Short-Term Scheduling Strategy for Wind-Based Energy Hub: A Hybrid Stochastic/IGDT Approach

风力发电 计算机科学 数学优化 调度(生产过程) 需求响应 随机规划 能源管理 电力系统 能量(信号处理) 控制工程 工程类 功率(物理) 电气工程 数学 统计 物理 量子力学
作者
Amirhossein Dolatabadi,Mohammad Jadidbonab,Behnam Mohammadi-Ivatloo
出处
期刊:IEEE Transactions on Sustainable Energy [Institute of Electrical and Electronics Engineers]
卷期号:10 (1): 438-448 被引量:144
标识
DOI:10.1109/tste.2017.2788086
摘要

This paper evaluates the scheduling problem for energy hub system consisting of wind turbine, combined heat and power units, auxiliary boilers, and energy storage devices via hybrid stochastic/information gap decision theory (IGDT) approach. Considering that energy hub plays an undeniable role as the coupling among various energy infrastructures, still it is essential to be investigated in both modeling and scheduling aspects. On the other hand, penetration of wind power generation is significantly increased in energy infrastructures in recent years. In response, this paper aims to focus on the hybrid stochastic/IGDT optimization method for the optimal scheduling of wind integrated energy hub considering the uncertainties of wind power generation, energy prices and energy demands explicitly in a way that not only global optimal solution can be reached, but also volume of computations can be lighten. In addition, by the proposed hybrid model, the energy hub operator can pursue two different strategies to face with price uncertainty, i.e., risk-seeker strategy and risk-averse strategy. This method optimizes energy hub scheduling problem in uncertain environment by mixed-integer nonlinear programming. This formulation is proposed to minimize the expected operation cost of energy hub where different energy demands of energy hub would be efficiently met. The forecast errors of uncertainties related to wind power generation and energy demands are modeled as a scenario, while an IGDT optimization approach is proposed to model electricity price uncertainty.
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