现有电力系统稳定器(power system stabilizer,PSS)和直流调制多使用本地信号作为控制器反馈输入信号,控制器间的交互作用可能降低甚至破坏系统稳定性。提出了一种基于广域测量信号的 PSS 与直流调制协调策略,首先通过留数法选择对于振荡模态可观性较强的广域信号作为阻尼控制器备选反馈信号;其次通过相对增益方法选择使 PSS 和直流调制交互影响最小的备选信号作为最佳反馈信号;而后设计分散控制器,并运用基于混沌和差分进化的混合粒子群优化算法对 PSS 和直流调制控制器参数进行协调优化。最后,通过EPRI 36节点系统仿真验证了协调策略的正确性和有效性。
Power system stabilizer (PSS) and direct current modulation (DCM) are mostly using local signals as their loopback signals now, the interactions between controllers may impair or even destroy stability of systems. A strategy in coordinating PSS and DCM based on wide area signals was proposed in this paper. Firstly, wide area signals which had higher observation on oscillation mode were selected as input candidates of damping controllers based on residue analysis. Then the optimal signal pair which minimized interactions between PSS and DCM was chosen by relative gain. After that, decentralized controllers were designed and chaos and differential evolution particle swarm optimization algorithm (CDEHPSO) was used to optimize parameters of PSS and DCM. Finally, the simulation results for EPRI 36-nodes system verified the validity and efficiency of the strategy proposed in this paper.