Operation and Design Optimization of Microgrids With Renewables
Operation and Design Optimization of Microgrids With Renewables
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DOI：
10.1109/tase.2016.2645761
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发表时间：
2017-02
影响因子：
5.6
通讯作者：
B. Yan;P. Luh;Guy Warner;P. Zhang
中科院分区：
文献类型：
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作者：
B. Yan;P. Luh;Guy Warner;P. Zhang
为了降低微电网的能源成本和排放，日常运营至关重要。问题是提交和调度分布式设备与可再生能源发电，以最大限度地减少总能源和排放成本，同时满足预测的能源需求。由于可再生能源的间歇性，这个问题具有挑战性。在本文中，光伏（PV）的不确定性建模的马尔可夫过程。为了有效的协调，其他设备被建模为马尔可夫过程，状态取决于PV状态。整个问题都是马尔可夫的。这个组合问题使用分支和切割来解决。除了能源和排放成本，从长远来看，考虑资本和维护成本，微电网设计也至关重要。问题是在满足能源需求的前提下，确定给定类型的设备尺寸，以使寿命成本最小化。它的复杂性随着问题的规模呈指数级增长。为了评估包括可靠性成本和经典组成部分（如资本和燃料成本）的寿命成本，建立了一个线性模型。通过选择有限数量的器件尺寸的可能组合，穷举搜索用于找到优化设计。结果表明，该运行方法是有效的，在节省成本和可扩展性，微电网具有较低的寿命周期成本比传统的能源系统。监管机构和配电公用事业的影响进行了讨论。
To reduce energy costs and emissions of microgrids, daily operation is critical. The problem is to commit and dispatch distributed devices with renewable generation to minimize the total energy and emission cost while meeting the forecasted energy demand. The problem is challenging because of the intermittent nature of renewables. In this paper, photovoltaic (PV) uncertainties are modeled by a Markovian process. For effective coordination, other devices are modeled as Markov processes with states depending on PV states. The entire problem is Markovian. This combinatorial problem is solved using branch-and-cut. Beyond energy and emission costs, to consider capital and maintenance costs in the long run, microgrid design is also essential. The problem is to decide device sizes with given types to minimize the lifetime cost while meeting energy demand. Its complexity increases exponentially with the problem size. To evaluate the lifetime cost including the reliability cost and the classic components such as capital and fuel costs, a linear model is established. By selecting a limited number of possible combinations of device sizes, exhaustive search is used to find the optimized design. The results show that the operation method is efficient in saving cost and scalable, and microgrids have lower lifetime costs than conventional energy systems. Implications for regulators and distribution utilities are also discussed.