CN104734196B - A kind of supervising device of the wind-light storage one micro-capacitance sensor being incorporated into the power networks - Google Patents

Abstract

A kind of supervising device of the wind-light storage one micro-capacitance sensor being incorporated into the power networks, load change in the generated output of the wind light generation equipment in the measurable micro-capacitance sensor of this supervising device and micro-capacitance sensor, traceable bulk power grid grid-connected point voltage information, obtain bulk power grid dispatch command in real time, the battery module battery capacity of detection in real time, setting energy storage system discharges is interval, based on SOC muti-layer control tactics, energy-storage system energy is optimized management, revise energy-storage system charge-discharge electric power in real time, optimize energy-storage system service behaviour, formulate and implement optimum control strategy, ensure that the micro-capacitance sensor demand according to bulk power grid when grid-connected participates in bulk power grid voltage-regulation, ensure voltage stabilization when being incorporated into the power networks.

Description

A kind of supervising device of the wind-light storage one micro-capacitance sensor being incorporated into the power networks

Art

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

Background technology

The energy and environmental crisis have become as the major issue affecting Human Sustainable Development, cleaning, the profit of regenerative resource With being the fundamental way solving this problem.Along with renewable energy power generation technology such as wind-power electricity generation, photovoltaic generation, wave-activated power generations Maturation, increasing regenerative resource micro-capacitance sensor form in a distributed manner access electrical network, meet the daily production of people, life use The demand of electricity.

Using the micro-capacitance sensor of wind-powered electricity generation and photovoltaic generation as supertension, the supplementing of remote, bulk power grid powering mode, generation The developing direction that power system is new by table.The motive power of Wind turbines is wind energy, and wind energy is due to the intermittence of wind and random fluctuation Property make the power sent of Wind turbines be interval and fluctuate, the wind energy access system of these undulatory propertys can give power system Bring impact.Simultaneously as Wind turbines is asynchronous machine, if not being controlled by, while sending active power, need to absorb Certain reactive power, does not utilize the voltage stabilization of system.When wind-powered electricity generation permeability is relatively low, these impacts are inconspicuous, along with wind The raising of electro-osmosis rate, the impact of power system is gradually increased by wind energy, while bring economic benefit to power system also Certain difficulty is caused to the operation of electrical network.

In the power system that the grid-connected proportion of wind light generation is bigger, owing to wind energy turbine set and photovoltaic DC field output have not Complete controllability and expection property, can change the distribution of original electric power system tide, circuit conveying power and whole to a certain extent The inertia of system, thus meritorious, reactive power equilibrium, the frequency and voltage stabilization on electrical network creates impact.Energy storage technology is very Solve undulatory property and the stochastic problems of generation of electricity by new energy in big degree, be effectively improved the predictability in intermittent micro-source, determine Property and economy.Additionally, energy storage technology is meritorious at frequency modulation and voltage modulation and improvement system, reactive balance level, improve micro-capacitance sensor stable Effect in terms of service ability also obtain widely studied and proves.In the power system that wind light generation permeability is higher, electricity When the Force system frequency of occurrences and change in voltage, it is desirable to wind-light storage cluster is to the real-time of stability of power system and the quality of power supply relatively By force, it is necessary to according to the real-time status of power system, the regulating power of wind-light storage cluster, guarantee power system are fully taken into account Reliable and economical operation.

Summary of the invention

The present invention provides the supervising device of a kind of wind-light storage being incorporated into the power networks one micro-capacitance sensor, and this supervising device is measurable Load change in the generated output of the wind light generation equipment in micro-capacitance sensor and micro-capacitance sensor, the grid-connected point voltage of traceable bulk power grid is believed Breath, obtains bulk power grid dispatch command, in real time the battery module battery capacity of detection in real time, sets energy storage system discharges interval, Based on SOC muti-layer control tactics, energy-storage system energy is optimized management, revises energy-storage system charge-discharge electric power in real time, excellent Change energy-storage system service behaviour, formulate and implement optimum control strategy, ensure micro-capacitance sensor when grid-connected according to bulk power grid Demand participates in bulk power grid voltage-regulation, ensures voltage stabilization when being incorporated into the power networks.

To achieve these goals, the present invention provides the monitoring dress of a kind of wind-light storage being incorporated into the power networks one micro-capacitance sensor Putting, this supervising device includes:

Wind-power electricity generation generating equipment monitoring module, monitors wind power plant in real time, and to wind power plant Generated output is predicted；

Photovoltaic power generation equipment monitoring module, monitors photovoltaic power generation equipment, and the generating to photovoltaic power generation equipment in real time Power is predicted；

Energy-storage system monitoring module, can monitor SOC and the DC/DC reversible transducer of battery module in real time, including: energy storage System discharge interval determiner and SOC multi-layer controller, can revise energy-storage system charge-discharge electric power, it is ensured that energy storage in real time System has works fine performance；

Load monitoring module, the load in monitoring energy-accumulating power station in real time；

Middle control module, for determining the operation reserve of micro-capacitance sensor, and each module in above-mentioned supervising device sends instruction, To perform this operation reserve；

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

Grid-connected pressure regulation monitoring module, wherein said grid-connected pressure regulation monitoring module includes:

Bulk power grid gets in touch with unit, knows the ruuning situation of bulk power grid and relevant tune in real time from bulk power grid regulation and control center Degree information；

AC/DC two-way change of current module one monitoring unit, for controlling the mode of operation of AC/DC two-way change of current module one；

Pressure regulation unit, for monitoring the change in voltage of site, and determines the voltage compensation strategy of micro-capacitance sensor.

Preferably, energy-storage system monitoring module at least includes that accumulator voltage, electric current, SOC obtain equipment and temperature Detection equipment.

Preferably, described energy storage system discharges interval determiner is not broken through electrical network after wind power and be may utilize space receiving The period of ultimate value, set energy-storage system discharge range α, 0≤α < 100%, i.e. energy storage system discharges power with receive wind-powered electricity generation Rear remaining space ratio is α；If α=1 during system space available without residue, α=0 if energy-storage system does not discharge；Based on putting The energy-storage system charge-discharge electric power of the interval α of electricity 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)、It is respectively t wind energy turbine set Territory extreme value can be run with optical electric field group's real output sum and wind-powered electricity generation and photoelectricity；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 Shown in:

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

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

Wherein t₁, t₂It is respectively the initial of discharge and recharge and finish time；η_charge, η_dischargeIt is respectively filling of energy-storage system Discharging efficiency；P_ESSFor energy-storage system charge-discharge electric power；E₀For energy-storage system primary power.

Preferably, described SOC multi-layer controller, energy-storage system SOC is divided into following five levels according to charging and discharging capabilities: Do not charge emergency stratum, 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 correction factor that energy storage EMS determines K_SOCDynamically adjust, obtain energy-storage system actual discharge and recharge instruction P_{SOC_ESS}；K_SOCIt is worth similar with Sigmoid function characteristic, Hence with Sigmoid function, it is modified, embodies as follows:

Energy-storage system is under 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)

Adjusted COEFFICIENT K_SOCCorrection determines energy-storage system actual charge-discharge electric power P_{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_maxLower limit for the emergency stratum that do not charges；S_max、S_{pre_max}For few charging The bound of preventive stratum；S_{pre_max}、S_{pre_min}Bound for normal discharge and recharge safe floor；S_minFor under few electric discharge preventive stratum Limit；X_cFor calculating K under energy-storage system charged state_SOCCoefficient；X_fFor calculating K under energy storage system discharges state_SOCCoefficient.

Preferably, described pressure regulation unit includes that grid-connected point voltage is measured subelement, reactive requirement and determined subelement and idle Output distribution subelement.

Preferably, described reactive requirement determine subelement according to grid-connected point voltage measure subelement obtain magnitude of voltage and its The error signal of voltage reference value determines current idle demand.

Preferably, described idle subelement of exerting oneself is according to wind power equipment and the idle Power generation limits of light-preserved system, by idle Demand distributes to wind power plant, light-preserved system and SVG equipment according to priority distribution method.

Preferably, photovoltaic power generation equipment monitoring module at least includes photovoltaic power generation equipment voltage, current detecting equipment, light intensity And temperature testing equipment.

Preferably, described photovoltaic power generation equipment monitoring module obtains the service data of photovoltaic power generation equipment in real time, and stores Data.

Preferably, described wind power plant monitoring module at least includes wind power plant voltage, electric current and frequency inspection Measurement equipment, wind speed measurement equipment.

Preferably, described wind power plant monitoring module obtains the service data of wind power plant in real time, and stores Data.

The supervising device of the present invention has the advantage that (1) Accurate Prediction wind power plant and photovoltaic power generation equipment Output situation of change；(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 provide active power for bulk power grid simultaneously, and according to necessarily Priority by reactive power, is met dispatching requirement and the micro-capacitance sensor internal load demand of bulk power grid by distinct device in micro-capacitance sensor While, can effectively press down the impact of the voltage that bulk power grid is caused by micro-capacitance sensor；(4) energy storage system discharges is set interval, based on SOC Muti-layer control tactics, is optimized management to energy-storage system energy, revises energy-storage system charge-discharge electric power in real time, optimizes energy storage system System service behaviour, has taken into account power supply reliability and has ensured the safety of micro-capacitance sensor, extends the service life of equipment in micro-capacitance sensor.

Accompanying drawing explanation

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

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

Detailed description of the invention

Fig. 1 shows a kind of wind-light storage one micro-capacitance sensor 10 being incorporated into the power networks of the present invention, and this micro-capacitance sensor 10 includes: Wind power plant 14, photovoltaic power generation equipment 12, energy-storage system 13, SVG equipment 18, dc bus, for by dc bus with AC/DC two-way change of current module 1 that bulk power grid 20 connects and isolates, for connecting photovoltaic power generation equipment 12 and dc bus Load 17 and supervising device 11 in AC/DC two-way change of current module 2 15, micro-capacitance sensor.

Seeing Fig. 1, this energy-storage system 13 includes that the two-way DC/DC that battery module 131 is connected with above-mentioned dc bus becomes Parallel operation 132.

This supervising device 11 includes: photovoltaic power generation equipment monitoring module 114, in monitoring battery energy storage system 10 in real time Photovoltaic power generation equipment 12, and the generated output of photovoltaic power generation equipment 12 is predicted；Energy-storage system monitoring module 115, uses Battery module 131 and DC/DC bidrectional transducer 132 in monitoring energy-storage system 131 in real time；Grid-connected pressure regulation monitoring module 112；Frequency modulation and voltage modulation module 116, participates in frequency and the Voltage Cortrol of bulk power grid 20, including frequency modulation mould for controlling micro-capacitance sensor 10 Block, voltage regulating module and Collaborative Control module；Middle control module 117, for determining the operation reserve of micro-capacitance sensor 10, and to above-mentioned each mould Block sends instruction, to perform this power supply strategy；Wind power plant monitoring module 113, monitors wind power plant in real time 14；Load monitoring module 118, the load 17 in real-time micro-capacitance sensor 10；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 double by redundancy CAN is connected with other modules.

Described grid-connected pressure regulation monitoring module 112 includes: bulk power grid contact unit, for regulating and controlling center from bulk power grid 20 in real time Know the ruuning situation of bulk power grid 20 and relevant schedule information；AC/DC two-way change of current module one monitoring unit；For controlling The mode of operation of AC/DC two-way change of current module one, pressure regulation unit, for monitoring the change in voltage of site, and determine micro-capacitance sensor Voltage compensation strategy.

Described pressure regulation unit includes that grid-connected point voltage measures subelement, reactive requirement determines subelement and idle output distribution Subelement., described reactive requirement determines that subelement measures, according to grid-connected point voltage, magnitude of voltage and its voltage ginseng that subelement obtains The error signal examining value determines current idle demand.Described idle subelement of exerting oneself is according to wind power equipment and the nothing of light-preserved system Merit Power generation limits, distributes to wind power plant, light-preserved system and SVG equipment by reactive requirement according to priority distribution method.

Photovoltaic power generation equipment 12 includes that multiple photovoltaic generating module, photovoltaic power generation equipment monitoring module 114 at least include light The volt voltage of generating equipment, electric current, frequency detection equipment, light-intensity test equipment.

Described wind power plant monitoring module 113 obtains the service data of wind power plant 12 in real time, and stores number According to.

Energy-storage system monitoring module 116 at least includes that accumulator voltage, electric current, SOC obtain equipment and temperature detection Equipment, can monitor the SOC of battery module in real time.

Preferably, described energy storage system discharges interval determiner is not broken through electrical network after wind power and be may utilize space receiving The period of ultimate value, set energy-storage system discharge range α, 0≤α < 100%, i.e. energy storage system discharges power with receive wind-powered electricity generation Rear remaining space ratio is α；If α=1 during system space available without residue, α=0 if energy-storage system does not discharge；Based on putting The energy-storage system charge-discharge electric power of the interval α of electricity 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)、It is respectively t wind energy turbine set Territory extreme value can be run with optical electric field group's real output sum and wind-powered electricity generation and photoelectricity；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 Shown in:

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

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

Wherein t₁, t₂It is respectively the initial of discharge and recharge and finish time；η_charge, η_dischargeIt is respectively filling of energy-storage system Discharging efficiency；P_ESSFor energy-storage system charge-discharge electric power；E₀For energy-storage system primary power.

Preferably, described SOC multi-layer controller, energy-storage system SOC is divided into following five levels according to charging and discharging capabilities: Do not charge emergency stratum, 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 correction factor that energy storage EMS determines K_SOCDynamically adjust, obtain energy-storage system actual discharge and recharge instruction P_{SOC_ESS}；K_SOCIt is worth similar with Sigmoid function characteristic, Hence with Sigmoid function, it is modified, embodies as follows:

Energy-storage system is under 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)

Adjusted COEFFICIENT K_SOCCorrection determines energy-storage system actual charge-discharge electric power P_{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_maxLower limit for the emergency stratum that do not charges；S_max、S_{pre_max}For few charging The bound of preventive stratum；S_{pre_max}、S_{pre_min}Bound for normal discharge and recharge safe floor；S_minFor under few electric discharge preventive stratum Limit；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 includes CPU element, data storage cell and display unit.

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

Grid-connected point voltage is measured subelement and is at least included for detecting bulk power grid 20 and micro-capacitance sensor 10 voltage, electric current and frequency Detection equipment, data acquisition unit and data processing unit.Data acquisition unit comprises collection pretreatment and A/D modulus of conversion Block, 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 By the high-precision current in terminal and voltage transformer, strong ac signal (5A/110V) can be changed into inside without distortion Weak electric signal, enters A/D chip and carries out analog digital conversion after filtered process, converted after digital signal through data processing unit Calculate, it is thus achieved that the three-phase voltage current value of wind energy turbine set energy-storage system 10 side and bulk power grid 20 side phase voltage current value.This remote measurement is believed Number amount processes and have employed high-speed and high-density synchronized sampling, automatic frequency tracking technology also has the fft algorithm improved, so precision obtains To fully ensuring that, it is possible to complete the survey that wind energy turbine set energy-storage system 10 side is meritorious, idle and electric energy is from first-harmonic to higher harmonic components Amount and process.

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

S1. wind power plant and photovoltaic power generation equipment monitoring module obtain wind power plant in real time and photovoltaic generation sets Standby service data, and store data, obtain load power demand situation in micro-capacitance sensor in real time；According to wind power plant, light The service data of volt generating equipment, the output to the wind power plant in following predetermined instant, photovoltaic power generation equipment meritorious and Idle it is predicted；

S2. gather grid-connected point voltage information, determine the meritorious and idle output of micro-capacitance sensor according to bulk power grid dispatch command simultaneously Demand；

S3. detection obtains the SOC of battery module in real time, sets energy storage system discharges interval, builds SOC hierarchical control plan Slightly；

S4. in meritorious and idle for micro-capacitance sensor output demand, current SOC muti-layer control tactics, current micro-capacitance sensor, merit is loaded Rate demand, wind power plant and photovoltaic power generation equipment are exportable meritorious and idle as constraints, it is achieved micro-capacitance sensor excellent Change and run.

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

S31. energy storage system discharges is set interval

Described energy storage system discharges interval determiner is not broken through electrical network after receiving wind power and be may utilize spatial margins value Period, < 100%, i.e. energy storage system discharges power remains after wind-powered electricity generation with receiving to set the discharge range α, 0≤α of energy-storage system Space ratio be α；If α=1 during system space available without residue, α=0 if energy-storage system does not discharge；Based on discharge range α Energy-storage system charge-discharge electric power 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)、It is respectively t wind energy turbine set Territory extreme value can be run with optical electric field group's real output sum and wind-powered electricity generation and photoelectricity；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 Shown in:

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

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

Wherein t₁, t₂It is respectively the initial of discharge and recharge and finish time；η_charge, η_dischargeIt is respectively filling of energy-storage system Discharging efficiency；P_ESSFor energy-storage system charge-discharge electric power；E₀For 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: do not charge Emergency stratum, 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 determines_SOCMove State adjusts, and obtains energy-storage system actual discharge and recharge instruction P_{SOC_ESS}；K_SOCIt is worth similar with Sigmoid function characteristic, hence with It is modified by Sigmoid function, embodies as follows:

Energy-storage system is under 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)

Adjusted COEFFICIENT K_SOCCorrection determines energy-storage system actual charge-discharge electric power P_{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_maxLower limit for the emergency stratum that do not charges；S_max、S_{pre_max}For few charging The bound of preventive stratum；S_{pre_max}、S_{pre_min}Bound for normal discharge and recharge safe floor；S_minFor under few electric discharge preventive stratum Limit；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 includes photovoltaic module, described in step sl, prediction photovoltaic is sent out in the following way The output of electricity equipment:

S11. the model of exerting oneself of photovoltaic module: P is set up_pv(t)=η_invη_pv(t)G(t)S_pv (10)

S in formula_pvArea (the m of solar irradiation radiation is received for photovoltaic panel²), G (t) light radiation numerical value (W/m²), η_pv T () 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 photovoltaic module energy is turned by ambient temperature The impact changing efficiency is:

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

η in formula_rFor the reference energy conversion efficiency of test under photovoltaic module standard temperature, β is that temperature is to energy conversion effect Rate affect coefficient, T_CT () is the temperature value of t photovoltaic module, T_CrFor photovoltaic module reference standard temperature value；Photovoltaic module Absorbing solar radiation, 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. the information and ambient temperature at sunshine of the real-time periphery of detection and collection photovoltaics assembly, according to history information at sunshine And ambient temperature, it was predicted that the intensity of sunshine in following a period of time 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 The generated output of the photovoltaic power generation equipment in calculating 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 controls and award setting, determine the initial active power of each typhoon group of motors, reactive power exert 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, defeated according to Wind turbines active power Output capacity and power system frequency modulation stand-by requirement, be divided into threshold wind velocity section, low wind speed section, middle wind speed section and high wind speed by wind speed Section 4 parts.Wherein, threshold wind velocity section is incision wind speed to threshold wind speed, threshold wind velocity section Wind turbines active power output energy Power is less, and rotation speed change is little on the output impact of Wind turbines active power；The low wind speed section upper limit can carry for utilizing hypervelocity control Wind speed for whole power system frequency modulation stand-by requirements；When high wind speed section lower limit is for using 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, initial speed ω and wind speed Relation meets:

In formula (4), R_WFor Wind turbines radius, λ is the leaf that Wind turbines obtains when controlling according to MPPT maximum power point tracking Tip-speed ratio, λ ' for Wind turbines according to the active power of reserved d% as frequency modulation spare capacity needs time the tip speed ratio that obtains, 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.inMinimum wind for middle wind speed section Speed.

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

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 determining that the hypervelocity of Wind turbines controls to undertake how many wind energy turbine set frequency modulation spare capacity needs respectively with award setting, available Corresponding to initial speed and the initial propeller pitch angle of this wind energy turbine set frequency modulation spare capacity needs, and by initial speed and initial propeller pitch angle Control Wind turbines and send initial active power.When wind speed is in threshold wind velocity section, Wind turbines use maximum power point with Track controls, and ignores wind energy turbine set frequency modulation spare capacity needs；When low wind speed section, electric power system dispatching requires what Wind turbines was reserved Wind energy turbine set frequency modulation non-firm power all is controlled to provide by the hypervelocity of Wind turbines；In middle wind speed section, frequency modulation non-firm power preferentially by The hypervelocity of Wind turbines controls to provide, and insufficient section utilizes the award setting of Wind turbines to provide；At high wind speed section, wind turbine Group uses constant speed control, and frequency modulation non-firm power is provided by the award setting of Wind turbines.

Preferably, in step s 4, for the distribution of micro-capacitance sensor active power, Wind turbines and photovoltaic generation are preferentially utilized The active reserve capacity of equipment self, when the active reserve capacity deficiency of Wind turbines and photovoltaic power generation equipment self, then profit The deficiency that active power is exerted oneself is made up with energy-storage system.

Above content is to combine concrete preferred implementation further description made for the present invention, it is impossible to assert Being embodied as of the present invention is confined to these explanations.For general technical staff of the technical field of the invention, On the premise of present inventive concept, make some equivalents and substitute or obvious modification, and performance or purposes are identical, all should It is considered as belonging to protection scope of the present invention.

Claims (10)

1. a supervising device for the wind-light storage one micro-capacitance sensor can being incorporated into the power networks, this supervising device includes:

Wind power plant monitoring module, monitors wind power plant, and the generated output to wind power plant in real time It is predicted；

Photovoltaic power generation equipment monitoring module, monitors photovoltaic power generation equipment, and the generated output to photovoltaic power generation equipment in real time It is predicted；

Energy-storage system monitoring module, can monitor SOC and the DC/DC reversible transducer of battery module in real time, including: energy-storage system Discharge range determiner and SOC multi-layer controller, can revise energy-storage system charge-discharge electric power, it is ensured that energy-storage system in real time There is works fine performance；

Load monitoring module, the load in monitoring energy-accumulating power station in real time；

Middle control module, for determining the operation reserve of micro-capacitance sensor, and each module in above-mentioned supervising device sends instruction, to hold This operation reserve of row；

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

Grid-connected pressure regulation monitoring module, wherein said grid-connected pressure regulation monitoring module includes:

Bulk power grid contact unit, knows the ruuning situation of bulk power grid and relevant scheduling letter in real time from bulk power grid regulation and control center Breath；

AC/DC two-way change of current module one monitoring unit, for controlling the mode of operation of AC/DC two-way change of current module one；

Pressure regulation unit, for monitoring the change in voltage of site, and determines the voltage compensation strategy of micro-capacitance sensor；

Wherein, energy-storage system monitoring module at least includes that accumulator voltage, electric current, SOC obtain equipment and temperature detection sets Standby；

Described energy storage system discharges interval determiner receive do not break through after wind power electrical network may utilize spatial margins value time Section, set energy-storage system discharge range α, 0≤α < 100%, i.e. energy storage system discharges power with receive remaining sky after wind-powered electricity generation Between ratio be α；If α=1 during system space available without residue, α=0 if energy-storage system does not discharge；Storage based on discharge range α Energy system charge-discharge electric power is as follows:

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

Wherein P_ESST () is t energy-storage system charge-discharge electric power；P_wdT () is t wind energy turbine set and the actual output of optical electric field group Power sum；Territory extreme value can be run for t wind-powered electricity generation and photoelectricity；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_tFollowing institute Show:

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

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

Wherein t₁, t₂It is respectively the initial of discharge and recharge and finish time；η_charge, η_dischargeIt is respectively the charging effect of energy-storage system Rate, discharging efficiency；P_ESSFor energy-storage system charge-discharge electric power；E₀For energy-storage system primary power.

2. supervising device as claimed in claim 1, it is characterised in that described SOC multi-layer controller, presses energy-storage system SOC Be divided into following five levels according to charging and discharging capabilities: the emergency stratum that do not charges, less charge preventive stratum, normal discharge and recharge safe floor, put less Electricity preventive stratum, do not discharge emergency stratum.

3. supervising device as claimed in claim 2, it is characterised in that energy-storage system charge-discharge electric power P_ESS, through energy storage energy pipe The adjusted coefficient K that reason system determines_SOCDynamically adjust, obtain energy-storage system actual discharge and recharge instruction P_{SOC_ESS}；K_SOCValue with Sigmoid function characteristic is similar to, and is modified it hence with Sigmoid function, embodies as follows:

Energy-storage system is under charged state, P_ESS(t)>0

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

x_c=(S-S_max)/(S_{pre_max}-S_max) (6)

Energy-storage system is under discharge condition, P_ESS(t)<0

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

x_f=(S-S_min)/(S_{pre_min}-S_min) (8)

It is corrected COEFFICIENT K_SOCCorrection determines that the actual discharge and recharge of energy-storage system instructs P_{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_maxLower limit for the emergency stratum that do not charges；S_max、S_{pre_max}It is respectively as few charging The upper and lower limit of preventive stratum；S_{pre_max}、S_{pre_min}It is respectively the upper and lower limit of normal discharge and recharge safe floor；S_minFor few electric discharge preventive stratum Lower limit；x_cFor calculating K under energy-storage system charged state_SOCCoefficient；x_fFor calculating K under energy storage system discharges state_SOCBe Number.

4. supervising device as claimed in claim 3, it is characterised in that it is single that described pressure regulation unit includes that grid-connected point voltage measures son Unit, reactive requirement determine subelement and idle output distribution subelement.

5. supervising device as claimed in claim 4, it is characterised in that described reactive requirement determines that subelement is according to also site electricity The error signal of magnitude of voltage and its voltage reference value that pressure measures subelement acquisition determines current idle demand.

6. supervising device as claimed in claim 5, it is characterised in that described idle output distribution subelement is according to wind-power electricity generation Equipment and the idle Power generation limits of photovoltaic power generation equipment, distribute to wind-power electricity generation by reactive requirement according to priority distribution method and set Standby, photovoltaic power generation equipment and SVG equipment.

7. supervising device as claimed in claim 6, it is characterised in that photovoltaic power generation equipment monitoring module at least includes that photovoltaic is sent out Electricity equipment voltage, current detecting equipment, light intensity and temperature testing equipment.

8. supervising device as claimed in claim 7, it is characterised in that described photovoltaic power generation equipment monitoring module obtains light in real time The service data of volt generating equipment, and store data.

9. supervising device as claimed in claim 8, it is characterised in that described wind power plant monitoring module at least includes wind Power generating equipment voltage, electric current and frequency detection equipment, wind speed measurement equipment.

10. supervising device as claimed in claim 9, it is characterised in that described wind power plant monitoring module obtains in real time The service data of wind power plant, and store data.