Topic:"Generation Grid Resources" in M11108

m and must continue 23 to plan for serving these customers in the long term, the full amount of the municipal 24 electric utilities’ peak demand is included in the Load Forecast. 25 DATE: April 28, 2023 Page 72 of 98 REDACTED (CONFIDENTIAL...

AI summary The document discusses the 2023 Load Forecast Report, highlighting system losses and unbilled sales, with system losses averaging 6.4% of NSR over the past five years and projected to remain between 6.0% and 7.0% over the 10-year forecast period. It also defines Net System Requirement (NSR) as the energy required to supply residential, commercial, and industrial sales, plus system losses, excluding certain factors like industrial self-generation and exports.

ember 19, 2022 ....................................................................................................................................................................................48 Page 5 of 48 . . REDACTED (CONFIDENTIAL I...

AI summary The Smart Grid Nova Scotia (SGNS) Project aims to evaluate the effectiveness of Distributed Energy Resource Management Systems (DERMS) in enabling utility control of Distributed Energy Resources (DERs). The project includes the development of use case metrics to measure potential technical and economic benefits of DERMS, which are expected to benefit all customers.

Project Scenarios for Comparison Measuring Outcomes ESP Processes Applicable to Value Reduced Upward Pressure on Revenue Baseline Scenario Baseline Scenario 2 Test Scenario Customer Benefit DER Class DER Group Value Streams DER Control Var...

AI summary The text outlines project scenarios for comparing outcomes related to DER (Distributed Energy Resources) control variables, value streams, and their impact on system reliability, grid stability, and customer benefits. It mentions different control strategies such as no utility influence, device-level control, and direct utility control.

• Connection Status & Alarm Status - The availability of EVSE for control during each test (including communication to the chargers, and the customer participation level) • Aggregated EV charger load (kW) Customer charges as Curtailment of...

AI summary The text outlines parameters related to electric vehicle supply equipment (EVSE) monitoring, including connection status, alarm status, load curtailment, and the value of curtailed load. It discusses aspects of EVSE control, customer participation, and the impact of load curtailment on generation contingency and residential load.

• Available discharge power versus actual discharge power (%) measured for V2G.

AI summary The text discusses the comparison between available discharge power and actual discharge power in the context of Vehicle-to-Grid (V2G) systems, measured as a percentage.

• Available discharge power versus actual discharge power (%) measured for V2G

AI summary The document discusses the comparison between available discharge power and actual discharge power in the context of Vehicle-to-Grid (V2G) systems, measured as a percentage.

• EVSE control signal latency (seconds) to achieve a scheduled curtailment Pilot 2/R3A thresholds (EVSE7) target charge rate • EVSE Control Variable Input: Feeder Voltage (V), • Value of discharge capacity ($/kW, distribution congestion wi...

AI summary The text discusses technical aspects of EVSE control, including signal latency, response times, and curtailment performance. It also mentions V2G discharge and system upgrades related to distribution congestion and capacity valuation.

• Available discharge power versus actual discharge power (%) measured for V2G.

AI summary The text refers to a measurement of available discharge power versus actual discharge power in the context of Vehicle-to-Grid (V2G) systems, expressed as a percentage.

• EV charger load (kW) $/kWh) convenient (charging times will Demand Charge • EVSE control signal latency (seconds) discharge (V2G) schedule N/A N/A management customer peak • EVSE Control Variable Input: Feeder Voltage (V), • Value of dis...

AI summary The text discusses various technical parameters related to electric vehicle supply equipment (EVSE), including load, control signal latency, response time, and demand charge management. It also touches on aspects such as feeder voltage, current, and load, as well as the value of discharge capacity in a vehicle-to-grid (V2G) context.

EV charge • Utility event statistics • Energy delivered (kWh) • Value of load curtailed ($/kW, convenient (charging times will Avoided Generation & Demand Reduction) • Intra-day generation planning EV charging patterns influenced by • Day-...

AI summary The text discusses EV charging statistics, energy delivery, load curtailment value, and the influence of EV charging patterns on generation planning, including intra-day and day-ahead planning, as well as unmanaged energy consumption.

Customer charges as Generation Contingency (10 Curtailment of EV in response to a • Curtailment of EV charge • Utility event statistics • Energy delivered (kWh) • Value of load curtailed ($/kW, convenient (charging times will Minute Operat...

AI summary The text discusses customer charges, energy curtailment related to EV charging during contingency events, and the impact of EV charging patterns on utility operations, including statistics on vehicle charging sessions and energy consumption.

modes: Reactive power or real • PV Inverter Reactive Power Output (kVAR) power output and energy ($/kW, Voltage Support • PV Inverter grid support • Forecasted PV Output (kW) and energy (kWh) versus actuals (%) PV Inverter out-of-the-box f...

AI summary The text discusses various aspects of PV inverter functionality, including reactive power output, voltage support, and system upgrades. It mentions metrics such as forecasted PV output versus actuals, power factor, and response times, as well as pilot programs related to grid services.

Economic Dispatch • Day-ahead generation planning • Curtailment of controlled • Connection Status & Alarm Status - The availability of BMS for control during each test (including Customer runs equipment as Load Leveling (e.g. Peak (BMS1) •...

AI summary The text discusses economic dispatch, including day-ahead and intra-day generation planning, load leveling, and controlled load curtailment. It mentions the use of BMS for equipment control and the consideration of marginal generation costs and load profiles.

Avoided Generation & Demand Reduction) • Intra-day generation planning • Net customer load (kW) • Day-ahead generation planning actions (e.g. decreased • BMS monitoring signal latency (seconds) • Value of load curtailed ($/kW, compared wit...

AI summary The text outlines metrics and considerations related to generation planning, including intra-day and day-ahead planning, net customer load, system load, and the value of curtailed load. It also references BMS (Building Management System) monitoring and control signal latency, as well as capacity and pilot programs.

t IP - If this patent consists of "project IP" as defined in your Contribution Agreement, please indicate so here. Licensing Data Sheet: X 5 A 3 2 T . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse I...

AI summary The text includes a partially redacted section from a regulatory proceeding, featuring a licensing data sheet and references to a load forecast report and a smart grid semi-annual report. These documents suggest involvement with energy infrastructure and regulatory processes.

Year Month ResEndUse.ResOther NResEndUse.SmlGenOther NResEndUse.GenOther Sales.SmlInd Sales.MedInd Sales.Unm mVars.OthrUse mVars.Days mVars.Other_AvgMW 2027 5 210,673.6 15,949.0 145,782.3 22,382.9 38,498.7 6,516.9 439,803.3 31.0 591.1 2027...

AI summary The document presents a table of energy usage and sales data across multiple months and years, including residential and non-residential end-use energy consumption, sales by industry size, and various operational metrics. This data could be relevant for regulatory analysis and decision-making.