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Distributed load management scheme to increase PV hosting capacity in LV feeders

机译：分布式负载管理方案可提高低压馈线中的光伏承载能力

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摘要

Proliferation of photovoltaic (PV) panels may cause voltage increases in low voltage (LV) distribution feeders. This issue confines PV hosting capacity of the feeders. To overcome this issue and enable higher PV hosting capacity, a model to manage the operation cycles of the domestic electric water heater and heating, ventilation, and air conditioning loads in order to avoid the voltage rise, thereby increasing PV hosting capacity in LV feeders is presented in this study. The model respects users' thermal comfort by setting the associated temperatures within allowed ranges. To preserve customers' privacy, the presented model is then decomposed into a master problem and several sub-problems using the Dantzig-Wolfe decomposition algorithm. Thereafter, an effective scheme is designed to solve the decomposed problem in a distributed fashion. In the scheme, the master problem is solved by the system-wide module and the sub-problems are solved by house-wide modules. The problems are all in linear format which can be easily solved with affordable computation. Importantly, the proposed model can reach the optimal solution while minimal data is shared between houses and control centre.
机译：光伏（PV）面板的扩散可能会导致低压（LV）配电馈线中的电压升高。此问题限制了馈线的PV承载能力。为克服此问题并提高光伏承载能力，一种用于管理家用电热水器，供暖，通风和空调负载的运行周期以避免电压升高的模型，从而提高了低压馈线的光伏承载能力在这项研究中提出。该模型通过将相关温度设置在允许范围内来尊重用户的热舒适性。为了保护客户的隐私，然后使用Dantzig-Wolfe分解算法将提出的模型分解为一个主要问题和几个子问题。此后，设计了一种有效的方案来以分布式方式解决分解问题。在该方案中，主要问题由系统范围的模块解决，子问题由房屋范围的模块解决。这些问题都是线性格式，可以通过负担得起的计算轻松解决。重要的是，在房屋和控制中心之间共享最少数据的同时，所提出的模型可以达到最佳解决方案。

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