Fully Distributed Energy and Reserve Scheduling for Hybrid AC/DC Systems

R. Chen, Y. Sun, J. Xu, S. Liao, B. Wang, Z. Zhang, Xiucai Ding, Y. Wu
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引用次数: 1

Abstract

Purchasing reserve power in advance is an efficient approach to address intermittency of renewable energy. To promote renewables penetration level and increase cost-efficiency of bulk power system, a novel coordinated dispatch model for both energy and reserve based on conditional value-of-risk for hybrid AC/DC system is proposed in this paper. In addition, renewable generation and load centers locate separately in a large spatial range and usually are managed by different system operator. A fully distributed framework based on alternating direction method of multipliers (ADMM) is proposed in this paper to solve the schedule model in a decomposed manner, which guarantees low calculation burden and the privacy information of each subsystem. Moreover, a dynamic penalty factor accelerated algorithm is proposed in this paper to enhance the decomposition method convergence and efficiency property. The effectiveness and robustness of proposed model and algorithm are validated through case studies based on a 2-area 6-bus system.
交直流混合系统的全分布式能量与储备调度
提前购买备用电力是解决可再生能源间歇性问题的有效途径。为了提高可再生能源的普及水平,提高大容量电力系统的成本效益,提出了一种基于条件风险值的交直流混合系统能量与储备协调调度模型。此外,可再生能源发电和负荷中心在很大的空间范围内是分开的,通常由不同的系统运营商管理。本文提出了一种基于交替方向乘法器(ADMM)的全分布式框架,以分解的方式求解调度模型,保证了低计算负担和各子系统的隐私信息。此外,本文还提出了一种动态惩罚因子加速算法,以提高分解方法的收敛性和效率。通过基于2区6总线系统的实例研究,验证了所提模型和算法的有效性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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