Unit Commitment Solution by Branch and Bound Algorithm

Bishaljit Paul, S. Goswami, D. Mistry, C. K. Chanda
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引用次数: 2

Abstract

For a short period, to obtain a secured economic dispatch of power generation, Security Constrained Unit Commitment (SCUC) is programmed to commit the units by minimizing the operating costs while maintaining the balance between supply and demand in a deregulating environment. This paper discusses a vivid planning horizon of three and six periods distributed in a day taking into account the fixed cost, variable cost, start-up and shut-down cost, ramping up and down limits, minimum and maximum power bounds, spinning reserve constraints of the units and line load abilities which are all modelled to commit the generators in binary digits only. The proposed approach applies the Branch and Bound algorithm to test the system. The iterative process will converge, if the optimal solution exists. In this paper three and six bus systems are analyzed to prove the effectiveness of this model which can be extended for larger systems too.
分支定界算法的单元承诺解
在短期内,为了获得安全的发电经济调度,安全约束机组承诺(SCUC)被编程为在放松管制的环境中通过最小化运行成本同时保持供需平衡来承诺机组。考虑到机组的固定成本、变动成本、启动和关闭成本、爬坡和下降限制、最小和最大功率限制、旋转备用约束和线路负荷能力,讨论了一天内分配的三期和六期的生动规划视界,这些都是仅以二进制数提交发电机的模型。该方法采用分支定界算法对系统进行测试。如果存在最优解,迭代过程将收敛。本文通过对三总线和六总线系统的分析,证明了该模型的有效性,该模型也可以推广到更大的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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