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A Time-Series Distribution Test System Based on Real Utility Data
Fankun Bu, Yuxuan Yuan, Zhaoyu Wang, Kaveh Dehghanpour, Anne Kimber
TL;DR
Existing test feeders have limited real time-series data for quasi-static distribution analysis. This paper presents a real, fully observable Midwest grid with one-year smart-meter measurements and network models; its measurements capture seasonal variation, and the released system supports validation using a real grid model and field data.
Problem
Existing real test feeders generally lack time-series measurements, while the only cited feeder with such data has one day of data, lacks common components, and represents a European system.
Source: §I · p. 1Method
The paper provides a real, fully observable Midwest distribution grid model with detailed network topology, equipment parameters, and one-year smart-meter measurements.
Source: §I · p. 2, §IV · p. 6Results
The released system combines a real grid model with one-year field measurements that capture seasonal variation in customer behavior.
Source: §IV · p. 6Takeaways & Limitations
Researchers can use the real grid model and field measurements to validate and demonstrate theoretical work.
Source: §IV · p. 6Individual customers’ power consumption is aggregated at the secondary distribution transformer level, so individual load behavior is not disclosed.
Source: §I · p. 2
Abstract
from arXiv · showhide
In this paper, we provide a time-series distribution test system. This test system is a fully observable distribution grid in Midwest U.S. with smart meters (SM) installed at all end users. Our goal is to share a real U.S. distribution grid model without modification. This grid model is comprehensive and representative since it consists of both overhead lines and underground cables, and it has standard distribution grid components such as capacitor banks, line switches, substation transformers with load tap changer and secondary distribution transformers. An important uniqueness of this grid model is it has one-year smart meter measurements at all nodes, thus bridging the gap between existing test feeders and quasi-static time-series based distribution system analysis.
I. INTRODUCTION
Existing test systems lack the combination of real U.S. network models and long-term time-series measurements needed for quasi-static analysis. This paper presents a real, fully observable Midwest distribution grid with one-year smart-meter data and detailed system information, with customer loads aggregated for privacy.
I. INTRODUCTION
- Class I feeders modify real networks, while Class II systems are synthetic; existing models support distribution-system studies but have limitations for time-series analysis.Class I feeders are stationary snapshots, and synthetic-system findings may not generalize easily to practical networks.Source: §I · p. 1
- Existing U.S. test systems generally lack real time-series measurements; the European feeder offers only one day of data and lacks common components and U.S. system structure.The paper identifies a need for real circuit models with long-term time-series loads and common distribution components.Source: §I · p. 1
- The proposed real, fully observable Midwest grid includes one-year measurements from more than 1120 customers, network parameters, and detailed topology, with customer loads aggregated at secondary transformers for privacy.The component inventory includes overhead lines, underground cables, load-tap-changing and secondary transformers, capacitor banks, and circuit breakers.Source: §I · pp. 1–2
II. DESCRIPTION OF THE TIME-SERIES TEST SYSTEM
The test system is a real, fully observable radial distribution grid in the Midwest, supplied by a 69 kV substation and organized into three feeders.
A. System Description
- The radial test system comprises three feeders supplied by a 69 kV substation.It belongs to a municipal utility in the Midwest U.S. and has smart meters at all customers.Source: A. System Description · p. 2
- The system has 240 primary network nodes and 23 miles of primary feeder conductor.Customers connect to primary network nodes through secondary distribution transformers.Source: A. System Description · p. 2
- Smart meters at all customers make the municipal-utility network fully observable.The network is a real distribution grid located in the Midwest U.S.Source: A. System Description · p. 2
B. Time-series Data Description
The test system uses hourly smart-meter data spanning 2017 and a three-phase substation transformer with independent tap changers for voltage regulation.
B. Time-series Data Description
- Hourly energy data from 1120 customers spans January through December 2017 and captures seasonal load variation.Hourly average kW demand is approximated from energy assuming constant demand within each one-hour interval; customer power factors are randomly selected between 0.9 and 0.95.Source: B. Time-series Data Description · p. 2
- Grossly erroneous and missing smart-meter samples are removed using a statistical approach.The measurements are hourly energy consumption in kWh.Source: B. Time-series Data Description · p. 2
C. Load Tap Changing Substation Transformer
- The 69/13.8 kV, 10,000 kVA delta-wye substation transformer has an on-load tap changer and is modeled with equivalent sub-transmission short-circuit impedance.Its three independent single-phase tap changers are wye-wye connected and regulate Bus 1 voltage; each has 16 steps.Source: C. Load Tap Changing Substation… · pp. 2–3
D. Secondary Distribution Transformers
The test system includes three-phase and single-phase centertapped secondary distribution transformers. Most three-phase units serve commercial customers at 240 V, while most single-phase units serve residential customers at 120/240 V.
D. Secondary Distribution Transformers
- Most three-phase secondary transformers serve commercial customers at 240 V phase-to-phase.Source: D. Secondary Distribution Transformers · p. 3
- Most single-phase centertapped secondary transformers serve residential customers at 120/240 V.Source: D. Secondary Distribution Transformers · p. 3
- The system's secondary transformers include three-phase and single-phase centertapped types.Source: D. Secondary Distribution Transformers · p. 3
E. Line
The line system includes overhead lines and underground cables with varied phasing, using real conductor and construction information. The supplied visuals and tables identify annual substation consumption, Feeder C voltage distributions, and component parameters.
E. Line
- The system includes overhead lines and underground cables with varied phasing, using real conductor and construction information to calculate series impedance and shunt capacitance.The conductor parameters are listed in Table III.Source: E. Line · pp. 3–4
- Fig. 4 shows one year of active and reactive power consumption at the substation transformer.Source: Figure 4 · p. 4
- Fig. 5 shows distributions of one-year nodal voltages for Feeder C.Source: Figure 5 · p. 4
- Table II presents parameters of distribution transformers.Source: Table II · p. 4
- Table III presents parameters of conductors.Source: Table III · p. 4
1) Overhead Lines:
For overhead lines, the paper calculates conductor self and mutual impedances, assembles a primitive impedance matrix, and obtains the phase impedance matrix through Kron reduction. Overhead-line shunt capacitance is ignored.
1) Overhead Lines:
- Conductor self and mutual impedances are calculated using modified Carson’s equations, then used to build the primitive impedance matrix and derive the phase impedance matrix by Kron reduction.Source: 1) Overhead Lines · p. 4
- Overhead-line shunt capacitance is ignored because its shunt admittance is small.Source: 1) Overhead Lines · p. 4
- Fig. 6 shows tap positions and voltage magnitudes at Bus 1 from July 1 to July 7, 2017.Source: Figure 6 · p. 5
- Fig. 7 presents the cumulative distribution function of power-flow solution error.Source: Figure 7 · p. 5
2) Underground Cables:
Underground-cable series impedance is calculated using the same equations as for overhead lines, while cable shunt capacitance is calculated rather than ignored.
2) Underground Cables:
- Equations 1–4 are also used to calculate underground-cable series impedance.Source: 2) Underground Cables · p. 5
- Unlike overhead-line shunt capacitance, underground-cable shunt capacitance cannot be ignored and is calculated from cable geometry and material properties.The equation defines ε as medium permittivity, Rb as the radius through neutral-strand centers, RDc as phase-conductor radius, k as strand count, and RDs as strand-conductor radius.Source: 2) Underground Cables · p. 5
F. Shunt Capacitor Bank
The system has two shunt capacitor banks, one each on Feeders B and C, used for reactive-power support in normal operation.
F. Shunt Capacitor Bank
- The test system has two shunt capacitor banks, located on Feeders B and C.Source: F. Shunt Capacitor Bank · p. 5
- Each capacitor bank is rated at 50 kVAr and uses a grounded-wye connection.Source: F. Shunt Capacitor Bank · p. 5
- The utility switches on capacitor banks during normal operation to provide reactive-power support.Source: F. Shunt Capacitor Bank · p. 5
G. Circuit Breaker
The section describes the test system’s circuit breakers and demonstrates annual and peak-week power-flow results, including voltage behavior and simulation error.
G. Circuit Breaker
- The three feeders have nine circuit breakers for protection and reconfiguration; six are normally closed and three normally open.Source: G. Circuit Breaker · p. 5
III. A NUMERICAL EXAMPLE OF THE TEST SYSTEM
- One-year time-series power flow was run with the OpenDSS simulation program through a Matlab-OpenDSS COM interface, collecting bus voltages and line currents.Source: §III · p. 5
- Bus voltages on Feeder C’s primary main feeder ranged from 1.005 p.u. to 1.035 p.u. over the year, satisfying the voltage quality requirement.Fig. 5 presents the annual statistical results.Source: §III · p. 5
- When Bus 1 voltage fell below its setting, the regulator raised the tap position from 2 to 3, increasing voltage during a July peak-demand week.Fig. 6 shows the tap positions and voltage profiles for phases A, B, and C from July 1 to July 7.Source: §III · p. 5
- In the simulation error check, 95% of percentage-error samples were below (3 × 10−3)%.The error compares bus power calculated from solution voltages and currents with expected power; Fig. 7 shows its CDF.Source: §III · pp. 5–6
IV. CONCLUSION
The paper presents a real Midwest U.S. distribution-grid test system with network topology, equipment parameters, and associated one-year smart-meter measurements. Its OpenDSS model is available, providing researchers an opportunity to validate and demonstrate theoretical work using a real grid model with field measurements.
- The test system combines a real Midwest U.S. distribution grid model with real one-year smart-meter measurements, distinguishing it from existing test systems.Source: §IV · p. 6
- The paper provides the real network topologies and electric equipment parameters alongside the field measurements.Source: §IV · p. 6
- The OpenDSS model is available on the authors’ website for researchers to validate and demonstrate theoretical work using a real grid model with field measurements.Source: §IV · p. 6