非线性系统
数学优化
有界函数
约束(计算机辅助设计)
整数(计算机科学)
计算机科学
正多边形
电力系统
转化(遗传学)
功率(物理)
数学
数学分析
生物化学
物理
几何学
化学
量子力学
基因
程序设计语言
作者
Yunpeng Jiang,Zhouyang Ren,Wenyuan Li
出处
期刊:IEEE Transactions on Sustainable Energy
[Institute of Electrical and Electronics Engineers]
日期:2023-11-08
卷期号:15 (2): 1194-1209
被引量:32
标识
DOI:10.1109/tste.2023.3330857
摘要
A novel concept called the committed carbon emission operation region (CCEOR) of integrated energy systems (IESs) is proposed in this paper, which provides a powerful tool for low-carbon operation analyses (LCOA) of IESs. The CCEOR of IESs is first defined, and a CCEOR model is then proposed by considering the uncertainty of renewable power outputs and the characteristics of low-carbon sequential operation. Based on the nonlinear constraint transformation method and distributionally robust chance-constrained (DRCC) approach, a reformulation method is developed to convert the proposed uncertain nonlinear CCEOR model into a deterministic mixed-integer convex CCEOR model. The characteristics of the CCEOR are investigated. Based on the transformed CCEOR model, the CCEOR is a high-dimensional and bounded region composed of finite convex sub-regions. A region approximation method is then presented to construct the CCEOR. The effectiveness and applicability of the proposed CCEOR model and method are validated by numerical simulation on three test systems. Simulation results indicate that the proposed CCEOR can characterize the low-carbon feasible space (LCFS) visually, the visual coupling relationships between observation variables and LCFS, and the comprehensive low-carbon operation information of operation points.
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