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Advanced Hosting Capacity Analysis

NREL's advanced hosting capacity analysis can help utilities, policymakers, and solar developers better understand the impact of adding new distributed photovoltaic (DPV) systems to the electrical distribution system.

Hosting Capacity Analysis for Specifc Needs

For Utilities
For Policymakers
For PV Developers

Advanced hosting capacity analysis considers the thresholds at which new DPV systems will trigger upgrades or changes to the electrical distribution system and evaluates the cost of different options for expanding the hosting capacity.

It is one part of NREL's work to help stakeholders better understand the distribution system costs associated with integrating new DPV systems at different penetration levels.

NREL's analysis uses a bottom-up methodology that involves simulating distribution systems. The analysis considers sequential increases in hosting capacity and corresponding upgrade costs from a baseline scenario with no DPV up to penetration levels greater than 100% of peak load.

 

An illustration presents the components of a full cost-benefit analysis for distributed energy resources, from generation and transmission, to distribution networks, to interconnection.

NREL's analysis of hosting capacity upgrade costs is one component of the overall cost-benefit equation for distributed energy resources that also includes the installed cost of the DPV system, transmission and bulk system costs and benefits, and a variety of other potential values.

What is Hosting Capacity?

Hosting capacity is the amount of DPV that can be added to distribution system before control changes or system upgrades are required to safely and reliably integrate additional DPV. Hosting capacity does not represent a hard limit on the amount of DPV that can be added to the distribution system. As upgrades are implemented, the hosting capacity of the system increases. The analysis of these sequential increases in hosting capacity and their related costs are at the core of NREL's approach.

Hosting capacity is highly relational, dependent on a number of factors, including:

  • The characteristics of the DPV system, such as whether advanced inverter settings are utilized, the system size, and where it is located on the circuit,
  • The location and time-varying behavior of all distributed energy resources on the circuit, such as distributed storage,
  • The existing equipment on a circuit at any given time, which will evolve over time depending on investments made by utilities and DPV owners or developers, and
  • The distribution planning practices used by the utility—especially how they determine when upgrades or other mitigations are required.

Three Approaches to Hosting Capacity Analysis

Snapshot Hosting Capacity

  • Traditional firm interconnection approach
  • Fit and forget
  • Analysis uses worst-case static snapshots
  • Conservative limits on the changes in device operations by using proxies for solar variability

Example: Hosting capacity maps, such as those used in California

Uncoordinated Dynamic Hosting Capacity

  • Interconnection using autonomous advanced inverter functionalities without communication to the utility
  • Time-series analysis and probabilistic screens
  • May or may not involve curtailment risk, depending on the inverter settings and size

Example: volt-var control functionality for PV inverters

Coordinated Dynamic Hosting Capacity

  • Flexible Interconnection, where curtailment risk is accepted by the PV developer as an alternative to paying for traditional distribution upgrades
  • Inverters have communications capabilities
  • Uses time-series analysis and probabilistic screens

Example: New York Flexible Interconnect Capacity Solution

Snapshot Hosting Capacity

Snapshot (or static) hosting capacity is the traditional concept of hosting capacity, that:

  • Is based on a few snapshots in time using static device settings and behaviors,
  • Doesn't account for the behavior of loads and distributed energy resources over time or fully capture grid device behavior, and
  • Considers scenarios that are unlikely to occur (e.g., maximum output from all DPV systems simultaneous with minimum load).

There are a myriad of different methodologies that can be used to calculate static hosting capacity. For more information, see the Interstate Renewable Energy Council's Guide to Hosting Capacity Analyses for Distributed Energy Resources .

Dynamic Hosting Capacity

Dynamic hosting capacity is a new concept—and the foundation of NREL's analysis—based on quasi-static time-series simulation, which:

  • Considers the behavior of DPV, loads, and grid devices over time, and
  • Accounts for the fact that some over-voltages and thermal overloading are acceptable for short periods of time and during a limited number of time points during the year.

Dynamic hosting capacity is not based on worst-case snapshot power flows, so it requires probabilistic screens that consider the uncertainty around the time-series input variables, like hourly PV productions and building loads. This concept of dynamic hosting capacity is novel and still under development.

Depending on how the individual DPV and the utility-owned grid devices are controlled, two different types of dynamic hosting capacity should be used.

Uncoordinated dynamic hosting capacity—when only local, autonomous control functions for DER and grid devices are used without communication.

Coordinated dynamic hosting capacity—when a communications-based, coordinated control approach is used to adjust the output of DPV. This coordination may occur at various levels, for example through distributed controls within a certain portion of the feeder, at the substation level, or throughout the distribution system and multiple substations. This may also involve an optimization or simply adjusting the output according to a pre-defined set of rules or principles of access. For more information, see the UK Power Networks' Principles of Access Report.

There are many different control architectures that can be used in the coordinated case. Interconnecting in this coordinated dynamic regime has previously been referred to as flexible interconnection. Coordinated dynamic approaches to DPV integration have also been referred to as Active Network Management or as a subset of distributed energy management systems functionality.

Transparent Analysis

Users can see all of the data that informs NREL's unit cost inputs in the Distribution Grid Integration Unit Cost Database.

Details of methodologies and assumptions are included in NREL's publicly available technical reports (see below).

And users can download the Electric Power Research Institute (EPRI) J1 feeder models that were used in NREL's 2018 technical report and conduct their own analysis.

NREL's hosting capacity analysis seeks to illuminate costs to all parties, including those that may be borne by utilities, DPV developers, or customers under current regulatory regimes. Thus, this research provides an overall picture of costs, cost drivers, and possible low-cost integration solutions as a function of penetration level that can be used to inform capital investment and policy or market design decisions.

Presentations

The Benchmarking Distribution Grid Integration Costs under High Distributed PV Penetrations workshop shared information and elicited stakeholder feedback on methods and terminology used for analyzing the monetizable grid integration costs and benefits of distributed photovoltaic systems on distribution grids.

View Presentations