Energy storage based optimal dispatch scheme for financial improvement and fluctuation mitigation on wind power generation
Energy storage based optimal dispatch scheme for financial improvement and fluctuation mitigation on wind power generation
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DOI：
10.1109/ias.2017.8101728
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发表时间：
2017-10
期刊：
影响因子：
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通讯作者：
Zhenyuan Zhang;Yun Zhang;Weijen Lee
中科院分区：
文献类型：
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作者：
Zhenyuan Zhang;Yun Zhang;Weijen Lee
风能作为一种典型的可再生能源，在世界范围内得到了广泛的应用。传统的储能系统所涉及的风电调度方案仅仅着眼于抑制风电的波动。然而，随着风电参与到解除管制的电力市场中，如何提高风电场的财政收入成为另一项重要任务，这与缓解波动一样至关重要。为了寻求财务改善和波动缓解的平衡点，本文提出了一种基于两阶段ESS的风电优化调度方案。实施初级阶段ESS，通过日前运行提高风电场的经济效益；第二阶段ESS在实时市场运行，平衡预测误差，平稳风电输出。此外，在风电预测过程中引入风险分析“风险值”，以确定可靠的风电容量。最后给出了一个案例分析。仿真结果表明，所提出的调度方案不仅有效提高了风电场的经济效益，而且具有较强的消除风电功率波动的能力。
Wind as the one of typical renewable energy are widely used in the world. Traditional energy storage system (ESS) involved wind power dispatch plan is merely focus on the wind power fluctuation suppression. However, with wind generation participate in the deregulated electricity power market, the way to improve the wind farm financial income is became another major task, which is as crucial as the fluctuation mitigation. To find the equilibrium of financial improvement and fluctuation mitigation, this paper proposed a two-stages of ESS based optimal wind power dispatch scheme. The primary stage ESS is implemented to improve the financial benefits on wind farm through day-ahead operation; the second stage ESS operates in real-time market to balances the forecast errors and smooth the wind power output. Additionally, the risk analysis, “Value at Risk”, is introduced in wind power forecasting process to determine the reliable wind capacity. A case study has been provided in the end of the paper. With the simulation results, the proposed dispatch scheme is not only effective to improve the financial benefits of the wind farm, but also with the strong ability to eliminate the wind power fluctuations.