CN104734195A - Monitoring method of wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner - Google Patents

Abstract

A monitoring method of a wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner has the advantages that the monitoring method can predict the power generation power of wind-photovoltaic power generation equipment in a micro-grid and the load change in the micro-grid, track grid connection point voltage information of large power grids, acquire large power grid scheduling instructions in real time, detect storage battery module battery capacity in real time, set energy accumulation system discharge intervals, perform optimized management on the energy of an energy accumulation system on the basis of an SOC hierarchical control strategy, correct the charging and discharging power of the energy accumulation system in real time, optimize the working performance of the energy accumulation system, make and implement most appropriate control strategies, guarantee that the micro-grid participates in large power grid voltage adjusting according to the requirements of the large power grids during grid connection, and guarantee voltage stability during grid-connected operation.

Description

A kind of method for supervising of the wind-light storage one micro-capacitance sensor be incorporated into the power networks

Art

The present invention relates to a kind of method for supervising of the wind-light storage one micro-capacitance sensor be incorporated into the power networks.

Background technology

The energy and environmental crisis have become the major issue affecting Human Sustainable Development, and utilization that is clean, regenerative resource is the fundamental way addressed this problem.Along with the maturation of the renewable energy power generation technology such as wind power generation, photovoltaic generation, wave power generation, increasing regenerative resource micro-capacitance sensor is form access electrical network in a distributed manner, meets the demand of the daily production of people, household electricity.

Using the micro-capacitance sensor of wind-powered electricity generation and photovoltaic generation as superhigh pressure, the supplementing of remote, bulk power grid powering mode, represent the developing direction that electric power system is new.The motive power of Wind turbines is wind energy, and wind energy makes the power sent of Wind turbines be interval due to the intermittence of wind and stochastic volatility and fluctuates, and the wind energy connecting system of these fluctuations can bring impact to electric power system.Meanwhile, because Wind turbines is asynchronous machine, if do not controlled, while sending active power, need to absorb certain reactive power, do not utilize the voltage stabilization of system.When wind-powered electricity generation permeability is lower, these impacts are not obvious, and along with the raising of wind-powered electricity generation permeability, the impact of wind energy on electric power system increases gradually, cause certain difficulty also to while bringing economic benefit to electric power system the operation of electrical network.

In the electric power system that the grid-connected proportion of wind light generation is larger, because wind energy turbine set and photovoltaic DC field power output have incomplete controllability and expection property, the inertia of the distribution of original electric power system tide, circuit transmission power and whole system can be changed to a certain extent, thus impact is created on meritorious, reactive power equilibrium, frequency and the voltage stabilization of electrical network.Energy storage technology solves fluctuation and the stochastic problems of generation of electricity by new energy to a great extent, effectively improves the predictability in intermittent micro-source, certainty and economy.In addition, energy storage technology is at frequency modulation and voltage modulation and improvement system is meritorious, reactive balance level, and the effect improving micro-capacitance sensor stable operation ability aspect also obtain extensively research and proof.In the electric power system that wind light generation permeability is higher, when the electric power system frequency of occurrences and change in voltage, require that the real-time of wind-light storage cluster to stability of power system and the quality of power supply is stronger, must according to the real-time status of electric power system, fully take into account the regulating power of wind-light storage cluster, the reliable and economical operation of guarantee electric power system.

Summary of the invention

The invention provides a kind of method for supervising of the wind-light storage one micro-capacitance sensor be incorporated into the power networks, load variations in the generated output of the wind light generation equipment in the measurable micro-capacitance sensor of the method for supervising be somebody's turn to do and micro-capacitance sensor, the grid-connected point voltage information of traceable bulk power grid, Real-time Obtaining bulk power grid dispatch command, the battery module battery capacity of real-time detection, setting energy storage system discharges is interval, based on SOC muti-layer control tactics, management is optimized to energy-storage system energy, real-time correction energy-storage system charge-discharge electric power, optimize energy-storage system service behaviour, formulate and implement optimum control strategy, ensure that micro-capacitance sensor participates in bulk power grid voltage-regulation according to the demand of bulk power grid when grid-connected, ensure voltage stabilization when being incorporated into the power networks.

To achieve these goals, the invention provides a kind of method for supervising of the wind-light storage one micro-capacitance sensor be incorporated into the power networks, method comprises the steps:

S1. the service data of wind power plant and photovoltaic power generation equipment monitoring module Real-time Obtaining wind power plant and photovoltaic power generation equipment, and store data, Real-time Obtaining micro-capacitance sensor internal burden power demand conditions; According to the service data of wind power plant, photovoltaic power generation equipment, predict the output of the wind power plant in following predetermined instant, photovoltaic power generation equipment is meritorious and idle;

S2. grid-connected point voltage information is gathered, simultaneously and idle output demand meritorious according to bulk power grid dispatch command determination micro-capacitance sensor;

S3. detect the SOC obtaining battery module in real time, setting energy storage system discharges is interval, builds SOC muti-layer control tactics;

S4. micro-capacitance sensor is meritorious and idle output demand, current SOC muti-layer control tactics, current micro-capacitance sensor internal burden power demand, wind power plant and photovoltaic power generation equipment are exportable meritorious and idle as constraints, realize the optimizing operation of micro-capacitance sensor.

Preferably, in step s3, following concrete steps are specifically comprised:

S31. energy storage system discharges is set interval

The interval determiner of described energy storage system discharges does not break through the period that electrical network can utilize spatial margins value after receiving wind power, the discharge range α of setting energy-storage system, 0≤α <100%, namely energy storage system discharges power with receive remaining space ratio after wind-powered electricity generation to be α; α=1 when if system can utilize space without residue, α=0 if energy-storage system does not discharge; Energy-storage system charge-discharge electric power based on discharge range α is as follows:

$\left\{\begin{array}{cc}{P}_{\mathrm{ESS}}\left(t\right)=P_{\mathrm{wd}}\left(t\right)-P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)& P_{\mathrm{wd}}\left(t\right)>P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)\\ P_{\mathrm{ESS}}\left(t\right)=\mathrm{\&alpha;}(P_{\mathrm{wd}}\left(t\right)-P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right))& P_{\mathrm{wd}}\left(t\right)<P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)\end{array}\right.---\left(1\right)$

Wherein P _eSSt () is t energy-storage system charge-discharge electric power; P _wd(t), be respectively t wind energy turbine set and optical electric field group real output sum and wind-powered electricity generation and photoelectricity and can run territory extreme value; α is the discharge range of energy-storage system;

Energy-storage system charge-discharge energy E _tand energy-storage system discharge and recharge cumulative capacity W after each scheduling slot terminates _tas follows:

$E_t=\left\{\begin{array}{cc}{\&Integral;}_{t1}^{t2}{P}_{\mathrm{ESS}}{\mathrm{\&eta;}}_{\mathrm{ch}\arg e}\mathrm{dt}& P_{\mathrm{ESS}}>0\\ {\&Integral;}_{t1}^{t2}{P}_{\mathrm{ESS}}/{\mathrm{\&eta;}}_{\mathrm{disch}\arg e}\mathrm{dt}& P_{\mathrm{ESS}}<0\end{array}\right.---\left(2\right)$

$W_t=E_0+\underset{i=1}{\overset{t}{\mathrm{\&Sigma;}}}{E}_t---\left(3\right)$

Wherein t ₁, t ₂be respectively the initial of discharge and recharge and finish time; η _charge, η _dischargebe respectively the efficiency for charge-discharge of energy-storage system; P _eSSfor energy-storage system charge-discharge electric power; E ₀for energy-storage system primary power.

S32. SOC muti-layer control tactics is built

Described SOC multi-layer controller, is divided into following five levels by energy-storage system SOC according to charging and discharging capabilities: the emergency stratum that do not charge, less charge preventive stratum, normal discharge and recharge safe floor, less discharge preventive stratum, do not discharge emergency stratum;

Energy-storage system charge-discharge energy requirements P _eSS, through the adjusted coefficient K that energy storage EMS is determined _sOCcarry out dynamic conditioning, obtain energy-storage system actual discharge and recharge instruction P _{sOC_ESS}; K _sOCvalue is similar with Sigmoid function characteristic, therefore utilizes Sigmoid function to revise it, embodies as follows:

Under energy-storage system is in charged state, P _eSS(t) >0

$K_{\mathrm{SOC}}=\left\{\begin{array}{cc}0,& S_{\max }\&le;S\&le;100\%\\ \frac{1}{1+e^{-10(x_c-0.5)}},& S_{\mathrm{pre}\_\max }<S<S_{\max }\\ 1,& 0\&le;S\&le;S_{\mathrm{pre}\_\max }\end{array}\right.---\left(5\right)$

x _c＝(S-S _max)/(S _{pre_max}-S _max) (6)

Energy-storage system is in _{electric discharge}under state, P _eSS(t) <0

$K_{\mathrm{SOC}}=\left\{\begin{array}{cc}0,& 0\%\&le;S\&le;S_{\min }\\ \frac{1}{1+e^{-10(x_f-0.5)}},& S_{\min }<S<S_{\mathrm{pre}\_\min }\\ 1,& S_{\mathrm{pre}\_\min }\&le;S\&le;100\%\end{array}\right.---\left(7\right)$

x _f＝(S-S _min)/(S _{pre_min}-S _min) (8)

Through regulation coefficient K _sOCthe actual charge-discharge electric power P of energy-storage system is determined in correction _{sOC_ESS}(t) be:

P _{SOC_ESS}(t)＝K _SOCP _ESS(t) (9)

Wherein S is the state-of-charge of energy-storage system; S _maxfor the lower limit of the emergency stratum that do not charge; S _max, S _{pre_max}for the bound of few charging preventive stratum; S _{pre_max}, S _{pre_min}for the bound of normal discharge and recharge safe floor; S _minfor the lower limit of few electric discharge preventive stratum; X _cfor calculating K under energy-storage system charged state _sOCcoefficient; X _ffor calculating K under energy storage system discharges state _sOCcoefficient.

Preferably, photovoltaic power generation equipment comprises photovoltaic module, in step sl described, predicts the power output of photovoltaic power generation equipment in the following way:

S11. the model of exerting oneself of photovoltaic module is set up: P _pv(t)=η _invη _pv(t) G (t) S _pv(10)

S in formula _pvfor photovoltaic panel receives the area (m of solar irradiation radiation ²), G (t) light radiation numerical value (W/m ²), η _pvt () is photovoltaic module energy conversion efficiency, η _invfor inverter conversion efficiency;

Wherein, the energy conversion efficiency of photovoltaic module is relevant with the temperature of environment, and ambient temperature on the impact of photovoltaic module energy conversion efficiency is:

${\mathrm{\&eta;}}_{\mathrm{pv}}\left(t\right)={\mathrm{\&eta;}}_r[1-\mathrm{\&beta;}(T_C\left(t\right)-T_{C_r})]---\left(11\right)$

η in formula _rfor the reference energy conversion efficiency of testing under photovoltaic module normal temperature, β is the influence coefficient of temperature to energy conversion efficiency, T _ct () is the temperature value of t photovoltaic module, T _crfor photovoltaic module normative reference temperature value; Photovoltaic module absorbs solar radiation, and can work with ambient temperature one and cause photovoltaic module temperature to change, its expression formula is as follows:

$T_C\left(t\right)-T=\frac{T_{\mathrm{rat}}}{800}G\left(t\right)---\left(12\right)$

In formula, T is the ambient temperature of surrounding, T _ratthe rated temperature that photovoltaic module runs;

S12. detect in real time and the information and ambient temperature at sunshine of periphery of collection photovoltaics assembly, according to history information at sunshine and ambient temperature, the intensity of sunshine in prediction a period of time in future and ambient temperature;

S13. according to the intensity of sunshine in following a period of time and ambient temperature, the model of exerting oneself of above-mentioned photovoltaic module is utilized to calculate the generated output of the photovoltaic power generation equipment in future time.

Preferably, also have the following steps after S1, according to wind speed and wind energy turbine set frequency modulation, pressure regulation spare capacity needs, utilize the hypervelocity of Wind turbines to control and award setting, determine the initial active power of each typhoon group of motors, reactive power is exerted oneself and initial speed, initial propeller pitch angle.

Preferably, the determination of the initial speed of each typhoon group of motors is relevant with wind speed, according to Wind turbines active power fan-out capability and the stand-by requirement of electric power system frequency modulation, wind speed is divided into threshold wind velocity section, low wind speed section, middle wind speed section and high wind speed section 4 part.Wherein, threshold wind velocity section is for incision wind speed is to threshold wind speed, and threshold wind velocity section Wind turbines active power fan-out capability is less, and it is little that rotation speed change exports impact to Wind turbines active power; The wind speed of the low wind speed section upper limit for utilizing hypervelocity to control to provide the stand-by requirement of whole electric power system frequency modulation; When high wind speed section lower limit is for employing MPPT maximum power point tracking, Wind turbines rotating speed reaches wind speed during maximum (top) speed; Corresponding different wind speed, the initial speed of Wind turbines is different, and initial speed ω and wind speed relation meet:

In formula (4), R _wfor Wind turbines radius, λ is the tip speed ratio that Wind turbines obtains when controlling according to MPPT maximum power point tracking, λ ' for Wind turbines according to the active power of reserved d% as the tip speed ratio obtained during frequency modulation spare capacity needs, v _{wind speed}for the Wind turbines wind speed detected, v _{threshold wind speed}for the maximum wind velocity of threshold wind velocity section, v _mid.infor the minimum windspeed of middle wind speed section.

Preferably, according to wind speed and wind energy turbine set frequency modulation, pressure regulation spare capacity needs, utilize the hypervelocity of Wind turbines to control and award setting, determine the initial active power of each typhoon group of motors, reactive power is exerted oneself, initial speed, initial propeller pitch angle, and the state-of-charge of energy storage device; Wherein the frequency modulation spare capacity needs of wind energy turbine set is exerted oneself with the initial active power of each typhoon group of motors, initial speed, initial propeller pitch angle and energy storage device state-of-charge be relevant, and the pressure regulation spare capacity needs of wind energy turbine set is exerted oneself relevant with the initial reactive power of each typhoon group of motors.

Preferably, in step s 4 which, for the distribution of micro-capacitance sensor active power, preferentially utilize the active reserve capacity of Wind turbines and photovoltaic power generation equipment self, when the active reserve capacity of Wind turbines and photovoltaic power generation equipment self is not enough, recycling energy-storage system makes up the deficiency that active power is exerted oneself.

Method for supervising tool of the present invention has the following advantages: the power output situation of change of (1) Accurate Prediction wind power plant and photovoltaic power generation equipment; (2) automatic tracing the change in voltage of site, determines and the reactive requirement of site in real time; (3) control strategy is taken into account and site reactive requirement and micro-capacitance sensor ruuning situation, can simultaneously for bulk power grid provides active power, and pass through reactive power according to certain priority by distinct device in micro-capacitance sensor, while the dispatching requirement meeting bulk power grid and micro-capacitance sensor internal load demand, can effectively press down micro-capacitance sensor to the impact of the voltage that bulk power grid causes; (4) energy storage system discharges is set interval, based on SOC muti-layer control tactics, management is optimized to energy-storage system energy, real-time correction energy-storage system charge-discharge electric power, optimize energy-storage system service behaviour, take into account the fail safe of power supply reliability and guarantee micro-capacitance sensor, extend the useful life of equipment in micro-capacitance sensor.

Accompanying drawing explanation

Fig. 1 shows a kind of wind-light storage one micro-capacitance sensor of being incorporated into the power networks of the present invention and the block diagram of supervising device thereof;

Fig. 2 shows a kind of operation and method for supervising of micro-capacitance sensor of the present invention.

Embodiment

Fig. 1 shows a kind of wind-light storage one micro-capacitance sensor 10 be incorporated into the power networks of the present invention, and this micro-capacitance sensor 10 comprises: wind power plant 14, photovoltaic power generation equipment 12, energy-storage system 13, SVG equipment 18, DC bus, the AC/DC two-way change of current module 1 for DC bus and bulk power grid 20 are connected and are isolated, the two-way change of current module 2 15 of AC/DC, micro-capacitance sensor internal burden 17 and the supervising device 11 that are used for connecting photovoltaic power generation equipment 12 and DC bus.

See Fig. 1, the two-way DC/DC converter 132 that this energy-storage system 13 comprises battery module 131, is connected with above-mentioned DC bus.

This supervising device 11 comprises: photovoltaic power generation equipment monitoring module 114, for the photovoltaic power generation equipment 12 in real-time monitoring battery energy-storage system 10, and predicts the generated output of photovoltaic power generation equipment 12; Energy-storage system monitoring module 115, for monitoring battery module 131 in energy-storage system 131 and DC/DC bidrectional transducer 132 in real time; Grid-connected pressure regulation monitoring module 112; Frequency modulation and voltage modulation module 116, participating in the frequency and voltage adjustment of bulk power grid 20, comprising FM module, voltage regulating module and Collaborative Control module for controlling micro-capacitance sensor 10; Middle control module 117, for determining the operation reserve of micro-capacitance sensor 10, and sends instruction to above-mentioned each module, to perform this power supply strategy; Wind power plant monitoring module 113, for monitoring wind power plant 14 in real time; Load monitoring module 118, for the load 17 in real-time micro-capacitance sensor 10; Bus module 111, for the liaison of the modules of this supervising device 11.

Communication module 111, for the communication between above-mentioned modules, described bus communication module 111 is connected with other modules by redundancy dual CAN bus.

Described grid-connected pressure regulation monitoring module 112 comprises: bulk power grid contact unit, regulates and controls center from bulk power grid 20 know the ruuning situation of bulk power grid 20 and relevant schedule information for real-time; AC/DC two-way change of current module one monitoring unit; For the mode of operation of the two-way change of current module one of control AC/DC, pressure regulation unit, for monitoring and the change in voltage of site, and determines the voltage compensation strategy of micro-capacitance sensor.

Described pressure regulation unit comprises grid-connected point voltage and measures subelement, reactive requirement determination subelement and idle output distribution subelement., described reactive requirement determination subelement determines current reactive requirement amount according to the error signal of magnitude of voltage and its voltage reference value that grid-connected point voltage measures subelement acquisition.The described idle idle Power generation limits of subelement according to wind power equipment and light-preserved system of exerting oneself, distributes to wind power plant, light-preserved system and SVG equipment by reactive requirement according to priority assign method.

Photovoltaic power generation equipment 12 comprises multiple photovoltaic generating module, and photovoltaic power generation equipment monitoring module 114 at least comprises voltage, electric current, frequency detection equipment, the light-intensity test equipment of photovoltaic power generation equipment.

The service data of described wind power plant monitoring module 113 Real-time Obtaining wind power plant 12, and store data.

Energy-storage system monitoring module 116 at least comprises accumulator voltage, electric current, SOC acquisition equipment and temperature testing equipment, can monitor the SOC of battery module in real time.

Preferably, the interval determiner of described energy storage system discharges does not break through the period that electrical network can utilize spatial margins value after receiving wind power, the discharge range α of setting energy-storage system, 0≤α <100%, namely energy storage system discharges power with receive remaining space ratio after wind-powered electricity generation to be α; α=1 when if system can utilize space without residue, α=0 if energy-storage system does not discharge; Energy-storage system charge-discharge electric power based on discharge range α is as follows:

$\left\{\begin{array}{cc}{P}_{\mathrm{ESS}}\left(t\right)=P_{\mathrm{wd}}\left(t\right)-P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)& P_{\mathrm{wd}}\left(t\right)>P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)\\ P_{\mathrm{ESS}}\left(t\right)=\mathrm{\&alpha;}(P_{\mathrm{wd}}\left(t\right)-P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right))& P_{\mathrm{wd}}\left(t\right)<P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)\end{array}\right.---\left(1\right)$

Wherein P _eSSt () is t energy-storage system charge-discharge electric power; P _wd(t), be respectively t wind energy turbine set and optical electric field group real output sum and wind-powered electricity generation and photoelectricity and can run territory extreme value; α is the discharge range of energy-storage system;

Energy-storage system charge-discharge energy E _tand energy-storage system discharge and recharge cumulative capacity W after each scheduling slot terminates _tas follows:

$E_t=\left\{\begin{array}{cc}{\&Integral;}_{t1}^{t2}{P}_{\mathrm{ESS}}{\mathrm{\&eta;}}_{\mathrm{ch}\arg e}\mathrm{dt}& P_{\mathrm{ESS}}>0\\ {\&Integral;}_{t1}^{t2}{P}_{\mathrm{ESS}}/{\mathrm{\&eta;}}_{\mathrm{disch}\arg e}\mathrm{dt}& P_{\mathrm{ESS}}<0\end{array}\right.---\left(2\right)$

$W_t=E_0+\underset{i=1}{\overset{t}{\mathrm{\&Sigma;}}}{E}_t---\left(3\right)$

Wherein t ₁, t ₂be respectively the initial of discharge and recharge and finish time; η _charge, η _dischargebe respectively the efficiency for charge-discharge of energy-storage system; P _eSSfor energy-storage system charge-discharge electric power; E ₀for energy-storage system primary power.

Preferably, described SOC multi-layer controller, is divided into following five levels by energy-storage system SOC according to charging and discharging capabilities: the emergency stratum that do not charge, less charge preventive stratum, normal discharge and recharge safe floor, less discharge preventive stratum, do not discharge emergency stratum.

Preferably, energy-storage system charge-discharge energy requirements P _eSS, through the adjusted coefficient K that energy storage EMS is determined _sOCcarry out dynamic conditioning, obtain energy-storage system actual discharge and recharge instruction P _{sOC_ESS}; K _sOCvalue is similar with Sigmoid function characteristic, therefore utilizes Sigmoid function to revise it, embodies as follows:

Under energy-storage system is in charged state, P _eSS(t) >0

$K_{\mathrm{SOC}}=\left\{\begin{array}{cc}0,& S_{\max }\&le;S\&le;100\%\\ \frac{1}{1+e^{-10(x_c-0.5)}},& S_{\mathrm{pre}\_\max }<S<S_{\max }\\ 1,& 0\&le;S\&le;S_{\mathrm{pre}\_\max }\end{array}\right.---\left(5\right)$

x _c＝(S-S _max)/(S _{pre_max}-S _max) (6)

Energy-storage system is in _{electric discharge}under state, P _eSS(t) <0

$K_{\mathrm{SOC}}=\left\{\begin{array}{cc}0,& 0\%\&le;S\&le;S_{\min }\\ \frac{1}{1+e^{-10(x_f-0.5)}},& S_{\min }<S<S_{\mathrm{pre}\_\min }\\ 1,& S_{\mathrm{pre}\_\min }\&le;S\&le;100\%\end{array}\right.---\left(7\right)$

x _f＝(S-S _min)/(S _{pre_min}-S _min) (8)

Through regulation coefficient K _sOCthe actual charge-discharge electric power P of energy-storage system is determined in correction _{sOC_ESS}(t) be:

P _{SOC_ESS}(t)＝K _SOCP _ESS(t) (9)

Wherein S is the state-of-charge of energy-storage system; S _maxfor the lower limit of the emergency stratum that do not charge; S _max, S _{pre_max}for the bound of few charging preventive stratum; S _{pre_max}, S _{pre_min}for the bound of normal discharge and recharge safe floor; S _minfor the lower limit of few electric discharge preventive stratum; X _cfor calculating K under energy-storage system charged state _sOCcoefficient; X _ffor calculating K under energy storage system discharges state _sOCcoefficient.

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

Bulk power grid contact module 112 at least comprises Wireless Telecom Equipment.

Grid-connected point voltage measurement subelement at least comprises checkout equipment, data acquisition unit and data processing unit for detecting bulk power grid 20 and micro-capacitance sensor 10 voltage, electric current and frequency.Data acquisition unit comprises collection preliminary treatment and A/D modular converter, gathers eight tunnel telemetered signal amounts, comprises grid side A phase voltage, electric current, the three-phase voltage of energy-accumulating power station side, electric current.Remote measurement amount changes strong ac signal (5A/110V) into inner weak electric signal without distortion by the high-precision current in terminal and voltage transformer, after filtering process, enter A/D chip carry out analog-to-digital conversion, digital signal after conversion calculates through data processing unit, obtains three-phase voltage current value and the bulk power grid 20 side phase voltage current value of wind energy turbine set energy-storage system 10 side.The process of this telemetered signal amount have employed high-speed and high-density synchronized sampling, automatic frequency tracking technology also has the fft algorithm improved, so precision is fully guaranteed, the measurement and process that gain merit in wind energy turbine set energy-storage system 10 side, idle and electric energy is from first-harmonic to higher harmonic components can be completed.

See accompanying drawing 2, method of the present invention comprises the steps:

S1. the service data of wind power plant and photovoltaic power generation equipment monitoring module Real-time Obtaining wind power plant and photovoltaic power generation equipment, and store data, Real-time Obtaining micro-capacitance sensor internal burden power demand conditions; According to the service data of wind power plant, photovoltaic power generation equipment, predict the output of the wind power plant in following predetermined instant, photovoltaic power generation equipment is meritorious and idle;

S2. grid-connected point voltage information is gathered, simultaneously and idle output demand meritorious according to bulk power grid dispatch command determination micro-capacitance sensor;

S3. detect the SOC obtaining battery module in real time, setting energy storage system discharges is interval, builds SOC muti-layer control tactics;

S4. micro-capacitance sensor is meritorious and idle output demand, current SOC muti-layer control tactics, current micro-capacitance sensor internal burden power demand, wind power plant and photovoltaic power generation equipment are exportable meritorious and idle as constraints, realize the optimizing operation of micro-capacitance sensor.

Preferably, in step s3, following concrete steps are specifically comprised:

S31. energy storage system discharges is set interval

The interval determiner of described energy storage system discharges does not break through the period that electrical network can utilize spatial margins value after receiving wind power, the discharge range α of setting energy-storage system, 0≤α <100%, namely energy storage system discharges power with receive remaining space ratio after wind-powered electricity generation to be α; α=1 when if system can utilize space without residue, α=0 if energy-storage system does not discharge; Energy-storage system charge-discharge electric power based on discharge range α is as follows:

$\left\{\begin{array}{cc}{P}_{\mathrm{ESS}}\left(t\right)=P_{\mathrm{wd}}\left(t\right)-P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)& P_{\mathrm{wd}}\left(t\right)>P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)\\ P_{\mathrm{ESS}}\left(t\right)=\mathrm{\&alpha;}(P_{\mathrm{wd}}\left(t\right)-P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right))& P_{\mathrm{wd}}\left(t\right)<P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)\end{array}\right.---\left(1\right)$

Wherein P _eSSt () is t energy-storage system charge-discharge electric power; P _wd(t), be respectively t wind energy turbine set and optical electric field group real output sum and wind-powered electricity generation and photoelectricity and can run territory extreme value; α is the discharge range of energy-storage system;

Energy-storage system charge-discharge energy E _tand energy-storage system discharge and recharge cumulative capacity W after each scheduling slot terminates _tas follows:

$E_t=\left\{\begin{array}{cc}{\&Integral;}_{t1}^{t2}{P}_{\mathrm{ESS}}{\mathrm{\&eta;}}_{\mathrm{ch}\arg e}\mathrm{dt}& P_{\mathrm{ESS}}>0\\ {\&Integral;}_{t1}^{t2}{P}_{\mathrm{ESS}}/{\mathrm{\&eta;}}_{\mathrm{disch}\arg e}\mathrm{dt}& P_{\mathrm{ESS}}<0\end{array}\right.---\left(2\right)$

$W_t=E_0+\underset{i=1}{\overset{t}{\mathrm{\&Sigma;}}}{E}_t---\left(3\right)$

Wherein t ₁, t ₂be respectively the initial of discharge and recharge and finish time; η _charge, η _dischargebe respectively the efficiency for charge-discharge of energy-storage system; P _eSSfor energy-storage system charge-discharge electric power; E ₀for energy-storage system primary power.

S32. SOC muti-layer control tactics is built

Described SOC multi-layer controller, is divided into following five levels by energy-storage system SOC according to charging and discharging capabilities: the emergency stratum that do not charge, less charge preventive stratum, normal discharge and recharge safe floor, less discharge preventive stratum, do not discharge emergency stratum;

Energy-storage system charge-discharge energy requirements P _eSS, through the adjusted coefficient K that energy storage EMS is determined _sOCcarry out dynamic conditioning, obtain energy-storage system actual discharge and recharge instruction P _{sOC_ESS}; K _sOCvalue is similar with Sigmoid function characteristic, therefore utilizes Sigmoid function to revise it, embodies as follows:

Under energy-storage system is in charged state, P _eSS(t) >0

$K_{\mathrm{SOC}}=\left\{\begin{array}{cc}0,& S_{\max }\&le;S\&le;100\%\\ \frac{1}{1+e^{-10(x_c-0.5)}},& S_{\mathrm{pre}\_\max }<S<S_{\max }\\ 1,& 0\&le;S\&le;S_{\mathrm{pre}\_\max }\end{array}\right.---\left(5\right)$

x _c＝(S-S _max)/(S _{pre_max}-S _max) (6)

Energy-storage system is in _{electric discharge}under state, P _eSS(t) <0

$K_{\mathrm{SOC}}=\left\{\begin{array}{cc}0,& 0\%\&le;S\&le;S_{\min }\\ \frac{1}{1+e^{-10(x_f-0.5)}},& S_{\min }<S<S_{\mathrm{pre}\_\min }\\ 1,& S_{\mathrm{pre}\_\min }\&le;S\&le;100\%\end{array}\right.---\left(7\right)$

x _f＝(S-S _min)/(S _{pre_min}-S _min) (8)

Through regulation coefficient K _sOCthe actual charge-discharge electric power P of energy-storage system is determined in correction _{sOC_ESS}(t) be:

P _{SOC_ESS}(t)＝K _SOCP _ESS(t) (9)

Wherein S is the state-of-charge of energy-storage system; S _maxfor the lower limit of the emergency stratum that do not charge; S _max, S _{pre_max}for the bound of few charging preventive stratum; S _{pre_max}, S _{pre_min}for the bound of normal discharge and recharge safe floor; S _minfor the lower limit of few electric discharge preventive stratum; X _cfor calculating K under energy-storage system charged state _sOCcoefficient; X _ffor calculating K under energy storage system discharges state _sOCcoefficient.

Preferably, photovoltaic power generation equipment comprises photovoltaic module, in step sl described, predicts the power output of photovoltaic power generation equipment in the following way:

S11. the model of exerting oneself of photovoltaic module is set up: P _pv(t)=η _invη _pv(t) G (t) S _pv(10)

S in formula _pvfor photovoltaic panel receives the area (m of solar irradiation radiation ²), G (t) light radiation numerical value (W/m ²), η _pvt () is photovoltaic module energy conversion efficiency, η _invfor inverter conversion efficiency;

Wherein, the energy conversion efficiency of photovoltaic module is relevant with the temperature of environment, and ambient temperature on the impact of photovoltaic module energy conversion efficiency is:

${\mathrm{\&eta;}}_{\mathrm{pv}}\left(t\right)={\mathrm{\&eta;}}_r[1-\mathrm{\&beta;}(T_C\left(t\right)-T_{C_r})]---\left(11\right)$

η in formula _rfor the reference energy conversion efficiency of testing under photovoltaic module normal temperature, β is the influence coefficient of temperature to energy conversion efficiency, T _ct () is the temperature value of t photovoltaic module, T _crfor photovoltaic module normative reference temperature value; Photovoltaic module absorbs solar radiation, and can work with ambient temperature one and cause photovoltaic module temperature to change, its expression formula is as follows:

$T_C\left(t\right)-T=\frac{T_{\mathrm{rat}}}{800}G\left(t\right)---\left(12\right)$

In formula, T is the ambient temperature of surrounding, T _ratthe rated temperature that photovoltaic module runs;

S12. detect in real time and the information and ambient temperature at sunshine of periphery of collection photovoltaics assembly, according to history information at sunshine and ambient temperature, the intensity of sunshine in prediction a period of time in future and ambient temperature;

S13. according to the intensity of sunshine in following a period of time and ambient temperature, the model of exerting oneself of above-mentioned photovoltaic module is utilized to calculate the generated output of the photovoltaic power generation equipment in future time.

Preferably, also have the following steps after S1, according to wind speed and wind energy turbine set frequency modulation, pressure regulation spare capacity needs, utilize the hypervelocity of Wind turbines to control and award setting, determine the initial active power of each typhoon group of motors, reactive power is exerted oneself and initial speed, initial propeller pitch angle.

Preferably, the determination of the initial speed of each typhoon group of motors is relevant with wind speed, according to Wind turbines active power fan-out capability and the stand-by requirement of electric power system frequency modulation, wind speed is divided into threshold wind velocity section, low wind speed section, middle wind speed section and high wind speed section 4 part.Wherein, threshold wind velocity section is for incision wind speed is to threshold wind speed, and threshold wind velocity section Wind turbines active power fan-out capability is less, and it is little that rotation speed change exports impact to Wind turbines active power; The wind speed of the low wind speed section upper limit for utilizing hypervelocity to control to provide the stand-by requirement of whole electric power system frequency modulation; When high wind speed section lower limit is for employing MPPT maximum power point tracking, Wind turbines rotating speed reaches wind speed during maximum (top) speed; Corresponding different wind speed, the initial speed of Wind turbines is different, and initial speed ω and wind speed relation meet:

In formula (4), R _wfor Wind turbines radius, λ is the tip speed ratio that Wind turbines obtains when controlling according to MPPT maximum power point tracking, λ ' for Wind turbines according to the active power of reserved d% as the tip speed ratio obtained during frequency modulation spare capacity needs, v _{wind speed}for the Wind turbines wind speed detected, v _{threshold wind speed}for the maximum wind velocity of threshold wind velocity section, v _mid.infor the minimum windspeed of middle wind speed section.

Preferably, according to wind speed and wind energy turbine set frequency modulation, pressure regulation spare capacity needs, utilize the hypervelocity of Wind turbines to control and award setting, determine the initial active power of each typhoon group of motors, reactive power is exerted oneself, initial speed, initial propeller pitch angle, and the state-of-charge of energy storage device; Wherein the frequency modulation spare capacity needs of wind energy turbine set is exerted oneself with the initial active power of each typhoon group of motors, initial speed, initial propeller pitch angle and energy storage device state-of-charge be relevant, and the pressure regulation spare capacity needs of wind energy turbine set is exerted oneself relevant with the initial reactive power of each typhoon group of motors.

Wind energy turbine set frequency modulation spare capacity needs is controlled jointly to provide with award setting by the hypervelocity of each typhoon group of motors.After how many wind energy turbine set frequency modulation spare capacity needs is born in the hypervelocity control and award setting of determining Wind turbines respectively, can obtain corresponding to the initial speed of this wind energy turbine set frequency modulation spare capacity needs and initial propeller pitch angle, and send initial active power by initial speed and initial award setting Wind turbines.When wind speed is in threshold wind velocity section, Wind turbines adopts MPPT maximum power point tracking to control, and ignores wind energy turbine set frequency modulation spare capacity needs; When low wind speed section, the wind energy turbine set frequency modulation non-firm power that power system dispatching requires Wind turbines to reserve all is controlled to provide by the hypervelocity of Wind turbines; In middle wind speed section, frequency modulation non-firm power is preferentially controlled to provide by the hypervelocity of Wind turbines, and insufficient section utilizes the award setting of Wind turbines to provide; In high wind speed section, Wind turbines adopts constant speed control, and frequency modulation non-firm power provides by the award setting of Wind turbines.

Preferably, in step s 4 which, for the distribution of micro-capacitance sensor active power, preferentially utilize the active reserve capacity of Wind turbines and photovoltaic power generation equipment self, when the active reserve capacity of Wind turbines and photovoltaic power generation equipment self is not enough, recycling energy-storage system makes up the deficiency that active power is exerted oneself.

Above content is in conjunction with concrete preferred implementation further description made for the present invention, can not assert that specific embodiment of the invention is confined to these explanations.For general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, make some equivalent to substitute or obvious modification, and performance or purposes identical, all should be considered as belonging to protection scope of the present invention.

Claims (7)

1. a method for supervising for the wind-light storage one micro-capacitance sensor that can be incorporated into the power networks, method comprises the steps:

S1. the service data of wind power plant and photovoltaic power generation equipment monitoring module Real-time Obtaining wind power plant and photovoltaic power generation equipment, and store data, Real-time Obtaining micro-capacitance sensor internal burden power demand conditions; According to the service data of wind power plant, photovoltaic power generation equipment, predict the output of the wind power plant in following predetermined instant, photovoltaic power generation equipment is meritorious and idle;

S2. grid-connected point voltage information is gathered, simultaneously and idle output demand meritorious according to bulk power grid dispatch command determination micro-capacitance sensor;

S3. detect the SOC obtaining battery module in real time, setting energy storage system discharges is interval, builds SOC muti-layer control tactics;

S4. micro-capacitance sensor is meritorious and idle output demand, current SOC muti-layer control tactics, current micro-capacitance sensor internal burden power demand, wind power plant and photovoltaic power generation equipment are exportable meritorious and idle as constraints, realize the optimizing operation of micro-capacitance sensor.

2. the method for claim 1, is characterized in that, in step s3, specifically comprises following concrete steps:

S31. energy storage system discharges is set interval

The interval determiner of described energy storage system discharges does not break through the period that electrical network can utilize spatial margins value after receiving wind power, the discharge range α of setting energy-storage system, 0≤α <100%, namely energy storage system discharges power with receive remaining space ratio after wind-powered electricity generation to be α; α=1 when if system can utilize space without residue, α=0 if energy-storage system does not discharge; Energy-storage system charge-discharge electric power based on discharge range α is as follows:

$\left\{\begin{array}{cc}{P}_{\mathrm{ESS}}\left(t\right)=P_{\mathrm{wd}}\left(t\right)-P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)& P_{\mathrm{wd}}\left(t\right)>P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)\\ P_{\mathrm{ESS}}\left(t\right)=\mathrm{\&alpha;}(P_{\mathrm{wd}}\left(t\right)-P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right))& P_{\mathrm{wd}}\left(t\right)<P_{\mathrm{limit}}^{\mathrm{space}}\left(t\right)\end{array}\right.---\left(1\right)$

Wherein P _eSSt () is t energy-storage system charge-discharge electric power; P _wd(t), be respectively t wind energy turbine set and optical electric field group real output sum and wind-powered electricity generation and photoelectricity and can run territory extreme value; α is the discharge range of energy-storage system;

Energy-storage system charge-discharge energy E _tand energy-storage system discharge and recharge cumulative capacity W after each scheduling slot terminates _tas follows:

$E_t=\left\{\begin{array}{cc}{\&Integral;}_{t1}^{t2}{P}_{\mathrm{ESS}}{\mathrm{\&eta;}}_{\mathrm{ch}\arg e}\mathrm{dt}& P_{\mathrm{ESS}}>0\\ {\&Integral;}_{t1}^{t2}{P}_{\mathrm{ESS}}/{\mathrm{\&eta;}}_{\mathrm{disch}\arg e}\mathrm{dt}& P_{\mathrm{ESS}}<0\end{array}\right.---\left(2\right)$

$W_t=E_0+\underset{i=1}{\overset{t}{\mathrm{\&Sigma;}}}{E}_t---\left(3\right)$

Wherein t ₁, t ₂be respectively the initial of discharge and recharge and finish time; η _charge, η _dischargebe respectively the efficiency for charge-discharge of energy-storage system; P _eSSfor energy-storage system charge-discharge electric power; E ₀for energy-storage system primary power.

S32. SOC muti-layer control tactics is built

Described SOC multi-layer controller, is divided into following five levels by energy-storage system SOC according to charging and discharging capabilities: the emergency stratum that do not charge, less charge preventive stratum, normal discharge and recharge safe floor, less discharge preventive stratum, do not discharge emergency stratum;

Energy-storage system charge-discharge energy requirements P _eSS, through the adjusted coefficient K that energy storage EMS is determined _sOCcarry out dynamic conditioning, obtain energy-storage system actual discharge and recharge instruction P _{sOC_ESS}; K _sOCvalue is similar with Sigmoid function characteristic, therefore utilizes Sigmoid function to revise it, embodies as follows:

Under energy-storage system is in charged state, P _eSS(t) >0

$K_{\mathrm{SOC}}=\left\{\begin{array}{cc}0,& S_{\max }\&le;S\&le;100\%\\ \frac{1}{1+e^{-10(x_c-0.5)}},& S_{\mathrm{pre}\_\max }<S<S_{\max }\\ 1,& 0\&le;S\&le;S_{\mathrm{pre}\_\max }\end{array}\right.---\left(5\right)$

x _c＝(S-S _max)/(S _{pre_max}-S _max) (6)

Energy-storage system is in _{electric discharge}under state, P _eSS(t) <0

$K_{\mathrm{SOC}}=\left\{\begin{array}{cc}0,& 0\%\&le;S\&le;S_{\min }\\ \frac{1}{1+e^{-10(x_f-0.5)}},& S_{\min }<S<S_{\mathrm{pre}\_\min }\\ 1,& S_{\mathrm{pre}\_\min }\&le;S\&le;100\%\end{array}\right.---\left(7\right)$

x _f＝(S-S _min)/(S _{pre_min}-S _min) (8)

Through regulation coefficient K _sOCthe actual charge-discharge electric power P of energy-storage system is determined in correction _{sOC_ESS}(t) be:

P _{SOC_ESS}(t)＝K _SOCP _ESS(t) (9)

Wherein S is the state-of-charge of energy-storage system; S _maxfor the lower limit of the emergency stratum that do not charge; S _max, S _{pre_max}for the bound of few charging preventive stratum; S _{pre_max}, S _{pre_min}for the bound of normal discharge and recharge safe floor; S _minfor the lower limit of few electric discharge preventive stratum; X _cfor calculating K under energy-storage system charged state _sOCcoefficient; X _ffor calculating K under energy storage system discharges state _sOCcoefficient.

3. method as claimed in claim 2, it is characterized in that, in step s3, photovoltaic power generation equipment comprises photovoltaic module, in step sl described, predicts the power output of photovoltaic power generation equipment in the following way:

S11. the model of exerting oneself of photovoltaic module is set up: P _pv(t)=η _invη _pv(t) G (t) S _pv(10)

S in formula _pvfor photovoltaic panel receives the area (m of solar irradiation radiation ²), G (t) light radiation numerical value (W/m ²), η _pvt () is photovoltaic module energy conversion efficiency, η _invfor inverter conversion efficiency;

Wherein, the energy conversion efficiency of photovoltaic module is relevant with the temperature of environment, and ambient temperature on the impact of photovoltaic module energy conversion efficiency is:

${\mathrm{\&eta;}}_{\mathrm{pv}}\left(t\right)={\mathrm{\&eta;}}_r[1-\mathrm{\&beta;}(T_C\left(t\right)-T_{C_r})]---\left(11\right)$

η in formula _rfor the reference energy conversion efficiency of testing under photovoltaic module normal temperature, β is the influence coefficient of temperature to energy conversion efficiency, T _ct () is the temperature value of t photovoltaic module, T _crfor photovoltaic module normative reference temperature value; Photovoltaic module absorbs solar radiation, and can work with ambient temperature one and cause photovoltaic module temperature to change, its expression formula is as follows:

$T_C\left(t\right)-T=\frac{T_{\mathrm{rat}}}{800}G\left(t\right)---\left(12\right)$

In formula, T is the ambient temperature of surrounding, T _ratthe rated temperature that photovoltaic module runs;

S12. detect in real time and the information and ambient temperature at sunshine of periphery of collection photovoltaics assembly, according to history information at sunshine and ambient temperature, the intensity of sunshine in prediction a period of time in future and ambient temperature;

S13. according to the intensity of sunshine in following a period of time and ambient temperature, the model of exerting oneself of above-mentioned photovoltaic module is utilized to calculate the generated output of the photovoltaic power generation equipment in future time.

4. method as claimed in claim 3, it is characterized in that, in step s3, also have the following steps after S1, according to wind speed and wind energy turbine set frequency modulation, pressure regulation spare capacity needs, utilize the hypervelocity of Wind turbines to control and award setting, determine the initial active power of each typhoon group of motors, reactive power is exerted oneself and initial speed, initial propeller pitch angle.

5. method as claimed in claim 4, it is characterized in that, in step s3, the determination of the initial speed of each typhoon group of motors is relevant with wind speed, according to Wind turbines active power fan-out capability and the stand-by requirement of electric power system frequency modulation, wind speed is divided into threshold wind velocity section, low wind speed section, middle wind speed section and high wind speed section 4 part.Wherein, threshold wind velocity section is for incision wind speed is to threshold wind speed, and threshold wind velocity section Wind turbines active power fan-out capability is less, and it is little that rotation speed change exports impact to Wind turbines active power; The wind speed of the low wind speed section upper limit for utilizing hypervelocity to control to provide the stand-by requirement of whole electric power system frequency modulation; When high wind speed section lower limit is for employing MPPT maximum power point tracking, Wind turbines rotating speed reaches wind speed during maximum (top) speed; Corresponding different wind speed, the initial speed of Wind turbines is different, and initial speed ω and wind speed relation meet:

In formula (4), R _wfor Wind turbines radius, λ is the tip speed ratio that Wind turbines obtains when controlling according to MPPT maximum power point tracking, λ ' for Wind turbines according to the active power of reserved d% as the tip speed ratio obtained during frequency modulation spare capacity needs, v _{wind speed}for the Wind turbines wind speed detected, v _{threshold wind speed}for the maximum wind velocity of threshold wind velocity section, v _mid.infor the minimum windspeed of middle wind speed section.

6. method as claimed in claim 5, it is characterized in that, in step s3, according to wind speed and wind energy turbine set frequency modulation, pressure regulation spare capacity needs, the hypervelocity of Wind turbines is utilized to control and award setting, determine that initial active power, the reactive power of each typhoon group of motors are exerted oneself, initial speed, initial propeller pitch angle, and the state-of-charge of energy storage device; Wherein the frequency modulation spare capacity needs of wind energy turbine set is exerted oneself with the initial active power of each typhoon group of motors, initial speed, initial propeller pitch angle and energy storage device state-of-charge be relevant, and the pressure regulation spare capacity needs of wind energy turbine set is exerted oneself relevant with the initial reactive power of each typhoon group of motors.

7. method as claimed in claim 6, it is characterized in that, in step s3, in step s 4 which, for the distribution of micro-capacitance sensor active power, preferentially utilize the active reserve capacity of Wind turbines and photovoltaic power generation equipment self, when the active reserve capacity of Wind turbines and photovoltaic power generation equipment self is not enough, recycling energy-storage system makes up the deficiency that active power is exerted oneself.