|
|
|
Parent Menu
Same Level Menu
Child Menu
Questions/Comments
|
Transmission Operations - Self-Healing Grid Using Wide Area ControlContentsNarrativeOverviewThe objective of the Self-Healing Grid (SHG) applications is to evaluate power system behavior in real-time, prepare the power system for withstanding credible combinations of contingencies, prevent wide-area blackouts, and accommodate fast recovery from emergency state to normal state. DescriptionThe SHG function comprises a set of computing applications for information gathering, modeling, decision-making, and controlling actions. These applications reside in central and/or in widely distributed systems, such as relay protection, remedial automation schemes (RAS), local controllers, and other distributed intelligence systems. All these applications and system components operate in a coordinated manner and are adaptive to the actual situations. The conventional methodology for emergency control is based on off-line studies for selection of the local emergency automation schemes, their locations, and their settings. Such off-line studies are usually performed for selected operating conditions based on typical cases and on previous emergencies. However, the design of remedial actions and emergency automation schemes based on previous emergencies may be ineffective for the future emergencies. In reality, the emergency situations often occur under conditions that are quite different from the study cases. With the advent of deregulation, the energy schedules are derived from financial considerations rather than strictly power operations considerations. Therefore, the types of possible contingencies increase substantially, and it would be very difficult to study with purely off-line analyses. Not only are there increased pressures from deregulation, there are new challenges imposed by the involvement of distribution systems and customers in preventing and responding to power system emergencies. For instance, with the increased number of distributed energy resource (DER) devices connected to the distribution system, distribution operations have to expand to monitor and manage (if not actually control) these DER devices. The advances of Distribution Management Systems (DMS) and Advanced Distribution Automation (ADA) make these systems available for real-time coordination of transmission and distribution operations in normal, emergency, and restorative states of the power systems. The SHG will be supported by fast data acquisition systems (Wide Area Measurement Systems and SCADA) and will include fast simulation and decision-making applications observing wide power system areas. These wide-area applications will coordinate the behavior of distributed control systems (regional EMS, DMS, Plant EMS, RAS, and relay protection). These distributed systems and actuators will perform adequately fast under emergency and later under restorative conditions following the rules and settings preset by the upper level simulation and decision-making applications. The coordination of different systems and actuators will be accomplished in a hierarchical manner. Some directive from the upper level, e.g., from the ISO/RTO EMS will be transmitted to the regional EMS, and some commands and settings will be downloaded directly to the actuators. The regional EMS will transmit some directives to the DMS and plant EMS and some commands and settings will be directly downloaded to the actuators, which are in the corresponding areas of responsibility. Some local actuators will be integrated into distributed intelligence schemes and will communicate among themselves in a peer-to-peer manner. The rules of behavior of the distributed intelligence schemes can be preset by the upper control system. (See Fig.1). The power system operators will be the Persons In Charge (PIC) for the performance of the entire SHG and will participate in the system setup and decision-making processes, which allow sufficient time for the operators to perform an educated action. Under emergency conditions, when fast and complex actions should be performed, the pre-armed and adaptive local and distributed applications and automatic schemes should be the main executors for the protection of equipment and prevention of blackouts. The future control system for the self-healing grid will differ from the current approaches by implementing significantly more automated controls instead of supervisory controls by the operators and by aiming at preservation of adequate integrity of the generation-transmission-distribution-customer system instead of self-protection of equipment only.
Figure SEQ Figure \* ARABIC 1 Integration of DMS/ADA with EMS - A real time adaptive decision -making and wide area control system is required to meet the objectives of the self-healing grid.
Figure 2 Overview of SHG Application
Figure 3 Information Flow Diagram
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
# |
Event |
Name of Process/Activity |
Description of |
Information Producer |
Information |
Name of Info Exchanged |
Additional Notes |
IntelliGrid Architecture Environments |
|
1.1A |
|
Gather model data |
Gather the network model parameters in real time, including actual data about the mode of operation and settings of the automated systems and devices. |
SCADA System |
Energy Management System |
Control Area Network Model Parameters |
High amount of data need to be handled. Common data format is an issue. Missing data is another issue. The data exchange could be report- by-change. Synchronization of data is an issue |
|
|
1.1B |
|
Receive phasor measurements |
Receive the wide-area synchronized phasor measurements |
Wide Area Measurement Systems |
Regional System Operator |
Real Time Data |
Time synchronization is required. C37.118 specifies synchronization in 1ms for some applications, 5ms for others. [2] Real time constraints: Phasor Measurement Unit delivers up to 60/50 measurements within one second in a 60/50 Hz system. |
|
|
1.2 |
|
Synchronize data |
Synchronizes and estimates the data obtained from SCADA and Wide Area Measurement Systems, identifies and corrects inaccurate data, replaces bad and missing data. Incorporates updates of parameters of controllers and control systems and outputs from other automated systems (Distribution Management System, ADA, plant EMS, neighbor area, ISO/ RTO EMS, MOS). |
Regional System Operator |
Regional System Operator |
|
Regional System Operator through State estimation/Dynamic Model Update Application. The calculation and updates should be complete within 1 second in some cases |
|
|
2.1 |
|
Collect vulnerability data |
Collect fault information, environmental data, and other sources of power system vulnerability data. |
SCADA System |
Energy Management System |
Power System Vulnerability Data |
Time-step for real-time security assessment is 1-10sec [3] |
|
|
2.2 |
|
Simulate system behavior |
Simulates the reactions of relevant automated systems based on the updated system model. |
Energy Management System |
Energy Management System |
Boundary Conditions |
In order to achieve timely results, the system configuration should be considered. Whether to conduct the simulation in centralized or distributed fashion will have significant impact on the architecture. |
|
|
2.3A |
|
Conduct steady state analyses |
Conduct steady state analyses by applying probabilistic models of power system components. |
Energy Management System |
Energy Management System |
|
|
|
|
2.3B |
|
Conduct dynamic analyses |
Conduct dynamic analyses considering multiple sets of independent and dependent contingencies. |
Energy Management System |
Energy Management System |
|
|
|
|
2.4 |
|
Update system limits |
Define the distances to system limits that will determine the severity of the contingencies. |
Energy Management System |
Energy Management System |
Transmission System Limits |
|
|
|
2.5A |
|
Assess security risk |
Assess the risk associated with each contingency. |
Energy Management System |
Energy Management System |
|
|
|
|
2.5B |
|
Assess intentional islands |
Assess the feasibility of automatically created islands and determine the root cause of insecurity. |
Energy Management System |
Energy Management System |
|
|
|
|
3.1 |
Perceived power system condition change based on Sequence 2 assessment results |
Implement preventive actions |
Activate the OPF and implements preventive actions |
Energy Management System |
Transmission Level Actuator, Distribution and Plant Control System, IED |
Controller Settings |
A huge amount of data needs to be exchanged in real time. |
|
|
3.2A |
|
Pre-arm actuators |
Pre-arm the appropriate actuators with the corrective actions for emergency events. |
Energy Management System |
Transmission Level Actuator, Distribution and Plant Control System, IED |
Controller Settings |
A huge amount of data needs to be exchanged in real time. |
|
|
3.2B |
|
Impose inhibition of control |
Impose the inhibition of control, if the analysis of hypothetical controller failure would yield much more severe consequences than the denial of the control action itself. |
Energy Management System |
Transmission Level Actuator |
Controller Settings |
|
|
|
3.2C |
|
Coordinate corrective actions |
Coordinate the corrective actions based on acceptable supply-demand balance in prospective islands, weak links between control areas, within control areas, and within islands, contractual agreements and market rules for implementation. |
Regional System Operator |
Power Marketer, Energy Management System |
Control Actions |
Bi-directional communications among Power Marketer, Regional System Operator and control area EMS. |
|
|
4.1 |
|
Power flow optimization actions |
Take power flow optimization actions. |
Energy Management System |
Power Marketer, Regional System Operator, Energy Management System, Transmission Level Actuator, Distribution and Plant Control System |
Control Actions |
|
Inter-Control Center, RTOs/Market Participants Inter-Control Center |
|
4.2A |
|
Verify system status |
Verify the execution results in closed-loop control mode |
Energy Management System |
Regional System Operator, Energy Management System, Transmission Level Actuators, Distribution and Plant Control System |
Real Time Data |
|
|
|
4.2B |
|
Detect imbalance |
Detect the generation and load imbalance. |
Energy Management System |
Regional System Operator, Energy Management System |
Real Time Data |
This function should be executed with 10-100sec. [3] |
|
|
5.1 |
Power system under emergency state |
System decomposition |
Decompose the power system into approximately self-sufficient islands. |
Regional System Operator |
Energy Management System |
|
|
|
|
5.2 |
|
Control reconfiguration |
Coordinate the interrelated control actions and resolve the conflicting control signals by the higher-level controllers. |
Regional System Operator, |
Energy Management System |
|
|
|
|
6.1 |
Power system under emergency state |
System correction |
Implement emergency control actions such as reducing generation or shedding load or both to restore the generation/load balance. |
Regional System Operator |
Regional System Operator, Energy Management System, Transmission Level Actuator, Distribution and Plant Control System |
Control Actions |
The control action must be accomplished within 0.1-1.3 seconds. [4] |
|
|
7.1 |
Post emergency state |
Prepare for restoration |
Re-synchronize the separated transmission lines (reconnect islands). |
Energy Management System
|
Regional System Operator |
Real Time Data |
System restorations based on system restoration plans prepared (authorized) by operation management |
|
|
7.2 |
|
Restoration |
Start reserve/tripped generation, control shunts and analyze the conditions for load restoration, based on generation reserves, reactive power support, and transmission transfer capacity. |
Regional System Operator |
Energy Management System |
|
System restorations based on system restoration plans prepared (authorized) by operation management |
|
Grouping (Community) |
Group Description |
|
|
Actor Name |
Actor Type (person, device, system etc.) |
Actor Description |
|
Regional System Operator |
Organization |
Organizations responsible for maintaining transmission system reliability and ensuring open access to the grid for all market participants. Regional System Operator responsibilities include: transmission planning, contingency analysis, real-time system operation, and market monitoring and management. |
|
SCADA System |
System |
Control area supervisory control and data acquisition system |
|
Energy Management System |
System |
Control area energy management system |
|
Wide Area Measurement System(s) |
System |
Phasor measurement system covers a wide power system area. |
|
Power Marketer |
Entity |
Entities who buy and sell electricity in wholesale markets. |
|
PowerSystem |
System |
Composition of interconnected transmission, generation, distribution power systems |
|
Reliability/security Coordinator |
Entity |
Entities that are responsible for the reliability of the power grid and have the authority to fulfill that responsibility within the operating region managed by an Regional System Operator |
|
ControlAreaOperator |
Entity |
Entities that manually operate and maintain control area facilities and equipment, and execute control orders. |
|
Transmission Level Actuator |
System |
Power system actuators, which are controlled directly by transmission control area SCADA/EMS |
|
Distribution and Plant Control System |
System |
Distribution management systems, distributed energy resources and generation plant control systems |
|
IED |
Device |
Intelligent electronic devices including protective relays, RTUs, sensors. |
|
Grouping (Community) |
Group Description |
|
|
Transmission Level Actuator |
Power system actuators, which are controlled directly by transmission control area SCADA/EMS |
|
|
Actor Name |
Actor Type (person, device, system etc.) |
Actor Description |
|
FACTS Device |
System |
A power electronic based system and other static equipment (such as Static Var Compensator, Thyristor Controlled Series Compensator, STATCOM) that provide control of one or more ac transmission system parameters to enhance controllability and increase power transfer capability. |
|
RAS |
Systems/devices |
Local or distributed intelligence remedial action schemes acting under emergency operating conditions in accordance with either pre-set or adaptive settings to protect equipment, prevent wide-area blackouts, and restore services. |
|
Grouping (Community) |
Group Description |
|
|
Distribution and Plant Control System |
Distribution management systems, distributed energy resources and generation plant control systems. |
|
|
Actor Name |
Actor Type (person, device, system etc.) |
Actor Description |
|
Distribution Management System |
System |
A distribution management system is a suite of application software that supports distribution system operations. |
|
ADA |
System |
Advanced distribution automation is a multifunctional system that supports remote monitoring, coordination and operation of distribution components by taking full advantage of new capabilities in power electronics, information technology and system simulation. |
|
DER Device |
Device/System |
Distributed energy resource refers to distributed generation, storage, load management, combined heat and power and other sources involved in electricity supply, both in stand-alone and interconnection applications. |
|
Plant Control System |
System |
A DCS (distributed control system) that operates a generation plant |
|
Grouping (Community) |
Group Description |
|
|
IED |
Intelligent electronic devices including protective relays, RTUs, sensors. |
|
|
Actor Name |
Actor Type (person, device, system etc.) |
Actor Description |
|
Protective Relay |
Device |
A device that responds to faults by tripping a breaker according to control logic, based on the monitoring of current and voltage values, and on communications with other protective relays. |
|
Phasor Measurement Unit |
Device |
Phasor Measurement Unit – a generic device which produces synchronized phasors from voltage and/or current inputs and synchronizing signals. |
|
Remote Terminal Unit |
Device |
Remote Terminal Unit – A device used to control/monitor/record sensor results in SCADA applications |
|
Information Object Name |
Information Object Description |
|
Real Time Data |
Information needed to be updated or exchanged in real time. These data include voltage, current phasor measurements, and frequency, rate of change of frequency, rate of change of voltage calculations. The system flow (both MW and MVAR) can be derived by the voltage and current phasors. |
|
Control Area Network Model |
One could partition the power system network model used by a control area into four subnetworks as follows: [1] Subnetwork 1. Internal transmission network is modeled in detail and it is monitored. Subnetwork 2. Unmonitored internal transmission network is modeled in detail as well. It is expected that the unmonitored internal network will be minimized in time given the growth in the utility communication infrastructure. Subnetwork 3. Adjacent external network is modeled in detail because it has significant impact on the security of the internal system. This model will be updated based on the input from adjacent control center. Subnetwork 4: Distant external network is modeled by reduced equivalents because it has less impact on the internal system. |
|
Control Area Network Model Parameters |
The parameters in the control area network model include facility status (such as generation shifts due to changes in transaction schedules, redispatch and unit outages, and the status of power plant auxiliary equipments), transmission element impedances, control device set points (such as generator and LTC settings), generation response capabilities (MW/min), breaker/switch states (these states are critical to update the topology of the control area network), and bus load. |
|
Controller Settings
|
These settings include relay protection and load shedding schemes, other remedial action schemes (RAS), and set points for FACTSDevice devices, voltage controller, phase-shifters and other controllers. |
|
Control Actions |
The control actions involve real and reactive power generators, controllable shunts in transmission, FACTSDevice devices, phase shifters, Load Tap Changers (LTCs), transmission sectionalizing, and distribution automation functions like Volt/Var control, feeder reconfiguration, and load management functions. |
|
Transmission System Limits |
The transmission system limits include the determination of the thermal limits, available capacity, economic constraints, interface limits, steady state, transient and small signal voltage stability limits. |
|
PowerSystem Vulnerability Data |
The power system vulnerability data include fault information, environmental data, and other sources of power system vulnerability data |
|
Boundary Conditions |
Refer to the power system conditions such as voltage, current, and phase angles at the boundary of the network model that is used to simulate internal system behavior. |
|
Activity/Service Name |
Activities/Services Provided |
|
Dynamic Model Update |
EMS system performs dynamic model update, state estimation, bus load forecast. Dynamic Model Update sub-function updates the system model to reflect the status of the transmission and generation equipment and critical operational parameters in real-time, based on gathering the wide-area synchronized phasor measurements and estimating the missing and inaccurate data; The bus-load model update and forecast is supported by the distribution operation model and analysis; In a multi-area interconnected system, each control area updates its model and exchanges the full or reduced model with neighbor areas. |
|
Optimal Power Flow (OPF) |
EMS system performs optimal power flow analysis, recommends optimization actions: Optimal Power flow provides operations personnel with recommended system changes to correct limit violations while optimizing the system for pre-defined objectives including minimizing losses, maximizing MW capacity via optimal Mvar control, minimizing the number of controls moved, or minimizing the movement in all available controls. OPF uses bus load models supported by Distribution Management System applications and includes the bus dispatchable load in its variables. OPF issues sets of actions for multiple local controllers, distributed intelligence schemes, and Distribution Management System applications. |
|
Stability Analyses |
EMS system performs stability study of network to: Determine the dynamic stability limits and Determine whether network is operating close to limits of stability |
|
Real Time Contingency Analysis |
EMS system performs contingency analysis (CA), recommends preventive and corrective actions: Contingency Analysis and post-contingency analysis of remedial action provides the ability to correct problems caused by harmful disturbances Result from contingency analysis is analyzed by post contingency optimal power flow The post contingency optimal power flow simulates the behavior of relay protection, load shedding schemes, other remedial action schemes (RAS), FACTS devices, voltage controllers, phase-shifters, and other local controllers. Status and set points are obtained from the dynamic model update, and are applied to probabilistic models of power system operations. CA sub- function considers multiple sets of independent and dependent contingencies and provides risk assessment and severity evaluation of the sets CA sub-function develops and implements preventive actions to reduce the risk and severity of anticipated contingencies, including generation-constrained optimal power flow implemented in closed-loop mode, blocking of some controls, and pre-arming of RAS and other distributed intelligence schemes. CA checks the success of execution of the preventive actions and changes the input criteria in case of failure. This activity is further elaborated in the “Contingency Analysis” use cases. |
|
Real-time Emergency Operations (system protection level)
|
Protects power system facilities from damage Automatically sheds load under conditions of low frequency, based on pre-defined or real-time computed settings, modes of operations, and priorities of connected groups of customers. Should be made adaptive to the conditions of the interconnected self-healing grid and non-intentional and intentional islanding. Automatically sheds or reduces generation to preserve load balance over the transmission lines and power system stability Automatically sheds load under conditions of low voltage, based on pre-defined or real-time computed settings, modes of operations, and priorities of connected groups of customers. Should be made adaptive to the conditions of the interconnected self-healing grid and non-intentional and intentional islanding. Automatically sheds load under specific conditions, based on pre-defined or real-time computed settings, modes of operations, and priorities of connected groups of customers. Should be made adaptive to the conditions of the interconnected self-healing grid and non-intentional and intentional islanding. Restores load based on real-time power system restoration capabilities. Should be made adaptive to the changing conditions. Fast control of LTC to prevent voltage instability (Fast = 10 to 100ms – depending on the size of the control area) Fast control of shunts to prevent voltage instability Fast control of series compensation devices to prevent system instability and critical overloads Balanced separation of the power system into near balanced islands to prevent cascading development of severe contingencies into wide-area blackout. Filters and summarizes multiple alarms into a conclusive message about the core cause of the contingency. Uses centralized alarm reduction based on events from multiple substations Automatically locates faults based on high-speed synchronized measurements Provides field crews with real-time information by using mobile computing Provides pre-fault, fault, and post-fault data for fault location, alarm processing, and analyses of the emergency operating conditions. Provides other EMS applications and the operators with near-real time stability limits Changes the modes of operation, the settings, and the priorities of RAS, based on evaluation of the developing or expected emergency conditions. Issues summary requirements to DISCOs for changing distribution operations, based on evaluation of the developing or expected emergency conditions. Changes the modes of operation, the objectives, constraints, and the priorities of Distribution Management System Volt/var control application, based on evaluation of the developing or expected emergency conditions Changes the modes of operation, the objectives, constraints, and the priorities of Distribution Management System feeder reconfiguration application, based on evaluation of the developing or expected emergency conditions Issues summary requirements (amount and timing) to DISCOs for activating the interruptible/curtailable load systems. DISCO defines the specifics of implementation. Issues summary requirements (amount and timing) to DISCOs for activating the direct load control systems. DISCO defines the specifics of implementation. Issues summary requirements (amount and timing) to DISCOs for activating the DER Device reserves. DISCO defines the specifics of implementation. Issues summary requirements (amount and timing) to DISCOs for activating the load managements systems. DISCO defines the specifics of implementation. This activity is further elaborated in the “Emergency Operation” use cases. |
|
System Restoration
|
Operators perform system restorations based on system restoration plans prepared (authorized) by operation management. System restoration to normal state, in addition to automatic restoration, if needed. Unit starts, auto-synchronization, load energization, based on the power system recovery capability monitored and coordinated by EMS This activity is further elaborated in the “Advanced Auto Restoration” use case. |
|
IntelliGrid Architecture
|