Corrective economic dispatch and operational cycles for probabilistic unit commitment with demand response and high wind power
Corrective economic dispatch and operational cycles for probabilistic unit commitment with demand response and high wind power
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DOI：
10.1016/j.apenergy.2016.07.117
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发表时间：
2016-11
期刊：
影响因子：
11.2
通讯作者：
R. Azizipanah‐Abarghooee;F. Golestaneh;H. Gooi;Jeremy Lin;F. Bavafa;V. Terzija
中科院分区：
文献类型：
--
作者：
R. Azizipanah‐Abarghooee;F. Golestaneh;H. Gooi;Jeremy Lin;F. Bavafa;V. Terzija
提出了一种基于激励的需求响应和高水平风电的概率机组组合问题。我们的新配方提供了一个最佳的分配向上/向下旋转储备。提出了一种基于运行周期的机组组合算法。采用了一个基于自价格弹性和交叉价格弹性以及顾客收益函数的多期弹性剩余需求经济模型。在该方案中，剩余需求落在由n-1安全标准施加的上升/下降旋转储备内的概率被认为是一个随机约束。一个机会约束的方法，与一个新的迭代经济调度校正，风功率削减，并承诺更便宜的单位，适用于保证的损失负荷的概率低于预定义的风险水平。所开发的架构建立在一个改进的Jaya算法，以产生可行的，强大的和最优的解决方案，对应的运营成本。建议的框架被应用到一个小的测试系统，10个单位，也到IEEE 118节点系统，以说明其优势，在电力系统中的发电高效调度。
We propose a probabilistic unit commitment problem with incentive-based demand response and high level of wind power. Our novel formulation provides an optimal allocation of up/down spinning reserve. A more efficient unit commitment algorithm based on operational cycles is developed. A multi-period elastic residual demand economic model based on the self- and cross-price elasticities and customers’ benefit function is used. In the proposed scheme, the probability of residual demand falling within the up/down spinning reserve imposed byn− 1 security criterion is considered as a stochastic constraint. A chance-constrained method, with a new iterative economic dispatch correction, wind power curtailment, and commitment of cheaper units, is applied to guarantee that the probability of loss of load is lower than a pre-defined risk level. The developed architecture builds upon an improved Jaya algorithm to generate feasible, robust and optimal solutions corresponding to the operational cost. The proposed framework is applied to a small test system with 10 units and also to the IEEE 118-bus system to illustrate its advantages in efficient scheduling of generation in the power systems.