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基于改进粒子群算法的次同步阻尼控制器设计 被引量:14

Design of Subsynchronous Damping Controller Based on Improved Particle Swarm Optimization Algorithm
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摘要 串联补偿装置会引发汽轮机组的次同步谐振(subsynchronous resonance,SSR)。提出了一种改进粒子群算法,并基于该算法利用静止无功补偿器(static var compensators,SVC)抑制SSR的原理,选取适当的测试量,设计了次同步阻尼控制器。将SVC的控制器参数视为自适应参数,通过改进粒子群算法,以阻尼比为目标函数,计算出不同运行情况下的控制器参数,达到抑制SSR的目的。以南方电网墨红串补、砚崇串补子系统的仿真模型为例,验证了该阻尼控制器的有效性。 Series compensation equipments may initiate subsynchronous resonance (SSR) of steam turbine-generators, for this reason, an improved particle swarm optimization algorithm is proposed. Based on the proposed algorithm, by use of the principle of suppress SSR by static var compensators (SVC) and choosing appropriate amount of testing, a subsynchronous damping controller is designed. Regarding the controller parameter of SVC as adaptive parameters, by means of improved particle swarm optimization algorithm and taking the damping ratio as objective function, the controller parameters under various operation conditions are calculated to suppress SSR. Taking the simulation models of Mohong and Yanchong series compensation subsystems in Southern C.hina power grid for example, the effectiveness of the proposed damping controller is verified.
出处 《电网技术》 EI CSCD 北大核心 2010年第8期52-56,共5页 Power System Technology
基金 国家自然科学基金资助项目(50577044)~~
关键词 次同步谐振 改进粒子群优化算法 静止无功补偿器 次同步阻尼控制器 subsynchronous resonance improved particle swarm optimization algorithm static var compensators(SVC) subsynchronous damping controller
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