中国电力 ›› 2023, Vol. 56 ›› Issue (4): 156-166.DOI: 10.11930/j.issn.1004-9649.202205043

• 综合能源技术 • 上一篇    下一篇

面向投资收益的综合能源系统鲁棒优化配置规划

梁涛, 尹晓东, 刘亚祥   

  1. 山东电力工程咨询院有限公司, 山东 济南 250013
  • 收稿日期:2022-05-17 修回日期:2022-12-29 发布日期:2023-04-26
  • 作者简介:梁涛(1983-),男,通信作者,博士,高级工程师,从事能源互联网、综合能源系统规划设计与运行优化技术研究,E-mail:liangtao@sdepci.com;尹晓东(1980-),男,高级工程师,从事综合能源系统建模与优化设计技术研究,E-mail:yinxiaodong@sdepci.com;刘亚祥(1985-),男,硕士,从事综合能源系统建模与规划技术研究,E-mail:liuyaxiang@sdepci.com
  • 基金资助:
    国家自然科学基金资助项目(含氢多能源供需系统的协同运行优化理论与方法,62192753)。

Robust Optimal Configuration Planning of Integrated Energy System for Return on Investment

LIANG Tao, YIN Xiaodong, LIU Yaxiang   

  1. Shandong Electric Power Engineering Consulting Institute Co., Ltd., Jinan 250013, China
  • Received:2022-05-17 Revised:2022-12-29 Published:2023-04-26
  • Supported by:
    This work is supported by National Natural Science Foundation of China (Theory and Method of Cooperative Operation Optimization for Hydrogen-based Multi-energy Supply and Demand System, No.62192753).

摘要: 合理优化综合能源系统容量配置是提高其投资收益和实现能源高效利用的基础。针对综合能源系统规划中风光出力及用能负荷不确定性对成本与收入的双重影响,提出了一种面向投资收益的鲁棒优化配置方法。首先,考虑投资容量、设备运行、能量平衡与内外部网络交互等约束,建立了以项目内部收益率最大为优化目标的综合能源系统优化配置模型;然后,引入信息间隙决策理论处理供需两侧的不确定性,构建了面向投资收益的鲁棒优化模型,通过等价转换和对偶变换降低了模型求解的复杂性,并提出了分步求解策略,以获得在满足预期收益前提下的不确定参数最大波动范围及鲁棒最优配置方案;最后,采用某实际综合能源系统进行算例分析。结果表明:与传统配置方法相比,所提方法在提高系统投资收益和兼顾方案鲁棒性方面具有更高的有效性和实用性。

关键词: 综合能源系统, 投资收益, 不确定性, 鲁棒优化, 系统配置

Abstract: Reasonable optimization of integrated energy system (IES) capacity configuration is the basis for improving returns on investment and realizing efficient energy utilization. Aiming at the uncertainty influences of wind and photovoltaic power output and energy-using load on both cost and revenue, a robust optimal configuration method for return on investment is presented. Firstly, an IES optimal configuration model is built to maximize the internal rate of return, with consideration of the constraints of investment capacity, equipment operation, energy balance and internal and external network interaction. Then, by introducing the information gap decision theory (IGDT) to deal with the uncertainties of both source and load in IES, a robust optimization model for return on investment is constructed, and the complexity of the model is reduced through equivalent transformation and dual transform. A decomposition solution strategy is proposed to obtain the maximum fluctuation range of uncertain parameters and the corresponding optimal configuration scheme in the premise of meeting the expected return on investment. Finally, an actual IES is taken for case study, and the results show that the proposed method is more effective and practical than the traditional configuration methods in increasing the return on investment and improving the robustness of optimal configuration.

Key words: integrated energy system, return on investment, uncertainty, robust optimization, system configuration