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Coordination planning of wind farm, energy storage and transmission network with high-penetration renewable energy

机译:高渗透可再生能源风电场,储能与传输网络的协调规划

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With larger scale renewable energy integrated, high-penetration renewable energy is deemed as one of the most important characteristics in the future power system. However, the inevitable uncertainty of both source and demand has brought significant challenges to planners. Since discoordination planning schemes restrict the optimal operation, a novel and efficient co-planning methodology is urgent to be investigated. Thus, we propose an innovative co-planning model of wind farm, energy storage and transmission network, which successfully takes imbalanced power, unit ramp capacity and incentive mechanism for renewable energy into consideration. To facilitate the renewable consumption, flexible implementations comprising optimal transmission switching (OTS) and unit commitment (UC) are integrated to further optimize the network topology and achieve flexible startup/shutdown of conventional unit. Furthermore, a linear tie-line model designed for multi-regional planning problems has been constructed to capture the presumed limitations. Afterwards, a decentralized decomposition algorithm based on analytical target cascading (ATC) is modified to deal with the proposed model through a completely parallel mode. The modified IEEE 48-bus test system demonstrates the priority of our proposed co-planning model and the corresponding solution algorithm.
机译:随着较大规模的可再生能源集成,高渗透可再生能源被认为是未来电力系统中最重要的特征之一。然而,源头和需求的不可避免的不确定性为规划者带来了重大挑战。由于不断规划计划限制了最佳运行,因此迫切需要进行新颖和高效的共同规划方法。因此,我们提出了一个创新的风电场共同规划模型,储能和传输网络,成功采用了不平衡的电力,单位斜坡容量和可再生能源的激励机制。为了便于可再生消耗,集成了包括最佳传输切换(OTS)和单元承诺(UC)的灵活实现,以进一步优化网络拓扑并实现传统单元的灵活启动/关闭。此外,已经构建了用于多区域规划问题的线性连接线模型以捕获假定的限制。之后,修改基于分析目标级联(ATC)的分散分解算法以通过完全并行模式处理所提出的模型。修改的IEEE 48总线测试系统演示了我们所提出的共规划模型和相应的解决方案算法的优先级。

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