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首页> 外文期刊>Energies >Risk-Limiting Scheduling of Optimal Non-Renewable Power Generation for Systems with Uncertain Power Generation and Load Demand
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Risk-Limiting Scheduling of Optimal Non-Renewable Power Generation for Systems with Uncertain Power Generation and Load Demand

机译：具有不确定发电量和负荷需求的系统的最佳不可再生发电量的风险限制调度

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摘要

This study tackles a risk-limiting scheduling problem of non-renewable power generation for large power systems, and addresses potential violations of the security constraints owing to the volatility of renewable power generation and the uncertainty of load demand. To cope with the computational challenge that arises from the probabilistic constraints in the considered problem, a computationally efficient solution algorithm that involves a bisection method, an off-line constructed artificial neural network (ANN) and an on-line point estimation method is proposed and tested on the IEEE 118-bus system. The results of tests and comparisons reveal that the proposed solution algorithm is applicable to large power systems in real time, and the solution obtained herein is much better than the conventional optimal power flow (OPF) solution in obtaining a much higher probability of satisfying the security constraints.
机译：这项研究解决了大型电力系统不可再生发电的风险限制调度问题，并解决了由于可再生发电的波动性和负荷需求的不确定性而可能违反安全约束的情况。为了解决所考虑问题中的概率约束所带来的计算挑战，提出了一种包括对分法，离线构造的人工神经网络（ANN）和在线点估计方法的计算有效的求解算法，并且在IEEE 118总线系统上进行了测试。测试和比较结果表明，所提出的解决方案算法实时适用于大型电力系统，在获得更高的满足安全性的可能性方面，本文获得的解决方案比传统的最优潮流算法更好。约束。

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