CN103887825A - Method for controlling microgrid operation - Google Patents

Abstract

The invention provides a method for controlling microgrid operation. The method comprises the following steps that data information of a plurality of wind electricity and photovoltaic electricity generating systems is obtained from a microgrid and the output power of each wind electricity and photovoltaic electricity generating system is calculated according to the data information; particles of the preset number in a plurality of hydroelectric generating systems are generated according to preset limiting conditions of the output power of the hydroelectric generating systems in the microgrid and a particle cluster is generated according to the particles of the preset number; the fitness value of each particle in the particle cluster is calculated and an overall optimal particle in the particle cluster and an individual optimal particle of each particle are determined; when a preset stopping condition is met, the output power of the hydroelectric generating systems is adjusted according to the overall optimal particle. According to the method, the output power in the hydroelectric generating systems is effectively controlled so that good compensation of the hydroelectric generating systems and the wind electricity and photovoltaic electricity generating systems can be achieved, it can be guaranteed that an electric system and a reservoir are safe and reliable and the electricity sale income of the microgrid can be the largest.

Description

Micro-operation of power networks control method

Technical field

The present invention relates to electric power network technique field, relate in particular to a kind of micro-operation of power networks control method.

Background technology

In recent years, renewable distributed energy generation technology relies on its environmental friendliness, reduce investment outlay, generate electricity flexibly etc., and advantage has obtained development fast, and wherein, renewable distributed energy generation technology mainly comprises the generation technologies such as water power, wind-powered electricity generation and photovoltaic.But, in the process of utilizing renewable energy power generation, due to the impact of the unfavorable factors such as randomness, intermittence and the anti-peak regulation characteristic of wind energy, easily cause wind power output power to have very large fluctuation, operation brings larger pressure to power system safety and stability to cause wind-electricity integration, has had a strong impact on the extensive use of distribution type renewable energy.

At present, can regulate the contradiction between large electrical network and renewable distributed power source by micro-electrical network, but, existing micro-electrical network cannot effectively be controlled the distributed generation system of the technology such as comprehensive water power, wind-powered electricity generation and photovoltaic, therefore can not fully excavate value and the benefit of distribution type renewable energy generating, cause the reliability of micro-electrical network and economical all very low.

Summary of the invention

The present invention is intended at least one of solve the problems of the technologies described above.

For this reason, the object of the invention is to propose a kind of micro-operation of power networks control method.The method is by controlling the power output in water power electricity generation system, utilize the regulating power of water power electricity generation system medium waterpower generator station in micro-electrical network, can with micro-electrical network in wind-powered electricity generation electricity generation system and photovoltaic generating system formed good complementation, thereby in guaranteeing electric power system and reservoir safe and reliable, can make again micro-electrical network to large electrical network power selling income maximum.In addition, to micro-electrical network medium waterpower generator station often the situation on a river take in, set up the step small power station model more gearing to actual circumstances.

To achieve these goals, micro-operation of power networks control method of the embodiment of the present invention, comprise the following steps: obtain the data message of multiple wind-powered electricity generation electricity generation systems and photovoltaic generating system in micro-electrical network, and calculate respectively the power output of each wind-powered electricity generation electricity generation system and photovoltaic generating system according to described data message; Generate the particle of default number in each water power electricity generation system according to the default qualifications of the power output of multiple water power electricity generation systems in described micro-electrical network, and generate population according to the particle of described default number; Calculate the fitness value of each particle in described population, and determine global optimum's particle in described population and the individual optimal particle of each particle; In the time meeting default end condition, adjust the power output of described water power electricity generation system according to described global optimum particle.

Micro-operation of power networks control method of the embodiment of the present invention, by controlling the power output in water power electricity generation system, utilize the regulating power of water power electricity generation system medium waterpower generator station in micro-electrical network, can with micro-electrical network in wind-powered electricity generation electricity generation system and photovoltaic generating system formed good complementation, thereby in guaranteeing electric power system and reservoir safe and reliable, can make again micro-electrical network to large electrical network power selling income maximum.In addition, to micro-electrical network medium waterpower generator station often the situation on a river take in, set up the step small power station model more gearing to actual circumstances.

The aspect that the present invention is additional and advantage in the following description part provide, and part will become obviously from the following description, or recognize by practice of the present invention.

Accompanying drawing explanation

The present invention above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments obviously and easily and understand, wherein,

Fig. 1 is the flow chart of micro-operation of power networks control method of one embodiment of the invention;

Embodiment

Describe embodiments of the invention below in detail, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has the element of identical or similar functions from start to finish.Be exemplary below by the embodiment being described with reference to the drawings, only for explaining the present invention, and can not be interpreted as limitation of the present invention.On the contrary, embodiments of the invention comprise all changes, modification and the equivalent within the scope of spirit and the intension that falls into additional claims.

In description of the invention, it will be appreciated that, term " first ", " second " etc. are only for describing object, and can not be interpreted as indication or hint relative importance.In description of the invention, it should be noted that, unless otherwise clearly defined and limited, term " is connected ", " connection " should be interpreted broadly, and for example, can be to be fixedly connected with, and can be also to removably connect, or connects integratedly; Can be mechanical connection, can be also electrical connection; Can be to be directly connected, also can indirectly be connected by intermediary.For the ordinary skill in the art, can concrete condition understand above-mentioned term concrete meaning in the present invention.In addition,, in description of the invention, except as otherwise noted, the implication of " multiple " is two or more.

Any process of otherwise describing in flow chart or at this or method are described and can be understood to, represent to comprise that one or more is for realizing module, fragment or the part of code of executable instruction of step of specific logical function or process, and the scope of the preferred embodiment of the present invention comprises other realization, wherein can be not according to order shown or that discuss, comprise according to related function by the mode of basic while or by contrary order, carry out function, this should be understood by embodiments of the invention person of ordinary skill in the field.

Describe according to micro-operation of power networks control method of the embodiment of the present invention below with reference to accompanying drawing.

Fig. 1 is the flow chart of micro-operation of power networks control method of one embodiment of the invention.

As shown in Figure 1, this micro-operation of power networks control method comprises the following steps.

S101, obtains the data message of multiple wind-powered electricity generation electricity generation systems and photovoltaic generating system in micro-electrical network, and calculates respectively the power output of each wind-powered electricity generation electricity generation system and photovoltaic generating system according to data message.

Particularly, in data message, mainly comprise each period wind speed and solar irradiation intensity data curve in one day.

Should be appreciated that the data message of multiple wind-powered electricity generation electricity generation systems and photovoltaic generating system in obtaining micro-electrical network, also should obtain micro-electric network model, each node load data and curves, micro-electrical network is to large electrical network sale of electricity and buy electric price curve.

In an embodiment of the present invention, after obtaining data message, can obtain the air speed value v of wind-powered electricity generation electricity generation system position, and calculate the active-power P of wind-powered electricity generation electricity generation system according to air speed value v _wt, and calculate the power output of wind-powered electricity generation electricity generation system according to active power (v).Wherein, in wind-powered electricity generation electricity generation system, can comprise one or many typhoons motor.

Particularly, can calculate according to following formula the active-power P of wind-powered electricity generation electricity generation system _wt(v),

$P_{\mathrm{wt}}\left(v\right)=\left\{\begin{array}{cc}0,& 0\≤v\≤v_{\mathrm{ci}}\\ P_{\mathrm{wtR}}(v-v_{\mathrm{ci}})/(v_r-v_{\mathrm{ci}})& v_{\mathrm{ci}}\≤v\≤v_r\\ P_{\mathrm{wtR}},& v_r\≤v\≤v_{\mathrm{co}}\\ 0,& v_{\mathrm{co}}\≤v\end{array}\right.---\left(1\right)$

Wherein, P _wt(v) be the active power of wind-powered electricity generation electricity generation system in the time of air speed value v, that is to say P _wt(v) while being air speed value v, the active power accumulative total sum of wind-powered electricity generation electricity generation system apoplexy group of motors, v _cifor incision wind speed, be the minimum windspeed limits value that wind-powered electricity generation electricity generation system can be moved generating, v _rfor rated wind speed, v _cofor cut-out wind speed, be the maximum wind velocity limits value that wind-powered electricity generation electricity generation system can be moved generating, P _wtRfor the specified active power in wind-powered electricity generation electricity generation system.

At the active-power P that obtains wind-powered electricity generation electricity generation system _wt(v) afterwards, can be according to the active-power P of wind-powered electricity generation electricity generation system _wt(v) and reactive power calculate the power output of wind-powered electricity generation electricity generation system.In an embodiment of the present invention, the reactive power of wind-powered electricity generation electricity generation system is 0, that is to say, the active-power P of wind-powered electricity generation electricity generation system of the present invention _wt(v) equal with power output.

In an embodiment of the present invention, after obtaining the data message of micro-electrical network, can obtain the irradiance intensity of photovoltaic generating system present position, and calculate the active-power P of photovoltaic generating system according to following formula _pV,

$P_{\mathrm{PV}}=N_{\mathrm{PV}}{p}_{\mathrm{PV}}{f}_{\mathrm{PV}}\left(\frac{G_T}{G_{T,\mathrm{STC}}}\right)[1+{\mathrm{\α}}_P(T_c-T_{c,\mathrm{STC}})]---\left(2\right)$

Wherein, P _pVfor the active power of photovoltaic generating system; N _pVfor photovoltaic array quantity; p _pVfor the rated output power of photovoltaic generating system under standard test condition; f _pVfor photovoltaic output derating factor, it is mainly used in describing the coefficient that causes the actual output reduction of photovoltaic array due to photovoltaic array surface laying dust, accumulated snow, the reason such as be blocked, and its default value is 0.9; G _tfor irradiance intensity; G _{t, STC}for the light source irradiance intensity under standard test condition, its value is 1000w/m ²; α _pfor photovoltaic cell temperature power coefficient, wherein, photovoltaic cell temperature power coefficient α _prelevant with kind and the material of photovoltaic cell, for example, the polysilicon photovoltaic cells photovoltaic cell temperature power coefficient α of main flow in the market _pfor-0.5; T _{c, STC}for the photovoltaic cell working temperature under standard test condition, its value is 25 ℃; T _cfor the working temperature of photovoltaic cell in photovoltaic generating system.

Particularly, can calculate according to following formula the work temperature of photovoltaic cell in described photovoltaic generating system _c,

$T_c=T_a+\frac{G_T}{G_{T,\mathrm{NOCT}}}(T_{c,\mathrm{NOCT}}-T_{a,\mathrm{NOCT}})---\left(3\right)$

Wherein, T _afor ambient temperature; G _{t, NOCT}for the irradiance intensity at photovoltaic cell nominal operation temperature, its value is 800w/m ²; T _{c, NOCT}for photovoltaic battery temperature at nominal operation temperature, this temperature is mainly that photovoltaic cell manufacturer provides, and generally, at nominal operation temperature, photovoltaic battery temperature is 47 ℃ of left and right; T _{a, NOCT}for the ambient temperature of nominal operation temperature defined, its value is 20 ℃.

At the active-power P that obtains photovoltaic generating system _pVafterwards, can be according to the active-power P of photovoltaic generating system _pVpower output with reactive power calculating photovoltaic generating system.In an embodiment of the present invention, the reactive power of photovoltaic generating system is 0, that is to say the active-power P of photovoltaic generating system of the present invention _pVequate with power output.

S102, generates the particle of default number in each water power electricity generation system, and generates population according to the particle of default number according to the default qualifications of the power output of multiple water power electricity generation systems in micro-electrical network.

In an embodiment of the present invention, the power output of water power electricity generation system comprises: water power electricity generation system active power

and reactive power

.Particularly, according to the active power of multiple water power electricity generation systems in micro-electrical network

and reactive power the random particle that generates default number of default qualifications, wherein, particle is expressed as following form,

$\begin{array}{c}{X}_i=(P_{\mathrm{HT}1}^{t=1},P_{\mathrm{HT}2}^{t=1},...,P_{\mathrm{HTn}}^{t=1},P_{\mathrm{HT}1}^{t=2},P_{\mathrm{HT}2}^{t=2},...,P_{\mathrm{HTn}}^{t=2},......,P_{\mathrm{HT}1}^{t=T},P_{\mathrm{HT}2}^{t=T},...,P_{\mathrm{HTn}}^{t=T},\\ Q_{\mathrm{HT}1}^{t=1},Q_{\mathrm{HT}2}^{t=1},...,Q_{\mathrm{HTn}}^{t=1},Q_{\mathrm{HT}1}^{t=2},Q_{\mathrm{HT}2}^{t=2},...,Q_{\mathrm{HTn}}^{t=2},......,Q_{\mathrm{HT}1}^{t=T},Q_{\mathrm{HT}2}^{t=T},...,Q_{\mathrm{HTn}}^{t=T})\end{array}$

Wherein, n is the number of small power station in water power electricity generation system, hop count when T is cut apart in one day total.The active power of water power electricity generation system

and reactive power

default qualifications refers to the active power of water power electricity generation system

and reactive power

should meet between the upper limit, lower limit of active power that this system can normally work and reactive power, will introduce in detail in the following embodiments the upper limit, the lower limit of active power and reactive power.

S103, calculates the fitness value of each particle in population, and global optimum's particle in definite population and the individual optimal particle of each particle.

In an embodiment of the present invention, calculate the trend value of water power electricity generation system, and obtain the target function with Prescribed Properties according to the trend value of water power electricity generation system, and the fitness function of unconfined condition will be converted to the target function of Prescribed Properties, and calculate the fitness value of each particle in population according to the fitness function of unconfined condition.

First, determine water power electricity generation system medium waterpower generator station model in micro-electrical network, particularly, in micro-electrical network, small hydropower station in water power electricity generation system is often positioned on a river, form step small hydropower station group, angle for economy is considered, often only have reservoir at upstream first order small hydropower station, possesses certain regulating power, and be the radial-flow type small hydropower station without regulating power at the small hydropower station in downstream, energy output is subject to the impact of small hydropower station storehouse, upstream scheduling.

For convenient narration, we describe as an example of two-stage step small hydropower station example.

In water power electricity generation system i platform hydroelectric station exert oneself for:

$P_{\mathrm{HTi}}^t=A_i{Q}_i^t{H}_i^t---\left(4\right)$

Wherein,

for the active power in i platform hydroelectric station in t period water power electricity generation system; A _iit is the comprehensive power factor in i platform hydroelectric station;

be i platform hydroelectric station at t period generating flow,

be i platform hydroelectric station in the t period net head of on average generating electricity.

Water balance restrictive condition:

$\left\{\begin{array}{c}{\mathrm{VR}}^{t-1}-{\mathrm{VR}}^t+(q_1^t-Q_1^t-y_1^t)\mathrm{\Δt}=0\\ (q_2^t-Q_1^{t-\mathrm{\τ}}-y_1^{t-\mathrm{\τ}}-Q_2^t-t_2^t)\mathrm{\Δt}=0\end{array}\right.---\left(5\right)$

The hydroelectric station restrictive condition of exerting oneself:

$\underset{\‾}{P_i}\≤P_{\mathrm{HTi}}^t\≤\stackrel{\‾}{P_i}---\left(6\right)$

$\underset{\‾}{Q_{\mathrm{HTi}}}\≤Q_{\mathrm{HTi}}^t\≤\stackrel{\‾}{Q_{\mathrm{HTi}}}---\left(7\right)$

Hydropower station flow and reservoir storage restrictive condition:

$\underset{\‾}{Q_1}\≤Q_1^t\≤\stackrel{\‾}{Q_1}---\left(8\right)$

$\underset{\‾}{\mathrm{VR}}\≤{\mathrm{VR}}^t\≤\stackrel{\‾}{\mathrm{VR}}---\left(9\right)$

In formula (5), (6), (7), (8), (9), the initial reservoir storage VR of upper river reservoir ⁰for known; p _i ,

it is the upper and lower limit of i platform hydroelectric station active power;

for gaining merit and reactive power that send in t moment i platform hydroelectric station, q _hTi ,

it is the upper and lower limit that reactive power is sent in i platform hydroelectric station; VR ^tfor the water-holding quantity of t period upper pond; vR,

for the bound of upper pond reservoir storage;

for the natural water amount in t period upper water power station, average generating flow with abandon discharge;

for the average generating flow in interval inflow flow, lower station in hydroelectric station, t period upstream and downstream with abandon discharge; q ₁ ,

for the bound of upper pond generating flow; τ is that the stream of current from upper pond to lower reservoir reaches the time; Segment length when Δ t is.

Then, meeting micro-network load demand, line voltage distribution is no more than under the condition of boundary, is target with micro-electrical network in a day to the maximum to large electrical network power selling income, can be expressed as:

$\max F=\max \underset{t=1}{\overset{T}{\mathrm{\Σ}}}(E_{\mathrm{sell}}\left(t\right)P_{\mathrm{sell}}\left(t\right)-E_{\mathrm{buy}}\left(t\right)P_{\mathrm{buy}}\left(t\right))$

Wherein, F is that micro-electrical network is to large electrical network power selling income; Hop count when T is cut apart for one day total; T is the period; E _sell(t) be the price of micro-electrical network of t moment to large electrical network sale of electricity; P _sell(t) be the power of micro-electrical network of t moment to large electrical network sale of electricity, wherein, this power is the power output sum of wind-powered electricity generation electricity generation system in micro-electrical network, photovoltaic generation system and water power electricity generation system; E _buy(t) buy electric price for micro-electrical network of t moment to large electrical network; P _buy(t) buy electric power for micro-electrical network of t moment to large electrical network.After initialization population, calculate micro-electric network swim by Newton-Raphson method, can obtain the large electrical network in tie point place of micro-electrical network and large electrical network to the injecting power P of micro-electrical network _pCC(t), wherein, injecting power P _pCCand P (t) _selland P (t) _buy(t) there is certain relation, be embodied in: if P _pCC(t)>=0, P _buy(t)=P _pCC(t), P _sell(t)=0; If P _pCC(t) <0, P _sell(t)=P _pCC(t), P _buy(t)=0.

Write micro-electrical network the form of minimum value as to large electrical network power selling income and as target function to be optimized, can be expressed as:

$\min F^{\&prime;}=\min (-\left(\underset{t=1}{\overset{T}{\mathrm{\&Sigma;}}}(E_{\mathrm{sell}}\left(t\right)P_{\mathrm{sell}}\left(t\right)-E_{\mathrm{buy}}\left(t\right)P_{\mathrm{buy}}\left(t\right))\right))-$

In an embodiment of the present invention, after setting up step small hydropower station model, utilize trend constraint equation

$\left\{\begin{array}{c}{P}_i=U_i\underset{j=1}{\overset{N}{\mathrm{\&Sigma;}}}{U}_j(G_{\mathrm{ij}}\cos {\mathrm{\&delta;}}_{\mathrm{ij}}+B_{\mathrm{ij}}\sin {\mathrm{\&delta;}}_{\mathrm{ij}})\\ Q_i=U_i\underset{j=1}{\overset{N}{\mathrm{\&Sigma;}}}{U}_j(G_{\mathrm{ij}}\cos {\mathrm{\&delta;}}_{\mathrm{ij}}-B_{\mathrm{ij}}\sin {\mathrm{\&delta;}}_{\mathrm{ij}})\end{array}\right.---\left(12\right)$

Wherein, P _i, Q _ibe respectively injection active power and the reactive power of node i; U _i, U _jbe respectively the voltage of node i and j; N is the nodes in micro-electrical network; G _ij, B _ijreal part and the imaginary part of the admittance between node i and j; δ _ijthe phase difference of voltage between node i and j.

Wherein, voltage constraints is:

U _i,min≤U _i≤U _i,max，i=1,2,…,N _N （13）

Wherein, U _ibe i Nodes voltage; U _{i, max}and U _{i, min}be respectively the upper and lower bound value that i Nodes voltage allows.

Afterwards, according to each constraints of water power electricity generation system medium waterpower generator station in micro-electrical network, set up the target function with Prescribed Properties, can be expressed as:

min F′（x）

s.t.g _i(x)≥0 i=1,…,m

h _j(x)=0 j=1,…,n

（14）

Wherein, min F ' is (x) target function, i.e. the negative of the total power selling income of micro-electrical network, and x is the particle position vector in population, i.e. the particle position vector of the meritorious and reactive power composition in each water power electricity generation system, g _i(x) be inequality constraints condition, i.e. formula (6), (7), (8), (9) and (13); h _i(x) be equality constraint, i.e. formula (5); M, n are the quantity of corresponding constraints.

Finally, restricted problem can be converted into unconstrained problem according to for example exterior point Means of Penalty Function Methods, that is to say, exterior point Means of Penalty Function Methods can will be converted to the form of the fitness function of our required unconfined condition with the target function of Prescribed Properties.Particularly, can be by constraints the form with penalty item, count in target function, thereby obtain the fitness function of unconfined condition, can be expressed as:

$\min F^{\&prime;\&prime;}\left(x\right)=F^{\&prime;}\left(x\right)+\mathrm{\&sigma;}\{\mathrm{\&Sigma;}{\left(\max \right\{0,-g_i\left\}\right)}^2+\mathrm{\&Sigma;}{\left|h_j\right|}^2\}---\left(15\right)$

Wherein, F " is (x) the fitness function of unconfined condition, that is to say, after obtaining population, can " (x) calculate the fitness value that each particle is corresponding according to F; σ is default penalty factor, and particularly, the selection of presetting penalty factor σ in the fitness function of unconfined condition is very important, if default penalty factor σ is excessive, increases the difficulty on calculating to the minimization of penalty item; If default penalty factor σ is too little, the minimal point of penalty item is away from the optimal solution of restricted problem, and computational efficiency is poor.Wherein, default penalty factor σ can accurately calculate by existing method, herein for simplicity, repeats no more.

S104, in the time meeting default end condition, adjusts the power output of water power electricity generation system according to global optimum's particle.

In an embodiment of the present invention, default end condition can be the difference that reaches maximum iteration time and/or particle fitness value corresponding to default iterations and is less than predetermined threshold value.Wherein, maximum iteration time should be more than or equal to 50 times, and default iterations need be greater than or equal to 10 times, and predetermined threshold value is 10 ^-5.For instance, to population repeatedly after iteration, if the difference between the fitness value of the overall particle calculating for the 2nd time and the fitness value of the overall particle of the 12nd calculating is less than predetermined threshold value 10 ^-5, judgement meets default end condition, stops iteration, and according to the global optimum's particle calculating, now corresponding global optimum's particle is at the optimum of each moment each small hydropower station and gains merit and idle power output.After obtaining global optimum's particle, generate the control signal of each small hydropower station according to global optimum particle, according to control signal, by the reality of small power station, meritorious and idle power output is adjusted into the meritorious and idle power output of the optimum of each small hydropower station to each small hydropower station.Thus, realize the object of controlling the micro-operation of power networks that contains step small hydropower station.In addition, after adjusting the power output of water power electricity generation system, also can, according to the power output of the power output of water power electricity generation system and each wind-powered electricity generation electricity generation system and photovoltaic generating system, calculate the total power selling income of micro-electrical network, now micro-electrical network is to large electrical network power selling income maximum.

In an embodiment of the present invention, in the time not meeting default end condition, the more individual optimal particle of new particle and corresponding fitness value, upgrade global optimum's particle and the corresponding fitness value of population, until while meeting default end condition, stop iteration, output global optimum particle.Wherein, the process that particle upgrades is identical with existing standard particle group algorithm renewal process,, for simplicity, repeats no more herein.

Micro-operation of power networks control method of the embodiment of the present invention, by controlling the power output in water power electricity generation system, utilize the regulating power of water power electricity generation system medium waterpower generator station in micro-electrical network, can with micro-electrical network in wind-powered electricity generation electricity generation system and photovoltaic generating system formed good complementation, thereby in guaranteeing electric power system and reservoir safe and reliable, can make again micro-electrical network to large electrical network power selling income maximum.In addition, to micro-electrical network medium waterpower generator station often the situation on a river take in, set up the step small power station model more gearing to actual circumstances.

Should be appreciated that each several part of the present invention can realize with hardware, software, firmware or their combination.In the above-described embodiment, multiple steps or method can realize with being stored in software or the firmware carried out in memory and by suitable instruction execution system.For example, if realized with hardware, the same in another embodiment, can realize by any one in following technology well known in the art or their combination: there is the discrete logic for data-signal being realized to the logic gates of logic function, there is the application-specific integrated circuit (ASIC) of suitable combinational logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc.

In the description of this specification, the description of reference term " embodiment ", " some embodiment ", " example ", " concrete example " or " some examples " etc. means to be contained at least one embodiment of the present invention or example in conjunction with specific features, structure, material or the feature of this embodiment or example description.In this manual, the schematic statement of above-mentioned term is not necessarily referred to identical embodiment or example.And specific features, structure, material or the feature of description can be with suitable mode combination in any one or more embodiment or example.

Although illustrated and described embodiments of the invention, those having ordinary skill in the art will appreciate that: in the situation that not departing from principle of the present invention and aim, can carry out multiple variation, modification, replacement and modification to these embodiment, scope of the present invention is limited by claim and equivalent thereof.

Claims (11)

1. a micro-operation of power networks control method, is characterized in that, comprises the following steps:

Obtain the data message of multiple wind-powered electricity generation electricity generation systems and photovoltaic generating system in micro-electrical network, and calculate respectively the power output of each wind-powered electricity generation electricity generation system and photovoltaic generating system according to described data message;

Generate the particle of default number in each water power electricity generation system according to the default qualifications of the power output of multiple water power electricity generation systems in described micro-electrical network, and generate population according to the particle of described default number;

Calculate the fitness value of each particle in described population, and determine global optimum's particle in described population and the individual optimal particle of each particle;

In the time meeting default end condition, adjust the power output of described water power electricity generation system according to described global optimum particle.

2. the method for claim 1, is characterized in that, the described power output of calculating respectively each wind-powered electricity generation electricity generation system and photovoltaic generating system according to data message specifically comprises:

Obtain the air speed value v of described wind-powered electricity generation electricity generation system position, and calculate the active-power P of described wind-powered electricity generation electricity generation system according to described air speed value v _wt(v), and according to described active-power P _wt(v) calculate the power output of described wind-powered electricity generation electricity generation system.

3. method as claimed in claim 2, is characterized in that, calculates the active-power P of described wind-powered electricity generation electricity generation system according to following formula _wt(v),

Wherein, P _wt(v) be the active power in wind-powered electricity generation electricity generation system in the time of air speed value v, v _cifor incision wind speed, v _rfor rated wind speed, v _cofor cut-out wind speed, P _wtRfor the specified active power in wind-powered electricity generation electricity generation system.

4. the method for claim 1, is characterized in that, the described power output of calculating respectively each wind-powered electricity generation electricity generation system and photovoltaic generating system according to data message specifically comprises:

Obtain the irradiance intensity of described photovoltaic generating system present position, and calculate the active-power P of described photovoltaic generating system according to following formula _pV,

Wherein, P _pVfor the active power of photovoltaic generating system, N _pVfor photovoltaic array quantity; p _pVfor the rated output power of photovoltaic generating system under standard test condition, f _pVfor photovoltaic output derating factor, G _tfor irradiance intensity, G _{t, STC}for the light source irradiance intensity under standard test condition, α _pfor photovoltaic cell temperature power coefficient, T _{c, STC}for the photovoltaic cell working temperature under standard test condition, T _cfor the working temperature of photovoltaic cell in photovoltaic generating system; And according to described active-power P _pVcalculate the power output of described photovoltaic generating system.

5. method as claimed in claim 4, is characterized in that, calculates the work temperature of photovoltaic cell in described photovoltaic generating system according to following formula _c,

Wherein, T _afor ambient temperature; G _{t, NOCT}for the irradiance intensity at photovoltaic cell nominal operation temperature, T _{c, NOCT}for photovoltaic battery temperature at nominal operation temperature, T _{a, NOCT}for the ambient temperature of nominal operation temperature defined.

6. the method for claim 1, is characterized in that, the particle that the described default qualifications according to described power output generates default number in each water power electricity generation system specifically comprises:

Obtain the active power of described water power electricity generation system

and reactive power

and according to the active power of described water power electricity generation system and reactive power

the random particle that generates default number of default qualifications, wherein, described particle is expressed as following form,

Wherein, n is the number of small power station in described water power electricity generation system, t=1 ... T, T is the time hop count of cutting apart in a day.

7. the method for claim 1, is characterized in that, in described calculating population, the fitness value of each particle specifically comprises:

Calculate the trend value of described water power electricity generation system, and obtain the target function with Prescribed Properties according to the trend value of described water power electricity generation system;

The described target function with Prescribed Properties is converted to the fitness function of unconfined condition, and calculates the fitness value of each particle in described calculating population according to the fitness function of described unconfined condition.

8. method as claimed in claim 7, is characterized in that, the described target function with Prescribed Properties is,

min F′（x）

s.t.g _i(x)≥0 i=1,…,m，

h _j(x)=0 j=1,…,n

Wherein, min F ' is (x) target function, and x is the particle position vector in population, g _i(x) be inequality constraints condition, h _i(x) be equality constraint, the quantity that m, n are corresponding constraints.

9. method as claimed in claim 8, is characterized in that, the fitness function of described unconfined condition is,

Wherein, σ is default penalty factor.

10. the method for claim 1, is characterized in that, described default end condition is that the difference that reaches maximum iteration time m and/or particle fitness value corresponding to default iterations is less than predetermined threshold value.

11. methods as claimed in claim 10, is characterized in that, described default iterations is greater than or equal to 10 times, and described predetermined threshold value is 10 ^-5.

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