CN105490312A - Multi-source reactive power optimization control method for power system - Google Patents

Abstract

The invention discloses a multi-source reactive power optimization control method for a power system. The multi-source reactive power optimization control method main comprises day-ahead optimization scheduling and intraday optimization correction, wherein the day-ahead optimization scheduling comprises the following steps: building a day-ahead optimization scheduling model according to parameters of the power system, obtaining day-ahead reactive power scheduling plans of a shunt capacitor bank and transformer taps in a power grid by the model, and providing the day-ahead reactive power scheduling plans of the shunt capacitor bank and the transformer taps in the power grid for the intraday optimization correction; the intraday optimization correction is updating scheduling information of the shunt capacitor bank and the transformer taps in the power grid by the day-ahead reactive power scheduling plans in real time; a real-time optimization scheduling scheme of an electric vehicle charging pile for intraday normal operation is obtained through the built optimization module for intraday normal operation or a reactive voltage optimization control scheme for the shunt capacitor bank in intraday fault operation is obtained according to the optimization module for intraday fault operation; and finally the optimization regulation and control of an intraday reactive power source are achieved.

Description

A kind of electric power system multi-source power-less optimized controlling method

Technical field

The present invention relates to a kind of electric power system multi-source power-less optimized controlling method.

Background technology

In recent years, wind-powered electricity generation is as the regenerative resource of cleanliness without any pollution, worldwide fast-developing.By the end of the end of the year 2014, world's installed capacity of wind-driven power will reach 360GW, China, the U.S., Germany, Spain and India five Guo Zhan world total installation of generating capacity 72%.But the feature of wind-powered electricity generation randomness and weak controllability, creates deep effect to the voltage stabilization of power system weak link.Meanwhile, need absorbing reactive power during a large amount of asynchronous blower fan generating, if electrical network can not provide the idle of abundance, the set end voltage of blower fan will be caused to decline, time serious, even have the danger departing from electrical network ^[1].

Electric automobile, with the advantage of its energy-saving and emission-reduction, becomes the important step of the low carbonization development of traffic, has the trend progressively replacing traditional energy automobile at present.Under V2G (Vehicle-to-Grid) concept, electric automobile is interactive by charging pile and electrical network, both can as system loading, again can distributed energy storage equipment, and meanwhile, the charging pile based on power electronics interface can as reactive generating device ^[2], for system provides reactive power support, by matching with the idle voltage adjusting device of routine, play an active part in the reactive Voltage Optimum operation of system.

At present, scholars launches research for the optimal control of electric automobile active power, and the V2G making full use of electric automobile gains merit responding ability, improves the voltage stability of system, electric energy and frequency quality etc.But the idle participation system optimized operation not yet having large quantity research to produce for electric automobile charging pile is inquired into.Document [3] demonstrates the feasibility of electric automobile charging pile as reactive generating device from technical controlling aspect, and electric automobile is in charging process, and power factor when can reduce charging, for system provides reactive power; Document [4], then on the basis considering user's traffic behavior, assesses the reactive response ability of electric automobile charging pile cluster.

Reactive Voltage Optimum ensures electric power netting safe running, reduces active power loss, improve voltage's distribiuting, improves the effective means of the quality of power supply.Document [5], using on-load transformer tap changer gear, Shunt Capacitor Unit switching as controlled reactive power/voltage control variable, realizes the Reactive power control to area power grid, improves economy and the reliability of operation of power networks.The reactive sources such as synchronous generator, Shunt Capacitor Unit, FACT device considered by document [6], minimum for optimizing multiple target with generator economic dispatch, economy operation of power grid and discrete reactive source action frequency, improve voltage security and the reliability of system.

[list of references]

[1] Liang Jifeng. concentrate the reactive voltage characteristic of access electrical network based on large-scale wind power and control research [D]. North China Electric Power University, 2012.

[2] Yao Xinli. based on the research [D] of the D-STATCOM bucking-out system of electric automobile charging station. Hunan: Hunan University, 2012.

[3]C.KisacikogluM，KeslerM，M.TolbertL.Single-phaseon-boardbidirectionalPEVchargerforV2Greactivepoweroperation[J].IEEETransactionsonSmartGrid，2015，6(2)：767-775.

[4]YuT，YaoX，WangM.AReactivepowerevaluationmodelforEVchargersconsideringtravellingbehaviors[C].ProceedingsofIEEEElectricUtilityDeregulationandRestructuringandPowerTechnologies，2015，Changsha，China.

[5] Pan Leilei, Liu Junyong. consider the research [J] of the area power grid idle work optimization real-time control system of sequence of control actions impact. electrotechnics journal, 2005,20 (2): 110-118.

[6]RabieeA，ParnianiM.Voltagesecurityconstrainedmulti-periodoptimalreactivepowerflowusingbendersandoptimalityconditiondecompositions[J].IEEETransactionsonPowerSystem，2013，28(2)：696-708.

Summary of the invention

On the basis of wind-powered electricity generation and load prediction, Shunt Capacitor Unit switching and on-load transformer tap changer is utilized to carry out reactive Voltage Optimum a few days ago to system, take into full account the reactive power responding ability of electric automobile charging pile, reactive Voltage Optimum under in a few days normal operation is revised in real time, improve the economy of operation of power networks, in a few days then mainly consider the switching of Shunt Capacitor Unit during failure operation, propose the reactive source control program considering that reactive voltage sensitivity and sequential are gone forward one by one, to reach the object of quick recovery voltage.

In order to solve the problems of the technologies described above, a kind of electric power system multi-source power-less optimized controlling method that the present invention proposes, comprises Optimized Operation and in a few days optimize correction a few days ago, wherein:

Step one: Optimized Operation comprises the following steps a few days ago:

Step 1-1: input electric power system parameters, at least comprises the active power dispatch plan a few days ago of transmission line characterisitic parameter, generator, wind-powered electricity generation meritorious exert oneself predicted value, predicted load;

Step 1-2: the parameter utilizing step 1-1 to obtain builds Optimal Operation Model a few days ago, the optimization aim of model is such as formula shown in (1), and constraints is such as formula shown in (2):

${\mathrm{minP}}_{LOSS}=\underset{i=1}{\overset{n}{\Σ}}{U}_i\underset{j\∈i}{\Σ}{U}_j{G}_{ij}{\mathrm{cos\θ}}_{ij}---\left(1\right)$

In formula (1), n is the number of electrical network interior joint; U _ifor the voltage magnitude of node i; U _jfor the voltage magnitude of node j; G _ijfor the conductance between node i and j; θ _ijfor the phase angle difference of voltage between node i and j;

$\left\{\begin{array}{c}{P}_{i,g}-P_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{cos\θ}}_{ij}+B_{ij}{\mathrm{sin\θ}}_{ij})=0\\ Q_{i,g}-Q_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{sin\θ}}_{ij}-B_{ij}{\mathrm{cos\δ}}_{ij})=0\\ U_i^{\min }\≤U_i\≤U_i^{\max }\\ Q_{i,g}^{\min }\≤Q_{i,g}\≤Q_{i,g}^{\max }\\ {\mathrm{CB}}_i^{\min }\≤{\mathrm{CB}}_{i,k}\≤{\mathrm{CB}}_i^{\max }\\ {\mathrm{TAP}}_{ij}^{\min }\≤{\mathrm{TAP}}_{ij,h}\≤{\mathrm{TAP}}_{ij}^{\max }\end{array}\right.---\left(2\right)$

In formula (2), P _i,gand Q _i,gbe respectively the meritorious and reactive power that electrical network interior joint i generator sends; P _i,land Q _i,lbe respectively the meritorious and reactive power that electrical network interior joint i load consumes; with be respectively the bound scope of electrical network interior joint i voltage; with be respectively the bound scope that electrical network interior joint i generator reactive is exerted oneself; with for the bound scope of electrical network interior joint i Shunt Capacitor Unit input quantity; TAP _{ij, h}, with be respectively electrical network interior joint i load tap changer gear h and bound scope thereof;

Step 1-3: the Optimal Operation Model a few days ago utilizing step 1-2 to set up obtains Shunt Capacitor Unit and load tap changer Reactive Power Dispatch plan a few days ago in electrical network, in a few days optimizing the plan of Reactive Power Dispatch a few days ago revised and provide Shunt Capacitor Unit and load tap changer in electrical network;

Step 2: in a few days optimize correction and comprise the following steps:

Step 2-1: the schedule information of Shunt Capacitor Unit and load tap changer in the plan of the Reactive Power Dispatch a few days ago real-time update electrical network utilizing step 1-3 to obtain;

Step 2-2: carry out the calculating of electric power system Real-time Power Flow, obtain the magnitude of voltage of each node, judges whether electrical network interior joint voltage occurs out-of-limit, if do not occurred, then carries out step 2-3; If occurred, then carry out step 2-6;

Step 2-3: set up the in a few days normal Optimized model run, wherein, optimization aim is such as formula shown in (3), and constraints is such as formula shown in (4):

${\mathrm{minP}}_{LOSS}=\underset{i=1}{\overset{n}{\Σ}}{U}_i\underset{j\∈i}{\Σ}{U}_j{G}_{ij}{\mathrm{cos\θ}}_{ij}---\left(3\right)$

$\left\{\begin{array}{c}{P}_{i,g}-P_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{cos\θ}}_{ij}+B_{ij}{\mathrm{sin\θ}}_{ij})=0\\ Q_{i,g}-Q_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{sin\θ}}_{ij}-B_{ij}{\mathrm{cos\δ}}_{ij})=0\\ U_i^{\min }\≤U_i\≤U_i^{\max }\\ Q_{i,g}^{\min }\≤Q_{i,g}\≤Q_{i,g}^{\max }\\ Q_{i,ev}^{\min }\≤Q_{i,ev}\≤Q_{i,ev}^{\max }\end{array}\right.---\left(4\right)$

In formula (4), Q _{i, ev}, with be respectively the idle and bound scope that electrical network interior joint i electric automobile charging pile provides;

Step 2-4: the in a few days normal Optimized model run utilizing step 2-3 to set up obtains the Real time optimal dispatch scheme that electric automobile charging pile in a few days normally runs, idle the exerting oneself of electric automobile charging pile is regulated, thus the optimization correction realized electric power system in a few days Reactive-power control, return step 2-2, until realize the Optimum Regulation of reactive source on the same day;

Step 2-6: the Optimized model setting up in a few days failure operation, wherein, optimization aim is such as formula shown in (5), and constraints is such as formula shown in (6):

${\mathrm{minF}}_{CB}=\underset{i=1}{\overset{n}{\Σ}}{({\mathrm{CB}}_{i,k}-{\mathrm{CB}}_{i,k0})}^2---\left(5\right)$

In formula (5), CB _i,kand CB _{i, k0}be respectively input quantity final value k and the initial value k of the control of i node Shunt Capacitor Unit ₀;

$\left\{\begin{array}{c}{P}_{i,g}-P_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{cos\θ}}_{ij}+B_{ij}{\mathrm{sin\θ}}_{ij})=0\\ Q_{i,g}-Q_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{sin\θ}}_{ij}-B_{ij}{\mathrm{cos\δ}}_{ij})=0\\ U_i^{\min }\≤U_i\≤U_i^{\max }\\ Q_{i,g}^{\min }\≤Q_{i,g}\≤Q_{i,g}^{\max }\\ {\mathrm{CB}}_i^{\min }\≤{\mathrm{CB}}_{i,k}\≤{\mathrm{CB}}_i^{\max }\end{array}\right.---\left(6\right)$

Step 2-7: the reactive power and voltage control scheme of Shunt Capacitor Unit when the Optimized model of the in a few days failure operation utilizing step 2-6 to set up obtains in a few days failure operation, scheduling controlling is carried out to Shunt Capacitor Unit, return step 2-2, until realize the Optimum Regulation of reactive source on the same day.

Compared with prior art, the invention has the beneficial effects as follows:

Optimized Operation is in a few days optimizing the plan of Reactive Power Dispatch a few days ago revised and provide Shunt Capacitor Unit and load tap changer in electrical network a few days ago; In a few days optimize correction to comprise and voltage out-of-limit does not occur and voltage out-of-limit two kinds of operational modes occur, when there is not voltage out-of-limit, make full use of the reactive response ability of electric automobile charging pile, in a few days idle work optimization is revised, reduces the active power loss of system; Proposing the reactive source control program considering that reactive voltage sensitivity and sequential are gone forward one by one when there is voltage out-of-limit, by controlling the quick recovery voltage of switching of Shunt Capacitor Unit, reducing the switching frequency of Capacitor banks.

Accompanying drawing explanation

Fig. 1 reactive power and voltage control strategic process figure;

Fig. 2 reactive power and voltage control flow process;

Fig. 3 IEEE30 node system figure;

Fig. 4 wind power output predicted value and actual value;

Fig. 5 zones of different predicted load and actual value;

Have after Fig. 6 optimizes a few days ago and carry load tap changer position;

Fig. 7 optimizes rear Shunt Capacitor Unit switching information a few days ago;

The idle distribution situation of exerting oneself of electric automobile under Fig. 8 normal operation;

Electric network active network loss distribution situation under Fig. 9 normal operation;

Each node voltage effect of optimization under Figure 10 normal operation;

Under Figure 11 failure condition, optimal control order contrasts with inverted sequence control effects.

Embodiment

Be described in further detail technical solution of the present invention below in conjunction with the drawings and specific embodiments, described specific embodiment only explains the present invention, not in order to limit the present invention.

A kind of electric power system multi-source power-less optimized controlling method that the present invention proposes, control flow as shown in Figure 1, comprises Optimized Operation and in a few days optimize correction a few days ago, wherein:

Step one: Optimized Operation comprises the following steps a few days ago:

Step 1-1: input electric power system parameters, at least comprises the active power dispatch plan a few days ago of transmission line characterisitic parameter, generator, wind-powered electricity generation meritorious exert oneself predicted value, predicted load;

Step 1-2: the parameter utilizing step 1-1 to obtain builds Optimal Operation Model a few days ago, model is minimum for optimization aim with electric network active network loss, and shown in (1), constraints comprises equality constraint and inequality constraints such as formula shown in (2):

${\mathrm{minP}}_{LOSS}=\underset{i=1}{\overset{n}{\Σ}}{U}_i\underset{j\∈i}{\Σ}{U}_j{G}_{ij}{\mathrm{cos\θ}}_{ij}---\left(1\right)$

In formula (1), n is the number of electrical network interior joint; U _ifor the voltage magnitude of node i; U _jfor the voltage magnitude of node j; G _ijfor the conductance between node i and j; θ _ijfor the phase angle difference of voltage between node i and j;

$\left\{\begin{array}{c}{P}_{i,g}-P_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{cos\θ}}_{ij}+B_{ij}{\mathrm{sin\θ}}_{ij})=0\\ Q_{i,g}-Q_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{sin\θ}}_{ij}-B_{ij}{\mathrm{cos\δ}}_{ij})=0\\ U_i^{\min }\≤U_i\≤U_i^{\max }\\ Q_{i,g}^{\min }\≤Q_{i,g}\≤Q_{i,g}^{\max }\\ {\mathrm{CB}}_i^{\min }\≤{\mathrm{CB}}_{i,k}\≤{\mathrm{CB}}_i^{\max }\\ {\mathrm{TAP}}_{ij}^{\min }\≤{\mathrm{TAP}}_{ij,h}\≤{\mathrm{TAP}}_{ij}^{\max }\end{array}\right.---\left(2\right)$

In formula (2), P _i,gand Q _i,gbe respectively the meritorious and reactive power that electrical network interior joint i generator sends; P _i,land Q _i,lbe respectively the meritorious and reactive power that electrical network interior joint i load consumes; with be respectively the bound scope of electrical network interior joint i voltage; with be respectively the bound scope that electrical network interior joint i generator reactive is exerted oneself; with for the bound scope of electrical network interior joint i Shunt Capacitor Unit input quantity; TAP _{ij, h}, with be respectively electrical network interior joint i load tap changer gear h and bound scope thereof;

Step 1-3: the Optimal Operation Model a few days ago utilizing step 1-2 to set up obtains Shunt Capacitor Unit and load tap changer Reactive Power Dispatch plan a few days ago in electrical network, in a few days optimizing the plan of Reactive Power Dispatch a few days ago revised and provide Shunt Capacitor Unit and load tap changer in electrical network;

Step 2: in a few days optimize correction and comprise the following steps:

Step 2-1: the schedule information of Shunt Capacitor Unit and load tap changer in the plan of the Reactive Power Dispatch a few days ago real-time update electrical network utilizing step 1-3 to obtain;

Step 2-2: carry out the calculating of electric power system Real-time Power Flow, obtain the magnitude of voltage of each node, judges whether electrical network interior joint voltage occurs out-of-limit, if do not occurred, then carries out step 2-3; If occurred, then carry out step 2-6;

Step 2-3: set up the in a few days normal Optimized model run, wherein, model is minimum for optimization aim with electric network active network loss, and shown in (3), constraints comprises equality constraint and inequality constraints, shown in (4):

${\mathrm{minP}}_{LOSS}=\underset{i=1}{\overset{n}{\Σ}}{U}_i\underset{j\∈i}{\Σ}{U}_j{G}_{ij}{\mathrm{cos\θ}}_{ij}---\left(3\right)$

$\left\{\begin{array}{c}{P}_{i,g}-P_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{cos\θ}}_{ij}+B_{ij}{\mathrm{sin\θ}}_{ij})=0\\ Q_{i,g}-Q_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{sin\θ}}_{ij}-B_{ij}{\mathrm{cos\δ}}_{ij})=0\\ U_i^{\min }\≤U_i\≤U_i^{\max }\\ Q_{i,g}^{\min }\≤Q_{i,g}\≤Q_{i,g}^{\max }\\ Q_{i,ev}^{\min }\≤Q_{i,ev}\≤Q_{i,ev}^{\max }\end{array}\right.---\left(4\right)$

In formula (4), Q _{i, ev}, with be respectively the idle and bound scope that electrical network interior joint i electric automobile charging pile provides, the present invention adopts electric automobile reactive response capability assessment model in document [4];

Step 2-4: the in a few days normal Optimized model run utilizing step 2-3 to set up obtains the Real time optimal dispatch scheme that electric automobile charging pile in a few days normally runs, idle the exerting oneself of electric automobile charging pile is regulated, thus the optimization correction realized electric power system in a few days Reactive-power control, return step 2-2, until realize the Optimum Regulation of reactive source on the same day;

Step 2-6: the Optimized model setting up in a few days failure operation, wherein, model is minimum for optimization aim with Shunt Capacitor Unit action frequency, and shown in (5), constraints comprises equality constraint and inequality constraints, shown in (6):

${\mathrm{minF}}_{CB}=\underset{i=1}{\overset{n}{\Σ}}{({\mathrm{CB}}_{i,k}-{\mathrm{CB}}_{i,k0})}^2---\left(5\right)$

In formula (5), CB _i,kand CB _{i, k0}be respectively input quantity final value k and the initial value k of the control of i node Shunt Capacitor Unit ₀;

$\left\{\begin{array}{c}{P}_{i,g}-P_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{cos\θ}}_{ij}+B_{ij}{\mathrm{sin\θ}}_{ij})=0\\ Q_{i,g}-Q_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{sin\θ}}_{ij}-B_{ij}{\mathrm{cos\δ}}_{ij})=0\\ U_i^{\min }\≤U_i\≤U_i^{\max }\\ Q_{i,g}^{\min }\≤Q_{i,g}\≤Q_{i,g}^{\max }\\ {\mathrm{CB}}_i^{\min }\≤{\mathrm{CB}}_{i,k}\≤{\mathrm{CB}}_i^{\max }\end{array}\right.---\left(6\right)$

Step 2-7: the reactive power and voltage control scheme of Shunt Capacitor Unit when the Optimized model of the in a few days failure operation utilizing step 2-6 to set up obtains in a few days failure operation, scheduling controlling is carried out to Shunt Capacitor Unit, return step 2-2, until realize the Optimum Regulation of reactive source on the same day.

As shown in Figure 2, the reactive power and voltage control scheme of Shunt Capacitor Unit during described in a few days failure operation, comprises based on the control sequence of reactive voltage sensitivity and time of delay of reactive source switching of going forward one by one based on sequential:

Particular content based on the control sequence of reactive voltage sensitivity is: electric power system tide equation is such as formula shown in (7); As Δ P=0, the relation of reactive power and electrical network interior joint voltage is such as formula shown in (8); In power transmission network, reactance is far longer than resistance, and during P-Q decoupling zero, after simplification, the relation of reactive power and electrical network interior joint voltage such as formula shown in (9), thus obtains the sensitivity matrix S of electric power system:

$\left[\begin{array}{c}\mathrm{\Δ}P\\ \mathrm{\Δ}Q\end{array}\right]=\left[\begin{array}{cc}{J}_{P\mathrm{\θ}}& J_{PU}\\ J_{Q\mathrm{\θ}}& J_{QU}\end{array}\right]\left[\begin{array}{c}\mathrm{\Δ}\mathrm{\θ}\\ \mathrm{\Δ}U\end{array}\right]---\left(7\right)$

In formula (7), the imbalance that Δ P and Δ Q is respectively node is meritorious vectorial with reactive power; Δ θ and Δ U is respectively the voltage phase angle of node and the correction vector of amplitude; J _{p θ}and J _pUbe respectively the sensitivity matrix to voltage phase angle and amplitude of active power in Jacobian matrix; J _{q θ}and J _qUbe respectively the sensitivity matrix to voltage phase angle and amplitude of reactive power in Jacobian matrix;

$\mathrm{\Δ}Q=(J_{QU}-J_{Q\mathrm{\θ}}{J}_{P\mathrm{\θ}}^{-1}{J}_{PU})\mathrm{\Δ}U---\left(8\right)$

$\mathrm{\Δ}U=J_{QU}^{-1}\mathrm{\Δ}Q=S\mathrm{\Δ}Q---\left(9\right)$

In formula (9), S is the sensitivity matrix of system reactive power to voltage.According to above-mentioned sensitivity matrix S, sort to the size of the sensitivity of voltage according to node reactive power each in electrical network to each node, in acquisition electrical network, each node is based on the control sequence of reactive voltage sensitivity.

Obtain the time of delay of the reactive source switching gone forward one by one based on sequential, comprising: the switching model that sequential is gone forward one by one, such as formula shown in (10), obtains the time interval TD between adjacent twice reactive source action;

$TD=K{\left(\underset{i=1}{\overset{L}{\Σ}}\right|U_i^{ref}-U_i\left|\right)}^{\mathrm{\α}}---\left(10\right)$

In formula (10), L is the nodes of voltage failure; for the magnitude of voltage that node i will return to; K and α is used for the parameter of control lag time range; According to the time interval TD between above-mentioned adjacent twice reactive source action, obtain the time of delay of reactive source switching, ensure that voltage can steadily and fast recover.

Experimental example:

The present invention adopts the example material of IEEE30 node to verify the proposed power system reactive power voltage optimization control method taking into account electric automobile charging pile, and the system diagram of example material as shown in Figure 3.In electrical network, the voltage bound of load bus 3,4,5,6,7,8,9,10,11,12,14,15,16,17,18,19,20,21,24,25,26,28,29 and 30 is constrained to [0.95,1.05], in electrical network, the voltage bound of generator node 1,2,13,22,23 and 27 is constrained to [0.95,1.10]; Electrical network interior joint 5,17 and 24 is equipped with Shunt Capacitor Unit compensation arrangement, and the shunt capacitor quantity of node 5 and 24 is 10, and monomer compensation capacity is 1Mvar, and the shunt capacitance quantity of node 17 is 10, and monomer compensation capacity is 2Mvar; Be connected to on-load tap-changing transformer between circuit 6-9,6-10,4-12 and 28-27 in electrical network, tapping range is [0.9,1.1], and control interval is 0.025; Electrical network interior joint 13 and 27 is wind-powered electricity generation node, and the predicted value a few days ago of wind power output and in a few days actual value are as shown in Figure 4; According to the difference of load type, system is divided into industrial area, shopping centre and three, residential block load area, and the predicted value a few days ago of each region load and in a few days actual value are as shown in Figure 5.

Optimized Operation interpretation of result a few days ago: the power system reactive power voltage optimization control method taking into account electric automobile charging pile utilizing the present invention to propose, a few days ago after Optimized Operation, in electrical network, the on-load transformer tap changer position schedule information of circuit 6-9,6-10,4-12 and 28-27 as shown in Figure 6; A few days ago after Optimized Operation, the information of the Shunt Capacitor Unit switching quantity of electrical network interior joint 5,17 and 24 as shown in Figure 7.

Optimize correction result analysis: in a few days optimize after revising a few days ago, the electric automobile charging pile of electrical network interior joint 23 is idle exert oneself and the distribution situation of bound scope in one day as shown in Figure 8, the reactive power that electric automobile charging pile produces participates in the optimizing operation of system, and within the 17:00-20:00 period, owing to being subject to the restriction of maximum reactive response ability, now actual idle exert oneself be limited in responding ability bounds within; Utilize the reactive response ability of electric automobile, optimal reactive power dispatch result is a few days ago revised in real time, further reduction system active power loss, the number of operations of the Shunt Capacitor Unit reduced to a certain extent.

A few days ago optimal reactive power dispatch, in a few days optimize not consider electric automobile reactive response ability when revising normal operation and in a few days optimize consider electric automobile reactive response ability three kinds of situations when revising normal operation under the distribution situation of active power loss in one day as shown in Figure 9, due to wind power output and load predicted value a few days ago and in a few days actual value there are differences, adopt reactive source scheduling scheme a few days ago, when not considering the reactive response ability of electric automobile, the estimated value of active power loss and actual value there are differences a few days ago; And after in a few days optimizing and revising and utilize the reactive response ability of electric automobile to carry out idle work optimization correction, the actual motion network loss of electrical network can be reduced to a certain extent, improve the utilization ratio of charging pile, be conducive to the economical operation of electrical network.

In order to illustrate that electrical network is in a few days optimizing revised reactive Voltage Optimum effect, for 00:00,05:00,10:00,15:00 and 20:00, Figure 10 gives in a few days to optimize and revises the rear magnitude of voltage of each node and the bound scope of this node voltage, because each moment operation of power networks state is different, each node is different at the revised voltage of different time optimization, the magnitude of voltage optimizing each node after revising, all thereon in lower range, meets the voltage stabilization requirement of system.

During in order in a few days failure operation is described, the reactive power and voltage control scheme of Shunt Capacitor Unit, departs from electrical network after the alternator failure of example material hypothesis 15:00 node 22; According to reactive voltage level of sensitivity, each Shunt Capacitor Unit node is as shown in table 1 based on the control sequence of reactive voltage sensitivity; According to the switching model that sequential is gone forward one by one, Shunt Capacitor Unit is as shown in table 2 based on the time of delay of the reactive source switching that sequential is gone forward one by one.

The reactive power and voltage control scheme of Shunt Capacitor Unit during in order in a few days failure operation is described, Figure 11 gives the control effects comparison diagram after the control program order and reverse-order adopting and obtain, can find out, after adopting this order, the voltage of each node can return in its bound claimed range faster.

After table 1 fault, Shunt Capacitor Unit node is based on the control sequence of reactive voltage sensitivity

The time of delay of the reactive source switching that Shunt Capacitor Unit is gone forward one by one based on sequential after table 2 fault

To sum up, the power system reactive power voltage optimization control method taking into account electric automobile charging pile that the present invention proposes, wherein, Optimized Operation utilizes Shunt Capacitor Unit and on-load tap-changing transformer to reduce network loss a few days ago, in a few days optimizing the plan of Reactive Power Dispatch a few days ago revised and provide Shunt Capacitor Unit and load tap changer in electrical network; In a few days optimize correction and comprise in a few days normal operation and in a few days failure operation, utilize electric automobile charging pile reactive response ability to reduce network loss when in a few days normally running, during day internal fault, then utilize the minimum quick recovery voltage of Shunt Capacitor Unit switching frequency; For in a few days failure operation situation, propose the reactive power and voltage control scheme of Shunt Capacitor Unit, comprise based on the control sequence of reactive voltage sensitivity and time of delay of reactive source switching of going forward one by one based on sequential.

Although invention has been described by reference to the accompanying drawings above; but the present invention is not limited to above-mentioned embodiment; above-mentioned embodiment is only schematic; instead of it is restrictive; those of ordinary skill in the art is under enlightenment of the present invention; when not departing from present inventive concept, can also make a lot of distortion, these all belong within protection of the present invention.

Claims (2)

1. an electric power system multi-source power-less optimized controlling method, is characterized in that, comprises Optimized Operation and in a few days optimize correction a few days ago, wherein:

Step one: Optimized Operation comprises the following steps a few days ago:

Step 1-1: input electric power system parameters, at least comprises the active power dispatch plan a few days ago of transmission line characterisitic parameter, generator, wind-powered electricity generation meritorious exert oneself predicted value, predicted load;

Step 1-2: the parameter utilizing step 1-1 to obtain builds Optimal Operation Model a few days ago, the optimization aim of model is such as formula shown in (1), and constraints is such as formula shown in (2):

$\min P_{LOSS}=\underset{i=1}{\overset{n}{\Σ}}{U}_i\underset{j\∈i}{\Σ}{U}_j{G}_{ij}{\mathrm{cos\θ}}_{ij}---\left(1\right)$

In formula (1), n is the number of electrical network interior joint; U _ifor the voltage magnitude of node i; U _jfor the voltage magnitude of node j; G _ijfor the conductance between node i and j; θ _ijfor the phase angle difference of voltage between node i and j;

$\left\{\begin{array}{c}{P}_{i,g}-P_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{cos\θ}}_{ij}+B_{ij}{\mathrm{sin\θ}}_{ij})=0\\ Q_{i,g}-Q_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{sin\θ}}_{ij}-B_{ij}{\mathrm{cos\δ}}_{ij})=0\\ U_i^{\min }\≤U_i\≤U_i^{\max }\\ Q_{i,g}^{\min }\≤Q_{i,g}\≤Q_{i,g}^{\max }\\ {\mathrm{CB}}_i^{\min }\≤{\mathrm{CB}}_{i,k}\≤{\mathrm{CB}}_i^{\max }\\ {\mathrm{TAP}}_{ij}^{\min }\≤{\mathrm{TAP}}_{ij,h}\≤{\mathrm{TAP}}_{ij}^{max}\end{array}\right.---\left(2\right)$

In formula (2), P _i,gand Q _i,gbe respectively the meritorious and reactive power that electrical network interior joint i generator sends; P _i,land Q _i,lbe respectively the meritorious and reactive power that electrical network interior joint i load consumes; with be respectively the bound scope of electrical network interior joint i voltage; with be respectively the bound scope that electrical network interior joint i generator reactive is exerted oneself; with for the bound scope of electrical network interior joint i Shunt Capacitor Unit input quantity; TAP _{ij, h}, with be respectively electrical network interior joint i load tap changer gear h and bound scope thereof;

Step 1-3: the Optimal Operation Model a few days ago utilizing step 1-2 to set up obtains Shunt Capacitor Unit and load tap changer Reactive Power Dispatch plan a few days ago in electrical network, in a few days optimizing the plan of Reactive Power Dispatch a few days ago revised and provide Shunt Capacitor Unit and load tap changer in electrical network;

Step 2: in a few days optimize correction and comprise the following steps:

Step 2-1: the schedule information of Shunt Capacitor Unit and load tap changer in the plan of the Reactive Power Dispatch a few days ago real-time update electrical network utilizing step 1-3 to obtain;

Step 2-2: carry out the calculating of electric power system Real-time Power Flow, obtain the magnitude of voltage of each node, judges whether electrical network interior joint voltage occurs out-of-limit, if do not occurred, then carries out step 2-3; If occurred, then carry out step 2-6;

Step 2-3: set up the in a few days normal Optimized model run, wherein, optimization aim is such as formula shown in (3), and constraints is such as formula shown in (4):

$\min P_{LOSS}=\underset{i=1}{\overset{n}{\Σ}}{U}_i\underset{j\∈i}{\Σ}{U}_j{G}_{ij}{\mathrm{cos\θ}}_{ij}---\left(3\right)$

$\left\{\begin{array}{c}{P}_{i,g}-P_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{cos\θ}}_{ij}+B_{ij}{\mathrm{sin\θ}}_{ij})=0\\ Q_{i,g}-Q_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{sin\θ}}_{ij}-B_{ij}{\mathrm{cos\δ}}_{ij})=0\\ U_i^{\min }\≤U_i\≤U_i^{\max }\\ Q_{i,g}^{\min }\≤Q_{i,g}\≤Q_{i,g}^{\max }\\ Q_{i,ev}^{\min }\≤Q_{i,ev}\≤Q_{i,ev}^{\max }\end{array}\right.---\left(4\right)$

In formula (4), Q _{i, ev}, with be respectively the idle and bound scope that electrical network interior joint i electric automobile charging pile provides;

Step 2-4: the in a few days normal Optimized model run utilizing step 2-3 to set up obtains the Real time optimal dispatch scheme that electric automobile charging pile in a few days normally runs, idle the exerting oneself of electric automobile charging pile is regulated, thus the optimization correction realized electric power system in a few days Reactive-power control, return step 2-2, until realize the Optimum Regulation of reactive source on the same day;

Step 2-6: the Optimized model setting up in a few days failure operation, wherein, optimization aim is such as formula shown in (5), and constraints is such as formula shown in (6):

$\min F_{CB}=\underset{i=1}{\overset{n}{\Σ}}{({\mathrm{CB}}_{i,k}-{\mathrm{CB}}_{i,k0})}^2---\left(5\right)$

In formula (5), CB _i,kand CB _{i, k0}be respectively input quantity final value k and the initial value k of the control of i node Shunt Capacitor Unit ₀;

$\left\{\begin{array}{c}{P}_{i,g}-P_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{cos\θ}}_{ij}+B_{ij}{\mathrm{sin\θ}}_{ij})=0\\ Q_{i,g}-Q_{i,l}-U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{sin\θ}}_{ij}-B_{ij}{\mathrm{cos\δ}}_{ij})=0\\ U_i^{\min }\≤U_i\≤U_i^{\max }\\ Q_{i,g}^{\min }\≤Q_{i,g}\≤Q_{i,g}^{\max }\\ {\mathrm{CB}}_i^{\min }\≤{\mathrm{CB}}_{i,k}\≤{\mathrm{CB}}_i^{\max }\end{array}\right.---\left(6\right)$

Step 2-7: the reactive power and voltage control scheme of Shunt Capacitor Unit when the Optimized model of the in a few days failure operation utilizing step 2-6 to set up obtains in a few days failure operation, scheduling controlling is carried out to Shunt Capacitor Unit, return step 2-2, until realize the Optimum Regulation of reactive source on the same day.

2. electric power system multi-source power-less optimized controlling method according to claim 1, it is characterized in that, in step 2-7, the reactive power and voltage control scheme of Shunt Capacitor Unit during described in a few days failure operation, comprises based on the control sequence of reactive voltage sensitivity and time of delay of reactive source switching of going forward one by one based on sequential:

Step one: obtain the control sequence based on reactive voltage sensitivity according to following steps:

Step 1-1: electric power system tide equation is such as formula shown in (7); As Δ P=0, the relation of reactive power and electrical network interior joint voltage is such as formula shown in (8); In power transmission network, reactance is far longer than resistance, and during P-Q decoupling zero, after simplification, the relation of reactive power and electrical network interior joint voltage such as formula shown in (9), thus obtains the sensitivity matrix S of electric power system:

$\left[\begin{array}{c}\mathrm{\Δ}P\\ \mathrm{\Δ}Q\end{array}\right]=\left[\begin{array}{cc}{J}_{P\mathrm{\θ}}& J_{PU}\\ J_{Q\mathrm{\θ}}& J_{QU}\end{array}\right]\left[\begin{array}{c}\mathrm{\Δ}\mathrm{\θ}\\ \mathrm{\Δ}U\end{array}\right]---\left(7\right)$

In formula (7), the imbalance that Δ P and Δ Q is respectively node is meritorious vectorial with reactive power; Δ θ and Δ U is respectively the voltage phase angle of node and the correction vector of amplitude; J _{p θ}and J _pUbe respectively the sensitivity matrix to voltage phase angle and amplitude of active power in Jacobian matrix; J _{q θ}and J _qUbe respectively the sensitivity matrix to voltage phase angle and amplitude of reactive power in Jacobian matrix;

$\mathrm{\Δ}Q=(J_{QU}-J_{Q\mathrm{\θ}}{J}_{P\mathrm{\θ}}^{-1}{J}_{PU})\mathrm{\Δ}U---\left(8\right)$

$\mathrm{\Δ}U=J_{QU}^{-1}\mathrm{\Δ}Q=S\mathrm{\Δ}Q---\left(9\right)$

In formula (9), S is the sensitivity matrix of system reactive power to voltage.

Step 1-2: according to the sensitivity matrix S in step 1-1, sorts to each node to the size of the sensitivity of voltage according to node reactive power each in electrical network, and in acquisition electrical network, each node is based on the control sequence of reactive voltage sensitivity;

Step 2: the time of delay obtaining the reactive source switching gone forward one by one based on sequential according to following step:

Step 2-1: the switching model that sequential is gone forward one by one, such as formula shown in (10), obtains the time interval TD between adjacent twice reactive source action;

$TD=K{\left(\underset{i=1}{\overset{L}{\Σ}}\right|U_i^{ref}-U_i\left|\right)}^{\mathrm{\α}}---\left(10\right)$

In formula (10), L is the nodes of voltage failure; for the magnitude of voltage that node i will return to; K and α is used for the parameter of control lag time range;

Step 2-2: according to the time interval TD between the adjacent twice reactive source action in step 2-1, obtains the time of delay of reactive source switching.