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首页> 外文期刊>Smart Grid, IEEE Transactions on >Toward Optimal Day-Ahead Scheduling and Operation Control of Microgrids Under Uncertainty
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Toward Optimal Day-Ahead Scheduling and Operation Control of Microgrids Under Uncertainty

机译：不确定条件下微电网的日前最优调度与运行控制

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摘要

In this paper, we present optimal day-ahead scheduling and control models for microgrids under uncertainty. The traditional deterministic mixed integer programming used in wholesale market fails to produce adequate results, especially when variations and risks are high. We develop stochastic programming optimization models with risk neutral and risk-averse options. We also characterize microgrids with their mean design capacity configuration and operational volatility. A dissimilarity measure determines the relative volatility between two microgrids. We demonstrate that risk-based decision-making in microgrids can significantly change the day-ahead scheduling and control outcomes, and capacity configuration and volatility measures are determining factors for microgrid risks and savings.
机译：在本文中，我们提出了不确定条件下微电网的最优提前调度和控制模型。批发市场中使用的传统确定性混合整数编程无法产生足够的结果，尤其是当变化和风险很高时。我们开发具有风险中性和规避风险选项的随机规划优化模型。我们还通过微电网的平均设计容量配置和操作波动来表征微电网。差异度量确定了两个微电网之间的相对波动性。我们证明，微电网中基于风险的决策可以显着改变日程安排和控制结果，而容量配置和波动性指标是微电网风险和节省的决定因素。

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