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Daily Operation Optimization for Grid-Connected Hybrid System Considering Short-Term Electricity Price Forecast Scheme

机译:考虑短期电价预测方案的并网混合系统日常运行优化

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With an increasing public and governmental awareness regarding environment protection and sustainable resources, hand-in-hand with an escalating electricity demand, the exponential growth of renewable energy generation capacity has been the “answer”. Mitigating the environmental harms associated with the more conventional energy sources such as: coal, oil, gas and nuclear. Nonetheless, some challenges remain, particularly concerning the integration of these technologies into the conventional generation mix. Hybrid energy systems allow a paradigm shift from a concentrated conventional generation to a more distributed one. This paper discusses the optimized PV-wind with hydro and battery storage capabilities for a grid-connected application considering the Short-Term Price Forecast information. The proposed technique has been tested in different scenarios, and results demonstrate the effectiveness of the proposed approach.
机译:随着公众和政府对环境保护和可持续资源的意识与日俱增,同时电力需求不断增长,可再生能源发电能力的指数级增长已成为“答案”。减轻与更常规能源(如煤,石油,天然气和核能)相关的环境危害。尽管如此,仍然存在一些挑战,特别是在将这些技术集成到常规发电组合中。混合能源系统允许范式从传统的集中发电转变为分布更广的发电。本文讨论了考虑短期价格预测信息的并网应用中具有水电和电池存储功能的优化PV风能。所提出的技术已在不同的场景中进行了测试,结果证明了所提出方法的有效性。

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