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Real-time energy management for cooperative microgrids with renewable energy integration

机译:带有可再生能源集成的协作微电网的实时能源管理

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The reliable operation of microgrids is hindered by the integration of intermittent renewable energy generations. To overcome this problem, in this paper we study the realtime energy management for two cooperative microgrids with integrated renewable energy generators. We first assume that renewable energy generations and loads of microgrids can be perfectly predicted or are known a priori. In this case, we solve the off-line optimization problem and propose a distributed algorithm for the optimal off-line energy management solution. Next, by defining energy cost saving as the total energy cost reduction with proposed microgrid energy cooperation over the traditional case of no cooperation, we investigate how the distance-dependent renewable energy generation correlation between the two microgrids affects the energy cost saving. Inspired by the observed energy cost saving versus distance behavior, we further propose two online algorithms of low complexity for the real-time energy management of cooperative microgrids. Last, we evaluate the performances of our proposed algorithms via simulations based on the Tucson power system data.
机译:微电网的可靠运行受到间歇性可再生能源发电的整合的阻碍。为了克服这个问题,本文研究了两个带有集成可再生能源发电机的合作微电网的实时能源管理。我们首先假设可完美预测可再生能源的产生和微电网的负荷,或者先验已知。在这种情况下,我们解决了离线优化问题,并提出了一种用于最佳离线能源管理解决方案的分布式算法。接下来,通过将节约能源成本定义为在没有合作的传统情况下通过提议的微电网能源合作减少的总能源成本,我们研究了两个微电网之间依赖于距离的可再生能源发电相关性如何影响节能成本。受观察到的能源成本节省与距离行为的关系启发,我们进一步提出了两种在线算法,用于复杂微电网的实时能源管理,具有低复杂度。最后,我们通过基于图森电力系统数据的仿真评估我们提出的算法的性能。

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