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Impacts of variable renewable generation on thermal power plant operating regimes

机译:可变可再生能源发电对火力发电厂运行方式的影响

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摘要

The integration of variable renewable energy sources (VRE) is likely to cause fundamental\udand structural changes to the operation of future power systems. In the United Kingdom (UK),\udlarge amounts of price-insensitive and variable-output wind generation is expected to be deployed\udto contribute towards renewable energy and carbon dioxide (CO2) emission targets.\udWind generation, with near-zero marginal costs, limited predictability, and a limited ability to\udprovide upward dispatch, displaces price-setting thermal power plants, with higher marginal\udcosts, changing flexibility and reserve requirements. New-build, commercial-scale, and low-carbon\udgeneration capacity, such as CO2 capture and storage (CCS) and nuclear, may impact\udpower system flexibility and ramping capabilities. Low-carbon generation portfolios with\udprice-sensitive thermal power plants and energy storage are therefore likely to be required to\udmanage increased levels of variability and uncertainty at operational timescales.\udThis work builds on a high-resolution wind reanalysis dataset of UK wind sites. The locations\udof existing and proposed wind farms are used to produce plausible and internally consistent\udwind deployment scenarios that represent the spatial distribution of future UK wind capacity.\udTemporally consistent electricity demand data is used to characterise and assess demand-wind\udvariability and net demand ramp events. A unit commitment and economic dispatch (UCED)\udmodel is developed to evaluate the likely operating regimes of thermal power plants and CCS-equipped\udunits across a range of future UK wind scenarios. Security constraints for reserve and\udpower plant operating constraints, such as power output limits, ramp rates, minimum up/down\udtimes, and start-up times, ensure the operational feasibility of dispatch schedules. The load factors,\udtime spent at different loads, and the ramping and start-up requirements of thermal power\udplants are assessed. CO2 duration curves are developed to assess the impacts of increasing wind\udcapacity on the distribution of CO2 emissions. A sensitivity analysis investigates the impacts\udof part-load efficiency losses, ramp rates, minimum up/down times, and start-up/shut-down\udcosts on power plant operating regimes and flexibility requirements. The interactions between\uda portfolio of energy storage units and flexible CO2 capture units are then explored.\udThis multi-disciplinary research presents a temporally-explicit and detailed assessment of operational\udflexibility requirements at full 8760 hour resolution, highlighting the non-linear impacts\udof increasing wind capacity. The methodological framework presented here uses high spatial-and\udtemporal-resolution wind data but is expected to provide useful insights for other VREbased\udpower systems to mitigate the implications of inadequate flexibility.
机译:可变可再生能源(VRE)的集成可能会导致未来电力系统的运行发生根本性的\ udand结构性变化。在英国(UK),\将部署大量价格不敏感且输出可变的风力发电\ ud,以实现可再生能源和二氧化碳(CO2)的排放目标。\ ud风力发电,边际收益几乎为零成本,有限的可预测性以及向上\过度提供的能力有限,从而取代了定价较高的火力发电厂,边际成本\更高,灵活性和储备要求不断变化。新建的,商业规模的和低碳发电能力,例如CO2捕集与封存(CCS)和核能,可能会影响udpower系统的灵活性和加速能力。因此,可能需要使用具有\价格敏感型热电厂和储能的低碳发电组合来\在运营时间尺度上管理不断增加的可变性和不确定性水平。\ ud这项工作基于英国风的高分辨率风再分析数据集网站。现有风电场和拟建风电场的位置\ ud用于生成合理且内部一致的\ udwind部署方案,这些方案表示未来英国风电的空间分布。\ ud临时一致的电力需求数据用于表征和评估需求风\ udvariability和净需求增长事件。开发了机组承诺和经济调度(UCED)\ udmodel,以评估英国未来风能情景中火电厂和配备CCS的\ udunit的可能运行方式。备用和发电厂运行约束的安全约束,例如功率输出限制,斜坡速率,最小上/下运行时间和启动时间,可确保调度计划的可操作性。评估了负载系数,\在不同负载下花费的时间,以及火力发电厂的启动和启动要求。建立了CO2持续时间曲线,以评估增加的风能/枯竭能力对CO2排放量分布的影响。敏感性分析调查了部分负荷效率损失,斜坡率,最小上/下时间以及启动/关闭/ udcosts对电厂运行方式和灵活性要求的影响。 \ ud储能单元和灵活的二氧化碳捕集单元之间的相互作用然后被探索。\ ud这项多学科研究提出了在8760小时的全分辨率下对时间\ udflexibility要求的时间明晰和详细的评估,突出了非线性影响\ udof增加风量。此处介绍的方法框架使用了高空间和\\时空分辨率的风数据,但有望为其他基于VRE的\ udpower系统提供有用的见解,以减轻灵活性不足的影响。

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