基于场景预测的风电场经济调度模型

刘永前; 马远驰; LIU Yongqian; MA Yuanchi

doi:10.16513/j.cnki.10-1427/tk.2016.01.004

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分布式能源 ›› 2016, Vol. 1 ›› Issue (1) : 14-21. DOI: 10.16513/j.cnki.10-1427/tk.2016.01.004

学术研究

基于场景预测的风电场经济调度模型

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Economic Dispatch Model in Wind Farm Based on Wind Power Scenario Prediction

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摘要

The volatility of wind power and the uncertainties in the wind power forecasting pose serious challenges to unit start-up and shutdown and the load distribution in the wind farm. The practice of utilizing scenario prediction to describe the uncertainties in the wind power forecasting can enhance the robustness of the scheduling decision. The economic dispatch method for wind farm based on scenario prediction, with the goal of the minimum operating cost, can optimize the unit start-up and shutdown and the load distribution planning. We adopt the improved genetic algorithm to compute the optimized dispatch models. On this basis, we have analyzed the influence of the major costs on the total costs in the operation of wind farm and proposed strategies of improving the grid's adopt capacity for wind power and lowering the operating costs in wind farm. The example simulation result is consistent with the actual operational situation in wind farm and shows that the economic dispatch method is valid in wind farm.

关键词

风电场 / 场景预测 / 经济调度 / 遗传算法 / 灵敏度分析 / wind farm / scenario prediction / economic dispatch / genetic algorithm / sensitivity analysis

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刘永前, 马远驰, LIU

Yongqian

, 等. Economic Dispatch Model in Wind Farm Based on Wind Power Scenario Prediction[J]. 分布式能源. 2016, 1(1): 14-21 https://doi.org/10.16513/j.cnki.10-1427/tk.2016.01.004

[J]. Distributed Energy Resources. 2016, 1(1): 14-21 https://doi.org/10.16513/j.cnki.10-1427/tk.2016.01.004

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