CN104794588A - Microgrid-large power grid information interaction method and device - Google Patents

Microgrid-large power grid information interaction method and device Download PDF

Info

Publication number
CN104794588A
CN104794588A CN201510236250.XA CN201510236250A CN104794588A CN 104794588 A CN104794588 A CN 104794588A CN 201510236250 A CN201510236250 A CN 201510236250A CN 104794588 A CN104794588 A CN 104794588A
Authority
CN
China
Prior art keywords
power grid
microgrid
bulk power
micro
capacitance sensor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510236250.XA
Other languages
Chinese (zh)
Inventor
赖来利
许方园
孙强
王雪
王林钰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
State Grid Energy Research Institute Co Ltd
Original Assignee
State Grid Corp of China SGCC
State Grid Energy Research Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, State Grid Energy Research Institute Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201510236250.XA priority Critical patent/CN104794588A/en
Publication of CN104794588A publication Critical patent/CN104794588A/en
Pending legal-status Critical Current

Links

Classifications

    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S50/00Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/10Energy trading, including energy flowing from end-user application to grid

Landscapes

  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a microgrid-large power grid information interaction method and device. The method comprises the following steps: when confirming the existence of emergency active and reactive requirements, sending a reverse buying request including electric quantity reference price to each microgrid energy resource management system, and receiving request response information fed back by the microgrid energy resource management system and including microgrid active and reactive emergency send-out capability and send-out price; acquiring pre-stored grid position of each microgrid, as well large power grid parameters and constraint conditions, and establishing a large power grid model with the aim of the lowest large power grid emergency buying cost; solving the large power grid model to obtain microgrid objects selected for large power grid reverse buying and buying quantity of each microgrid; after buying the electricity according to the solution to the large power grid model, if the frequency and voltage of the large grid power can reach a stable state, sending the solution to the large power grid model to the corresponding microgriod energy resource management system. By the microgrid-large power grid information interaction method, the microgrid is embraced into the electricity business system of the power grid, thereby improving the energy utilization efficiency.

Description

A kind of micro-capacitance sensor and bulk power grid information interacting method and device
Technical field
The application relates to technical field of power systems, more particularly, relates to a kind of micro-capacitance sensor and bulk power grid information interacting method and device.
Background technology
Micro-capacitance sensor (abbreviation microgrid) integrated appearance is one of electric system electricity consumption end future developing trend.Different from the pure power load of traditional electricity consumption end, micro-capacitance sensor be one can with the micro power network of Distributed-generation equipment, energy storage device, electric motor car and load.By carrying energy management system and Small Extension Node. Communications network, micro-capacitance sensor carries out cooperation control to the variable load under linchpin, distributed power generation, energy storage device electric discharge and electric automobile discharge and recharge, realizes the optimized operation in micro-capacitance sensor.
At present, micro-capacitance sensor carries out networking operation by a kind of more open intergration model and traditional bulk power grid.Under the intergration model of present stage, microgrid is not included in conventional electric power supply system comprehensively.When bulk power grid is in emergency operating pattern, namely also, when bulk power grid cannot meet voltage or frequency stable, in prior art, bulk power grid can buy power to generator unit, or user is rationed the power supply, the behavior such as power-off, affect the optimal control of electric system, reduce the utilization factor of the energy.
Summary of the invention
In view of this, this application provides a kind of micro-capacitance sensor and bulk power grid information interacting method and device, for solving the low problem of efficiency of energy utilization that existing micro-capacitance sensor and the loose intergration model of bulk power grid cause.
To achieve these goals, the existing scheme proposed is as follows:
A kind of micro-capacitance sensor and bulk power grid information interacting method, comprising:
The conventional step-length d=1 of initialization is set;
Judge whether to there is urgent meritorious and reactive requirement;
If not, then make conventional step-length add 1, described in returning, judge whether to there is urgent meritorious and reactive requirement step;
If so, send to each microgrid energy management system and oppositely buy request, describedly oppositely buy request and comprise and oppositely buy meritorious and capacity of idle power reference price;
Receive the request echo message of each microgrid energy management system feedback, described request echo message comprises that microgrid is meritorious and idle emergently to be sent ability and send the meritorious and idle output quality of power supply of price, microgrid;
Obtain prestore the rack position of each microgrid, the structural parameters of bulk power grid own and safe operation of electric network constraint, the constraint of region policy;
Utilize described request echo message, the rack position of described each microgrid, the structural parameters of described bulk power grid own, the constraint of described safe operation of electric network and the constraint of described region policy, set up with the minimum bulk power grid model for target of the urgent buying cost of bulk power grid;
Solve described bulk power grid model, obtain protecting the bulk power grid model solution of the amount of buying of microgrid object selected by bulk power grid reverse power purchase and each microgrid object;
After judging to buy electricity according to described bulk power grid model solution, when the frequency and voltage of bulk power grid can reach steady state (SS), described bulk power grid model solution is mail to corresponding micro-capacitance sensor energy management system;
Make conventional step-length add 1, described in returning, judge whether to there is urgent meritorious and reactive requirement step.
Preferably, described described request echo message, the rack position of described each microgrid, the structural parameters of described bulk power grid own, the constraint of described safe operation of electric network and the described region policy of utilizing retrains, set up with the minimum bulk power grid model for target of the urgent buying cost of bulk power grid, comprising:
Determine objective function: the urgent buying cost of min bulk power grid=emergent active energy buying cost+emergent capacity of idle power buying cost+assistant service cost, wherein,
Assistant service cost is preset value;
Determine that constraint condition is:
Utilize rack power flow algorithm to calculate operation of power networks parameter, the operation of power networks parameter calculating gained must meet operation of power networks restriction on the parameters, and described operation of power networks restriction on the parameters comprises overload constraint, voltage constraint, frequency constraint and harmonic wave constraint.
Preferably, described in solve described bulk power grid model, comprising:
Gradient descent method, genetic algorithm, particle cluster algorithm, ant group algorithm, artificial bee colony algorithm or immune algorithm is utilized to solve described bulk power grid model.
A kind of micro-capacitance sensor and bulk power grid information interacting method, comprising:
The conventional step-length d=1 of initialization is set;
Judge whether to receive that bulk power grid operation control system sends oppositely buys request, describedly oppositely buy request and comprise and oppositely buy meritorious and capacity of idle power reference price;
If not, then make conventional step-length add 1, described in returning, judge whether to receive that bulk power grid operation control system sends oppositely buys request step;
If so, then oppositely buy request according to described, set up with microgrid meet an urgent need benefit optimum be the micro-capacitance sensor model of target;
Solve described micro-capacitance sensor model, judge whether the micro-capacitance sensor solving gained benefit of meeting an urgent need reaches micro-capacitance sensor response lag;
If not, then make conventional step-length add 1, described in returning, judge whether to receive that bulk power grid operation control system sends oppositely buys request step;
If so, then according to the quality of power supply and history reverse active energy price and reverse capacity of idle power price, oppositely buy meritorious and capacity of idle power reference price finely tune described, obtain that microgrid is meritorious and idle emergently sends price;
Calculate the meritorious of this microgrid and the idle output quality of power supply and meritorious and idlely emergently send ability, and by result of calculation and this microgrid is meritorious and idle emergently sends price and mail to bulk power grid operation control system;
Judge that in Preset Time, whether receive the emergent of bulk power grid operation control system transmission buys decision and the amount of buying information;
If not, then make conventional step-length add 1, described in returning, judge whether to receive that bulk power grid operation control system sends oppositely buys request step;
If so, then according to the control signal of the described amount of buying information adjustment to each equipment of this microgrid subordinate;
Make conventional step-length add 1, described in returning, judge whether to receive that bulk power grid operation control system sends oppositely buys request step.
Preferably, describedly oppositely buy request according to described, set up with microgrid meet an urgent need benefit optimum be the micro-capacitance sensor model of target, comprising:
Determine objective function: max microgrid is met an urgent need benefit=emergent distributed reverse active energy income+emergent Demand Side Response active energy income+emergent electric motor car and the income+emergent Demand Side Response capacity of idle power income+emergent electric motor car of energy storage electric discharge active energy and energy storage capacity of idle power income, wherein
Wherein, time point distributed maximum residual generating capacity is the difference of microgrid maximum distribution formula generating capacity and distributed generating capacity;
Wherein, time point maximum urgent need side response active power is preset value;
Wherein, the maximum urgent electric discharge active power of time point is determined by the electricity of depositing of current time electric motor car and energy storage device;
Wherein, time point maximum urgent need side response reactive power is preset value;
Wherein, the urgent reactive power of time point largest battery is determined by the battery parameter of electric motor car and energy storage device.
Preferably, described in solve described micro-capacitance sensor model, comprising:
Gradient descent method, genetic algorithm, particle cluster algorithm, ant group algorithm, artificial bee colony algorithm or immune algorithm is utilized to solve described micro-capacitance sensor model.
A kind of micro-capacitance sensor and bulk power grid information interactive device, be applied to bulk power grid operation control system, this device comprises:
First step-length setting unit, for arranging the conventional step-length d=1 of initialization;
, there is urgent meritorious and reactive requirement for judging whether in urgent need judging unit, if not, then performing following first step-length increases unit, if so, then performs followingly to buy request transmitting unit;
First step-length increases unit, for making conventional step-length add 1, and returns described urgent need judging unit;
Buying request transmitting unit, oppositely buying request for sending to each microgrid energy management system, describedly oppositely buy request and comprise and oppositely buy meritorious and capacity of idle power reference price;
Feedback information receiving element, for receiving the request echo message of each microgrid energy management system feedback, described request echo message comprises that microgrid is meritorious and idle emergently to be sent ability and send the meritorious and idle output quality of power supply of price, microgrid;
Out of Memory acquiring unit, for obtaining the rack position of each microgrid prestored, the structural parameters of bulk power grid own and safe operation of electric network constraint, the constraint of region policy;
Unit set up by bulk power grid model, for utilizing described request echo message, the rack position of described each microgrid, the structural parameters of described bulk power grid own, the constraint of described safe operation of electric network and the constraint of described region policy, set up with the minimum bulk power grid model for target of the urgent buying cost of bulk power grid;
Unit asked for by bulk power grid model, for solving described bulk power grid model, obtains protecting the bulk power grid model solution of the amount of buying of microgrid object selected by bulk power grid reverse power purchase and each microgrid object;
Bulk power grid model solution transmitting element, for after judging to buy electricity according to described bulk power grid model solution, when the frequency and voltage of bulk power grid can reach steady state (SS), described bulk power grid model solution is mail to corresponding micro-capacitance sensor energy management system, and return the described first step-length increase unit of execution.
Preferably, described bulk power grid model is set up unit and is comprised:
Bulk power grid objective function determining unit, for determining objective function: the urgent buying cost of min bulk power grid=emergent active energy buying cost+emergent capacity of idle power buying cost+assistant service cost, wherein,
Assistant service cost is preset value;
Bulk power grid constraint condition determining unit, for determining that constraint condition is:
Utilize rack power flow algorithm to calculate operation of power networks parameter, the operation of power networks parameter calculating gained must meet operation of power networks restriction on the parameters, and described operation of power networks restriction on the parameters comprises overload constraint, voltage constraint, frequency constraint and harmonic wave constraint.
A kind of micro-capacitance sensor and bulk power grid information interactive device, be applied to microgrid energy management system, comprise:
Second step-length setting unit, for arranging the conventional step-length d=1 of initialization;
Buy request judging unit, for judging whether to receive, bulk power grid operation control system sends oppositely buys request, describedly oppositely buy request and comprise and oppositely buy meritorious and capacity of idle power reference price, if not, then perform following second step-length and increase unit, if so, then perform following micro-capacitance sensor model and set up unit;
Second step-length increases unit, for making conventional step-length add 1, returning described in execution and buying request judging unit;
Unit set up by micro-capacitance sensor model, for oppositely buying request according to described, set up with microgrid meet an urgent need benefit optimum be the micro-capacitance sensor model of target;
Micro-capacitance sensor model solution unit, for solving described micro-capacitance sensor model;
Microgrid is met an urgent need benefit judging unit, and for and the micro-capacitance sensor judging to solve gained is met an urgent need, whether benefit reaches micro-capacitance sensor response lag, if not, then performing described second step-length increases unit, if so, then performs followingly to send price determining unit;
Send price determining unit, for according to the quality of power supply and history reverse active energy price and reverse capacity of idle power price, oppositely buy meritorious and capacity of idle power reference price finely tune described, obtain that microgrid is meritorious and idle emergently sends price;
Information feedback unit, for calculating the meritorious of this microgrid and the idle output quality of power supply and meritorious and idlely emergently sending ability, and by result of calculation and this microgrid is meritorious and idle emergently sends price and mail to bulk power grid operation control system;
Buy decision judging unit, for judging that whether receiving the emergent of bulk power grid operation control system transmission in Preset Time buys decision and the amount of buying information, if not, then performing described second step-length increases unit, if so, following control signal adjustment unit is then performed;
Control signal adjustment unit, for adjusting the control signal to each equipment of this microgrid subordinate according to the described amount of buying information, and returns the described second step-length increase unit of execution.
Preferably, described micro-capacitance sensor model is set up unit and is comprised:
Micro-capacitance sensor objective function determining unit, for determining objective function: max microgrid is met an urgent need benefit=emergent distributed reverse active energy income+emergent Demand Side Response active energy income+emergent electric motor car and the income+emergent Demand Side Response capacity of idle power income+emergent electric motor car of energy storage electric discharge active energy and energy storage capacity of idle power income, wherein
Wherein, time point distributed maximum residual generating capacity is the difference of microgrid maximum distribution formula generating capacity and distributed generating capacity;
Wherein, time point maximum urgent need side response active power is preset value;
Wherein, the maximum urgent electric discharge active power of time point is determined by the electricity of depositing of current time electric motor car and energy storage device;
Wherein, time point maximum urgent need side response reactive power is preset value;
Wherein, the urgent reactive power of time point largest battery is determined by the battery parameter of electric motor car and energy storage device.
As can be seen from above-mentioned technical scheme, the micro-capacitance sensor that the embodiment of the present application provides and bulk power grid information interacting method, when the urgent power purchase of bulk power grid, utilize micro-capacitance sensor distance load center nearer, the advantage that the reverse power supply cost ratio generator unit provided is lower, microgrid is included in the electric power dealing system of electrical network, improve efficiency of energy utilization.Meanwhile, different according to rack position, oppositely the ability of power supply is different with the quality of power supply, and the otherness price of oppositely power supply is different, and operation of power networks control center selects optimum microgrid object oppositely to power.Meanwhile, the application is minimum with the urgent buying cost of electrical network, and power network safety operation is target is optimized, and ensure that benefit and the operation of electrical network.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only the embodiment of the application, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
The manner of execution process flow diagram of bulk power grid side in Fig. 1 a kind of micro-capacitance sensor and bulk power grid information interactive process disclosed in the embodiment of the present application;
The structural representation of bulk power grid side in Fig. 2 a kind of operation of power networks control system and microgrid energy management system reciprocal process disclosed in the embodiment of the present application;
The manner of execution process flow diagram of micro-capacitance sensor side in Fig. 3 a kind of micro-capacitance sensor and bulk power grid information interactive process disclosed in the embodiment of the present application;
The structural representation of micro-capacitance sensor side in Fig. 4 a kind of operation of power networks control system and microgrid energy management system reciprocal process disclosed in the embodiment of the present application;
Fig. 5 is a kind of disclosed in the embodiment of the present application is applied to micro-capacitance sensor in bulk power grid operation control system and bulk power grid information interactive device structural representation;
Fig. 6 is a kind of disclosed in the embodiment of the present application is applied to micro-capacitance sensor in microgrid energy management system and bulk power grid information interactive device structural representation.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present application, be clearly and completely described the technical scheme in the embodiment of the present application, obviously, described embodiment is only some embodiments of the present application, instead of whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all belong to the scope of the application's protection.
See the manner of execution process flow diagram of bulk power grid side in Fig. 1, Fig. 1 a kind of micro-capacitance sensor and bulk power grid information interactive process disclosed in the embodiment of the present application.
As shown in Figure 1, be introduced the method with bulk power grid operation control system side, the method comprises:
Step S100, the conventional step-length d=1 of initialization is set;
Particularly, typical conventional step-length d can 1 second or other duration.
Step S110, judge whether to there is urgent meritorious and reactive requirement, if not, then perform step S120, if so, then perform step S130;
Step S120, make conventional step-length add 1, and return and perform step S110;
Step S130, to send to each microgrid energy management system and oppositely buy request;
Particularly, when bulk power grid needs to micro-capacitance sensor power purchase, send oppositely buy request to each micro-capacitance sensor energy management system, this is oppositely bought request and comprises and oppositely buy meritorious and capacity of idle power reference price.
Step S140, receive each microgrid energy management system feedback request echo message;
Particularly, described request echo message comprises that microgrid is meritorious and idle emergently to be sent ability and send the meritorious and idle output quality of power supply of price, microgrid.Be understandable that, it is different that microgrid feedback meritorious and idle sends the reference price that price can point out from bulk power grid.Meritorious and the idle price that sends of microgrid feedback is the price that micro-capacitance sensor is made according to number one.
Step S150, the rack position obtaining each microgrid prestored, the structural parameters of bulk power grid own and safe operation of electric network retrain, the constraint of region policy;
Particularly, except above-mentioned micro-capacitance sensor feedack, the present embodiment also needs from electric network database, obtain the information such as the rack position of each microgrid, the structural parameters of electrical network itself and safe operation of electric network constraint, region policy constraint.
Step S160, set up with the minimum bulk power grid model for target of the urgent buying cost of bulk power grid;
Particularly, utilize described request echo message, the rack position of described each microgrid, the structural parameters of described bulk power grid own, the constraint of described safe operation of electric network and the constraint of described region policy, set up with the minimum bulk power grid model for target of the urgent buying cost of bulk power grid.
Step S170, solve described bulk power grid model, obtain bulk power grid model solution: the amount of buying of the microgrid object selected by the reverse power purchase of bulk power grid and each microgrid object;
Particularly, by bulk power grid model solution, bulk power grid can be obtained and select to which or multiple micro-capacitance sensor power purchase, and correspondence buy electricity.
Step S180, after judging to buy electricity according to described bulk power grid model solution, when the frequency and voltage of bulk power grid can reach steady state (SS), described bulk power grid model solution is mail to corresponding micro-capacitance sensor energy management system, and return and perform step S120.
Particularly, by to bulk power grid model solution, obtain the amount of buying of microgrid object selected by the reverse power purchase of bulk power grid and each microgrid object, and then can judge after buying electricity according to this amount of buying, whether the frequency and voltage of bulk power grid can reach steady state (SS), if steady state (SS) can be reached, then the bulk power grid model solution calculating gained is issued corresponding micro-capacitance sensor energy management system.
The micro-capacitance sensor that the embodiment of the present application provides and bulk power grid information interacting method, when the urgent power purchase of bulk power grid, utilize micro-capacitance sensor distance load center nearer, the advantage that the reverse power supply cost ratio generator unit provided is lower, microgrid is included in the electric power dealing system of electrical network, improve efficiency of energy utilization.Meanwhile, different according to rack position, oppositely the ability of power supply is different with the quality of power supply, and the otherness price of oppositely power supply is different, and operation of power networks control center selects optimum microgrid object oppositely to power.Meanwhile, the application is minimum with the urgent buying cost of electrical network, and power network safety operation is target is optimized, and ensure that benefit and the operation of electrical network.
Optionally, above-mentioned steps S160, utilize described request echo message, the rack position of described each microgrid, the structural parameters of described bulk power grid own, described safe operation of electric network constraint and described region policy constraint, set up with the process of the minimum bulk power grid model for target of the urgent buying cost of bulk power grid, can with reference to as follows:
Determine objective function: the urgent buying cost of min bulk power grid=emergent active energy buying cost+emergent capacity of idle power buying cost+assistant service cost, wherein,
Assistant service cost is preset value;
Determine that constraint condition is:
Utilize rack power flow algorithm to calculate operation of power networks parameter, the operation of power networks parameter calculating gained must meet operation of power networks restriction on the parameters, and described operation of power networks restriction on the parameters comprises overload constraint, voltage constraint, frequency constraint and harmonic wave constraint.
Optionally, operation of power networks parameter constraints can also be increased: region policy retrains.
The above-mentioned process utilizing rack power flow algorithm to calculate operation of power networks parameter can with reference to existing rack power flow algorithm, this algorithm need the parameter of input to comprise microgrid is meritorious and idle emergently sends ability and send meritorious and other parameter of the idle output quality of power supply, grid structure etc. of price, microgrid.
Optionally, gradient descent method, genetic algorithm, particle cluster algorithm, ant group algorithm, artificial bee colony algorithm or immune algorithm can be utilized to solve bulk power grid model.By solving above-mentioned bulk power grid model, the amount of buying of microgrid object selected by the reverse power purchase of bulk power grid and each microgrid object can be determined.
As shown in Figure 2, the structural representation of bulk power grid side in Fig. 2 a kind of operation of power networks control system and microgrid energy management system reciprocal process disclosed in the embodiment of the present application.
Further, see the manner of execution process flow diagram of micro-capacitance sensor side in Fig. 3, Fig. 3 a kind of micro-capacitance sensor and bulk power grid information interactive process disclosed in the embodiment of the present application.
As shown in Figure 3, be introduced the method with micro-capacitance sensor energy management system side, the method comprises:
Step S300, the conventional step-length d=1 of initialization is set;
Particularly, conventional step-length d value is herein traditionally arranged to be consistent with the conventional step value in embodiment one.
Step S310, judge whether to receive that bulk power grid operation control system sends oppositely buys request, describedly oppositely buy request and comprise and oppositely buy meritorious and capacity of idle power reference price, if not, then perform step S320, if so, then perform step S330;
Step S320, make conventional step-length add 1, return described step S310;
Step S330, oppositely buy request according to described, set up with microgrid meet an urgent need benefit optimum be the micro-capacitance sensor model of target;
Step S340, solve described micro-capacitance sensor model, whether the micro-capacitance sensor judging to solve gained benefit of meeting an urgent need reaches micro-capacitance sensor response lag, if not, then returns described step S320, if so, then performs step S350;
Particularly, what each microgrid preset has emergent benefit response lag, just can respond when the emergent benefit value calculated exceedes this threshold value.
Step S350, according to the quality of power supply and the reverse active energy price of history and reverse capacity of idle power price, oppositely buy meritorious and capacity of idle power reference price finely tune described, obtain that microgrid is meritorious and idle emergently sends price;
Step S360, calculate the meritorious of this microgrid and the idle output quality of power supply and meritorious and idlely emergently send ability, and by result of calculation and this microgrid is meritorious and idle emergently sends price and mail to bulk power grid operation control system;
Step S370, judge whether to receive in Preset Time emergent that bulk power grid operation control system sends and buy decision and the amount of buying information, if not, then return described step S320, if so, then perform step S380;
Step S380, according to the control signal of the described amount of buying information adjustment to each equipment of this microgrid subordinate, and return described step S320.
Particularly, there is a series of subordinate's equipment in each micro-capacitance sensor, as Distributed-generation equipment, electric motor car, energy storage device and other consumer etc.The electricity amount of buying that microgrid energy management system issues according to bulk power grid, adjusts the control signal to each equipment of subordinate, and then controls generating and the power consumption of each equipment.As shown in Figure 4, the structural representation of micro-capacitance sensor side in Fig. 4 a kind of operation of power networks control system and microgrid energy management system reciprocal process disclosed in the embodiment of the present application.
In the embodiment of the present application, by being included in by microgrid in the electric power dealing system of electrical network, improve efficiency of energy utilization.Simultaneously, different according to rack position, oppositely the ability of power supply is different with the quality of power supply, and each microgrid is oppositely powered and will be there is competitive relation, excitation microgrid object formulates price of reasonably oppositely powering, to be chosen by operation of power networks controlling functions structure for obtaining maximizing the benefits.
Optionally, above-mentionedly oppositely buy request according to described, set up with microgrid meet an urgent need benefit optimum be the process of the micro-capacitance sensor model of target, can with reference to following introduction:
Determine objective function: max microgrid is met an urgent need benefit=emergent distributed reverse active energy income+emergent Demand Side Response active energy income+emergent electric motor car and the income+emergent Demand Side Response capacity of idle power income+emergent electric motor car of energy storage electric discharge active energy and energy storage capacity of idle power income, wherein
Wherein, time point distributed maximum residual generating capacity is the difference of microgrid maximum distribution formula generating capacity and distributed generating capacity.The emergency flight control signal of its correspondence is all opened by remaining distributed power generation.
Wherein, time point maximum urgent need side response active power is preset value.The emergency flight control signal of its correspondence is closed or transfer use time by other consumers by the requirement of equipment user.
Wherein, the maximum urgent electric discharge active power of time point is determined by the electricity of depositing of current time electric motor car and energy storage device.The emergency flight control signal of its correspondence is the discharge condition of opening electric motor car and energy storage device.
Wherein, time point maximum urgent need side response reactive power is preset value;
Wherein, the urgent reactive power of time point largest battery is determined by the battery parameter of electric motor car and energy storage device.The emergency flight control signal of its correspondence is closed or transfer use time by other consumer by the requirement of equipment user.
Optionally, gradient descent method, genetic algorithm, particle cluster algorithm, ant group algorithm, artificial bee colony algorithm or immune algorithm can be utilized to solve micro-capacitance sensor model.By solving above-mentioned model, can determine that microgrid is met an urgent need benefit, and then can judge that whether this emergent benefit is up to standard.
The micro-capacitance sensor provided the embodiment of the present application below and bulk power grid information interactive device are described, and micro-capacitance sensor described below can mutual corresponding reference with bulk power grid information interacting method with bulk power grid information interactive device and above-described micro-capacitance sensor.
First, the present embodiment introduces a kind of micro-capacitance sensor and bulk power grid information interactive device, is applied to bulk power grid operation control system, and as shown in Figure 5, this device comprises:
First step-length setting unit 51, for arranging the conventional step-length d=1 of initialization;
, there is urgent meritorious and reactive requirement for judging whether in urgent need judging unit 52, if not, then performing following first step-length increases unit 53, if so, then performs followingly to buy request transmitting unit 54;
First step-length increases unit 53, for making conventional step-length add 1, and returns described urgent need judging unit 52;
Buying request transmitting unit 54, oppositely buying request for sending to each microgrid energy management system, describedly oppositely buy request and comprise and oppositely buy meritorious and capacity of idle power reference price;
Feedback information receiving element 55, for receiving the request echo message of each microgrid energy management system feedback, described request echo message comprises that microgrid is meritorious and idle emergently to be sent ability and send the meritorious and idle output quality of power supply of price, microgrid;
Out of Memory acquiring unit 56, for obtaining the rack position of each microgrid prestored, the structural parameters of bulk power grid own and safe operation of electric network constraint, the constraint of region policy;
Unit 57 set up by bulk power grid model, for utilizing described request echo message, the rack position of described each microgrid, the structural parameters of described bulk power grid own, the constraint of described safe operation of electric network and the constraint of described region policy, set up with the minimum bulk power grid model for target of the urgent buying cost of bulk power grid;
Unit 58 asked for by bulk power grid model, for solving described bulk power grid model, obtains bulk power grid model solution: the amount of buying of the microgrid object selected by the reverse power purchase of bulk power grid and each microgrid object;
Bulk power grid model solution transmitting element 59, for after judging to buy electricity according to described bulk power grid model solution, when the frequency and voltage of bulk power grid can reach steady state (SS), described bulk power grid model solution is mail to corresponding micro-capacitance sensor energy management system, and return the described first step-length increase unit 53 of execution.
Optionally, described bulk power grid model is set up unit 57 and can be comprised:
Bulk power grid objective function determining unit,
For determining objective function: the urgent buying cost of min bulk power grid=emergent active energy buying cost+emergent capacity of idle power buying cost+assistant service cost, wherein,
Assistant service cost is preset value;
Bulk power grid constraint condition determining unit,
For determining that constraint condition is:
Utilize rack power flow algorithm to calculate operation of power networks parameter, the operation of power networks parameter calculating gained must meet operation of power networks restriction on the parameters, and described operation of power networks restriction on the parameters comprises overload constraint, voltage constraint, frequency constraint and harmonic wave constraint.
Secondly, the present embodiment introduces a kind of micro-capacitance sensor and bulk power grid information interactive device again, is applied to microgrid energy management system, and as shown in Figure 6, this device comprises:
Second step-length setting unit 61, for arranging the conventional step-length d=1 of initialization;
Buy request judging unit 62, for judging whether to receive, bulk power grid operation control system sends oppositely buys request, describedly oppositely buy request and comprise and oppositely buy meritorious and capacity of idle power reference price, if not, then perform following second step-length and increase unit 63, if so, then perform following micro-capacitance sensor model and set up unit 64;
Second step-length increases unit 63, for making conventional step-length add 1, returning described in execution and buying request judging unit 62;
Unit 64 set up by micro-capacitance sensor model, for oppositely buying request according to described, set up with microgrid meet an urgent need benefit optimum be the micro-capacitance sensor model of target;
Micro-capacitance sensor model solution unit 65, for solving described micro-capacitance sensor model;
Microgrid is met an urgent need benefit judging unit 66, and for and the micro-capacitance sensor judging to solve gained is met an urgent need, whether benefit reaches micro-capacitance sensor response lag, if not, then performing described second step-length increases unit 63, if so, then performs followingly to send price determining unit 67;
Send price determining unit 67, for according to the quality of power supply and history reverse active energy price and reverse capacity of idle power price, oppositely buy meritorious and capacity of idle power reference price finely tune described, obtain that microgrid is meritorious and idle emergently sends price;
Information feedback unit 68, for calculating the meritorious of this microgrid and the idle output quality of power supply and meritorious and idlely emergently sending ability, and by result of calculation and this microgrid is meritorious and idle emergently sends price and mail to bulk power grid operation control system;
Buy and determine judging unit 69, for judging that whether receiving the emergent of bulk power grid operation control system transmission in Preset Time buys decision and the amount of buying information, if not, then performing described second step-length increases unit 63, if so, following control signal adjustment unit 70 is then performed;
Control signal adjustment unit 70, for adjusting the control signal to each equipment of this microgrid subordinate according to the described amount of buying information, and returns the described second step-length increase unit 63 of execution.
The micro-capacitance sensor that the embodiment of the present application provides and bulk power grid information interactive device, when the urgent power purchase of bulk power grid, utilize micro-capacitance sensor distance load center nearer, the advantage that the reverse power supply cost ratio generator unit provided is lower, microgrid is included in the electric power dealing system of electrical network, improve efficiency of energy utilization.Meanwhile, when this application of installation is in bulk power grid control system, they are different according to rack position, and oppositely the ability of power supply is different with the quality of power supply, and the otherness price of oppositely power supply is different, select optimum microgrid object oppositely to power.Meanwhile, minimum with the urgent buying cost of electrical network, and power network safety operation is target is optimized, and ensure that benefit and the operation of electrical network.Further, when this application of installation is in microgrid energy management system, it meets an urgent need benefit for paying the utmost attention to microgrid, while powering for bulk power grid, ensures benefit and the operation of self micro-capacitance sensor.
Finally, also it should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the application.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein when not departing from the spirit or scope of the application, can realize in other embodiments.Therefore, the application can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.

Claims (10)

1. micro-capacitance sensor and a bulk power grid information interacting method, is characterized in that, comprising:
The conventional step-length d=1 of initialization is set;
Judge whether to there is urgent meritorious and reactive requirement;
If not, then make conventional step-length add 1, described in returning, judge whether to there is urgent meritorious and reactive requirement step;
If so, send to each microgrid energy management system and oppositely buy request, describedly oppositely buy request and comprise and oppositely buy meritorious and capacity of idle power reference price;
Receive the request echo message of each microgrid energy management system feedback, described request echo message comprises that microgrid is meritorious and idle emergently to be sent ability and send the meritorious and idle output quality of power supply of price, microgrid;
Obtain prestore the rack position of each microgrid, the structural parameters of bulk power grid own and safe operation of electric network constraint, the constraint of region policy;
Utilize described request echo message, the rack position of described each microgrid, the structural parameters of described bulk power grid own, the constraint of described safe operation of electric network and the constraint of described region policy, set up with the minimum bulk power grid model for target of the urgent buying cost of bulk power grid;
Solve described bulk power grid model, obtain comprising the bulk power grid model solution of the amount of buying of microgrid object selected by the reverse power purchase of bulk power grid and each microgrid object;
After judging to buy electricity according to described bulk power grid model solution, when the frequency and voltage of bulk power grid can reach steady state (SS), described bulk power grid model solution is mail to corresponding micro-capacitance sensor energy management system;
Make conventional step-length add 1, described in returning, judge whether to there is urgent meritorious and reactive requirement step.
2. method according to claim 1, it is characterized in that, described described request echo message, the rack position of described each microgrid, the structural parameters of described bulk power grid own, the constraint of described safe operation of electric network and the described region policy of utilizing retrains, set up with the minimum bulk power grid model for target of the urgent buying cost of bulk power grid, comprising:
Determine objective function: the urgent buying cost of min bulk power grid=emergent active energy buying cost+emergent capacity of idle power buying cost+assistant service cost, wherein,
Assistant service cost is preset value;
Determine that constraint condition is:
Utilize rack power flow algorithm to calculate operation of power networks parameter, the operation of power networks parameter calculating gained must meet operation of power networks restriction on the parameters, and described operation of power networks restriction on the parameters comprises overload constraint, voltage constraint, frequency constraint and harmonic wave constraint.
3. exchange method according to claim 1 or 2, is characterized in that, described in solve described bulk power grid model, comprising:
Gradient descent method, genetic algorithm, particle cluster algorithm, ant group algorithm, artificial bee colony algorithm or immune algorithm is utilized to solve described bulk power grid model.
4. micro-capacitance sensor and a bulk power grid information interacting method, is characterized in that, comprising:
The conventional step-length d=1 of initialization is set;
Judge whether to receive that bulk power grid operation control system sends oppositely buys request, describedly oppositely buy request and comprise and oppositely buy meritorious and capacity of idle power reference price;
If not, then make conventional step-length add 1, described in returning, judge whether to receive that bulk power grid operation control system sends oppositely buys request step;
If so, then oppositely buy request according to described, set up with microgrid meet an urgent need benefit optimum be the micro-capacitance sensor model of target;
Solve described micro-capacitance sensor model, judge whether the micro-capacitance sensor solving gained benefit of meeting an urgent need reaches micro-capacitance sensor response lag;
If not, then make conventional step-length add 1, described in returning, judge whether to receive that bulk power grid operation control system sends oppositely buys request step;
If so, then according to the quality of power supply and history reverse active energy price and reverse capacity of idle power price, oppositely buy meritorious and capacity of idle power reference price finely tune described, obtain that microgrid is meritorious and idle emergently sends price;
Calculate the meritorious of this microgrid and the idle output quality of power supply and meritorious and idlely emergently send ability, and by result of calculation and this microgrid is meritorious and idle emergently sends price and mail to bulk power grid operation control system;
Judge that in Preset Time, whether receive the emergent of bulk power grid operation control system transmission buys decision and the amount of buying information;
If not, then make conventional step-length add 1, described in returning, judge whether to receive that bulk power grid operation control system sends oppositely buys request step;
If so, then according to the control signal of the described amount of buying information adjustment to each equipment of this microgrid subordinate;
Make conventional step-length add 1, described in returning, judge whether to receive that bulk power grid operation control system sends oppositely buys request step.
5. method according to claim 4, is characterized in that, describedly oppositely buys request according to described, set up with microgrid meet an urgent need benefit optimum be the micro-capacitance sensor model of target, comprising:
Determine objective function: max microgrid is met an urgent need benefit=emergent distributed reverse active energy income+emergent Demand Side Response active energy income+emergent electric motor car and the income+emergent Demand Side Response capacity of idle power income+emergent electric motor car of energy storage electric discharge active energy and energy storage capacity of idle power income, wherein
Wherein, time point distributed maximum residual generating capacity is the difference of microgrid maximum distribution formula generating capacity and distributed generating capacity;
Wherein, time point maximum urgent need side response active power is preset value;
Wherein, the maximum urgent electric discharge active power of time point is determined by the electricity of depositing of current time electric motor car and energy storage device;
Wherein, time point maximum urgent need side response reactive power is preset value;
Wherein, the urgent reactive power of time point largest battery is determined by the battery parameter of electric motor car and energy storage device.
6. method according to claim 5, is characterized in that, described in solve described micro-capacitance sensor model, comprising:
Gradient descent method, genetic algorithm, particle cluster algorithm, ant group algorithm, artificial bee colony algorithm or immune algorithm is utilized to solve described micro-capacitance sensor model.
7. micro-capacitance sensor and a bulk power grid information interactive device, be applied to bulk power grid operation control system, it is characterized in that, this device comprises:
First step-length setting unit, for arranging the conventional step-length d=1 of initialization;
, there is urgent meritorious and reactive requirement for judging whether in urgent need judging unit, if not, then performing following first step-length increases unit, if so, then performs followingly to buy request transmitting unit;
First step-length increases unit, for making conventional step-length add 1, and returns described urgent need judging unit;
Buying request transmitting unit, oppositely buying request for sending to each microgrid energy management system, describedly oppositely buy request and comprise and oppositely buy meritorious and capacity of idle power reference price;
Feedback information receiving element, for receiving the request echo message of each microgrid energy management system feedback, described request echo message comprises that microgrid is meritorious and idle emergently to be sent ability and send the meritorious and idle output quality of power supply of price, microgrid;
Out of Memory acquiring unit, for obtaining the rack position of each microgrid prestored, the structural parameters of bulk power grid own and safe operation of electric network constraint, the constraint of region policy;
Unit set up by bulk power grid model, for utilizing described request echo message, the rack position of described each microgrid, the structural parameters of described bulk power grid own, the constraint of described safe operation of electric network and the constraint of described region policy, set up with the minimum bulk power grid model for target of the urgent buying cost of bulk power grid;
Unit asked for by bulk power grid model, for solving described bulk power grid model, obtains comprising the bulk power grid model solution of the amount of buying of microgrid object selected by the reverse power purchase of bulk power grid and each microgrid object;
Bulk power grid model solution transmitting element, for after judging to buy electricity according to described bulk power grid model solution, when the frequency and voltage of bulk power grid can reach steady state (SS), described bulk power grid model solution is mail to corresponding micro-capacitance sensor energy management system, and return the described first step-length increase unit of execution.
8. device according to claim 7, is characterized in that, described bulk power grid model is set up unit and comprised:
Bulk power grid objective function determining unit, for determining objective function: the urgent buying cost of min bulk power grid=emergent active energy buying cost+emergent capacity of idle power buying cost+assistant service cost, wherein,
Assistant service cost is preset value;
Bulk power grid constraint condition determining unit, for determining that constraint condition is:
Utilize rack power flow algorithm to calculate operation of power networks parameter, the operation of power networks parameter calculating gained must meet operation of power networks restriction on the parameters, and described operation of power networks restriction on the parameters comprises overload constraint, voltage constraint, frequency constraint and harmonic wave constraint.
9. micro-capacitance sensor and a bulk power grid information interactive device, is applied to microgrid energy management system, it is characterized in that, comprising:
Second step-length setting unit, for arranging the conventional step-length d=1 of initialization;
Buy request judging unit, for judging whether to receive, bulk power grid operation control system sends oppositely buys request, describedly oppositely buy request and comprise and oppositely buy meritorious and capacity of idle power reference price, if not, then perform following second step-length and increase unit, if so, then perform following micro-capacitance sensor model and set up unit;
Second step-length increases unit, for making conventional step-length add 1, returning described in execution and buying request judging unit;
Unit set up by micro-capacitance sensor model, for oppositely buying request according to described, set up with microgrid meet an urgent need benefit optimum be the micro-capacitance sensor model of target;
Micro-capacitance sensor model solution unit, for solving described micro-capacitance sensor model;
Microgrid is met an urgent need benefit judging unit, and for and the micro-capacitance sensor judging to solve gained is met an urgent need, whether benefit reaches micro-capacitance sensor response lag, if not, then performing described second step-length increases unit, if so, then performs followingly to send price determining unit;
Send price determining unit, for according to the quality of power supply and history reverse active energy price and reverse capacity of idle power price, oppositely buy meritorious and capacity of idle power reference price finely tune described, obtain that microgrid is meritorious and idle emergently sends price;
Information feedback unit, for calculating the meritorious of this microgrid and the idle output quality of power supply and meritorious and idlely emergently sending ability, and by result of calculation and this microgrid is meritorious and idle emergently sends price and mail to bulk power grid operation control system;
Buy decision judging unit, for judging that whether receiving the emergent of bulk power grid operation control system transmission in Preset Time buys decision and the amount of buying information, if not, then performing described second step-length increases unit, if so, following control signal adjustment unit is then performed;
Control signal adjustment unit, for adjusting the control signal to each equipment of this microgrid subordinate according to the described amount of buying information, and returns the described second step-length increase unit of execution.
10. device according to claim 9, is characterized in that, described micro-capacitance sensor model is set up unit and comprised:
Micro-capacitance sensor objective function determining unit, for determining objective function: max microgrid is met an urgent need benefit=emergent distributed reverse active energy income+emergent Demand Side Response active energy income+emergent electric motor car and the income+emergent Demand Side Response capacity of idle power income+emergent electric motor car of energy storage electric discharge active energy and energy storage capacity of idle power income, wherein
Wherein, time point distributed maximum residual generating capacity is the difference of microgrid maximum distribution formula generating capacity and distributed generating capacity;
Wherein, time point maximum urgent need side response active power is preset value;
Wherein, the maximum urgent electric discharge active power of time point is determined by the electricity of depositing of current time electric motor car and energy storage device;
Wherein, time point maximum urgent need side response reactive power is preset value;
Wherein, the urgent reactive power of time point largest battery is determined by the battery parameter of electric motor car and energy storage device.
CN201510236250.XA 2015-05-11 2015-05-11 Microgrid-large power grid information interaction method and device Pending CN104794588A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510236250.XA CN104794588A (en) 2015-05-11 2015-05-11 Microgrid-large power grid information interaction method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510236250.XA CN104794588A (en) 2015-05-11 2015-05-11 Microgrid-large power grid information interaction method and device

Publications (1)

Publication Number Publication Date
CN104794588A true CN104794588A (en) 2015-07-22

Family

ID=53559374

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510236250.XA Pending CN104794588A (en) 2015-05-11 2015-05-11 Microgrid-large power grid information interaction method and device

Country Status (1)

Country Link
CN (1) CN104794588A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112464454A (en) * 2020-11-19 2021-03-09 广东电网有限责任公司电力调度控制中心 Distributed execution optimization method and system based on precomputation optimization

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102104251A (en) * 2011-02-24 2011-06-22 浙江大学 Microgrid real-time energy optimizing and scheduling method in parallel running mode
US20120150679A1 (en) * 2012-02-16 2012-06-14 Lazaris Spyros J Energy management system for power transmission to an intelligent electricity grid from a multi-resource renewable energy installation
CN104318336A (en) * 2014-11-17 2015-01-28 国家电网公司 Method and device for information interaction between micro-grids and large grid

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102104251A (en) * 2011-02-24 2011-06-22 浙江大学 Microgrid real-time energy optimizing and scheduling method in parallel running mode
US20120150679A1 (en) * 2012-02-16 2012-06-14 Lazaris Spyros J Energy management system for power transmission to an intelligent electricity grid from a multi-resource renewable energy installation
CN104318336A (en) * 2014-11-17 2015-01-28 国家电网公司 Method and device for information interaction between micro-grids and large grid

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112464454A (en) * 2020-11-19 2021-03-09 广东电网有限责任公司电力调度控制中心 Distributed execution optimization method and system based on precomputation optimization
CN112464454B (en) * 2020-11-19 2024-04-05 广东电网有限责任公司电力调度控制中心 Distributed execution optimization method and system based on pre-calculation optimization

Similar Documents

Publication Publication Date Title
Shahnia et al. Coupling neighboring microgrids for overload management based on dynamic multicriteria decision-making
CN107545325B (en) Multi-microgrid interconnection operation optimization method based on game theory
US9287710B2 (en) Supplying grid ancillary services using controllable loads
Lin et al. Peak load shifting in the internet of energy with energy trading among end-users
Mao et al. Multiagent-based hybrid energy management system for microgrids
US8731732B2 (en) Methods and system to manage variability in production of renewable energy
US8415827B2 (en) Electric power system
EP3748796B1 (en) Energy internet system
CN104318336A (en) Method and device for information interaction between micro-grids and large grid
JP5560146B2 (en) Power storage device control device
JP2017500836A (en) Charging method and charging system
JP6166338B2 (en) Energy storage system
Rahbar et al. Energy management for demand responsive users with shared energy storage system
Kouache et al. A new approach to demand response in a microgrid based on coordination control between smart meter and distributed superconducting magnetic energy storage unit
Alfaverh et al. Electrical vehicle grid integration for demand response in distribution networks using reinforcement learning
Galvan et al. Transactive control mechanism for efficient management of EVs charging in transactive energy environment
KR102238153B1 (en) Power Management System
Bourbour et al. Selection of a suitable microgrid to couple with an overloaded neighboring microgrid based on decision making
Kim et al. A multiagent system for residential DC microgrids
Adhikaree et al. Internet of Things-enabled multiagent system for residential DC microgrids
CN104794588A (en) Microgrid-large power grid information interaction method and device
Hintz et al. Hybrid multi-agent based resilient control for EV connected micro grid system
Hamidi et al. A distributed control system for enhancing smart-grid resiliency using electric vehicles
Xu et al. Economic coalition strategies for cost reductions in microgrids distribution networks
TW201541793A (en) Supply-demand balancing system, switching system, supply-demand managing system, switching method, supply-demand balancing method, supply-demand managing method, switching program, and supply-demand managing program

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
EXSB Decision made by sipo to initiate substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information
CB02 Change of applicant information

Address after: 100031 Xicheng District West Chang'an Avenue, No. 86, Beijing

Applicant after: State Grid Corporation of China

Applicant after: National Grid Energy Research Institute Co., Ltd.

Address before: 100031 Xicheng District West Chang'an Avenue, No. 86, Beijing

Applicant before: State Grid Corporation of China

Applicant before: State Grid Energy Research Institute

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20150722