V&R Energy’s Project under PRSP: Grid Operator’s Monitoring & Control Assistant (GOMCA) Marianna Vaiman, V&R Energy JSIS Meeting.

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Presentation transcript:

V&R Energy’s Project under PRSP: Grid Operator’s Monitoring & Control Assistant (GOMCA) Marianna Vaiman, V&R Energy JSIS Meeting September 22, 2015 Copyright © V&R Energy Systems Research, Inc. All rights reserved. 1

Project Team Project Participants - BPA, CAISO, IPC, Peak, SCE, SDGE Real-time monitoring and control based on the Region Of Stability Existence (ROSE) platform: – ROSE defines the range of phasor measurements or other system parameters for which the system may securely operate in terms of the accepted N-k security criteria Copyright © V&R Energy Systems Research, Inc. All rights reserved. 2

GOMCA Project Objectives Demonstration of V&R Energy’s Liner State Estimator (LSE) on realistic WECC network, including: – Observability analysis; – Bad synchrophasor data detection and conditioning; – Validation of cases created by LSE and their applicability to voltage stability analysis; – Based on the methods and algorithms that V&R demonstrated during NASPI Voltage Stability Workshop. Measurement-based analysis: – Measurement-based voltage stability analysis; – Automatic determination of corrective remedial actions; – Situational awareness wall to visualize in an easy effective way synchrophasor data, and results of voltage stability analysis; ROSE integration with EMS/PDC systems of the project participants; ROSE Enhancements Technology transfer to project participants, training workshop. Copyright © V&R Energy Systems Research, Inc. All rights reserved. 3

Proposed High Level Architecture PRSP – Voltage Stability 4 Copyright © V&R Energy Systems Research, Inc. All rights reserved. Source: SCE

LSE – Related Tasks LSE at Idaho Power: – Prototype LSE study includes: Observability study; Methodology for identifying additional PMU locations; Bad data analysis and detection using LSE; – LSE cases for IPC LSE at CAISO LSE at SDGE LSE at SCE LSE at Peak Measurement-based voltage stability analysis Measurement-based corrective actions Building situational awareness wall Copyright © V&R Energy Systems Research, Inc. All rights reserved. 5

Peak-ROSE – Related Tasks Peak-ROSE VSA software integration at IPC Peak-ROSE VSA software integration at SDGE Peak-ROSE VSA software integration at SCE All project participants will use the same WSM model provided by Peak: – Cases are provided via an automated process – Available every 5 minutes Peak-ROSE (“hybrid” ROSE) enhancements Technology transfer Copyright © V&R Energy Systems Research, Inc. All rights reserved. 6

Linear State Estimator Working with each participant: – To perform observability study MODEL WILL BE NEEDED Involves use of the SE data – Validation of the results of LSE for participant’s network/PMU installation; Copyright © V&R Energy Systems Research, Inc. All rights reserved. 7

Linear State Estimator (cont.) Incorporating algorithms for bad data detection and conditioning into LSE; Test the quality of the algorithms/data; Analyze the applicability of the cases created by LSE for voltage stability analysis; Do changes to LSE process, if needed, to create cases suitable for voltage stability analysis. Copyright © V&R Energy Systems Research, Inc. All rights reserved. 8

“Hybrid” Peak-ROSE Enhancements Peak prepared a list of enhancements Coordinated with V&R Peak/V&R work closely with WECC entities to incorporate current modeling practices into WSM file and Peak-ROSE VSA analysis Copyright © V&R Energy Systems Research, Inc. All rights reserved. 9

“Hybrid” ROSE Integration The same computational functionalities as in Peak-ROSE Installed at project participants' sites Modeling of additional scenarios for voltage stability assessment with each participant Copyright © V&R Energy Systems Research, Inc. All rights reserved. 10

Measurement-Based Analysis and Visualization Voltage stability analysis Automated corrective actions: – Automatically determine corrective actions – Work with participants: To implement remedial actions for their system; Validate the results of automated computations. Building situational awareness wall: – Displaying the results of the analyses via easy-to-understand GUI; – Customization for each participant. Copyright © V&R Energy Systems Research, Inc. All rights reserved. 11

ROSE Implementations Model - based ROSE: – State Estimator data is required at the rate available at the entity using the application, usually 3 to 5 minutes. “Hybrid”- based ROSE: – Phasor and State Estimator data sets are required: Phasor data at the rate available at the entity using the application, usually 30 samples/second. State Estimator data at the rate available at the entity using the application, usually 3 to 5 minutes. Implemented at Peak Measurement - based ROSE: – Phasor data is required the rate available at the entity using the application, usually 30 samples/second. – Will be demonstrated using the DOE project Copyright © V&R Energy Systems Research, Inc. All rights reserved. 12

ROSE Software Copyright © V&R Energy Systems Research, Inc. All rights reserved. 13 State Estimator is a part of the ROSE software. Can use V&R’s SE or export from an EMS vendor Model-based and measurement-based & hybrid State Estimator

“Hybrid”- ROSE Architecture Two analysis modes: Real-Time and Off-Line Inputs are: – State Estimator (SE) data, synchrophasor data, and additional files to perform voltage stability analysis (VSA) Copyright © V&R Energy Systems Research, Inc. All rights reserved. 14 Real-Time Mode

EMS ROSE Node-breaker model Alarming/Archiving / Visualization via Web Client PDC Synchronization with EMS and automatic reading of SE files (WSM Export) every 5 minutes; Using synchrophasor data in C37.118; Server-client application; Running as a service 24/7. Customized output; alarming; archiving; Output is in the format that is easily integrated with other applications. AC contingency analysis with real-time RAS; Computes interface limits; Performs PV-curve/QV-curve analysis. “Hybrid” ROSE Implementation at Peak Copyright © V&R Energy Systems Research, Inc. All rights reserved. 15

Measurement – Based ROSE Architecture One main input is synchrophasor data Additionally, we will need a power flow case to obtain model parameters, locations of PMUs, and additional files to perform voltage stability analysis (VSA) Copyright © V&R Energy Systems Research, Inc. All rights reserved. 16

Copyright © V&R Energy Systems Research, Inc. All rights reserved. 17 Measurement – Based ROSE Based on cases created by Linear State Estimator

Copyright © V&R Energy Systems Research, Inc. All rights reserved. 18 Uses of LSE The algorithms for new LSE were developed by V&R Energy: – Demonstration/validation for a realistic power system network will be performed during the current DOE project. LSE is based on PMU measurements of voltage and current: – Orthogonal component of voltage and current vectors is considered as the state variable Advantages of LSE: – Speed of state estimation due to using a direct non-iterative solution; – Improving quality of PMU data. – May replace conventional State Estimator (SE) when SE looses its output.