基于风电极限场景的微电网-天然气网多层优化调度
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TM731

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南方电网公司科技项目资助036000KK52190005(GDKJXM20198110)


Multi-Level Scheduling Optimization of Integrated Electricity-Gas Systems Based on Wind Power Extreme Scenario
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    摘要:

    为应对风电不确定性对微电网-天然气网优化调度的影响,本文引入了风电极限场景以刻画区间内的任意风电波动,构建了基于风电极限场景的微电网-天然气网耦合系统调度优化模型以保证系统的安全性。此外,本文进一步提出了五层优化调度模型,从中长期、日前和实时三个时间尺度应对风电不确定性以提高系统消纳风电的能力。为了求解所提多层优化调度模型,本文首先引入拉格朗日因子,提出了KKT(Karush –Kuhn -Tucker)条件的多层转化算法,将多层模型转化为单层优化数学模型以有效求解。最后以某经典微电网-天然气网耦合系统为例,将本文方法与确定性调度模型、经典随机优化调度模型对比,验证了所提方法的有效性和优越性。

    Abstract:

    In order to deal with the impact of wind power uncertainty on the optimal scheduling of the integrated microgrid-natural gas network systems, the wind power extreme scenario is introduced to describe the arbitrary wind power fluctuation within the wind power intervals. Besides, the scheduling optimization model of the integrated microgrid -natural gas systems is constructed based on wind power extreme scenario to ensure the security of systems. In addition, this paper further proposes a five level optimal scheduling model to cope with the uncertainty of wind power from three time scales including the medium and long term time scale, day ahead time scale and real-time time scale, which can greatly improve the ability of absorbing wind power. In order to solve the proposed multi-layer optimal scheduling model, the Lagrange factor is introduced, and a multi-layer transformation algorithm based on KKT (karush – Kuhn Tucker) condition is proposed. Thus, the multi-layer model can be transformed into a single-layer optimization mathematical model, which can be effectively solved. Finally, the paper takes a typical integrated microgrid-natural gas system as an example to verify the effectiveness and superiority of the proposed method by comparing the proposed method with the deterministic scheduling model and the typical stochastic optimization scheduling model.

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王勇超,闫斌杰,吴龙腾,等. 基于风电极限场景的微电网-天然气网多层优化调度[J]. 科学技术与工程, 2021, 21(35): 15084-15092.
Wang Yongchao, Yan Binjie, Wu Longteng, et al. Multi-Level Scheduling Optimization of Integrated Electricity-Gas Systems Based on Wind Power Extreme Scenario[J]. Science Technology and Engineering,2021,21(35):15084-15092.

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  • 收稿日期:2021-03-27
  • 最后修改日期:2021-10-10
  • 录用日期:2021-08-30
  • 在线发布日期: 2021-12-20
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