| 引用本文: | 侯 慧,王 晴,薛梦雅,等.计及源荷不确定性及需求响应的离网型微电网两阶段日前经济调度[J].电力系统保护与控制,2022,50(13):74-85.[点击复制] |
| HOU Hui,WANG Qing,XUE Mengya,et al.Two-stage economic day-ahead dispatch of an islanded microgrid consideringuncertainty and demand response[J].Power System Protection and Control,2022,50(13):74-85[点击复制] |
|
| 摘要: |
| 离网型微电网在远洋海岛、偏远地区等有举足轻重的作用，但源荷不确定性对其稳定运行具有一定负面影响。为减轻日内调度压力，提出了一种适用于离网型微电网的两阶段日前调度模型。利用混沌相空间重构、多目标粒子群、数据驱动及线性规划等方法，通过灵活资源调控降低源荷不确定性所带来的弃风和失负荷等负面影响，可在降低调度成本的基础上，兼顾系统高效性及可靠性。第一阶段以微电网综合运行成本最低，可再生能源就地利用率最高及系统失负荷率最小为目标，建立了计及需求响应的离网型微电网多目标经济调度模型。第二阶段针对第一阶段调度后产生的弃风与失负荷，采用极限学习机(Extreme Learning Machine, ELM)及XGBoost构建了蓄电池消纳弃风模型和调频电源调度模型。最后通过仿真算例的对比表明，需求响应对于系统高效性的增强是以增加调度成本和降低负荷可靠性为代价的，相比之下，所提两阶段日前调度方法可在降低调度成本的基础上，同时兼顾系统高效性及可靠性，为偏远地区和海岛等地区的离网型微电网运行提供参考。 |
| 关键词: 多目标经济调度 需求响应 源荷不确定性 Pareto Front XGBoost |
| DOI：DOI: 10.19783/j.cnki.pspc.211406 |
| 投稿时间：2021-10-19修订日期：2022-01-05 |
| 基金项目:国家自然科学基金项目资助(52177110)；深圳市科技计划项目资助(JCYJ20210324131409026) |
|
| Two-stage economic day-ahead dispatch of an islanded microgrid consideringuncertainty and demand response |
| HOU Hui,WANG Qing,XUE Mengya,WU Xixiu,XIE Changjun,ZHANG Qingyong |
| (1. School of Automation, Wuhan University of Technology, Wuhan 430070, China; 2. Shenzhen Research Institute,
Wuhan University of Technology, Shenzhen 518000, China; 3. Bengbu Power Supply Company,
State Grid Anhui Electric Power Co., Ltd., Bengbu 233000, China) |
| Abstract: |
| An islanded microgrid has a great effect on ocean islands and remote areas, but the uncertainty of source and load has a negative impact on the stable operation of an islanded microgrid. To reduce the pressure of intra-day dispatch, a two-stage day-ahead dispatch model of an islanded microgrid is constructed. By applying chaotic phase space reconstruction, multi-objective particle swarm, data-driven and linear programming methods, the negative effects of wind curtailment and loss load caused by uncertainties can be reduced through flexible resource regulation. This can reduce the operational cost while giving consideration to the efficiency and reliability of the system. The first stage takes the lowest integrated operation cost of microgrid, the highest utilization rate of renewable energy and the smallest load loss rate of system as objectives, and establishes a multi-objective microgrid economic dispatch model taking into account demand response resources. In the second stage, considering wind curtailment and load loss occurring after the first stage, the dispatch model of consuming wind curtailment and the frequency modulation power dispatch model are constructed by applying an extreme learning machine and XGBoost. Finally, through the comparison of simulation cases, the results show that the enhancement of demand response to system efficiency is at the cost of increasing dispatch cost and reducing load reliability. In contrast, the proposed two-stage dispatch method not only reduces dispatch cost, but also gives consideration to system efficiency and load reliability. This provides a reference for an islanded microgrid for rural areas, islands, etc.
This work is supported by the National Natural Science Foundation of China (No. 52177110). |
| Key words: multi-objective economic dispatch demand response uncertainty of source and load Pareto Front XGBoost |
