Overview

Conservation voltage reduction (CVR) uses Volt-VAR optimization (VVO) methods to reduce customer power demand by controlling feeder’s voltage control devices. The objective of this work is to present a VVO approach that controls system’s legacy voltage control devices and coordinates their operation with smart inverter control.The volt-var optimization (VVO) is one of the most critical applications currently being adopted by the majority of distribution companies and made available by most ADMS vendors to manage system outages [CIT1].

This report documents the volt-var optimization application developed by Washington State University (WSU) and demonstrate its functionality by integrating it with a standards-based open-source platform – GridAPPS-D, developed by the Pacific Northwest National Laboratory (PNNL).

Application Architecture

The proposed volt-var optimization (VVO) application can be implemented in an advanced distribution management system (ADMS) as shown in Figure 1. Figure shows the overall architecture of a modern DMS with integration of several subsystems such as customer information system (CIS), geographical information system (GIS), advanced metering infrastructure (AMI), SCADA and flowchart of the proposed VVO framework..

flowchart

Figure 1: Flowchart of the proposed VVO application.

Leveraging the GridAPPS-D Platform

The realization of an autonomous volt-var optimization application requires a measurement and control environment that provides current toplogy of the system and the ability to remotely deploy the decisions for conservation voltage reduction. GridAPPS-D is an open-source, standards-based platform designed to support the development of advanced, data-driven distribution system operation and/or planning applications that take advantage of the data-rich environment expected in modernized electric power distribution systems with smart grid technologies.

Figure 2 shows a schematic for the interaction and communication among the distribution system operational sub-system for the proposed volt-var optimization application. The platform is typically integrated with other related data and decision-support systems/subsystems such as DERMS, SCADA, OMS, GIS, AMI, CIS to: a) monitor the distribution system conditions, b) obtain the status of legacy device c) status of DERs and operating conditions, and d) for load estimation and control.

archi

Figure 2: Integration of proposed application to the GridAPPS-D platform. GOSS/FNCS is the PNNL’s platform for data exchange among subsystems. GOSS: GridOPTICS Software System; FNCS: Framework for network simulation.

Definition of Terms

Fault - Opening of normally-closed switch in response to any abnormal operating condition on its downstream.

Platform - Refers to GridAPPS-D platform.

Simulation - A real world distribution system currently done by GridLAB-D

Simulator - In current release GridLAB-D serves as the simulator.

CPLEX - A commercial optimization software package for solving the large-scale optimization problem

GridLAB-D - GridLAB-D is a distribution level powerflow simulator. It acts as the real world distribution system in GridAPPS-D.

Power System Model - A modified IEEE 8500 model is used and is referred as IEEE 9500-node model.

References

[CIT1]A. Dubey, A. Bose, M. Liu and L. N. Ochoa, “Paving the Way for Advanced Distribution Management Systems Applications: Making the Most of Models and Data,” in IEEE Power and Energy Magazine, vol. 18, no. 1, pp. 63-75, Jan.-Feb. 2020
[CIT2]Rahul R Jha; Anamika Dubey and Kevin P. Schneider, “Coordinated Control for Voltage Regulation of Unbalanced Power Distribution System: Centralized and Local Control Methods,” in IET Smart Grid (Submitted).
[CIT3]Rahul R. Jha; Anamika Dubey; Chen-Ching Liu; Kevin P. Schneider, “Bi-level Volt-VAR Optimization to Coordinate Smart Inverters with Voltage Control Devices”, in IEEE Transaction on Power System, vol. 34, no. 3, pp. 1801–1813,2019.
[CIT4]R. R. Jha and A. Dubey, “Exact distribution optimal power flow (d-opf)model using convex iteration technique,” 2019 IEEE Power EnergySociety General Meeting (PESGM), Aug 2019, pp. 1–5.
[CIT5]Rahul R Jha and Anamika Dubey,“Coordinated Voltage Control for Conservation Voltage Reduction in Power Distribution Systems”, IEEE Power and Energy Society General Meeting (PESGM), Aug 2020, pp. 1–5.
[CIT6]Rahul R. Jha, S. Poudel, A. Dubey, and K. P. Schneider, “Volt-VAR Optimization Application Using GridAPPS-D – Standards-Based Open-Source ADMS Platform,” in prep for IEEE Power and Energy Technology Systems Journal
[CIT7]Rahul R Jha and Anamika Dubey,“Local Smart Inverter Control to Mitigate the Effects of Photovoltaic (PV) Generation Variability”, in North American Power Symposium (NAPS) 2019.
[CIT9]W. H. Kersting, “Radial distribution test feeders,” in 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194), 2001, pp. 908-912 vol.2.
[CIT10]R. F. Arritt and R. C. Dugan, “The IEEE 8500-node test feeder,” in IEEE PES T&D 2010, pp. 1-6.

Contact Us

WSU team can be reached at rahul.jha@wsu.edu or anamika.dubey@wsu.edu.

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