首页> 外文会议>International Conference on Power System Technology >The Capacity Joint Optimization of Energy Storage and Renewable Generation Based on Simulation
【24h】

The Capacity Joint Optimization of Energy Storage and Renewable Generation Based on Simulation

机译:基于仿真的储能与可再生能源发电容量联合优化

获取原文

摘要

In the power grid with high penetration of renewable energy (RE), energy storage plays an important role in reducing the curtailment quantity of RE. In the future, the coordinated operation of multi-energy will become the development direction of the power system. The suitable capacity of energy storage to obtain the best economic benefit is related to the capacity of the renewable energy in the system. For a multi-energy complementary system with high penetration of RE, a long-term planning model to co-optimize the capacity of energy storages and renewable generation based on the time sequence simulation method (TSSM) is proposed. A typical multi-energy system is investigated in the paper. Besides the conventional constraints, the operation constraints of charge-discharge properties of the battery energy storage, the curtailment rate of RE and the features of concentrating solar power (CSP) all are taken into consideration. The proposed model can ensure the annual power balance with renewable power generation at different period of time. the results verify the rationality of the proposed model and the correctness of the theoretical analysis, which is instructive for the capacity planning of the energy storage and renewable generation in the system with high penetration of RE.
机译:在可再生能源(RE)渗透率很高的电网中,储能在减少可再生能源的削减量方面起着重要作用。未来,多能源协同运行将成为电力系统的发展方向。获得最佳经济效益的合适储能能力与系统中可再生能源的能力有关。针对可再生能源高渗透率的多能源互补系统,提出了一种基于时序仿真方法(TSSM)的协同优化储能和可再生能源发电能力的长期规划模型。本文研究了一种典型的多能量系统。除常规约束外,还考虑了电池储能器的充放电性能,RE的缩减率和太阳能发电(CSP)的特性等运行约束。所提出的模型可以确保不同时期内可再生能源发电的年度电力平衡。研究结果验证了所提模型的合理性和理论分析的正确性,对高渗透率可再生能源系统储能和可再生能源发电容量规划具有指导意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号