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基于异步迭代的多区域互联系统动态潮流分解协调计算 被引量:58

A DECOMPOSITION AND COORDINATION DYNAMIC POWER FLOW CALCULATION FOR MULTI-AREA INTERCONNECTED SYSTEM BASED ON ASYNCHRONOUS ITERATION
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摘要 在全局电网分解协调计算中,为增加各子系统计算的独立性,并减小协调计算对通信系统的要求,提出了一种新的基于异步迭代的互联系统分解协调动态潮流计算方法,这种方法允许每个参与分布式计算的子系统自由选择本系统内的Vθ节点,采用内、外两层迭代的方式求解整个互联系统的动态潮流。以各子系统单独潮流计算作为内层迭代,再利用边界条件构造关于边界节点状态量的不动点迭代格式,通过不断修改各子系统相应外边界节点的等值注入作为外层迭代来统一全网潮流解。所提出的算法经IEEE 9节点试验系统验证,可获得全网动态潮流解。 In order to meet the requirements for hierarchical and distributed dispatching and control of interconnected power systems, a decomposition and coordination EMS for hierarchical control centers is needed. In order to remain the independence for each subsystem calculated and to reduce the requirements for communication during decomposition and coordination computation, a new asynchronous iterative algorithm is proposed for decomposition and coordination dynamic power flow in this paper. In the algorithm, buses can be selected freely in each subsystem. Interior and exterior iterations are designed in the algorithm. The former is used to achieve an isolated dynamic power flow solution for a subsystem and the latter is designed to achieve coordination between the two levels. By modifying the equivalent injection power on the boundary buses during the exterior iteration, a consistent power flow result with that for whole system can be obtained. The algorithm is testified by an example of IEEE 9-bus system.
机构地区 清华大学电机系
出处 《电力系统自动化》 EI CSCD 北大核心 2003年第24期1-5,9,共6页 Automation of Electric Power Systems
基金 国家重点基础研究专项经费资助项目(G1998020302)
关键词 分布式能量管理系统 分布式潮流计算 动态潮流 异步迭代 distributed energy management system (DEMS) distributed power flow calculation dynamic power flow asynchronous iteration
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参考文献4

  • 1Deckmann S, Pizzolante A, Monticelli A, et al. Studies on Power System Load Flow Equivalencing. IEEE Trans on Power Apparatus and Systems, 1980, 99(6): 2301~2310
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  • 3Korres G N, Contaxis G C. Application of a Reduced Model to a Distributed State Estimator. In: Conference Proceedings of 2000IEEE Power Engineering Society Winter Meeting, Vol 2.Piscataway (NJ); IEEE, 2000. 999~1004
  • 4Javier C, Arturo L, Mario R, et al. Simulation and Evaluation of Optimization Problem Solutions in Distributed Energy Management Systems. IEEE Trans on Power Systems, 2002, 17(1) :57~62

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