湖南电力 ›› 2023, Vol. 43 ›› Issue (5): 23-30.doi: 10.3969/j.issn.1008- 0198.2023.05.004

• “电力电子化新型电力系统主动支撑控制与优化运行关键技术”专栏 • 上一篇    下一篇

基于模型预测控制的多时间尺度孤立电网多源协同优化调度

杜善周1,2, 黄涌波1,2, 菅云峰1, 徐靓1,2, 宋啸宇3, 袁亮3   

  1. 1.神华准格尔能源有限责任公司,内蒙古 鄂尔多斯 010300;
    2.中国神华能源股份有限公司哈尔乌素露天煤矿,内蒙古 鄂尔多斯 017100;
    3.中南大学自动化学院,湖南 长沙 410083
  • 收稿日期:2023-07-20 修回日期:2023-08-14 出版日期:2023-10-25 发布日期:2023-11-03
  • 通信作者: 杜善周(1968),男,博士,高级工程师,通信作者,主要从事能源绿色低碳技术研究。
  • 作者简介:袁亮(1994),男,博士,讲师,主要从事新能源并网、负荷预测、新能源预测、电力系统规划等方向研究。
  • 基金资助:
    国家自然科学基金-杰出青年基金项目(62125308);国家能源投资集团有限公司科技项目(GNJY-21-160);长沙市自然科学基金项目(kq2208279)

Multi-Sources Coordinated Dispatch for Multi-Time Scale Isolated Grid Based on Model Predictive Control

DU Shanzhou1,2, HUANG Yongbo1,2, JIAN Yunfeng1, XU Jing1,2, SONG Xiaoyu3, YUAN Liang3   

  1. 1. Shenhua Zhungeer Energy Co., Ltd., Ordos 010300,China;
    2. China Shenhua Energy Co., Ltd.,Haerwusu Open-Pit Coal Mine, Ordos 017100,China;
    3. School of Automation, Central South University, Changsha 410083,China
  • Received:2023-07-20 Revised:2023-08-14 Online:2023-10-25 Published:2023-11-03

摘要: 在大力发展可再生能源和储能技术的背景下,孤立电网中常含多种能源发电方式构成的异构电源,其中可再生能源出力的随机性和波动性给系统的安全经济运行带来了巨大挑战。针对孤立电网中的源侧协同控制问题,提出了基于模型预测控制的多时间尺度孤立电网多源协同优化调度策略。构建日前-日内-实时的多时间尺度协同优化调度模型,实现对孤网源侧具有前瞻性的、逐级精细的调控。针对含连续变量和二进制变量的优化模型,采用混合粒子群算法求解。将所提出的模型分别应用到两个孤网系统算例中,通过仿真分析,证明了所提方法保证系统安全经济运行的可行性和有效性。

关键词: 孤立电网, 异构电源, 多源协同控制, 多时间尺度, 模型预测控制

Abstract: With the development of renewable energy and energy storage technology, there are heterogeneous power sources of multiple energy in the isolated power grid. The randomness and fluctuation of renewable energy bring great challenges to the safe and economic operation of the system. Aiming at the coordinated control of the sources in the isolated power grid, a multi-time scale collaborative optimization strategy of multi-source for isolated power grids based on model predictive control is proposed. A multi-time scale dispatch model of day-ahead, intra-day, real time is constructed to achieve forward-looking and step-by-step regulation of the sources in the isolated grid. A hybrid particle swarm optimization algorithm is used to solve the problem containing continuous variables and binary variables. The proposed model is applied to two isolated systems, through which the feasibility and effectiveness of the proposed method on ensuring the safe and economic operation of the system are proved.

Key words: isolated grid, heterogeneous power sources, cordinated control of multi-sources, multi-time scale, model predictive control

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