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Multi-area market clearing in wind-integrated interconnected power systems: A fast parallel decentralized method

机译:集成风电互连系统中的多区域市场清算:快速并行分散式方法

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The growing evolution of regional electricity markets and proliferation of wind power penetration underline the prominence of coordinated operation of interconnected regional power systems. This paper develops a parallel decentralized methodology for multi-area energy and reserve clearance under wind power uncertainty. Preserving the independency of regional markets while fully taking the advantages of interconnection is a salient feature of the new model. Additionally, the parallel procedure simultaneously clears regional markets for the sake of acceleration particularly in large-scale systems. In order to achieve the optimal solution in a distributed fashion, the augmented Lagrangian relaxation along with alternative direction method of multipliers are applied. The wind power intermittency and uncertainty are tackled through the interval optimization approach. Opposed to the conventional wisdom, adjustable intervals, as subsets of conventional predefined intervals, are introduced here to compromise the cost and conservatism of the solution. The confidence level approach is employed to accommodate the stochastic nature of wind power in a computationally efficient deterministic manner. The effectiveness and robustness of the proposed method are evaluated through several case studies on a two-area 6-bus and the modified three-area IEEE 118-bus test systems. (C) 2016 Elsevier Ltd. All rights reserved.
机译:区域电力市场的不断发展演变和风电渗透的扩散突显了相互关联的区域电力系统协调运行的重要性。本文为风能不确定性下的多区域能源和储量净空开发了一种并行的分散方法。在充分利用互联互通优势的同时,保持区域市场的独立性是新模式的显着特征。此外,并行程序为了加速而同时清除了区域市场,特别是在大型系统中。为了以分布式方式获得最优解,应用了增强的拉格朗日弛豫以及乘法器的交替方向方法。通过区间优化方法可以解决风电间歇性和不确定性问题。与常规知识相反,此处引入可调节间隔作为常规预定义间隔的子集,以牺牲解决方案的成本和保守性。采用置信度方法以计算有效的确定性方式适应风能的随机性。通过在两区域6总线和改进的三区域IEEE 118总线测试系统上进行的几个案例研究,评估了该方法的有效性和鲁棒性。 (C)2016 Elsevier Ltd.保留所有权利。

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