet: a stochastic approach. In: 2018 IEEE PES Innovative Smart Grid Technologies Asia, pp. 810–815 (2018)
Zhang, W., Xu, Y.: Distributed optimal control for multiple microgrids in a distribution network. IEEE Trans. Smart Grid 10(4), 3765–3779 (2019)
Wang, D., Li, S., Jia, H.: Study on internalized security domain of regional integrated energy system with renewable energy sources (I): concept, modeling and downscaling observation. Proc. CSEE 42(09), 3188–3204 (2022). (in Chinese)
Wang, R., Sun, Q., Hu, W.: SoC-based droop coefficients stability region analysis of the battery for stand-alone supply systems with constant power loads. IEEE Trans. Power Electron. 36(7), 7866–7879 (2021)
Vasudevan, K.R., Ramachandaramurthy, V.K., Venugopal, G.: Hierarchical frequency control framework for a remote microgrid with Pico hydel energy storage and wind turbine. Int. J. Electr. Power Energy Syst. 127, 106666 (2021)
Savolainen, R., Lahdelma, R.: Optimization of renewable energy for buildings with energy storages and 15-minute power balance. Energy 243, 123056 (2022)
Huang, X.: Capacity optimization of distributed power supply for independent microgrid with controllable load. Proc. CSEE 38(07), 1962–1970+2211 (2018). (in Chinese)
Gu, B., Mao, C., Liu, B.: Optimal charge/discharge scheduling for batteries in energy router-based microgrids of prosumers via peer-to-peer trading. IEEE Trans. Energy Convers. 13(3), 1315–1328 (2022)
Qin, Y., Hua, H., Cao, J.: Stochastic optimal control scheme for battery lifetime extension in islanded microgrid via a novel modeling approach. IEEE Trans. Smart Grid 10(4), 4467–4475 (2019)
Sun, Y., Yue, H., Zhang, J.: Minimization of residential energy cost considering energy storage system and EV with driving usage probabilities. IEEE Trans. Sustain. Energy 10(4), 1752–1763 (2019)
Zhou, Y., Hu, W., Min, Y.: Pricing and benefit allocation method for cogeneration participation in grid peaking compensation. Proc. CSEE 39(18), 5325–5335+5579 (2019). (in Chinese)
Wang, Z., Yang, L., Tian, C.: Energy optimization of combined wind power-electric storage and thermal storage electric boiler system considering wind power consumption. Proc. CSEE 37(S1), 137–143 (2017). (in Chinese)
Sun, T., Lu, J., Li, Z.: Modeling combined heat and power systems for microgrid applications. IEEE Trans. Smart Grid 9(5), 4172–4180 (2018)
Liu, N., Wang, J., Wang, L.: Hybrid energy sharing for multiple microgrids in an integrated heat-electricity energy system. IEEE Trans. Sustain. Energy 10(3), 1139–1151 (2018)
Yuan, G., Liu, H., Yu, J.: Combined heat and power optimization scheduling for virtual power plants with carbon capture cogeneration units. Proc. CSEE 42(12), 4440–4449 (2022). (in Chinese)
Ge, Z., Ma, L., He, J.: Study of load characteristics of gas-steam combined cycle cogeneration units with multiple operating modes. Proc. CSEE 40(8), 2587–2597 (2020). (in Chinese)
Shui, Y., Liu, J., Gao, H.: Robust coordinated optimization scheduling model for distribution of electric and thermal integrated systems considering wind power uncertainty. Proc. CSEE 38(24), 7235–7247 (2018). (in Chinese)
Dai, Y., Chen, L., Min, Y.: Optimal scheduling of combined operation of wind farms and cogeneration with heat storage. Proc. CSEE 37(12), 3470–3479+3675(2017). (in Chinese)
Hua, H., Wei, Z., Qin, Y.: A review of distributed control and optimization in energy Internet: From traditional methods to artificial intelligence-based methods. IET Cyber-Phys. Syst.: Theory Appl. 6(2), 63–79 (2021)
Hua, H., Qin, Y., He, Z.: Energy sharing and frequency regulation in energy Internet via mixed control with Markovian jump. CSEE J. Power Energy Syst. 7(6), 1302–1311 (2021)
Özge, E, Ümmühan, B.: Filik.: A Stackelberg game approach for energy sharing management of a microgrid providing flexibility to entities. Appl. Energy 316, 118944 (2022)
Hu, J., Li, P., Lin, S.: An energy sharing approach for smart building clusters considering time-of-use tariff differentiation and master-slave game based. Power Syst. Technol. 45(12), 4738–4750 (2021). (in Chinese)
Shuai L, Ma Z, Wang X.: Study on the optimal operation of shared energy storage and integrated energy microgrid based on master-slave game theory. Power Syst. Technol. 2191 (2022). (in Chinese)
Li, X., Fang, Z., Li, F.: Optimal dispatch of distribution grid game with multiple microgrids leasing shared energy storage. Proc. CSEE 26(12), 28–36 (2011). (in Chinese)
Wang, B., Zhang, C., Li, C.: Transactive energy sharing in a microgrid via an enhanced distributed adaptive robust optimization approach. IEEE Trans. Smart Grid 13(3), 2279–2293 (2022)
Zheng, S., **, X., Huang, G.: Coordination of commercial prosumers with distributed demand-side flexibility in energy sharing and management system. Energy 248, 123634 (2022)
Wang, R., Ma, D., Li, M.: Accurate current sharing and voltage regulation in hybrid wind/solar systems: an adaptive dynamic programming approach. IEEE Trans. Consum. Electron. 68(3), 261–272 (2022)
Cao, W., **ao, J., Cui, S.: An efficient and economical storage and energy sharing model for multiple multi-energy microgrids. Energy 244, 123124 (2022)
Wu, J., Lou, P., Guan, M.: operation optimization strategy of multi-microgrids energy sharing based on asymmetric nash bargaining. Power Syst. Technol. 46(07), 2711–2723 (2022). (in Chinese)
Ma, Y., Wang, H., Hong, F.: Modeling and optimization of combined heat and power with power-to-gas and carbon capture system in integrated energy system. Energy 236, 121392 (2021)
He, L., Lu, Z., Zhang, J.: Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas. Appl. Energy 224, 357–370 (2018)
Dong, S., Wang, C., Liang, J.: Multi-objective optimal day-ahead dispatch of integrated energy system conceding power-to-gas operation cost. Autom. Electr. Power Syst. 42(11), 8–15 (2018). (in Chinese)
Cui, S., Wang, Y., Liu, X.: Economic storage sharing framework: asymmetric bargaining-based energy cooperation. IEEE Trans. Ind. Inf. 17(4), 7489–7500 (2021)
Zhang, N., Kang, C., **a, Q.: A convex model of risk-based unit commitment for day-ahead market clearing considering wind power uncertainty. IEEE Trans. Power Syst. 30(3), 1582–15929 (2015)
Acknowledgments
This work was supported in part by the National Natural Science Foundation of China under Grant 52107089, in part by China Postdoctoral Science Foundation under Grant 2021M700040, in part by the Fundamental Research Funds for the Central Universities of China under Grant B200201071, in part by China Postdoctoral Science Foundation under Grant 2022T150182, and in part by 2021 Jiangsu Shuangchuang (Mass Innovation and Entrepreneurship) Talent Program under Grant JSSCBS20210248.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 Bei**g Paike Culture Commu. Co., Ltd.
About this paper
Cite this paper
Wu, X., Hua, H., Chen, X., Wang, B., Yu, K., Gan, L. (2023). Energy Management of Multi-microgrids Based on Coordinated Multi-energy Response with Shared Energy Storage. In: **e, K., Hu, J., Yang, Q., Li, J. (eds) The Proceedings of the 17th Annual Conference of China Electrotechnical Society. ACCES 2022. Lecture Notes in Electrical Engineering, vol 1014. Springer, Singapore. https://doi.org/10.1007/978-981-99-0408-2_48
Download citation
DOI: https://doi.org/10.1007/978-981-99-0408-2_48
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-0407-5
Online ISBN: 978-981-99-0408-2
eBook Packages: EngineeringEngineering (R0)