AU2021103722A4 - A power flow control method for ac-dc hybrid power grid - Google Patents

A power flow control method for ac-dc hybrid power grid Download PDF

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AU2021103722A4
AU2021103722A4 AU2021103722A AU2021103722A AU2021103722A4 AU 2021103722 A4 AU2021103722 A4 AU 2021103722A4 AU 2021103722 A AU2021103722 A AU 2021103722A AU 2021103722 A AU2021103722 A AU 2021103722A AU 2021103722 A4 AU2021103722 A4 AU 2021103722A4
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control parameters
power grid
system control
power flow
optimization
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AU2021103722A
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A. SuryaPrakasa Rao
B. K. Karunakar Rao
R. Satish
K. Naga Sujatha
K. Vaisakh
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Rao BKKarunakar
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Rao BKKarunakar
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/021—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a variable is automatically adjusted to optimise the performance
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/021—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a variable is automatically adjusted to optimise the performance
    • G05B13/022—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a variable is automatically adjusted to optimise the performance using a perturbation of the variable
    • G05B13/0225—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a variable is automatically adjusted to optimise the performance using a perturbation of the variable being a periodic perturbation
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05F—SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
    • G05F5/00—Systems for regulating electric variables by detecting deviations in the electric input to the system and thereby controlling a device within the system to obtain a regulated output
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144—Demand-response operation of the power transmission or distribution network
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D3/00—Control of position or direction
    • G05D3/12—Control of position or direction using feedback
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/58—The condition being electrical
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30—Reactive power compensation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Electromagnetism (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

A POWER FLOW CONTROL METHOD FOR AC-DC HYBRID POWER GRID Aspects of the present disclosure relate to the method (100) for power flow optimization of AC-DC hybrid power grid. With the rise of the HVDC system which are used for the 5 transmission of the power over very long distances the requirement of stable power grid has increased. The stabilization of the power grid can be obtained by the optimizing the power flow in the SC-DC hybrid power grid. For the obtaining (102) this optimal power flow the active automatic control module (202) is employed for the collection of the data from the power grid. Then the data is optimized (106) by using the tide optimization computing 10 module (206). After optimization the optimized parameters are implemented (108) in the power grid. (FIG. 1 will be the reference figure) - 10- 100 obtaining periodically system control parameters 102 sending the system control parameters obtained to a pre-established 104 optimal power flow module calculating optimized system control parameters 106 r 108 implementing the optimized system control parameters in the power grid FIG. 1 Flow chart of method power flow optimization of AC-DC hybrid power grid -11-

Description

obtaining periodically system control parameters 102
sending the system control parameters obtained to a pre-established 104 optimal power flow module
calculating optimized system control parameters 106
r 108 implementing the optimized system control parameters in the power grid
FIG. 1 Flow chart of method power flow optimization of AC-DC hybrid power grid
A POWER FLOW CONTROL METHOD FOR AC-DC HYBRID POWER GRID TECHNICAL FIELD
[0001] The present disclosure relates to a power flow control method and in particular to an optimal power flow control method for AC-DC hybrid power grid.
BACKGROUND
[0002] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] With the development of the power grid and enhancement of the technology related to the High Voltage Direct Current (HVDC) AC-DC hybrid power grids are becoming common. HVDC has been widely used in modern power grids to realize long-distance transmission of electrical energy at high voltage as with the rise in the voltage the power losses decrease. Economic optimization operation has become one of the key topics in domestic and foreign researches.
[0004] Efforts have been made in in the related prior art to provide different solutions for providing effective and optimal power flow method. For example, United Patent no. US20070100506A1 describes a method for controlling the power flow of an electric power generation system includes generating or dissipating electric power to maintain a predetermined grid voltage and frequency. The electric power is transmitted to a grid; and the current and voltage of the electric power thus transmitted are sensed. The frequency of the grid and the power transmitted to the grid is determined based on the sensed current or voltage. A grid-side converter is then controlled to regulate the voltage and frequency of an electric grid via a compensating circuit when the sensed voltage is outside a predetermined voltage range or the determined frequency is outside a predetermined frequency range.
[00051 Therefor the present disclosure overcomes the above mentioned problem associated with the traditionally available method or system, any of the above mentioned invention can be used with the presented disclosed technique with or without modification.
OBJECTS OF THE INVENTION
[0006] It is an object of the present disclosure which provides a system and method that does not allow any tampering/manipulation in a defined part of the memory, and/or to the software associated with the device.
[0007] The object of the present disclosure is to provide optimised power flow conditions.
[0008] Still another object of the present disclosure is to provide for a stable grid.
SUMMARY
[0009] The present concept of the present invention is directed towards a method for power flow optimization of AC-DC hybrid power grid, said method involving the steps of: obtaining periodically system control parameters; sending the system control parameters obtained to a pre-established optimal power flow module; calculating optimized system control parameters based on the obtained system control parameters; implementing the optimized system control parameters in the power grid after calculating.
[0010] In an aspect, for obtaining the system control parameters is done by an active automatic control module, wherein the active automatic control module collects the control parameters such as operating data of generators, AC buses and DC nodes in the AC-DC hybrid power grid. The pre-established optimal power flow module uses a tide optimization computing module for optimization of the system control parameters, wherein the tide optimization computing module enables the power grid to reduce whole network loss and operating cost based on a real-time power flow, wherein the real-time power flow is calculated using the system control parameters. The optimized control parameters are sent to the active automatic control module, wherein the active automatic control module changes the system control parameters to the optimized system control parameters. The active automatic control module obtains data related to the system control parameters every 5 minutes.
[00111 One should appreciate that although the present disclosure has been explained with respect to a defined set of functional modules, any other module or set of modules can be added/deleted/modified/combined and any such changes in architecture/construction of the proposed system are completely within the scope of the present disclosure. Each module can also be fragmented into one or more functional sub-modules, all of which also completely within the scope of the present disclosure.
[0012] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.
BRIEF DESCRIPTION OF THE DRAWINGS
[0013] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0014] FIG. 1 illustrates an exemplary flow chart of method power flow optimization of AC-DC hybrid power grid.
[0015] FIG. 2 illustrates an exemplary block diagram of system for power flow optimization.
DETAILED DESCRIPTION
[0016] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.
[00171 Embodiments of the present invention include various steps, which will be described below. The steps may be performed by hardware components or may be embodied in machine-executable instructions, which may be used to cause a general-purpose or special purpose processor programmed with the instructions to perform the steps. Alternatively, steps may be performed by a combination of hardware, software, and firmware and/or by human operators.
[0018] If the specification states a component or feature "may", "can", "could", or "might" be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0019] Exemplary embodiments will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. These embodiments are provided so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those of ordinary skill in the art. Moreover, all statements herein reciting embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future (i.e., any elements developed that perform the same function, regardless of structure).
[0020] In an embodiment of the present disclosure, FIG. 1 illustrates an exemplary method (100) for power flow optimization of AC-DC hybrid power grid. The said method (100) comprises steps of: obtaining (102) periodically system control parameters; sending (104) the system control parameters obtained to a pre-established optimal power flow module (204); calculating (106) optimized system control parameters based on the obtained system control parameters; implementing (108) the optimized system control parameters in the power grid after calculating (106).
[0021] In an aspect of the present invention, data related to the various system parameters is collected (102) automatically using the active automatic control module (202). The operating data of the AC-DC hybrid power system includes the active and reactive power of the generators, the operating voltage and the phase angle of the AC bus, the operating voltage of the DC node.
[0022] In another aspect of the present invention, the data collected by the active automatic control module (202) is sent (104) to the pre-established optimal flow module. The pre-established optimal flow module uses a tide optimization computing module (206) for optimization of the system control parameters, wherein the tide optimization computing module (206) enables the power grid to reduce whole network loss and operating cost based on a real-time power flow, wherein the real-time power flow is calculated using the system control parameters.
[0023] In another aspect of the present invention, the data is given to pre-established optimal flow module for preventive correction control and safety constraints to obtain the optimal optimized system control parameters.
[0024] In yet another aspect of the present invention, the tide optimization computing module (206) can be the minimum with the whole network loss minimization or operating cost (106) according to the whole network Real-time Power Flow distribution situation. For optimization (106) aim, direct current optimized operation point, conventional power unit optimization operating point and power network key node electricity are calculated by optimization operating point.
[0025] In yet another aspect of the present invention, the Tide optimization computing module (206), it is responsible for the whole network tide optimization and calculates and optimum results output. Tide optimization computing module (206) periodically obtains each system control parameters information, after optimization calculates, then will optimization. As a result, each system is sent to, is implemented to coordinate control by each function system.
[0026] In yet another aspect of the present invention, the optimal optimized system control parameters include: the generator active and reactive power and the load optimal rescheduling amount including the load active and reactive power. Also, the optimal optimized system control parameter includes the optimized operating data of the AC-DC hybrid power system includes the active and reactive power of the generators, the operating voltage and the phase angle of the AC bus, the operating voltage of the DC node.
[00271 In yet another aspect of the present invention, the optimized system control parameters are sent to the power grid for implementation (108) by the active automatic control module (202).
[0028] In yet another aspect of the present invention, the optimized control parameters are sent to the active automatic control module (202), wherein the active automatic control module (202) changes the system control parameters to the optimized system control parameters.
In yet another aspect of the present invention, the active automatic control module (202) obtains data related to the system control parameters every 5 minutes.
[0029] In yet another aspect of the present invention, the active automatic control module (202) is also responsible for the active modulation to control extra-high voltage direct-current equipment in the range of the power network.
[0030] In yet another aspect of the present invention, every part of the power grid can be given converted into a control function. Each function system is given, the control function as corresponding to being implemented each function system, meets power grid security, the need of economical operation.
[00311 In yet another aspect of the present invention, in case of any fault with the tide optimization the error signal can be seen to the active automatic control module (202).
[0032] In yet another aspect of the present invention, FIG.2 illustrates the exemplary system (200) for power flow optimization.
[0033] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

Claims (5)

I/We Claim:
1. A method (100) for power flow optimization of AC-DC hybrid power grid, said method (100) involving the steps of:
obtaining (102) periodically system control parameters;
sending (104) the system control parameters obtained to a pre established optimal power flow module (204);
calculating (106) optimized system control parameters based on the obtained (102) system control parameters;
implementing (108) the optimized system control parameters in the power grid after calculating (106).
2. The method (100) for power flow optimization of AC-DC hybrid power grid as claimed in claim 1, wherein for obtaining (102) the system control parameters is done by an active automatic control module (202), wherein the active automatic control module (202) collects (102) the control parameters such as operating data of generators, AC buses and DC nodes in the AC-DC hybrid power grid.
3. The method (100) for power flow optimization of AC-DC hybrid power grid as claimed in claim 1, wherein the pre-established optimal power flow module (204) uses a tide optimization computing module (206) for optimization (106) of the system control parameters, wherein the tide optimization computing module (206) enables the power grid to reduce whole network loss and operating cost based on a real-time power flow, wherein the real-time power flow is calculated (106) using the system control parameters.
4. The method (100) for power flow optimization of AC-DC hybrid power grid as claimed in claim 1, wherein the optimized control parameters are sent to the active automatic control module (202), wherein the active automatic control module (202) changes (108) the system control parameters to the optimized system control parameters.
5. The method (100) for power flow optimization of AC-DC hybrid power grid as claimed in claim 1, wherein the active automatic control module (202) obtains (102) data related to the system control parameters every 5 minutes.
Application no.: Total no. of sheets: 2 29 Jun 2021 2021103722 Applicant name: Page 1 of 2
FIG. 1 Flow chart of method power flow optimization of AC-DC hybrid power grid
Application no.: Total no. of sheets: 2 29 Jun 2021 2021103722 Applicant name: Page 2 of 2
FIG. 2 Block diagram of system for power flow optimization
AU2021103722A 2021-06-29 2021-06-29 A power flow control method for ac-dc hybrid power grid Ceased AU2021103722A4 (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116154834A (en) * 2022-09-07 2023-05-23 东南大学溧阳研究院 Hierarchical control method based on multi-terminal direct current system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116154834A (en) * 2022-09-07 2023-05-23 东南大学溧阳研究院 Hierarchical control method based on multi-terminal direct current system

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