数学优化
能量载体
分布式发电
能量(信号处理)
能源规划
计算机科学
能量流
综合业务规划
业务规划
线性规划
电力系统
整数规划
趋同(经济学)
发电
工程类
功率(物理)
电
可再生能源
数学
电气工程
经济
量子力学
物理
经济增长
管理
统计
作者
Wentao Yang,Weijia Liu,C. Y. Chung,Fushuan Wen
标识
DOI:10.1109/tste.2019.2941418
摘要
With the ever-growing integration of diverse distributed energy resources, modern district energy sectors are transitioning into integrated energy systems (IESs), which generally consist of various energy carriers such as electric power, natural gas, and heat. Instead of modeling individual energy carriers, the emergence of IESs requires comprehensive consideration of all involved energy systems in both planning and operation phases. This paper proposes a comprehensive planning strategy for a district energy sector to address the challenges of IES planning considering the coupling of power, gas, and heat systems. The proposed planning model contains an operational module that develops a steady-state optimal multi-energy flow (OMEF) for the IES considered and a multi-stage expansion module that optimizes the investment decisions. To efficiently solve the proposed planning model, which is formulated as a mixed-integer nonlinear programming problem, an improved generalized Benders decomposition algorithm that utilizes dynamic dual multipliers to improve the convergence speed is employed. The effectiveness of the proposed planning model and the feasibility of the improved Benders decomposition algorithm are verified in case studies.
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