基于多区域全分布算法的主动配电网动态经济调度方法

杨占杰; 谢虎; 张伟; 何超林; 谢型浪; 宋学清

杨占杰,谢虎,张伟,何超林,谢型浪,宋学清.基于多区域全分布算法的主动配电网动态经济调度方法[J].电测与仪表,2024,61(8):143-149.
YANG Zhanjie,XIE Hu,ZHANG Wei,HE Chaolin,XIE Xinglang,SONG Xueqing.Dynamic economic dispatching method of active distribution network based on multi-region full distribution algorithm[J].Electrical Measurement & Instrumentation,2024,61(8):143-149.

基于多区域全分布算法的主动配电网动态经济调度方法

Dynamic economic dispatching method of active distribution network based on multi-region full distribution algorithm

DOI：10.19753/j.issn1001-1390.2024.08.019

中文关键词: 多区域全分布算法目标函数燃料成本动态经济调度分布式电源主动配电网

英文关键词:multi-region full distribution algorithm, objective function, fuel cost, dynamic economic dispatching, distributed generation, active distribution network

基金项目:南网科技项目 (670000KK52200095)

作者中文名	作者英文名	单位
杨占杰	YANG Zhanjie	南方电网数字电网研究院有限公司，广州 510670
谢虎	XIE Hu	南方电网数字电网研究院有限公司，广州 510670
张伟	ZHANG Wei	南方电网数字电网研究院有限公司，广州 510670
何超林	HE Chaolin	南方电网数字电网研究院有限公司，广州 510670
谢型浪	XIE Xinglang	南方电网数字电网研究院有限公司，广州 510670
宋学清	SONG Xueqing	南方电网深圳数字电网研究院有限公司，广州 510670

摘要点击次数: 427

中文摘要:

由于传统方法在进行主动配电网动态经济调度过程中，没有对目标函数内状态变量存在的越界情况进行处理，主动配电网电压超越上限，从而导致调度效果不佳，因此，提出基于多区域全分布算法的主动配电网动态经济调度方法。利用多区域全分布算法实施机会约束规划，根据规划结果，建立对应的多目标模型，通过罚函数形式对目标函数内状态变量存在的越界情况进行处理，避免主动配电网电压超越上限，使电压在上限之内。根据柴油机发电爬坡方面、线路传输方面、主网与区域配电网最大交互传输功率方面和储能单元方面，通过蒙特卡罗模拟方法对经济调度时的约束条件进行选取，改进传统粒子群算法，并利用改进结果对模型进行求解，从而实现动态性经济调度的目的。仿真实验结果表明，该方法的调度结果是有效、动态的，并且调度精度较高，调度时间较短，适用于主动配电网的光伏与风电等的调度，继续精进后有良好的应用前景。

英文摘要:

In the process of dynamic economic dispatching of active distribution network, the traditional method does not deal with the out of bounds of state variables in the objective function, and the voltage of active distribution network exceeds the upper limit, resulting in poor dispatching effect. Therefore, a dynamic economic dispatching method of active distribution network based on multi-region full distribution algorithm is proposed. The multi-region full distribution algorithm is used to implement opportunity constrained programming. According to the planning results, the corresponding multi-objective model is established, and the out of bounds of state variables in the objective function are processed in the form of penalty function, so as to avoid the voltage of active distribution network exceeding the upper limit and keep the voltage within the upper limit. According to the aspects of diesel engine generation climbing, line transmission, maximum interactive transmission power between main network and regional distribution network and energy storage unit, the constraints in economic dispatching are selected by Monte Carlo simulation method, the traditional particle swarm optimization algorithm is improved, and the improved results are used to solve the model, so as to achieve the purpose of dynamic economic dispatching. The simulation results show that the scheduling results of this method are effective and dynamic, with high scheduling accuracy and short scheduling time. It is suitable for the scheduling of photovoltaic and wind power in active distribution network, and has a good application prospect after continuous improvement.

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