IEC TS 62872-1:2019
(Main)Industrial-process measurement, control and automation - Part 1: System interface between industrial facilities and the smart grid
Industrial-process measurement, control and automation - Part 1: System interface between industrial facilities and the smart grid
IEC 62872-1:2019(E) defines the interface, in terms of information flow, between industrial facilities and the “smart grid”. It identifies, profiles and extends where required, the standards needed to allow the exchange of the information needed to support the planning, management and control of electric energy flow between the industrial facility and the smart grid.
The scope of this document specifically excludes the protocols needed for the direct control of energy resources within a facility where the control and ultimate liability for such control is delegated by the industrial facility to the external entity (e.g. distributed energy resource (DER) control by the electrical grid operator).
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IEC TS 62872-1 ®
Edition 1.0 2019-06
TECHNICAL
SPECIFICATION
colour
inside
Industrial-process measurement, control and automation –
Part 1: system interface between industrial facilities and the smart grid
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IEC TS 62872-1 ®
Edition 1.0 2019-06
TECHNICAL
SPECIFICATION
colour
inside
Industrial-process measurement, control and automation –
Part 1: system interface between industrial facilities and the smart grid
INTERNATIONAL
ELECTROTECHNICAL
COMMISSION
ICS 25.040.40; 29.240.99; 35.100.05 ISBN 978-2-8322-7084-4
– 2 – IEC TS 62872-1:2019 © IEC 2019
CONTENTS
FOREWORD . 5
INTRODUCTION . 7
1 Scope . 8
2 Normative references . 8
3 Terms and definitions . 8
3.1 General . 9
3.2 Models in automation . 11
3.3 Models in energy management system and smart grid . 11
4 Abbreviated terms . 15
5 Requirements . 16
5.1 Considerations and approaches in industry . 16
5.1.1 General . 16
5.1.2 Approaches to maintain grid stability . 18
5.1.3 Price-based and incentive-based demand response . 18
5.2 Architecture requirements . 20
5.2.1 General . 20
5.2.2 Energy management in industrial facilities . 22
5.3 System interface mode between facility and smart grid . 25
5.4 Security requirements . 26
5.5 Safety requirements . 27
5.6 Communication requirements . 27
5.6.1 General . 27
5.6.2 Use of common communications technology . 27
5.6.3 Communication security requirements . 27
5.6.4 Network availability . 27
5.6.5 Time synchronization . 27
5.7 Audit logging requirements . 28
5.8 Information requirements . 28
5.8.1 General . 28
5.8.2 Information attributes . 28
5.8.3 Example of data and data type . 44
Annex A (normative) User stories and use cases . 47
A.1 General . 47
A.2 User stories . 47
A.3 Use cases . 49
A.3.1 Use case analysis . 49
A.3.2 Actor names and roles . 51
A.3.3 Use case descriptions . 54
Annex B (normative) Use cases of incentive-based DR programs . 73
B.1 General . 73
B.2 Use cases of incentive-based DR (IBDR) programs . 74
B.2.1 Use case analysis . 74
B.2.2 Use case description . 75
Annex C (informative) Example of an application of demand response energy
management model . 86
C.1 General . 86
C.2 Main architecture . 86
C.3 Structure of a task . 87
C.4 Approaches of energy management . 87
C.4.1 General . 87
C.4.2 Approach 1 . 88
C.4.3 Approach 2 . 88
C.5 Mapping industrial demand response energy management model to use
cases . 88
Annex D (normative) Security services . 90
Annex E (informative) Solutions for information requirement . 91
E.1 General . 91
E.2 Existing standards . 91
E.3 Analysis for each use case . 93
E.3.1 General . 93
E.3.2 Analysis of "OpenADR2.0b" (IEC 62746-10-1:2018) . 93
E.3.3 Analysis of "OASIS Energy Interoperation 1.0" . 95
E.3.4 Analysis of "NAESB Energy Services Provider Interface (ESPI)". 97
E.3.5 Analysis of "ISO 17800:2017 Facility Smart Grid Information Model”
(FSGIM) . 98
Bibliography . 100
Figure 1 – Overview of interface between FEMS and smart grid . 17
Figure 2 – General approach common today for grid management of DR . 19
Figure 3 – Example facility electric power distribution . 20
Figure 4 – Facility enterprise and control systems . 21
Figure 5 – Model elements . 23
Figure 6 – Model architecture . 23
Figure 7 – Network architecture model . 26
Figure A.1 – Use case overview . 51
Figure A.2 – Generic communication diagram between the smart grid and the FEMS . 51
Figure A.3 – Actors in role hierarchy (IEC 62264-1) . 52
Figure A.4 – Sequence diagram for FG-100 . 56
Figure A.5 – Sequence diagram for FG-200 . 58
Figure A.6 – Sequence diagram for FG-300 . 60
Figure A.7 – Sequence diagram for FG-400 . 61
Figure A.8 – Sequence diagram for FG-500 . 63
Figure A.9 – Sequence diagram for FG-600 . 64
Figure A.10 – Sequence diagram for FG-710 . 66
Figure A.11 – Sequence diagram for FG-720 . 68
Figure A.12 – Sequence diagram for FG-810 . 70
Figure A.13 – Sequence diagram for FG-820 . 72
Figure B.1 – Role of incentive-based demand response in electric system planning
and operations . 74
Figure B.2 – Sequence diagram for IBDR-1 (DLC) . 76
Figure B.3 – Sequence diagram for IBDR-2 (I/C) . 78
Figure B.4 – Sequence diagram for IBDR-3 (EDRP) . 79
– 4 – IEC TS 62872-1:2019 © IEC 2019
Figure B.5 – Sequence diagram for IBDR-4 (DB) . 81
Figure B.6 – Sequence diagram for IBDR-5 (CMP). 83
Figure B.7 – Sequence diagram for IBDR-6 (ASM) . 85
Figure C.1 – An application example of demand response energy management model . 86
Figure C.2 – Structure of water cooling task . 87
Figu
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