Presentation is loading. Please wait.

Presentation is loading. Please wait.

Marianna Vaiman, V&R Energy

Similar presentations


Presentation on theme: "Marianna Vaiman, V&R Energy"— Presentation transcript:

1 Marianna Vaiman, V&R Energy
V&R Energy’s Project under PRSP: Grid Operator’s Monitoring & Control Assistant (GOMCA) Marianna Vaiman, V&R Energy JSIS Meeting March 3, 2015 Copyright © V&R Energy Systems Research, Inc. All rights reserved.

2 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.

3 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; Technology transfer to project participants, training workshop. Copyright © V&R Energy Systems Research, Inc. All rights reserved.

4 Scope of Work 1. Prototype LSE study and Peak-ROSE 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. Idaho Power will use WSM cases from Peak for Peak-ROSE. 2. Peak-ROSE (“hybrid” ROSE) enhancements 3. LSE and ROSE integration at SCE and SDGE: Interfacing ROSE with GE’s XA21; Enhancing methodology for identifying additional PMU locations, if needed. 4. LSE at CAISO and Peak 5. Measurement-based voltage stability analysis, remedial actions, and visualization, based on the cases created by LSE 6. Technology transfer Copyright © V&R Energy Systems Research, Inc. All rights reserved.

5 Project Participant Expectations
SCE – ROSE integration with GE’s XA21 and PDC to run both “hybrid” and PMU-based ROSE. SDG&E – ROSE integration with GE’s XA21 and PDC to run both “hybrid” and PMU-based ROSE. IPC – ROSE integration with EMS and PDC (will receive cases from Peak) to run “hybrid” and PMU-based ROSE. BPA – project observer/advisor. CAISO – supporting Peak in ROSE implementation and use of Linear State Estimator; integration of PMU-based ROSE. Peak – ROSE enhancements, and synchrophasor-based analysis. 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 reading the SE data, topology processing if node-breaker model 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 To be discussed with V&R Copyright © V&R Energy Systems Research, Inc. All rights reserved.

9 “Hybrid” ROSE Integration
The same computational functionalities as in Peak-ROSE Integration/customization is needed because State Estimator data and additional files needed for VSA analysis (contingencies, sources/sinks, monitored elements) come in different formats at different entities: Working with participants to develop integration with their EMS; Understanding the data; Integrating ROSE. 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: “Hybrid”- 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 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 Copyright © V&R Energy Systems Research, Inc. All rights reserved.

13 “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) Real-Time Mode Answer the following: Provide a brief project description. What are the project objectives? What is the major planned deliverable? Describe any issues/problems/challenges. The questions below are food for thought. You are not limited to answering just these questions, nor do you have to answer them all. Respond with information, as appropriate for your project. Are the stakeholders in agreements that the project is moving toward the intended objectives/accomplishments as planned? What technical approach is being used to do the research? How would you define success for this project? What technology gap in the Roadmap will this project close? Copyright © V&R Energy Systems Research, Inc. All rights reserved.

14 “Hybrid” ROSE Implementation at Peak
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. EMS Node-breaker model ROSE Alarming/Archiving/ Visualization via Web Client PDC AC contingency analysis with real-time RAS; Computes interface limits; Performs PV-curve/QV-curve analysis. Customized output; alarming; archiving; Output is in the format that is easily integrated with other applications. 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) Answer the following: Provide a brief project description. What are the project objectives? What is the major planned deliverable? Describe any issues/problems/challenges. The questions below are food for thought. You are not limited to answering just these questions, nor do you have to answer them all. Respond with information, as appropriate for your project. Are the stakeholders in agreements that the project is moving toward the intended objectives/accomplishments as planned? What technical approach is being used to do the research? How would you define success for this project? What technology gap in the Roadmap will this project close? Copyright © V&R Energy Systems Research, Inc. All rights reserved.

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

17 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. Copyright © V&R Energy Systems Research, Inc. All rights reserved.


Download ppt "Marianna Vaiman, V&R Energy"

Similar presentations


Ads by Google