CN108376989A - A kind of battery energy storage power station partition control method and system based on multiple agent - Google Patents
A kind of battery energy storage power station partition control method and system based on multiple agent Download PDFInfo
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Abstract
A kind of battery energy storage power station partition control method and system based on multiple agent, including：Energy-accumulating power station main agent calculates the charge-discharge electric power reference value of all energy-storage units areas intelligent body according to higher level's scheduling information；Energy-accumulating power station main agent is compared according to the work state information that all energy-storage units areas intelligent body of charge-discharge electric power reference value and reception uploads, and is adjusted to charge-discharge electric power reference value according to comparison result, and be issued to energy-storage units area intelligent body；The energy storage parameter information that energy-storage units area intelligent body issues charge-discharge electric power reference value and energy-storage units after adjustment according to energy-accumulating power station main agent issues control instruction to the energy-storage units；The energy-storage units carry out charge and discharge according to the control instruction.Technical scheme of the present invention contributes to energy-accumulating power station according to the working condition of PCS and carries out reasonable distribution, and PCS is made to keep higher working efficiency.
Description
Technical field
The present invention relates to extensive energy storage technology, field of new energy generation, and in particular to a kind of electricity based on multiple agent
Pond energy-accumulating power station partition control method and system.
Background technology
With the continuous development of new energy technology, solar energy, wind energy with its cleaning, it is pollution-free, renewable the advantages that become
Representative in novel energy, and the appearance of large-scale energy storage system, have even more pushed the development of photovoltaic, wind-power electricity generation.Big rule
Mould energy-storage system can coordinate photovoltaic, Wind turbines to realize the functions such as smooth output, peak load shifting, tracking plan output, increase
The controllability of power generation, reduces the randomness and fluctuation of electricity generation system, improves the grid-connected ability of wind light generation.
Since the different energy-storage units areas formed by each PCS and its battery pack controlled in energy-storage system are with system
Operation will produce the inconsistent differences of SOC, to influence the control to energy-storage units area output power, be not achieved original scheduled
Control requires.Therefore a more stable, efficient, reliable energy-accumulating power station control system and method is needed to coordinate wind-powered electricity generation, light
Volt completes the electrical generation burden of entire electricity generation system.Multi-agent system (MAS, Multi-Agent System) technology exists at present
It is applied in the fields such as load prediction, power market simulation, micro power network, fault location, active distribution network.International Electro electricity
Gas Association of Engineers (IEEE) intelligence system branch has set up special working group's research multi-agent Technology in the power system
Popularization and application problem.
Compared with other field, establishes extensive battery energy storage power station using multi-agent Technology and coordinate control and energy pipe
The research of reason method is not mature enough.When extensive battery energy storage power station operation control, network structure system complex, there will be collection
The problem of Chinese style optimal control is difficult to be unfolded.
Invention content
It is to solve the above-mentioned problems existing to establish extensive battery energy storage power station coordination control using multi-agent Technology
Research with energy management method is not mature enough.When extensive battery energy storage power station operation control, network structure system complex
The deficiencies of problem, it is of the invention propose it is a kind of being based on multiple agent battery energy storage power station partition control method and system,
The technical scheme is that：
A kind of battery energy storage power station partition control method based on multiple agent, including：
Energy-accumulating power station main agent calculates the charge-discharge electric power of all energy-storage units areas intelligent body according to higher level's scheduling information
Reference value；
The energy-accumulating power station main agent is according to the charge-discharge electric power reference value and all energy-storage units areas of reception
The work state information that intelligent body uploads is compared, and is adjusted to charge-discharge electric power reference value according to comparison result, and under
It is sent to energy-storage units area intelligent body；
Energy-storage units area intelligent body issues the charge-discharge electric power after adjustment according to the energy-accumulating power station main agent joins
The energy storage parameter information for examining value and energy-storage units issues control instruction to the energy-storage units；
The energy-storage units carry out charge and discharge according to the control instruction.
Preferably, energy-accumulating power station main agent calculates the charge and discharge of all energy-storage units areas intelligent body according to higher level's scheduling information
Electrical power reference value, including：
Energy-accumulating power station main agent calculates energy-storage units area according to the power information of new energy power information and dispatching requirement
The charge-discharge electric power reference value of intelligent body.
Preferably, the energy-accumulating power station main agent is according to the charge-discharge electric power reference value and all energy storage of reception
The work state information that cellular zone intelligent body uploads is compared, and is adjusted to charge-discharge electric power reference value according to comparison result
It is whole, and it is issued to energy-storage units area intelligent body, including：
Energy-storage units area intelligent body by calculate maximum charge-discharge power and equivalence SOC determine working condition and on
Reach the energy-accumulating power station main agent；
The energy-accumulating power station main agent is uploaded by comparing charge-discharge electric power reference value and energy-storage units area intelligent body
Work state information determines the charge-discharge electric power reference value of adjustment, and is issued to the energy-storage units area intelligent body of work.
Preferably, the energy-accumulating power station main agent is by comparing charge-discharge electric power reference value and energy-storage units area intelligent body
The work state information of upload determines the charge-discharge electric power reference value of adjustment, and is issued to the energy-storage units area intelligent body of work,
Including：
The energy-accumulating power station main agent can be filled according to the work state information that energy-storage units area intelligent body uploads by maximum
Energy-storage units area is ranked up by discharge power；It can charge and discharge by the maximum of each energy-storage units area intelligent body according to the result of sequence
Electrical power adds up；
The maximum charge-discharge power of energy-storage units area intelligent body is often accumulated once then by accumulated result and charge and discharge electric work
Rate reference value is compared；
When accumulated result is less than charge-discharge electric power reference value, and the corresponding energy-storage units area quantity that adds up be less than it is all
Energy-storage units area quantity then continues to add up；
When accumulated result is less than charge-discharge electric power reference value, but the corresponding energy-storage units area quantity that adds up be equal to it is all
Energy-storage units area quantity then issues the charge-discharge electric power reference value of adjustment；
When accumulated result be more than charge-discharge electric power reference value, then issue charge-discharge electric power reference value；
The energy-storage units area intelligent body for being issued to work is determined based on accumulation result.Preferably, energy-storage units area intelligence
Energy body issues the energy storage parameter of charge-discharge electric power reference value and energy-storage units after adjustment according to the energy-accumulating power station main agent
Information issues control instruction to the energy-storage units, including：
Energy-storage units area intelligent body issues the charge-discharge electric power after adjustment according to the energy-accumulating power station main agent joins
The status information for examining value and energy-storage units is handed down to the control instruction of energy-storage units by multiparticle group's algorithm optimizing.
Another object of the present invention is to propose a kind of battery energy storage power station zone control system based on multiple agent, packet
It includes：Energy-accumulating power station main agent, energy-storage units area intelligent body and energy-storage units；
The energy-accumulating power station main agent, for calculating filling for all energy-storage units areas intelligent body according to higher level's scheduling information
Discharge power reference value；Receive the work state information that all energy-storage units areas intelligent bodies uploads, and with the charge-discharge electric power
Reference value is compared, and is adjusted to charge-discharge electric power reference value according to comparison result, is issued to energy-storage units area intelligent body；
Energy-storage units area intelligent body, for issuing the charge and discharge electric work after adjustment according to the energy-accumulating power station main agent
The energy storage parameter information of rate reference value and energy-storage units issues control instruction to the energy-storage units；
The energy-storage units carry out charge and discharge task for receiving the control instruction.
Preferably, the energy-accumulating power station main agent, including：Calculation control module and data memory module
The calculation control module, the scheduling information for calculating energy-storage units area, and judge the energy storage list of relevant work
First area；
The data memory module, the power information for storing new energy power information and dispatching requirement；
Preferably, energy-storage units area intelligent body, including：It is energy storage monitoring unit, energy storage data storage management unit, more
Band particle cluster computing unit；
The energy storage monitoring unit, the energy storage parameter information for acquiring energy-storage units area；
The energy storage data storage management unit, the monitoring information for receiving the energy storage monitoring unit；
The mostly band particle cluster computing unit, is used for the control instruction of optimizing energy-storage units.
Preferably, the energy-storage units, including：PCS and battery pack.
Compared with the immediate prior art, technical solution provided by the invention has the advantages that：
Technical solution proposed by the present invention is assisted by using between energy-accumulating power station main agent and energy-storage units area intelligent body
Distribution is adjusted, realizes centralized optimization and the control of energy-storage system, meanwhile, control method proposed by the present invention has expandability strong,
The features such as control accuracy is high, and the error between new energy and dispatch command is sufficiently lowered, it improves comprising energy-storage system
The tracking generation schedule ability of generation of electricity by new energy.
Technical solution combination multi-agent particle swarm algorithm proposed by the present invention, by establishing multiple energy-storage units area intelligence
Body is maximized the energy storage aggregate demand at each moment with energy storage PCS working efficiencies according to the working condition of PCS in energy-storage units
Each energy-storage units are tentatively distributed to for standard, while utilizing the principles sub-distribution again such as competition and self study between each intelligent body
To each energy-storage units area intelligent body to complete the task of energy storage and power generation.According to the working condition of PCS to energy-accumulating power station
It contributes and carries out reasonable distribution, PCS is made to keep higher working efficiency.By adjusting multi-agent particle swarm algorithm parameter information,
Control energy-storage system SOC is consistent or the tracking generation schedule of more height.
Description of the drawings
A kind of extensive battery energy storage power station control structure figure based on multi-agent particle swarm of Fig. 1 present invention；
Fig. 2 present invention's is suitable for extensive battery energy storage power station multi-agent particle swarm algorithm flow chart；
The PCS utilization rates of Fig. 3 present invention and working efficiency relational graph；
A kind of battery energy storage power station partition control method flow chart based on multiple agent of Fig. 4 present invention.
Specific implementation mode
For a better understanding of the present invention, present disclosure is done further with example with reference to the accompanying drawings of the specification
Explanation.
Complicated between energy-storage units in extensive battery energy storage system, battery pack and PCS quantity are more, influence to control
The variable of method is more, and for this feature of energy-accumulating power station, the present invention uses following scheme：
Extensive energy-accumulating power station control system based on multi-agent particle swarm technology, is arranged energy storage as unit of transformer
Cellular zone intelligent body, each connected PCS of each step down side and battery pack are as a particle in energy-storage units, often
One energy-storage units area intelligent body forms a population.Due to there is multiple energy-storage units areas intelligent body, so entire energy storage system
System may generally form the population of multiple intelligent bodies, i.e. multi-agent particle swarm.Coordinate to close between each intelligent body in system
Make, it is common to complete power generation and energy storage task.
Energy-storage units area intelligent body inputs the energy storage parameter provided for power dispatching command information, energy-storage system.Institute
Stating energy storage parameter includes：It is defeated that energy-storage system charge and discharge limit power, energy-storage system SOC, energy-storage system limitation SOC, energy-storage system
Go out power, PCS working status parameters.Energy-storage units area intelligent body output is power control signal, including under each transformer
Power control signal and battery pack SOC of PCS etc..The power control signal of energy-storage units area intelligent body, acts on
Power station Generation Control device, and be all an independent intelligent body, and can be only by the cooperation between energy-storage units area intelligent body
It is vertical to complete electricity generation system electrical generation burden.
A kind of battery energy storage power station partition control method based on multiple agent as can be seen from Figure 4, including：
Energy-accumulating power station main agent calculates the charge-discharge electric power of all energy-storage units areas intelligent body according to higher level's scheduling information
Reference value；
The energy-accumulating power station main agent is according to the charge-discharge electric power reference value and all energy-storage units areas of reception
The work state information that intelligent body uploads is compared, and is adjusted to charge-discharge electric power reference value according to comparison result, and under
It is sent to energy-storage units area intelligent body；
Energy-storage units area intelligent body issues the charge-discharge electric power reference value after adjustment according to the energy-accumulating power station main agent
With the energy storage parameter information of energy-storage units control instruction is issued to the energy-storage units；
The energy-storage units carry out charge and discharge according to the control instruction..
Energy-accumulating power station main agent calculates the charge-discharge electric power of all energy-storage units areas intelligent body according to higher level's scheduling information
Reference value, including：
Energy-accumulating power station main agent calculates energy-storage units area according to the power information of new energy power information and dispatching requirement
The charge-discharge electric power reference value of intelligent body.
Energy-accumulating power station main agent is according to all energy-storage units areas of the charge-discharge electric power reference value and reception intelligence
The work state information that body uploads is compared, and is adjusted to charge-discharge electric power reference value according to comparison result, and be issued to
Energy-storage units area intelligent body, including：
Energy-storage units area intelligent body determines working condition by calculating maximum charge-discharge power and equivalence SOC and is uploaded to
The energy-accumulating power station main agent；
The work that energy-accumulating power station main agent is uploaded by comparing charge-discharge electric power reference value and energy-storage units area intelligent body
Status information determines the charge-discharge electric power reference value of adjustment, and is issued to the energy-storage units area intelligent body of work.
The work that energy-accumulating power station main agent is uploaded by comparing charge-discharge electric power reference value and energy-storage units area intelligent body
Status information determines the charge-discharge electric power reference value of adjustment, and is issued to the energy-storage units area intelligent body of work, including：
The energy-accumulating power station main agent can be filled according to the work state information that energy-storage units area intelligent body uploads by maximum
Energy-storage units area is ranked up by discharge power；
The maximum charge-discharge power of each energy-storage units area intelligent body is added up according to the result of sequence；
The maximum charge-discharge power of energy-storage units area intelligent body is often accumulated once then by accumulated result and charge and discharge electric work
Rate reference value is compared；
When accumulated result is less than charge-discharge electric power reference value, and the corresponding energy-storage units area quantity that adds up be less than it is all
Energy-storage units area quantity then continues to add up；
When accumulated result is less than charge-discharge electric power reference value, but the corresponding energy-storage units area quantity that adds up be equal to it is all
Energy-storage units area quantity then issues the charge-discharge electric power reference value of adjustment；
When accumulated result be more than charge-discharge electric power reference value, then issue charge-discharge electric power reference value；
The energy-storage units area intelligent body for being issued to work is determined based on accumulation result.
Energy-storage units area intelligent body issues the charge-discharge electric power reference value after adjustment according to the energy-accumulating power station main agent
Control instruction is issued to the energy-storage units with the energy storage parameter information of energy-storage units, including：
Energy-storage units area intelligent body issues the charge-discharge electric power reference value after adjustment according to the energy-accumulating power station main agent
The control instruction of energy-storage units is handed down to by multiparticle group's algorithm optimizing with the status informations of energy-storage units.
Specifically, in multi-agent particle swarm algorithm, the dimension of the particle of generation represents the required number solved, i.e.,
For the number of energy-storage units area intelligent body.Based on multi-agent particle swarm algorithm, extensive energy-accumulating power station zonal control side is proposed
Method flow is as follows：
(1) extensive battery energy storage power station receives plan electrical generation burden, and electrical generation burden is distributed to each energy-storage units area
Intelligent body, while the status informations such as energy-storage units area intelligent body acquisition battery pack SOC.
(2) mutual negotiation communication between energy-accumulating power station main agent and energy-storage units area intelligent body, according to each unit battery
The real-time condition and each unit area PCS working status parameters of group SOC distributes and determines PCS in each energy-storage units area intelligent body
Output power.
(3) PCS under each energy-storage units receives power output instruction, completes power generation or energy storage task.
In the extensive energy-accumulating power station control method flow (2) based on multi-agent particle swarm, energy-accumulating power station charge and discharge
Electrical power determines that flow is as follows：
(a) each energy-storage units area intelligent body receives the energy storage task that scheduling is sent out, and determines that energy-storage system working condition (is filled
Electricity/electric discharge) and current time total charge-discharge electric power.
(b) each energy-storage units area intelligent body receives PCS working status parameter information, statistic unit area maximum charge-discharge work(
Rate and cellular zone are averaged the information such as SOC, determine the energy-storage units area for participating in current time charge and discharge.
(c) each energy-storage units area intelligent body combination energy storage dispatch command and related energy storage parameter information, according to by charging, put
Electric two kinds of situations determine that current time participates in the energy-storage units of charge and discharge, the cellular zone value and power reference tentatively distributed.
(d) it calculates multi-agent particle swarm algorithm and finely tunes section, each energy-storage units area intelligence of optimizing in fine tuning section
The corresponding each PCS of energy body should finally send out value and power reference.
The energy-storage system output power determines in flow (a) that energy-storage system power output is determined as in accordance with the following methods：
Pbess=Pplan-P0 (1)
Wherein, P0For the real-time output power of new energy (photovoltaic, wind-powered electricity generation), PplanFor dispatching requirement, PbessIt is filled for energy-accumulating power station
Discharge power.
The energy-storage system output power determines in flow (b) that energy-storage units area intelligent body is first according to each unit Qu works
Make state, updates current time each PCS working status parameters λ.It is operated in maximal efficiency and each energy-storage units area in consideration PCS
In the case of PCS working status parameters, each energy-storage units area maximum charge-discharge power is calculated.Formula is as follows：
Wherein, subscript i is energy-storage units area serial number, i=1,2 ..., n；J is No. PCS, j=1 in certain energy-storage units area,
2,…,m；Pmax_iFor i-th of energy-storage units area maximum charge-discharge power；Pmax_ijFor j-th of PCS in i-th of energy-storage units area
Maximum charge-discharge power；η is the power utilization of energy storage PCS, and λ is energy storage PCS state parameters.
The η is energy storage PCS utilization rates, refers to the operating power of PCS and the ratio of peak power output.Practice have shown that PCS
It is operated in the section internal efficiency highest that utilization rate is 10%~90%.In order to illustrate η values are 0.9 in the method.
Meanwhile each energy-storage units area intelligent body is according to PCS state parameters (failure, maintenance etc./normal), by each energy-storage units
It sorts from small to large when the battery pack equivalence SOC of area PCS is by charging, the descending sequence of when electric discharge.SOC of equal value is calculated such as formula
(3)：
Wherein m is PCS quantity in a certain energy-storage units area intelligent body.Most by the cumulative preceding L energy-storage units area of clooating sequence
It greatly can charge-discharge electric power, such as following formula：
Work as Pmax<PbessWhen, and L<When n is less than energy-storage units sum, continue to add up；
Work as Pmax<PbessWhen, and when L=n, PmaxAs energy-accumulating power station current time have reached can charge and discharge maximum power limit
System, can enable Pbess=Pmax；
Work as Pmax>PbessWhen, the stopping time is only cumulative, and records the number in corresponding L energy-storage units area.Meanwhile by it is all not
Each PCS working status parameters λ in energy-storage units area for being recorded number is set to 0, i.e., is once updated to working status parameter λ.
The energy-storage system output power determines in flow (c) that each energy-storage units area intelligent body power output is according to following
Method is determined as：
Wherein, Pi *For the output power initial reference value of energy-storage units i, i=1,2 ..., n；Parameter lambda is the work of PCS
State parameter, failure, overhaul or be not involved in this moment control in the case of be 0, can normal use when be 1.
The energy-storage system output power determines in flow (d), energy-storage units area, according to the maximum of each PCS administered
Allow the real-time condition of charge-discharge electric power and capacity, battery pack SOC, calculates multi-agent particle swarm algorithm and finely tune section.It is counting
When calculating fine tuning section, a SOC reference values SOC is preset firstref, the equivalent SOC of battery pack to adjust each energy-storage units makes
After certain time runs, in the control range of each energy-storage units area intelligent body, the SOC average values of each PCS can be gradual
It approaches and is consistent substantially.Power finely tunes sectionIt will calculate according to the following formula：
Wherein, KiFor the coefficient of determination according to cell-average SOC, whenWhen KAgnet_i=1, otherwise
KAgnet_i=-1；Power is adjusted for preset energy-storage units.Work as COEFFICIENT KAgnet_iWhen being all positive or negative, fine tuning section is pressed
It is determined as according to following formula：
Wherein,After being sorted by size according to the SOC of i-th of energy-storage units area intelligent body, by taking median to obtain
New SOC reference valuesIt determines.
Finally, the bound in multi-agent particle swarm algorithm power fine tuning section determines in accordance with the following methods：
Each energy-storage units area intelligent body is calculated in multi-agent particle swarm algorithm fine tuning section using multi-agent particle swarm
The charge-discharge electric power of the corresponding energy storage subsystem in each energy-storage units area of method optimizing.It, will in multi-agent particle swarm algorithm
The charge-discharge electric power reference value in i-th of energy-storage units areaEnergy-storage battery pool-size Ci, energy-storage battery groupFinely tune section
BoundAnd in i-th of energy-storage units area control range the SOC and maximum allowable charge and discharge of each PCS work(
Rate limitsIt substitutes into multi-agent particle swarm algorithm, you can obtain i-th of energy-storage units intelligent body control
Each PCS needs charge-discharge electric power at current time in range processed.Energy-storage units area intelligent body generates the control of each PCS and refers to simultaneously
It enables, and is issued in the control module of each PCS under the agency, control PCS completes power generation or energy storage task.Using mostly intelligent
The object function and constraints of body particle cluster algorithm are as follows：
Gbess=min (ω1F1+ω2F2) (9)
F1=| Pi(t)-Pi *(t)| (10)
Wherein：I is the intelligent body number in energy-storage units area, and i=1,2,3 ... n, j control for each energy-storage units intelligent body
PCS quantity j=1,2,3 ... m in range.M indicates PCS quantity.Pi *For the power point at i-th of energy-storage units intelligent body current time
With initial value；PijFor j-th of PCS current time power command value in i-th of energy-storage units intelligent body；It is i-th
The average value of energy-storage units intelligent body last moment totality SOC；SOCij(t-1) it is j-th in i-th of energy-storage units intelligent body
PCS last moment SOC average values；CiFor stored energy capacitance summation in i-th of energy-storage units intelligent body；CijFor i-th of energy-storage units
The stored energy capacitance summation of j-th of PCS in intelligent body；The working condition ginseng that λ is j-th of PCS in i-th of energy-storage units intelligent body
Number.
In above-mentioned formula, GbessFor multi-agent particle swarm algorithm object function, F1For energy-accumulating power station each unit area electric discharge work(
The difference of rate and current time energy-accumulating power station cellular zone value and power reference, F2Join for energy-accumulating power station entirety SOC average values and default SOC
Examine value (such as SOCref=0.5) difference, ω are weight coefficient, for weigh energy-accumulating power station be partial to be adjusted SOC or
It is partial to trace scheduling.It is connect in this way after particle cluster algorithm iteration as each energy-storage units SOC can be obtained in the operation of emulation
It is closely same value, and close with reference value as possible simultaneously.At the same time, each energy-storage units are contributed and photovoltaic output summation exists
The dispatch command value sent out close to higher level's energy storage main agent in the range of permission.
The multi-agent particle swarm algorithm flow overall step is as follows：
1) parameter that energy-storage system configures parameter, including population group's number, each population and its particle, power generation meter are read
It draws and new energy realtime power.Wherein population number is transformer number in energy-storage system, and the parameter of particle is in population
The number of current transformer, maximum power, capacity, battery capacity, battery pack SOC.
2) population initializes, and the power that next time precision of each PCS in energy-storage units is sent out is according to battery
Group SOC, PCS maximum power, energy storage dispatching requirement are tentatively arranged.
3) population competes, and proposes fitness function in conjunction with energy-accumulating power station feature, calculates the fitness of each population, often
8 populations of a population and surrounding are compared, if 8 population fitness of surrounding are optimal, to this population
It is updated.
4) population updates, if the fitness of a certain neighbours is better than particle itself in 8 neighbours of particle periphery, to grain
Son is updated.Specifically it is updated to：Particle value=particle fitness initial value+(0~1 random number) * (optimal neighbours' value-particles
Fitness initial value)；If the fitness of eight neighbours is all weaker than particle itself, without update.
5) population self study sets a search range appropriate to each population and is sought by fitness function
It is excellent, the new particle group fitness obtained is compared with the population fitness of script, is as a result currently adapted to better than population
Degree, then be replaced population current value.
6) it is iterated, until iterations are completed.After successive ignition, optimum individual can be in contemporary population
Solution space optimal value is approached in corresponding precision.
Another object of the present invention is to propose a kind of battery energy storage power station zone control system based on multiple agent, packet
It includes：Energy-accumulating power station main agent, energy-storage units area intelligent body and energy-storage units；
Explanation is further explained to above-mentioned two module below：
Energy-accumulating power station main agent, the charge and discharge for calculating all energy-storage units areas intelligent body according to higher level's scheduling information
Value and power reference；The work state information that all energy-storage units areas intelligent body uploads is received, and is referred to the charge-discharge electric power
Value is compared, and is adjusted to charge-discharge electric power reference value according to comparison result, is issued to energy-storage units area intelligent body；
Energy-storage units area intelligent body is joined for issuing the charge-discharge electric power after adjustment according to the energy-accumulating power station main agent
The energy storage parameter information for examining value and energy-storage units issues control instruction to the energy-storage units；
Energy-storage units carry out charge and discharge task for receiving the control instruction.
Energy-accumulating power station main agent, including：Calculation control module and data memory module；
Calculation control module, the scheduling information for calculating energy-storage units area, and judge the energy-storage units area of relevant work；
Data memory module, the power information for storing new energy power information and dispatching requirement；
Energy-storage units area intelligent body, including：Energy storage monitoring unit, energy storage data storage management unit, mostly band population meter
Calculate unit；
Energy storage monitoring unit, the energy storage parameter information for acquiring energy-storage units area；
Energy storage data storage management unit, the monitoring information for receiving the energy storage monitoring unit；
Mostly band particle cluster computing unit, is used for the control instruction of optimizing energy-storage units.
Energy-storage units, including：PCS and battery pack.
Specifically, it will be seen from figure 1 that energy-storage system is divided into the main intelligence of energy-accumulating power station as unit of transformer
Body and N number of energy-storage units area intelligent body, each energy-storage units separately include PCS in varying numbers and battery pack, as shown in Figure 1 can be with
Find out that each energy-storage units area intelligent body belongs to parallel construction, whole system includes：Energy-accumulating power station main agent and its meter of inside
Calculate control unit and data storage element, the energy storage monitoring unit of energy-storage units area intelligent body and its inside and several PCS and electricity
Pond group, energy storage data storage administrative unit, multi-agent particle swarm calculation control unit.
(1) energy-accumulating power station main agent is responsible for receiving the power information of new energy (photovoltaic/wind-powered electricity generation) and dispatching requirement and be deposited
Storage should be sent out total in the data storage element of energy-accumulating power station main agent by calculation control unit calculating energy-storage system
Power judges each storage by reading the energy-storage system status information that energy storage monitoring unit provides in each sub- intelligent body of energy-accumulating power station
It can tentatively be distributed with PCS and to each energy-storage units and its PCS power in unit.
(2) the energy storage monitoring unit inside energy-storage units area intelligent body be responsible in real time acquisition energy-storage units in PCS power,
The information such as each PCS working status parameters, battery pack SOC, and above- mentioned information is sent to data in energy-accumulating power station main agent and is stored up
Memory cell.It is also responsible for receiving the control instruction that multi-agent particle swarm calculation control unit is assigned simultaneously, controls what each PCS was sent out
Power is to complete generation schedule.Energy storage monitoring unit with energy storage data storage administrative unit by being communicated, by the letter of acquisition
Breath is stored.
(3) the multi-agent particle swarm calculation control unit inside energy-storage units area intelligent body is responsible for utilizing multiple agent grain
Swarm optimization calculates and finally distributes each energy-storage units and its value and power reference of PCS, and value and power reference is sent back to energy storage
Monitoring unit.The power information for calculating gained is sent to energy storage data storage by multi-agent particle swarm calculation control unit simultaneously
Administrative unit is to be preserved.
(4) the energy storage data storage administrative unit inside energy-storage units area intelligent body is responsible for receiving each energy-storage units area intelligence
The monitoring information of the energy storage monitoring unit of body；Multi-agent particle swarm calculation control unit calculates the power information of gained.By this
A little information carry out storage management by regular hour precision, in case being called when the following detection or other situations.
(5) PCS in energy-storage units area intelligent body and battery pack are to complete the electrical generation burden of energy-accumulating power station, wherein each storage
PCS quantity that can be in cellular zone intelligent body can different, working condition can be different, the current SOC value of battery pack between each PCS
It can be different.Each PCS and battery pack by energy storage monitoring unit monitor and control in real time.It can be according to storage in this algorithm
Difference in energy power station between energy-storage travelling wave tube is treated with a certain discrimination, is individually controlled, as control effect is first into each energy storage is exercised
Gap reduces between part.
Fig. 2 shows a kind of extensive battery energy storage power station control flow chart based on multi-agent particle swarm, control are specific
Shown in steps are as follows：
(1) energy-accumulating power station main agent is according to dispatching requirement and photovoltaic/wind-powered electricity generation real time data, when calculating energy-accumulating power station is current
Carve the general power reference value that send out.And each energy storage is tentatively distributed by available PCS quantity in conjunction with each energy-storage units status information
The electrical generation burden of unit.Herein, the utilization rate of PCS takes 0.9, arbitrary value between can essentially taking 0.1 to 0.9, can basis
Actual conditions change, and PCS utilization rates and service efficiency relationship are as shown in Figure 3.
(2) the PCS output power reference values that each energy-storage units area intelligent body is tentatively distributed according to energy-accumulating power station main agent,
Calculate the section of population optimizing output power.Work(should finally be sent out by calculating each PCS under each energy-storage units area intelligent body
The reference value of rate.
(3) energy-storage units area intelligent body is communicated with multi-agent particle swarm calculation control unit, judges each PCS output powers
Whether reference value limits beyond peak power output, such as exceeds limitation, then presses the maximum exportable power distributions of PCS, while will divide
Information after matching is sent to energy-storage units area intelligent body.
(4) energy-storage units area intelligent body controls the power that each PCS is sent out in energy-storage units by energy storage monitoring unit, simultaneously
Power and battery state information are sent to data storage element.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, the application can be used in one or more wherein include computer usable program code computer
The computer program production implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is with reference to method, the flow of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
Instruct the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine so that the instruction executed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
It these are only the embodiment of the present invention, be not intended to restrict the invention, it is all in the spirit and principles in the present invention
Within, any modification, equivalent substitution, improvement and etc. done, be all contained in apply pending scope of the presently claimed invention it
It is interior.
Claims (9)
1. a kind of battery energy storage power station partition control method based on multiple agent, which is characterized in that including：
The charge-discharge electric power that energy-accumulating power station main agent calculates all energy-storage units areas intelligent body according to higher level's scheduling information refers to
Value；
The energy-accumulating power station main agent is according to all energy-storage units areas of the charge-discharge electric power reference value and reception intelligence
The work state information that body uploads is compared, and is adjusted to charge-discharge electric power reference value according to comparison result, and be issued to
Energy-storage units area intelligent body；
Energy-storage units area intelligent body issues the charge-discharge electric power reference value after adjustment according to the energy-accumulating power station main agent
With the energy storage parameter information of energy-storage units control instruction is issued to the energy-storage units；
The energy-storage units carry out charge and discharge according to the control instruction.
2. the battery energy storage power station partition control method based on multiple agent as described in claim 1, which is characterized in that energy storage
Power station main agent calculates the charge-discharge electric power reference value of all energy-storage units areas intelligent body according to higher level's scheduling information, including：
Energy-accumulating power station main agent calculates energy-storage units area intelligence according to the power information of new energy power information and dispatching requirement
The charge-discharge electric power reference value of body.
3. the battery energy storage power station partition control method based on multiple agent as described in claim 1, which is characterized in that described
Energy-accumulating power station main agent is uploaded according to all energy-storage units areas intelligent body of the charge-discharge electric power reference value and reception
Work state information is compared, and is adjusted to charge-discharge electric power reference value according to comparison result, and be issued to energy-storage units
Area's intelligent body, including：
Energy-storage units area intelligent body determines working condition by calculating maximum charge-discharge power and equivalence SOC and is uploaded to
The energy-accumulating power station main agent；
The work that the energy-accumulating power station main agent is uploaded by comparing charge-discharge electric power reference value and energy-storage units area intelligent body
Status information determines the charge-discharge electric power reference value of adjustment, and is issued to the energy-storage units area intelligent body of work.
4. the battery energy storage power station partition control method based on multiple agent as claimed in claim 3, which is characterized in that described
The work state information that energy-accumulating power station main agent is uploaded by comparing charge-discharge electric power reference value and energy-storage units area intelligent body
It determines the charge-discharge electric power reference value of adjustment, and is issued to the energy-storage units area intelligent body of work, including：
The energy-accumulating power station main agent presses maximum charge-discharge according to the work state information that energy-storage units area intelligent body uploads
Energy-storage units area is ranked up by power；
The maximum charge-discharge power of each energy-storage units area intelligent body is added up according to the result of sequence；
The maximum charge-discharge power for often accumulating once energy-storage units area intelligent body then joins accumulated result and charge-discharge electric power
Value is examined to be compared；
When accumulated result is less than charge-discharge electric power reference value, and the corresponding energy-storage units area quantity that adds up is less than all energy storage
Cellular zone quantity then continues to add up；
When accumulated result is less than charge-discharge electric power reference value, but the corresponding energy-storage units area quantity that adds up is equal to all energy storage
Cellular zone quantity then issues the charge-discharge electric power reference value of adjustment；
When accumulated result be more than charge-discharge electric power reference value, then issue charge-discharge electric power reference value；It is determined based on accumulation result
It is issued to the energy-storage units area intelligent body of work.
5. the battery energy storage power station partition control method based on multiple agent as described in claim 1, which is characterized in that described
Energy-storage units area intelligent body issues charge-discharge electric power reference value and energy storage list after adjustment according to the energy-accumulating power station main agent
The energy storage parameter information of member issues control instruction to the energy-storage units, including：
Energy-storage units area intelligent body issues the charge-discharge electric power reference value after adjustment according to the energy-accumulating power station main agent
The control instruction of energy-storage units is handed down to by multiparticle group's algorithm optimizing with the status informations of energy-storage units.
6. a kind of battery energy storage power station zone control system based on multiple agent, which is characterized in that including：The main intelligence of energy-accumulating power station
It can body, energy-storage units area intelligent body and energy-storage units；
The energy-accumulating power station main agent, the charge and discharge for calculating all energy-storage units areas intelligent body according to higher level's scheduling information
Value and power reference；The work state information that all energy-storage units areas intelligent body uploads is received, and is referred to the charge-discharge electric power
Value is compared, and is adjusted to charge-discharge electric power reference value according to comparison result, is issued to energy-storage units area intelligent body；
Energy-storage units area intelligent body is joined for issuing the charge-discharge electric power after adjustment according to the energy-accumulating power station main agent
The energy storage parameter information for examining value and energy-storage units issues control instruction to the energy-storage units；
The energy-storage units carry out charge and discharge task for receiving the control instruction.
7. the battery energy storage power station zone control system based on multiple agent as claimed in claim 6, which is characterized in that described
Energy-accumulating power station main agent, including：Calculation control module and data memory module；
The calculation control module, the scheduling information for calculating energy-storage units area, and judge the energy-storage units area of relevant work；
The data memory module, the power information for storing new energy power information and dispatching requirement.
8. the battery energy storage power station zone control system based on multiple agent as claimed in claim 6, which is characterized in that described
Energy-storage units area intelligent body, including：Energy storage monitoring unit, energy storage data storage management unit, mostly band particle cluster computing unit；
The energy storage monitoring unit, the energy storage parameter information for acquiring energy-storage units area；
The energy storage data storage management unit, the monitoring information for receiving the energy storage monitoring unit；
The mostly band particle cluster computing unit, is used for the control instruction of optimizing energy-storage units.
9. the battery energy storage power station zone control system based on multiple agent as claimed in claim 6, which is characterized in that described
Energy-storage units, including：PCS and battery pack.
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