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提升风电就地消纳的多介质储能系统容量优化配置
The capacity optimization of multi-medium energy storage system improving local consumption of wind power
投稿时间:2018-04-19  修订日期:2018-05-21
DOI:
中文关键词:  风电消纳  多介质储能系统  优化调度  容量配置
英文关键词:wind power consumption  multi-medium energy storage system  optimal operation  capacity configuration
基金项目:湖南省科技重大专项(2016GK1003);国家重点研发计划项目(2017YFGX100110);国家电网公司总部科技项目(KY-SG-2016-204-JLDKY)
作者单位E-mail
谢志佳 中国电力科学研究院有限公司 xiezhijia1989@sina.com 
李建林 中国电力科学研究院有限公司  
惠东 中国电力科学研究院有限公司  
摘要点击次数: 66
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中文摘要:
      为解决“三北”地区供热期间“风热冲突”问题,在风电消纳困难的电网末端加装多介质储能系统,组成风电-电储能-热储能联合系统,利用弃风电量进行供热以促进风电就地消纳。基于分时电价机制采取低谷储能峰平释能的运行策略动态调整热负荷功率和电网侧功率,既实现了对储热设备出力的优化调度,同时由联合系统能量平衡原则得到储能系统的实时充放电功率,实现对储能功率和容量的配置。建立基于能效、经济、环境的多目标优化模型,采用多目标非支配粒子群算法对所建模型进行求解,通过算例仿真验证了所提方法的有效性和实用可行性。
英文摘要:
      In order to solve the “wind-heat conflict” during heating period in the “Three North” region, a multi-medium energy storage system is installed at the end of the power grid where wind power is difficult to absorb to form a wind power-electric energy storage-heat storage energy combined system. And the abandoned wind power is used for heating to promote the local consumption of wind power. Based on the TOU price mechanism, the operation strategy of energy storage is dynamically adjusted to adjust the thermal load power and grid-side power. This not only achieves optimal dispatch of thermal storage equipment output, but also provides real-time energy storage system charging by the principle of energy balance of the combined system. A multi-objective optimization model based on energy efficiency, economy, and environment was established. A multi-objective non-dominated particle swarm optimization algorithm was used to solve the proposed model. The validity and practical feasibility of the proposed method was verified by numerical examples.
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