基于最优潮流理论的风电、梯级水电短期联合优化调度

发布时间：2018-04-22 08:17

本文选题：多电源联合短期调度策略 + 最优潮流理论　；参考：《水利学报》2014年03期

【摘要】：为了协调多电源短期联合调度方案经济性与可靠性之间的关系,需要建立高效、实用的模型,并采用新型优化算法对调度模型进行求解。本文基于最优潮流理论建立多电源短期联合优化调度模型,在目标函数中考虑电力系统的经济性与可靠性指标,在约束条件中考虑电源约束条件和电网约束条件。在计算发电系统可靠性时,采用基于运行状态的瞬时可靠性评估法,有效避免了传统可靠性评估方法在评估风电等波动性较大电源方面的不足。最后以IEEE-30节点系统为例验证本文提出的优化调度模型和算法,结果表明,本文的联合调度策略可提高系统的可靠性指标,降低风电场的弃风量,增加梯级水电与风电的上网电量,保证火电输出功率的平稳性。
[Abstract]:In order to coordinate the relationship between the economy and reliability of the multi-power short-term joint scheduling scheme, an efficient and practical model is needed, and a new optimization algorithm is used to solve the scheduling model. Based on the optimal power flow theory, this paper establishes a multi-power short-term joint optimal dispatching model. The economic and reliability indexes of the power system are considered in the objective function, and the power constraints and the power network constraints are considered in the constraint conditions. In the calculation of power generation system reliability, the transient reliability evaluation method based on the operation state is adopted, which effectively avoids the shortcomings of the traditional reliability evaluation method in evaluating the fluctuating power supply such as wind power. Finally, the IEEE-30 node system is taken as an example to verify the proposed optimal scheduling model and algorithm. The results show that the proposed joint scheduling strategy can improve the reliability index of the system and reduce the output of wind farm. Increase the power of cascade hydropower and wind power to ensure the stability of thermal power output.
【作者单位】：西安理工大学水利水电学院;甘肃省电力设计院;
【分类号】：TM73

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