Solar and Energy Storage Impact Analysis

understanding the local impacts of energy storage and solar PV

Fractal can perform distribution modeling in order to analyze the transmission and distribution grid operational benefits resulting from the planning and deployment ofsolar PV and/or energy storage within your service territory. Having generation located close to a load has the potential to be advantageous in several ways, however, the emergence of distributed PV and fast injecting energy storage also presents some challenges for distribution systems. In particular, the variability of solar generation as well as the non-coincident peaks of solar generation and load may lead to distribution systems being pushed outside of their safe operating limits. One solution to this is to install energy storage alongside PV installations, however, it is important to coordinate the operation of the PV and storage systems. The key objective of the project is to understand how operation of the solar and energy storage system may impact local distribution operations, and understand the envelope of operation that can be accommodated without creating local adverse effects. Fractal can perform planning studies and behavior simulation to show your team the the impacts ofsolar PV and/or storage under different operating conditions and scenarios.

energy storage distribution analysis.

energy storage distribution analysis objectives

Through the proposed solution framework, Fractal will meet the following objectives:

Identify and quantify the aggregated impacts of distributed energy storage connected to utility's distribution system
Perform distribution grid energy storage modeling to produce a predictive benefits and cost analysis
Optimize the use of battery energy storage with other alternate generation and load matching assets
Use predictive aggregate systems modeling to quantify the benefits and costs from energy storage being applied to the current and projected distribution grid baseline
Specify other benefits, such as transmission and grid operational benefits e.g. congestion relief, reliability and quality of service improvements, investment deferrals

Detailed Distribution-Level Analysis and Control Study

This task consists of conducting a high-level screening analysis to study whether there may be any adverse effects due to asset services such as frequency regulation, or due to solar ramping. As part of this screen analysis, the worst-case-scenario impacts on the circuits are examined with respect to voltage, capacity and thermal issues. Fractal can determine if assets will require a dedicated feeder at the distribution substation bus or if they can be connected to an existing circuit.

uncontrolled ramping

The measured load and solar data and the ancillary service signal data can be analysed to find worst case scenarios for ramping. Worst case ramping scenarios are defined as storage ramping up charging during high load and low solar output, and storage ramping up discharging during low load and high solar output.

energy storage capacity impacts

The second part of the impact analysis determines whether the battery has sufficient capability to participate in the frequency regulation service. In order to analyse this, the frequency signal data is examined to find worst case capacity days. Three representative days are chosen: a maximum charging day, which is the day when the charging energy minus the discharging energy is largest; a maximum discharging day when the discharging energy minus the charging energy is largest; and a maximum variation day which is the day with the largest standard deviation of charging/discharging.

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