中国电力 ›› 2020, Vol. 53 ›› Issue (12): 101-109.DOI: 10.11930/j.issn.1004-9649.202003206

• 城镇地区分布式多能互补能源系统关键技术专栏 • 上一篇    下一篇

计及源荷双侧不确定性的全可再生能源系统日前经济调度

余帆, 牛洪海, 李兵, 赵阳, 陈霈, 管晓晨, 杨玉   

  1. 南京南瑞继保电气有限公司,江苏 南京 211102
  • 收稿日期:2020-03-29 修回日期:2020-07-16 发布日期:2020-12-16
  • 作者简介:余帆(1991—),男,硕士,工程师,从事智慧能源系统运行优化研究,yuf@nrec.com
  • 基金资助:
    国家重点研发计划资助项目(特色小镇全可再生能源多能互补热电气储耦合供能系统关键技术及示范,2018YFB1502904)

Economic Dispatch of Fully Renewable Energy System Considering Uncertainty of both Energy Source and Load

YU Fan, NIU Honghai, LI Bing, ZHAO Yang, CHEN Pei, GUAN Xiaochen, YANG Yu   

  1. Nanjing NARI-Relays Electric Co., Ltd., Nanjing 211102, China
  • Received:2020-03-29 Revised:2020-07-16 Published:2020-12-16
  • Supported by:
    This work is supported by National Key R & D Program of China (Key Technology and Demonstration of Multi-Energy Complementary Thermal-Electric-Gas-Storage Coupled Energy Supply System of Characteristic Town, No.2018YFB1502904)

摘要: 建立一种以太阳能、风能、生物质能为一次能源,并满足电、热、冷负荷需求的全可再生能源系统模型。充分考虑全可再生能源系统源荷双侧不确定性,建立基于两阶段鲁棒优化的日前经济调度模型,并采用列约束生成(C&CG)算法求解。仿真算例分析表明:通过发挥可再生能源系统多能互补的特性,可以实现可再生能源完全消纳,同时,通过调整不确定性调节参数,可以有效改善鲁棒优化的保守性,从而在保障安全稳定运行的前提下,最大程度提升能源系统运行经济性。

关键词: 可再生能源, 多能互补, 鲁棒优化, 经济调度, 不确定性

Abstract: This paper established a fully renewable energy system which takes solar energy, wind energy and biomass energy as primary energy and meets the demand of electricity, heat and cooling loads. Considering the uncertainty of both energy source and load, a day-ahead economic dispatch model based on two-stage robust optimization was built and solved by column constraint generation (C & CG) algorithm. The simulation results show that renewable energy can be fully consumed by giving full play to its multi energy complementary characteristics. At the same time, the conservatism of robust optimization can be effectively improved by adjusting the uncertainty adjustment parameters, so as to improve the operation economy of the energy system and ensure safe and stable operation.

Key words: renewable energy, multi energy, robust optimization, economic dispatch, uncertainty