CN104505907B - A kind of supervising device of the battery energy storage system with Reactive-power control function - Google Patents

Abstract

The present invention provides the supervising device of a kind of battery energy storage system with Reactive-power control function, this supervising device 11 includes: renewable energy power generation monitoring of tools module 114, renewable energy power generation equipment 12 in monitoring battery energy storage system 10 in real time, and the generated output of renewable energy power generation equipment 12 is predicted；Battery monitor module 115, the battery module 13 in monitoring wind energy turbine set energy-storage system 10 in real time；Power distribution network contact module 112, in real time, regulating and controlling center from power distribution network 20 knows the ruuning situation of power distribution network 20 and relevant schedule information；Parallel control module 116, is used for controlling wind energy turbine set energy-storage system 10 and connects or isolate power distribution network 20；Middle control module 117, for determining the operation reserve of battery energy storage system 10, and sends instruction to above-mentioned each module, to perform this power supply strategy；SVG monitoring module, for monitoring SVG module 14 in real time；Bus module 111, for the liaison of the modules of this supervising device 11.

Description

A kind of supervising device of the battery energy storage system with Reactive-power control function

Art

The present invention relates to the supervising device of a kind of battery energy storage system with Reactive-power control function.

Background technology

In recent years, along with under energy demand and environmental protection dual-pressure, with photovoltaic, wind-power electricity generation and combustion gas Generating is developed rapidly for the distributed generation technology of representative.Further, this emerging concept of microgrid is also Proposed along with being widely used of distributed energy.But, owing to distributed energy is the most discontinuous Property, cause the stability of system to be the most gradually on the hazard, in order to give full play to the advantage of renewable energy power generation And benefit, balance its random fluctuation, safeguard system stability, improve the quality of power supply, it is provided that uninterrupted power supply merit Can wait, be necessary for being equipped with in systems the energy-storage units of certain capacity simultaneously.

In microgrid energy-storage system is applied, frequently with the connected mode of a kind of dc bus, this connected mode is storage Can access dc bus by a kind of two-way inverter by battery module, the when of needing to receive energy, electrical network leads to Cross inverter to charge to energy-storage battery；Needing to grid transmission when, energy-storage battery passes through two-way inverter Grid power transmission.Additionally, in microgrid energy-storage system, SVG equipment also can be prepared, it is used for when being incorporated into the power networks, Reactive-load compensation is carried out for power distribution network.

But, energy storage is relatively costly, it is contemplated that the financial cost that microgrid runs, and should ensure micro-grid system peace In the case of row for the national games, extend the life-span of energy storage as far as possible.Additionally, how to realize energy-storage system when being incorporated into the power networks, Carry out strategy of most preferably powering, to meet economy, security, be also urgent problem.

Summary of the invention

The present invention provides the supervising device of a kind of battery energy storage system with Reactive-power control function.This monitoring fills Put and can predict renewable energy power generation equipment, the battery module battery capacity of detection in real time and acquisition in real time The ruuning situation of power distribution network, formulate and implement optimum control strategy, ensure that energy-storage system is when grid-connected Steadily provide active power and reactive power according to the demand of power distribution network, and promote energy-storage system security and Service life.

To achieve these goals, the present invention provides a kind of battery energy storage system with Reactive-power control function Supervising device, including:

Renewable energy power generation monitoring of tools module, for the regenerative resource of monitoring battery energy storage system in real time Generating equipment, and the generated output of renewable energy power generation equipment is predicted；

Battery monitor module, can monitor the SOC of the battery module of battery energy storage system in real time；

Power distribution network contact module, in real time know from power distribution network regulation and control center power distribution network ruuning situation and Relevant schedule information；

SVG monitoring module, for the SVG module of monitoring battery energy storage system in real time, controls the nothing of SVG Merit exports；

Be incorporated into the power networks monitoring module, is used for controlling energy-storage system and connects or isolation power distribution network；

Middle control module, for determining the operation reserve of energy-storage system, and each module in above-mentioned supervising device Send instruction, to perform this operation reserve；

Bus module, for the liaison of the modules of this supervising device.

Preferably, described renewable energy power generation equipment is wind power equipment, renewable energy power generation monitoring of tools Module at least includes wind-driven generator level pressure, electric current, frequency detection equipment, wind speed measurement equipment.

Preferably, described renewable energy power generation equipment is that wind power equipment monitoring module obtains wind-powered electricity generation module in real time Service data, and store data.

Preferably, battery monitor module at least include accumulator voltage, electric current, SOC detection equipment with And temperature testing equipment,

Preferably, described battery module, including n battery pack and n DC/DC current transformer, n is more than Equal to 3, each battery pack is by a DC/DC inverter controller discharge and recharge, and this n DC/DC becomes Stream device is controlled by battery module monitoring module.

Preferably, described SVG monitoring module, the voltage and current including SVG module detects equipment.

Preferably, described parallel control module at least includes for detecting power distribution network and wind energy turbine set energy-storage system electricity Pressure, electric current and detection equipment, data acquisition unit and the data processing unit of frequency, data acquisition unit bag Containing gather pretreatment and A/D modular converter, gather eight tunnel telemetered signal amounts, comprise grid side A phase voltage, Electric current, the three-phase voltage of wind energy turbine set energy-storage system side, electric current.

The supervising device of the battery energy storage system of the present invention has the advantage that (1) Accurate Prediction renewable energy The power output situation of change of source generating equipment；(2) control strategy takes into account power distribution network scheduling requirement and energy storage system System ruuning situation, can provide active power and reactive power for power distribution network simultaneously, meet the scheduling need of power distribution network While asking, take into account power supply reliability, ensured the security of energy-storage system, extend system stored energy system Service life.

Accompanying drawing explanation

Fig. 1 shows the supervising device of a kind of battery energy storage system with Reactive-power control function of the present invention Block diagram；

Fig. 2 shows the monitoring method of the energy-storage system of the present invention.

Detailed description of the invention

Fig. 1 shows a kind of battery energy storage system 10 with Reactive-power control function, and this system 10 includes: Renewable energy power generation equipment 12, battery module 13, SVG module 14, for by energy-storage system 10 Change of current module one 16 two-way with the AC/DC that power distribution network 20 is connected and isolates, dc bus, can for connection The AC/DC two-way change of current module 2 15 of renewable source of energy generation equipment 12 and dc bus and supervising device 11。

Seeing Fig. 1, this supervising device 11 includes: renewable energy power generation monitoring of tools module 114, is used for Renewable energy power generation equipment 12 in monitoring battery energy storage system 10 in real time, and to renewable energy power generation The generated output of equipment 12 is predicted；Battery monitor module 115, for monitoring wind energy turbine set energy storage in real time Battery module 13 in system 10；Power distribution network contact module 112, for regulating and controlling from power distribution network 20 in real time The ruuning situation of power distribution network 20 and relevant schedule information are known in center；Parallel control module 116, is used for controlling Wind energy turbine set energy-storage system 10 processed connects or isolates power distribution network 20；Middle control module 117, is used for determining that battery stores up The operation reserve of energy system 10, and send instruction to above-mentioned each module, to perform this power supply strategy；SVG Monitoring module, for monitoring SVG module 14 in real time；Bus module 111, for this supervising device 11 The liaison of modules.

Communication module 111, the communication between above-mentioned modules, described bus communication module 111 is led to Cross redundancy dual CAN bus to be connected with other modules.

Renewable energy power generation equipment 12 includes multiple wind-driven generator.The power output of wind-driven generator is by wind The wind speed of power generator site, wind direction and unique characteristics are determined, renewable energy power generation monitoring of tools Module 114 at least includes wind-driven generator level pressure, electric current, frequency detection equipment, wind speed measurement equipment.

SVG monitoring module, the voltage and current including SVG module detects equipment.

Battery monitor module 116 at least includes accumulator voltage, electric current, SOC detection equipment and temperature Degree detection equipment, can monitor the SOC of battery module in real time.

Middle control module 117 at least includes CPU element, data storage cell and display unit.

Power distribution network contact module 112 at least includes Wireless Telecom Equipment.

Parallel control module 116 at least includes for detecting power distribution network and wind energy turbine set energy-storage system voltage, electric current Detection equipment, data acquisition unit and data processing unit with frequency.It is pre-that data acquisition unit comprises collection Process and A/D modular converter, gather eight tunnel telemetered signal amounts, comprise grid side A phase voltage, electric current, wind The three-phase voltage of electric field energy-storage system side, electric current.Remote measurement amount can be by the high-precision current in terminal and voltage Strong ac signal (5A/110V) is changed into internal weak electric signal by transformer without distortion, after filtered process Enter A/D chip and carry out analog-to-digital conversion, converted after data signal calculate through data processing unit, it is thus achieved that The three-phase voltage current value of wind energy turbine set energy-storage system 10 side and power distribution network 20 side phase voltage current value.This remote measurement Semaphore handles have employed high-speed and high-density synchronized sampling, automatic frequency tracking technology also has the FFT improved to calculate Method, so precision is fully guaranteed, it is possible to complete that wind energy turbine set energy-storage system 10 side is meritorious, idle and electric energy Measurement from first-harmonic to higher harmonic components and process.

Seeing accompanying drawing 2, the method for the present invention comprises the steps:

S1. renewable energy power generation monitoring of tools module obtains the operation number of renewable energy power generation equipment in real time According to, and store data；

S2. according to the service data of renewable energy power generation equipment, to the regenerative resource in following predetermined instant The power output of generating equipment is predicted, the exportable reactive power of real-time estimate SVG module；

S3. detection obtains the SOC of battery module in real time, obtains parameter and the schedule information of power distribution network in real time；

S4. with the meritorious demand in the schedule information of power distribution network and reactive requirement, current batteries to store energy SOC, following renewable energy power generation equipment power output and to the SVG module of SVG module can Output reactive power is as constraints, it is achieved the optimal control of battery energy storage system.

Preferably, renewable energy power generation equipment includes multiple wind power equipment, described in step s 2, use The power output of following manner prediction wind-powered electricity generation module, and the exportable reactive power of SVG module:

S201. predicted value initial as all kinds of electricity of current all kinds of electricity measured values in wind-powered electricity generation module is gathered Value, it was predicted that value includes: blower fan is gained merit predicted valuePredicted value that blower fan is idleBlower fan set end voltage is predicted ValuePredicted value that SVG is idleSVG set end voltage predicted valueEnergy-storage system site (PCC) Prediction of busbar voltage value

S202. set up the MPC being made up of optimization object function and constraints according to described predicted value and optimize control Simulation, and solve the meritorious of wind-powered electricity generation module and the predicted value of idle output:

Shown in the object function of MPC optimizing control models such as formula (1):

$\underset{Q_{\mathrm{WTG}}^{\mathrm{set}},V_{\mathrm{SVG}}^{\mathrm{set}}}{\min }(\underset{i=0}{\overset{N-1}{\mathrm{\Σ}}}\underset{j=0}{\overset{M-1}{\mathrm{\Σ}}}{\mathrm{\ρ}}^{t_{i,j}}{F}_1,\underset{i=0}{\overset{N-1}{\mathrm{\Σ}}}\underset{j=0}{\overset{M-1}{\mathrm{\Σ}}}{\mathrm{\ρ}}^{t_{i,j}}{F}_2)---\left(1\right)$

In formula (1)WithFor optimized variable,WithImplication is respectively the idle setting value of blower fan and SVG Voltage setting value；N is the number in time window Coverage Control cycle；M is containing future position under the single control cycle Number；ρ is attenuation coefficient, value ρ ＜ 1；Time variable ti, j=(Mi+j) Δ t meaning is current time Playing the jth future position in the i-th control cycle, Δ t is future position interval, and Δ t is pre-by wind-powered electricity generation modular power Survey time interval determines；

F1 is the variance level of wind-powered electricity generation module site busbar voltage and setting value, F1 expression such as formula (2):

$F_1\left(t_{i,j}\right)={[V_{\mathrm{PCC}}^{\mathrm{pre}}\left(t_{i,j}\right)-V_{\mathrm{PCC}}^{\mathrm{ref}}]}^2---\left(2\right)$

In formula (2)Represent the reference value of PCC voltage, set after extracting from main website control instruction；

F2 is SVG reactive reserve level, F2 expression such as formula (3):

$F_2\left(t_{i,j}\right)={[Q_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{i,j}\right)-Q_{\mathrm{SVG}}^{\mathrm{opr}}]}^2---\left(3\right)$

In formula (3)For the idle best operating point of SVG；

The constraints of MPC optimizing control models, specifically includes:

Blower fan is gained merit prediction-constraint condition:

$P_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i,j}\right)=\underset{k=1}{\overset{N_a}{\mathrm{\Σ}}}{\mathrm{\φ}}_k{P}_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i,j-k}\right)+{\mathrm{\ϵ}}_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i,j}\right)-\underset{k=1}{\overset{N_m}{\mathrm{\Σ}}}{\mathrm{\θ}}_k{\mathrm{\ϵ}}_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i,j-k}\right)---\left(4\right)$

In formula (4)Gain merit predicated error for blower fan；Na and Nm is respectively the exponent number of AR and MA model, φ k and θ k is associated weight, and exponent number and weight determine all in accordance with blower fan history value of gaining merit；Ti, j-k are prediction The middle calculating data that participate in (include) the corresponding moment, subscript k pushes away the k Δ t time before characterizing prediction time, Working as ti, during j-k≤0, meritorious predicted value should take corresponding moment history value；

Prediction-constraint condition that blower fan is idle:

Blower fan is idle reaches setting value before lower secondary control:

$Q_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i,0}\right)=Q_{\mathrm{WTG}}^{\mathrm{set}}\left(t_{i-\mathrm{1,0}}\right)---\left(5\right)$

Each future position in the i-th control cycle, the change procedure of blower fan reactive power is with exponential function matching:

$Q_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i,j}\right)=\frac{1-e^{-(t_{i,j}-t_{i,0})/T_s}}{1-e^{-\mathrm{M\Δt}/T_s}}{Q}_{\mathrm{WTG}}^{\mathrm{set}}\left(t_{i,0}\right)+\frac{e^{-(t_{i,j}-t_{i,0})/t_s}-e^{-\mathrm{M\Δt}/T_s}}{1-e^{\mathrm{M\Δt}/T_s}}{Q}_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i,0}\right)---\left(6\right)$

In formula (6), Ts is blower fan Reactive-power control time constant, can obtain according to blower fan Reactive-power control testing experiment Take.

Prediction-constraint condition that SVG is idle:

Reference value that SVG is idleAs shown in formula (7):

$\begin{array}{c}{Q}_{\mathrm{SVG}}^{\mathrm{ref}}\left(t_{i,j}\right)=K_P[V_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{i,j}\right)-V_{\mathrm{SVG}}^{\mathrm{set}}\left(t_{i,0}\right)]+K_I\mathrm{\Δt}\underset{k=0}{\overset{i\×M+j}{\mathrm{\Σ}}}[V_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{i,j-k}\right)-V_{\mathrm{SVG}}^{\mathrm{set}}\left(t_{i,-k}\right)]\\ +Q_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{\mathrm{0,0}}\right)-K_P[V_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{\mathrm{0,0}}\right)-V_{\mathrm{SVG}}^{\mathrm{set}}\left(t_{\mathrm{0,0}}\right)]\end{array}---\left(7\right)$

In formula (7), KI and KP is respectively the coefficient of proportional component and integral element；

Shown in predicted value such as formula (8) that SVG is idle:

$Q_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{i,j}\right)=Q_{\mathrm{SVG}}^{\mathrm{ref}}\left(t_{i,j-1}\right)+[Q_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{i,j-1}\right)-Q_{\mathrm{SVG}}^{\mathrm{ref}}\left(t_{i,j-1}\right)]e^{-(t_{i,j}-t_{i,j-1})/T_d}---\left(8\right)$

In formula (8), time constant Td is SVG power electronic equipment action delay；

Voltage prediction constraints:

$v^{\mathrm{pef}}\left(t_{i,j}\right)-v^{\mathrm{pre}}\left(t_{\mathrm{0,0}}\right)=s\left[\begin{array}{c}{P}_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i,j}\right)-P_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{\mathrm{0,0}}\right)\\ Q_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i,j}\right)-Q_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{\mathrm{0,0}}\right)\\ Q_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{i,j}\right)-Q_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{\mathrm{0,0}}\right)\end{array}\right]---\left(9\right)$

V in formula (9)^preThe vector constituted for blower fan machine end, SVG machine end and PCC prediction of busbar voltage value, S is sensitivity matrix；

The constraints that system voltage, generator operation and SVG run:

$\left\{\begin{array}{c}{v}^{\min }\≤v^{\mathrm{pre}}\left(t_{i,j}\right)\≤v^{\max }\\ Q_{\mathrm{WTG}}^{\min }\≤Q_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i,j}\right)\≤Q_{\mathrm{WTG}}^{\max }\\ Q_{\mathrm{SVG}}^{\min }\≤Q_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{i,j}\right)\≤Q_{\mathrm{SVG}}^{\max }\\ \mathrm{\Δ}{Q}_{\mathrm{WTG}}^{\min }\≤Q_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i,0}\right)-Q_{\mathrm{WTG}}^{\mathrm{pre}}\left(t_{i-\mathrm{1,0}}\right)\≤\mathrm{\Δ}{Q}_{\mathrm{WTG}}^{\max }\\ \mathrm{\Δ}{Q}_{\mathrm{SVG}}^{\min }\≤Q_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{i,0}\right)-Q_{\mathrm{SVG}}^{\mathrm{pre}}\left(t_{i-\mathrm{1,0}}\right)\≤\mathrm{\Δ}{Q}_{\mathrm{SVG}}^{\max }\end{array}\right.---\left(10\right)$

V in formula (10)^maxAnd V^minIt is respectively and is made up of system electricity PCC, blower fan and SVG voltage prediction value The upper and lower bound of the amount of pressing to, wherein PCC voltage limits is given by power distribution network control centre, and blower fan and The normal range of operation that SVG voltage limits is given according to equipment production firm determines；WithIt is respectively wind Operation bound that machine is idle,WithNot Wei SVG idle operation bound, all according to equipment factory The normal range of operation that business is given determines；WithIt is respectively blower fan idle climbing bound,WithIt is respectively SVG idle climbing bound, all needs to determine through reactive speed experimental results.

Preferably, the most in the following way, the SOC of acquisition battery module:

S31. gather the voltage of battery, electric current, obtain the power of battery；

S32. according to the power of battery, it is judged that whether the state of battery is in charge or discharge state；

S33. when battery is not charged or discharges, then open-circuit voltage method is used to calculate SOC；

S34. when battery is in charge or discharge state, then ampere-hour method is used to calculate SOC, and with previous Moment result of calculation is ampere-hour method SOC initial value.

Preferably, in S34, when battery is in charged state, the formula (11) calculating SOC is as follows:

$\mathrm{SOC}={\mathrm{SOC}}_0(1-\mathrm{\δ})+\frac{P_c\·\mathrm{\Δt}\·{\mathrm{\η}}_c}{E_c}---\left(11\right)$

In formula, SOC₀For initial SOC value, δ represents battery self-discharge rate, P_cRepresent battery charging merit Rate size, Δ t represents the time interval of twice calculating SOC value, η_cRepresent battery charge efficiency, E_cFor The rated capacity of battery.

When battery is in discharge condition, the formula (12) calculating SOC is as follows:

$\mathrm{SOC}={\mathrm{SOC}}_0(1-\mathrm{\δ})-\frac{P_d\·\mathrm{\Δt}}{E_c\·{\mathrm{\η}}_d}---\left(12\right)$

In formula, Pd represents that battery discharging watt level, η d represent battery discharging efficiency.

Preferably, described battery module, including n battery pack and n DC/DC current transformer, n is more than Equal to 3, each battery pack is by a DC/DC inverter controller discharge and recharge, and this n DC/DC becomes Stream device is controlled by battery module monitoring module 115.

Preferably, in step s 4, above-mentioned optimal control includes the optimal control to battery module SOC, Step is as follows:

S41. reference value SOC of energy-storage system battery charge state SOC is calculated_ref；

S42. the SOC of No. n-th battery pack of energy-storage system is judged_nWhether with the battery charge shape of energy-storage system Reference value SOC of state SOC_refEqual, if SOC_n≠SOC_refThen enter step S43, if SOC_n =SOC_refThen finishing control；

S43. the SOC of No. n-th battery pack of energy-storage system is judged_nWhether it is more than the battery charge of energy-storage system Reference value SOC of state SOC_refIf, the SOC of No. n-th battery pack of energy-storage system_nMore than energy storage system Reference value SOC of the battery charge state SOC of system_ref, then enter step S44, if the n-th of energy-storage system The SOC of number battery pack_nIt is not more than reference value SOC of the battery charge state SOC of energy-storage system_ref, then Enter step S45；

S44. judge whether energy-storage system is discharge condition, if energy-storage system is discharge condition, then control its The electric discharge of n DC/DC current transformer enters step S42, if energy-storage system is not in discharge condition, then controls Its No. n-th battery pack enters hot stand-by duty, enters step S42；

S45. judge whether energy-storage system is charged state, if energy-storage system is charged state, then control n-th The charging of number DC/DC current transformer, enters step S42, if energy-storage system is not in charged state, then controls Its No. n-th battery pack enters hot stand-by duty, enters step S42.

Preferably, in step s 4, being constrained to of energy-storage system general power Pg:

At non-response scheduling slot 1 time, P_g,min≤P_g(l)≤P_g,max, P_g,minCan for energy-storage system 10 The peak power absorbed from power distribution network 20, P_g,maxPower can be carried to power distribution network 20 for energy-storage system 10 Peak power；

Response scheduling period 2 times, P_g(2)=P_set, P_setThe interconnection required for 2 times for the response scheduling period Power.

Above content is to combine concrete preferred embodiment further description made for the present invention, no Can assert the present invention be embodied as be confined to these explanations.Common for the technical field of the invention For technical staff, without departing from the inventive concept of the premise, make some equivalents and substitute or obvious modification, And performance or purposes are identical, protection scope of the present invention all should be considered as belonging to.

Claims (3)

1. there is a supervising device for the battery energy storage system of Reactive-power control function, including:

Renewable energy power generation monitoring of tools module, for the regenerative resource of monitoring battery energy storage system in real time Generating equipment, and the generated output of renewable energy power generation equipment is predicted；

Battery monitor module, can monitor the SOC of the battery module of battery energy storage system in real time；

Power distribution network contact module, in real time know from power distribution network regulation and control center power distribution network ruuning situation and Relevant schedule information；

SVG monitoring module, for the SVG module of monitoring battery energy storage system in real time, controls the nothing of SVG Merit exports；

Be incorporated into the power networks monitoring module, is used for controlling energy-storage system and connects or isolation power distribution network；

Middle control module, for determining the operation reserve of energy-storage system, and each module in above-mentioned supervising device Send instruction, to perform this operation reserve；

Bus module, for the liaison of the modules of this supervising device；

Described renewable energy power generation equipment is wind power equipment, described renewable energy power generation monitoring of tools module At least include wind-driven generator level pressure, electric current, frequency detection equipment, wind speed measurement equipment；

Described renewable energy power generation monitoring of tools module obtains the service data of wind power equipment in real time, and stores Data；

Battery monitor module at least includes accumulator voltage, electric current, SOC detection equipment and temperature inspection Measurement equipment；

Described battery module, including n battery pack and n DC/DC current transformer, n is more than or equal to 3, Each battery pack is controlled discharge and recharge by a DC/DC current transformer, and this n DC/DC current transformer is by storage Battery cell monitoring module controls；

Battery monitor module obtains the SOC of battery module in the following way:

Gather the voltage of battery, electric current, obtain the power of battery；

Power according to battery, it is judged that whether the state of battery is in charge or discharge state；

When battery is not charged or discharges, then open-circuit voltage method is used to calculate SOC；

When battery is in charge or discharge state, then ampere-hour method is used to calculate SOC, and with previous moment Result of calculation is ampere-hour method SOC initial value；

When battery is in charged state, the formula calculating SOC is as follows:

$SOC={\mathrm{SOC}}_0(1-\mathrm{\δ})+\frac{P_c\·\mathrm{\Δ}t\·{\mathrm{\η}}_c}{E_c}$

In formula, SOC₀For initial SOC value, δ represents battery self-discharge rate, P_cRepresent battery charging merit Rate size, Δ t represents the time interval of twice calculating SOC value, η_cRepresent battery charge efficiency, E_cFor The rated capacity of battery；

When battery is in discharge condition, the formula calculating SOC is as follows:

$SOC={\mathrm{SOC}}_0(1-\mathrm{\δ})-\frac{P_d\·\mathrm{\Δ}t}{E_c\·{\mathrm{\η}}_d}$

In formula, Pd represents that battery discharging watt level, η d represent battery discharging efficiency；

Optimal control to battery module SOC, comprises the steps:

S41. reference value SOC of energy-storage system battery charge state SOC is calculated_ref；

S42. the SOC of No. n-th battery pack of energy-storage system is judged_nWhether with the battery charge shape of energy-storage system Reference value SOC of state SOC_refEqual, if SOC_n≠SOC_refThen enter step S43, if SOC_n= SOC_refThen finishing control；

S43. the SOC of No. n-th battery pack of energy-storage system is judged_nWhether it is more than the battery charge of energy-storage system Reference value SOC of state SOC_refIf, the SOC of No. n-th battery pack of energy-storage system_nMore than energy-storage system Reference value SOC of battery charge state SOC_ref, then enter step S44, if energy-storage system No. n-th The SOC of battery pack_nIt is not more than reference value SOC of the battery charge state SOC of energy-storage system_ref, then enter Step S45；

S44. judge whether energy-storage system is discharge condition, if energy-storage system is discharge condition, then control its n-th Number DC/DC current transformer controls electric discharge, enters step S42, if energy-storage system is not in discharge condition, then Control its No. n-th battery pack and enter hot stand-by duty, enter step S42；

S45. judge whether energy-storage system is charged state, if energy-storage system is charged state, then control n-th Number DC/DC current transformer controls charging, enters step S42, if energy-storage system is not in charged state, then Control its No. n-th battery pack and enter hot stand-by duty, enter step S42.

2. supervising device as claimed in claim 1, it is characterised in that described SVG monitoring module, including The voltage and current detection equipment of SVG module.

3. supervising device as claimed in claim 1, it is characterised in that described in be incorporated into the power networks monitoring module at least Including for detecting power distribution network and the detection equipment of wind energy turbine set energy-storage system voltage, electric current and frequency, data acquisition Collection unit and data processing unit, data acquisition unit comprises collection pretreatment and A/D modular converter, gathers Eight tunnel telemetered signal amounts, comprise grid side A phase voltage, electric current, the three-phase voltage of wind energy turbine set energy-storage system side, Electric current.