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Optimization model for the short-term joint operation of a grid-connected wind-photovoltaic-hydro hybrid energy system with cascade hydropower plants

机译:级联水电站电网连接风光 - 光伏 - 水力混合能系统短期接头运行的优化模型

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摘要

Integrating abundant wind and photovoltaic power into large-capacity hydropower plants is an important way for China to promote the consumption of renewable energy on a large scale. This paper establishes a novel coordination mode for a large-scale hybrid energy system including wind, photovoltaic and cascade hydropower plants. Scenario analysis based on Latin hypercube sampling and k-means is used to model the total forecast errors of power output for wind and photovoltaic plants. In order to deal with the imbalanced cost caused by the deviation between the actual power output and the submitted schedule and increase the expected profit, a windphotovoltaic-cascade hydropower plants coordinated operation model is established. Ecological flow demand for cascade hydropower plants operation is also considered to meet the comprehensive utilization demand of reservoirs. Through several linearization methods and successive approximation technique, the original model is transformed into a successive mixed integer linear programming model. The real-world case studies show that the coordinated operation of the hybrid system can smooth the power output fluctuation and improve the controllability of wind and PV power output. Moreover, compared with the uncoordinated operation, the total expected profit from the coordinated operation increases by 4.66%. Through sensitivity analysis, the influences of penalty factors, electricity price mechanism and ecological flow on the overall performance of the hybrid system are evaluated.
机译:将丰富的风和光伏电力整合到大容量水电站是中国促进大规模可再生能源消费的重要途径。本文建立了一种新型协调模式,适用于包括风,光伏和级联水电站的大型混合能量系统。基于拉丁超立体采样的场景分析和K-Means用于模拟风电和光伏植物的功率输出总预测误差。为了处理由实际功率输出和提交的时间表之间的偏差引起的不平衡成本并增加预期利润,建立了一个风光级级联水电站协调操作模型。级联水电站的生态流量需求也被认为是符合水库综合利用需求。通过几种线性化方法和连续近似技术,原始模型被转换为连续的混合整数线性编程模型。实际案例研究表明,混合动力系统的协调运行可以平滑功率输出波动,提高风电源输出的可控性。此外,与未协调的运作相比,协调业务的预期利润总额增加了4.66%。通过敏感性分析,评估了惩罚因素,电价机制和生态流动对混合系统整体性能的影响。

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