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Solving Grid Challenges with Combined Transmission and Distribution System Models
Topic Information
Dear Colleagues,
The complexity of the electric power grid, the largest machine ever built, is rapidly increasing as the application of renewable generators, storage devices, smart grid devices, new measurement systems, and electric vehicles grows, bringing operational, stability, and security challenges. Transmission operators require increased visibility in distribution operations. Distribution operations and controls must support the transmission system needs. Defending against cyber-attacks poses unprecedented challenges. Large-scale models, models that span from transmission to secondary distribution, models of a size that has not been solved to date, are needed to address these challenges. Analysis of such large-scale models, from design to real-time operations, requires new analysis approaches, approaches that work across the wide variety of topologies, approaches that solve systems with tens of millions of nodes, approaches that support distributed computations, and approaches that converge on stiff problems. Topics of interest in the Special Issue include, but are not limited to, the following:
- The modeling and analysis of transmission, substations, primary distribution, and secondary distribution together in one model, referred to as an Integrated System Model;
- Analysis approaches to solving Integrated System Models;
- Analyses where Integrated System Models from two or more utilities are combined into a multi-utility Integrated System Model;
- Applications of Integrated System Models in:
- Forecasting renewable generation and net load;
- Energy independence studies;
- Energy trading studies;
- Real-time monitoring and control;
- Voltage stability analysis;
- Defending against cyber-attacks;
- Multi-domain modeling;
- Cloud-computing.
Prof. Dr. Robert P. Broadwater
Topic Editors
Keywords
- co-simulation
- hybrid systems
- integrated system modeling
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC |
|---|---|---|---|---|---|
Energies
|
3.2 | 5.5 | 2008 | 16.1 Days | CHF 2600 |
Sustainability
|
3.9 | 5.8 | 2009 | 18.8 Days | CHF 2400 |
Sensors
|
3.9 | 6.8 | 2001 | 17 Days | CHF 2600 |
Electronics
|
2.9 | 4.7 | 2012 | 15.6 Days | CHF 2400 |
Sci
|
- | 3.1 | 2019 | 47.7 Days | CHF 1200 |
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Published Papers (4 papers)
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Graph Trace Analysis Based, Time-Series, Optimal Power Flow for Hierarchical, Multi-mode, Coordinated Control of Transmission and Distribution Systems
Authors: Abhineet Parchure, Murat Dilek, Robert Broadwater.
Affiliation: Electrical and Computer Engineering Department, Virginia Tech
Abstract: With increasing proliferation of Distributed Energy Resources (DERs) and Electric Vehicles (EVs), the electric grid can experience rapid variations in system state. Unmanaged, these variations can lead to large numbers of equipment operations, and in some cases, oscillatory behavior in smart inverters and other distribution control assets. The impacts of an active distribution grid extend to transmission system voltage stability as well. As a result, distribution system operations need to be informed by transmission voltage stability needs. Distribution operations also need to account for time-series coordination of many distributed, controllable assets. A hierarchical, multi-mode coordinated control design is described here. In the hierarchical control, the transmission system sends desired modes of control to the distribution system. Examples of distribution system control modes are: Support transmission system voltage; Cyber-attack; Abnormal operation; Maximize Conservation Voltage Reduction and Minimize Losses. Associated with each control mode are time-varying, desired feeder voltage profiles. A time-series, optimal power flow is used to achieve the time-varying, distribution system voltage profiles. The matrix-free, Graph Trace Analysis algorithm used to implement the optimal power flow is described. Case studies for two systems are presented.
Title: Multi-Utility Integrated System Model Combined with New York State Mesonet for Forecasting of Load, DER Generation, and Outages
Authors: Nick Bassill, Kara Sulia, Danling Cheng, Robert Broadwater, JP Laglenne, Ian Smith, Anthony Anchante, Christopher Cheng
Affiliation: Electrical and Computer Engineering Department, Virginia Tech
Abstract: Distributed Energy Resource (DER) generation increases variations in power system flows, including the variation of power flows among utilities. As a result of the increasing DER penetration, transmission operators need increased visibility into distribution system DER operations. In many locations around the world, such as New York State, the severity of storms is increasing, potentially causing increased and longer duration outages. Under both blue-sky day and storm conditions, system operators require information on the net load. Here, Integrated System Models (ISMs) from neighboring utilities are combined into a single model consisting of approximately 1.5 million nodes. That is, a multi-utility ISM is employed. This ISM is integrated with weather measurements from the New York State Mesonet, a distributed weather measurement system. To enhance PV generation forecasting, irradiance meters with a one-second sample rate are added and installed on secondary poles surrounding large PV generation sites. The multi-utility ISM and Mesonet measurements are used to provide short-term and intermediate-term forecasts of the native load, PV generation, net load, and outages for the combined utilities. Based on the load and generation forecasts and current outages, a Graph Trace Analysis-based, time-series power flow is used to forecast the multi-utility operations.
