Operation of ESS Interconnected to the Distribution Feeder by Distribution Management System

Transcription

1 The 17 th IERE General Meeting & Canada Forum Operation of ESS Interconnected to the Distribution Feeder by Distribution Management System 18 th May, 2017 Wonwook Jung KEPCO Research Institute

2 Contents Project Overview ESS Operation in Normal Condition ESS Operation in Abnormal Condition MiDAS Features & Commercialization

3 Project Overview Penetanguishene Distribution Microgrid (MG) Project Duration : ~ (24 Month) Cost : $4.5 Million KEPCO : $2.7 Million, PowerStream : $1.8 Million Final Goal Distribution MG demonstration Field test of MG operation system developed by KEPCO Toronto MG Test Bed Penetanguishene, Ontario 3

4 Project Overview Distribution Feeder MG Test Bed with Control Center 500kWh Battery Container Control Room 750kW PCS Container Robert Substation (44 kv/4.16kv) 4

5 Introduction of MiDAS MiDAS is the Distribution Management and Energy Management System Distribution Management Apps. Energy Management Apps. MiDAS Network Analysis Voltage Regulation Fault Management Load Forecasting ESS Scheduling [Control Room] IN : data OUT : solution System Platform : Monitoring / Data service / Apps. Manager / HMI Data Acquisition Command Dispatch Network & Equipment [Field Site] Grid Robert Substation 44/4.16kV CB CB Voltage SVR Operation mode ESS Charging Discharging 750kW/500kWh (new installed) SW SW SW On/Off SW Hospital (Critical Load) CB : Circuit Breaker SW : Automated Switch (new installed) SVR : Step Voltage Regulator (new installed) SW MiDAS : Microgrid and DER interconnected Active Distribution System 5

6 ESS Operation in Normal Condition Objective : Reduction of the electricity purchasing cost Every two minutes, an application determines the operation schedule for the ESS Every one minute, SCADA controls the ESS based on the schedule Ontario electricity market Independent Electricity System Operator (IESO) operates the market IESO calculates the market clearing price (MCP) every five minutes Based on the MCP, electricity price for an hour is determined by IESO Large customers pay electricity cost determined from hourly price, their peak demands, etc. Forecasted hourly price Real-time MCP Real hourly price Electricity price in Ontario market 6/15

7 ESS Charging & Discharging Scheduling ESS schedule-based control (ESC) application ESC makes an optimal operation schedule for a day Objective : Minimizing electricity cost (energy cost determined by hourly price + peak demand cost) Inputs : forecasted market price and demand, real-time MCP and demand, ESS status, etc. Deterministic optimization method was adopted to improve the calculation speed Forecasted market price Real-time MCP IESO homepage Application Server Circuit breaker SCADA Demand Inputs Schedule Active power reference Status ESC Application Energy storage system Every 2 minutes 7

8 Field Test Results of ESC Application(1) ESS output was responded to market price!! ESS was charged when the market price was low ESS was discharged when the market price was high Consequently, the energy cost was reduced ESS Output (kw) ESS Output Market Price Time (hour) Market Price ($/MWh) 8

9 Field Test Results of ESC Application(2) ESS reduced the peak demand of the MG!! Previous peak demand was about 410 kw ESS was discharged when the MG demand was higher than the previous demand peak Consequently, the peak demand cost of the MG was reduced 600 MG Demand Previous Peak Demand Active power (kw) Active power (kw) ESS Output

10 ESS Operation in Abnormal Condition Objective : Backup generator For a fault in the transmission system, the distribution system cannot be restored In this case, ESS is used as a backup generator and supplies power to the distribution system, If the transmission system is restored, the islanded system can be seamlessly reconnected FDIR applications in MiDAS FDIR determines fault location base on the measured current data from CB & Switches FDIR determines the sequence of switch operations to isolate the MG and to make the total load is less than the maximum output of the ESS Finally, FDIR recommends the start of the ESS to the operator Network State Monitoring & Fault Detect (System Platform) Fault Diagnosis (Application run) Service Restoration (Application run) FDIR Process [On HMI] Alarm Occurred Indexing on Fault Section SOP listed for restoration 10

11 FDIR : Fault Alarm 11

12 FDIR : Solution for Fault Isolation 12

13 FDIR : Solution for Restoration 13

14 FDIR : Restoration with ESS 14

15 Field Test Results of Islanding (1) Seamless transition from grid-connected operation to islanded operation By opening the CB, the MG was disconnected from the main grid ESS automatically detected the isolation and started the islanding operation It takes only one and half cycles CB was opened ESS started islanding operation ESS terminal voltage ESS output current Grid-connected operation islanded operation 15

16 Field Test Results of Islanding (2) Islanded operation maintained about 40 minutes ESS supplied load without any problem even though there were step changes in the demand Start of the islanded operation Step changes of demand End of the islanded operation 600 ESS output Active power (kw) Reactive power (kvar) -4004:10:20 4:15:20 4:20:20 4:25:20 4:30:20 4:35:20 4:40:20 4:45:20 4:50:20 4:55:20 Time SOC (%) :10:20 4:15:20 4:20:20 4:25:20 4:30:20 4:35:20 4:40:20 4:45:20 4:50:20 4:55:20 Time Islanded operation 16

17 Field Test Results of Islanding (3) Seamless transition from islanded operation to grid-connected operation ESS automatically synchronized its output voltage to that of the main grid when the main grid was energized Islanded MG was reconnected to the main grid by closing the CB without any problem ESS changed its operation mode to grid-connected mode automatically It takes only one and half cycles CB was closed ESS started grid-connected operation ESS terminal voltage ESS output current Islanded operation Grid-connected operation 17

18 MiDAS Feature & Commercialization MiDAS can be applied to Various MG Business Model Customer MG [Campus, Factory EMS] Utility Distribution MG [DMS] Isolated MG [Island EMS] Flexibility Modular Structure - 16 process modules is composed - Scalable system by combination of each module Expandability Powerful Solutions - Network and Energy Management - Combined necessary solutions plugged in the System Various MG Solution Compatibility International Standard - Base on CIM/CIS Structure - Interconnect External Systems Convenience User Friendly Interface - Simple DB modification (DB Tool) - Graphical Viewer - Easy Customization 18

19 Thank you 18 th May, 2017 KEPCO Research Institute