Short-Term Operation Scheduling in Renewable-Powered Microgrids: A Duality-Based Approach
Short-Term Operation Scheduling in Renewable-Powered Microgrids: A Duality-Based Approach
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DOI：
10.1109/tste.2013.2279837
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发表时间：
2014
影响因子：
8.8
通讯作者：
Binyan Zhao;Yi Shi;Xiaodai Dong;Wenpeng Luan;J. Bornemann
中科院分区：
文献类型：
--
作者：
Binyan Zhao;Yi Shi;Xiaodai Dong;Wenpeng Luan;J. Bornemann
研究了满足负荷、环境和系统运行要求的可再生能源微电网运行调度问题，确定了满足负荷、环境和系统运行要求的最低成本机组组合(UC)和相关调度。可再生能源的间歇性，以及微电网与传统电网并行或自主运行的能力，对这一经典的优化任务提出了新的挑战。引入了一个基于概率的概念--自给自足概率(PSS)来表示微电网能够以自给自足的方式满足当地需求的概率。此外，据我们所知，我们首次尝试从凸优化的角度来处理混合整数UC问题，从而得到了最优承诺和调度解的解析闭式刻画。仿真结果表明：1)与已有算法相比，该方法在不损失最优性的情况下取得了较好的性能；2)具有合适容量的储能系统有助于实现微电网的自给自足目标，并且随着微网运行趋于独立，储能系统的能量变化不大；3)该方法为确定储能系统的规模以实现期望的储能系统提供了指导。
This paper considers the operation scheduling problem in renewable-powered microgrids, which is used to determine the least-cost unit commitment (UC) and the associated dispatch, while meeting load, environmental, and system operating requirements. The intermittency nature of the renewable energy sources, as well as microgrid's capacity to operate either in parallel with, or autonomously of, the traditional power grid, pose new challenges to this classic optimization task. A probability-based concept, probability of self-sufficiency (PSS), is introduced to indicate the probability that the microgrid is capable of meeting local demand in a self-sufficient manner. Furthermore, to the best of our knowledge, we make the first attempt in approaching the mixed-integer UC problem from a convex optimization perspective, which leads to an analytical closed-form characterization of the optimal commitment and dispatch solutions. The simulation results show that 1) the proposed method achieves an efficient performance that incurs no loss of optimality with lower complexity than existing algorithms; 2) an energy storage system (ESS) with suitable capacity contributes to the self-sufficiency target of a microgrid, and the stored energy varies less remarkably as the microgrid tends to operate more independently; 3) the proposed method provides guidelines in deciding the ESS size to achieve a desired PSS.