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Emission Trading Based Optimal Scheduling Strategy of Energy Hub with Energy Storage and Integrated Electric Vehicles
Journal of Modern Power Systems and Clean Energy ( IF 5.7 ) Pub Date : 2020-03-09 , DOI: 10.35833/mpce.2019.000144
Yanhong Luo , Xinwen Zhang , Dongsheng Yang , Qiuye Sun

This paper focuses on the optimal scheduling of the district energy system with multiple energy supply modes and flexible loads. For multi-energy system (MES), the energy hub (EH) model including energy storage system and integrated electric vehicle (EV) is established. Based on the model, the influence of pollutant trading market on total operation cost is analyzed, and the optimal scheduling strategy is further put forward to realize the minimum purchase cost and emission tax cost of the MES. Finally, this paper compares the economic benefit of the fixed mode and the response mode, and discusses the contribution of the energy storage device and the multi-energy complementary mode to energy utilization efficiency. The simulation results indicate that optimal scheduling strategy of the EH can coordinate various energy complementary modes reasonably. Meanwhile, the proposed strategy is able to improve the operation economy of the EH, and ensure the better response effect of the demand side. The sensitivity analysis demonstrates the impact of pollutant emission price change on emission reduction.

中文翻译:

基于排放交易的储能集成电动汽车能源枢纽最优调度策略

本文着眼于具有多种能源供应模式和灵活负荷的区域能源系统的最优调度。对于多能源系统(MES),建立了包括能量存储系统和集成电动汽车(EV)的能源枢纽(EH)模型。在此模型的基础上,分析了污染物交易市场对总运营成本的影响,并提出了最优调度策略,以实现MES的最低采购成本和排放税成本。最后,比较了固定模式和响应模式的经济效益,并讨论了储能装置和多能量互补模式对能源利用效率的贡献。仿真结果表明,EH的最优调度策略可以合理地协调各种能量互补模式。同时,所提出的策略能够改善EH的运营经济性,并确保需求方更好的响应效果。敏感性分析表明了污染物排放价格变化对减排的影响。
更新日期:2020-04-22
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