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State estimation at all India level

机译:所有印度层面的国家估算

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Indian power system is one of the largest synchronously operated Power System Networks in the world. It has an installed capacity of about 303 GW. Indian power system has complex transmission network along with many cross border connections. It is monitored by a multi-level integrated Supervisory Control & Data Acquisition (SCADA)/ Energy Management System (EMS) installed at many control centres dispersed all over India. SCADA/EMS of National control centre is integrated with SCADA/EMS systems of five Regional control centres. SCADA/EMS systems of Regional control centres in turn are integrated with SCADA/EMS systems of 32 State control centres. It is important to use all real-time tools to help the operator in maintaining the grid in a highly secure and reliable manner. Successful implementation of State Estimator is said to be critical requirement for efficient EMS. An exercise was taken up by Power System Operation Corporation Limited (POSOCO) with an objective of improving the usage of State Estimation in Load Despatch Centres in India. In this process, it has been interacting with experts both in India and abroad with the objective of learning and making continuous improvement. Successful running of State Estimation at All India level involves maintaining and tuning of a large SCADA and Network database. Such a big database needs correction in topology, device parameters, connectivity model, etc. This paper focusses on all such related issues, its solution and impact on State Estimator output.
机译:印度电力系统是世界上最大的同步运行电力系统网络之一。它的装机容量约为303 GW。印度电力系统具有复杂的输电网络以及许多跨境连接。它由分布在印度各地许多控制中心的多级集成监督控制和数据采集(SCADA)/能源管理系统(EMS)进行监控。国家控制中心的SCADA / EMS与五个区域控制中心的SCADA / EMS系统集成在一起。区域控制中心的SCADA / EMS系统又与32个国家控制中心的SCADA / EMS系统集成在一起。使用所有实时工具来帮助操作员以高度安全和可靠的方式维护电网非常重要。据说成功实施State Estimator是高效EMS的关键要求。电力系统运营有限公司(POSOCO)进行了一项练习,目的是改善印度负荷调度中心的国家估算方法。在此过程中,它一直与印度和国外的专家进行互动,以学习和不断改进为目标。在全印度范围内成功运行状态估计需要维护和调整大型SCADA和网络数据库。如此大的数据库需要在拓扑,设备参数,连接模型等方面进行校正。本文着重于所有这些相关问题,解决方案以及对状态估计器输出的影响。

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