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开发可再生能源技术以利用Matlab和Simulink缓解气候变化万博1manbetx


科学家和工程师使用Matlab®and Simulink®将太阳能,风和其他能量集成到网格中。这些可再生能源有助于减少对化石燃料的依赖性,并为能源模拟,预测和使用分布式能源系统的使用提供独特的机会。有五个例子,了解工程师如何利用这些机会,以及如何在您自己的项目中应用相同的工具和技术。

Distributed Energy System Planning and Design

分布式能源系统不仅使得更容易增加可再生能源的使用,它们还提供了一种减少对大型集中电站的依赖的方法。为了最大限度地提高可靠性,功率输出和投资回报,必须仔细计划和设计这些系统。

上海电气的工程师与加州大学伯克利大学的劳伦斯伯克利实验室的研究人员开发了一个分布式能源系统规划和设计平台,估计回收期,现金流量和基于时间序列天气数据的回报率,能源价格趋势,可用的政府补贴和其他因素。上海电气内外的数百名用户目前使用该平台来识别最佳的分布式能源系统设计。


麦克风rogrid Simulation

On the Hawaiian island of Lanai, a 1.2 megawatt photovoltaic (PV) solar farm helps fulfill a key goal of the Hawaii Clean Energy Initiative: meet 70% of the state’s energy demand with clean energy by 2030.

在在线携带太阳能电场之前,毛伊电器与桑迪亚国家实验室合作,以确保光伏系统将可靠,高效地运作,以及还提供电力岛的现有柴油发电机。Sandia Engineers使用Simu万博1manbetxlink和Simscape Electrical™来模拟监控系统,PV阵列,电源逆变器,电池,传统发电机和构成Lanai MicroGrid的系统负载。一旦型号可用,它们会耗尽模拟以评估配置选项,评估控制策略,并确定MicroGrid的能量存储子系统的正确尺寸。

麦克风rogrid Simulation

Wind Farm Grid Integration

Wind Farm Grid Integration

In Canada, wind energy has been the largest source of new electricity generation for more than 10 years. Engineers must fully understand how a new wind farm will perform before adding it to the grid. To accurately predict performance, they need to model the control system and power output of a single turbine, the aggregation of dozens of turbines into a wind farm, and the interaction of that wind farm with the larger network.

Engineers at Hydro-Québec built models in Simulink to represent individual turbines as well as entire wind farms. They use these simulations to forecast power output, plan the integration of wind farms into the grid, and ensure reliable operation of the overall power system.

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Virtual Power Plant Development

The South Korean government, as part of its Korea Renewable Energy 3020 Plan, has set a goal of generating 20% of the country’s energy from renewable sources within the next 10 years. The plan requires introducing multiple distributed energy resources (DERs)—such as solar farms, wind farms, and energy storage systems—into the grid, which can be destabilizing due to the difficult-to-predict power generation profiles of renewables.

Virtual power plants address the challenge of incorporating multiple independent DERs by combining them into a single generation profile. VGen used MATLAB to create and deploy a standalone Optimization/Trader system that included an AI-based forecasting model for renewable energy production as well as optimization modules to maximize profits in energy markets.

Virtual Power Plant Development

能源预测

能源预测

One way to accelerate the adoption of renewable energy sources is to ensure their economic viability. Variations in local wind speeds make wind farm production and financial forecasting challenging.

EDP​​可再生能源北美使用MATLAB通过将生产估计与期货市场的电价预测相结合,为生产估计结合起来,以获得准确的收益预测和风险预测。该公司的分析师使用MATLAB开发用于价格预测和投资组合和风险分析的自动化系统。这些系统用于评估潜在的风电场网站,并指导短期和长期业务决策。

Published 2021