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首页> 外文期刊>Industrial Informatics, IEEE Transactions on >A New Biobjective Probabilistic Risk-Based Wind-Thermal Unit Commitment Using Heuristic Techniques
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A New Biobjective Probabilistic Risk-Based Wind-Thermal Unit Commitment Using Heuristic Techniques

机译：基于启发式技术的新的基于风险的双目标概率风热机组承诺

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摘要

Large penetration of wind generating units in power systems necessitates a flexible unit commitment tool to handle the intermittent nature of these units as well as demand. Moreover, power system operators face not only the risks of wind power curtailments, but also probable unit outages. Therefore, assessing a tradeoff between operational costs and such risks is very important. In the proposed approach, the probability of the residual demand falling within the up-and-down spinning reserve imposed by n – 1 security criterion is converted into a risk index. A new biobjective probabilistic risk/cost-based unit commitment model is proposed to simultaneously minimize both the operational costs and risk. The novel formulation presented provides a new power redispatch process to satisfy up-and-down ramp rate constraints. A new operational-cycles-based unit commitment algorithm is developed. The approach profits from a new nondominated sorting backtracking search optimization algorithm for extracting the Pareto-optimal set. The proposed approach is shown to provide superior results when applied to two test systems: 1) 10-unit and 2) IEEE 118-bus, 54-unit system.
机译：风力发电机组在电力系统中的大渗透需要一种灵活的机组承诺工具来处理这些机组的间歇性和需求。此外，电力系统运营商不仅面临削减风力发电的风险，而且还可能面临机组中断的风险。因此，评估运营成本与此类风险之间的折衷非常重要。在建议的方法中，将剩余需求落入n-1个安全标准强加的上下旋转储备之内的概率转换为风险指数。提出了一种新的基于风险/成本的双目标概率单位承诺模型，以同时最小化运营成本和风险。提出的新颖公式提供了一种新的功率重新分配过程，可以满足上下斜坡速率约束。开发了一种基于操作周期的新单位承诺算法。该方法受益于一种新的非支配排序回溯搜索优化算法，用于提取帕累托最优集。当应用于两个测试系统时，建议的方法显示出优异的结果：1）10个单元和2）IEEE 118总线，54个单元的系统。

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