CN105528466A - Wind power optimal planning modeling method considering adaptability and economy of power system - Google Patents

Abstract

The invention relates to a wind power optimal planning modeling method considering the adaptability and economy of a power system. The method comprises following steps: acquiring basic information of the power system; establishing a calculation model; setting the installed capacity, installed areas, power transmission line load rate upper limits of a wind power plant; selecting wind curtailment cost coefficients according to the deflection degree of an object; and working out the model. The power generation cost, power transmission investment and wind curtailment cost of the power system are considered in an objective function, and factors such as system peak regulation and power transmission capacity are also taken into account, so that wind power integration consumption and system investment operation economy of the planning model can reach the equilibrium. Through the solution of the model, the economy and adaptability of a wind power planning scheme can be multi-dimensionally evaluated, and a reasonable wind power construction area, a reasonable wind power construction scale, and an optimal construction scheme and an optimal time sequence for power transmission lines can be obtained, so that decision bases can be provided for wind power planners.

Description

Consider the wind-powered electricity generation optimization planning modeling method of electric system adaptability and economy

Technical field:

The present invention relates to a kind of wind-powered electricity generation optimization planning modeling method, more specifically relate to a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy.

Background technology:

Along with greatly developing of wind-powered electricity generation, its uncertainty of exerting oneself and randomness bring new challenge to Operation of Electric Systems and planning, wind-electricity integration problem is not only embodied in the demand side to peak-load regulating, fm capacity, also be embodied in transmitting capacity of the electric wire netting demand, particularly relatively weak electrical network basis often makes wind-powered electricity generation be difficult to dissolve in extensive scope.Therefore wind-powered electricity generation planning will adapt with electrical network and power supply, namely large-scale wind power is grid-connected will match with the peak modulation capacity of power supply, do not destroy security of system stable operation, to match with electrical grid transmission ability simultaneously, not because the position of wind energy turbine set and installed capacity are selected unreasonable, cause wind-powered electricity generation to send passage limited, power grid construction and operating cost increase, the development of restriction wind-powered electricity generation.

System for restricting receives the factor of wind-powered electricity generation may be many-sided, but topmost factor is power supply peak modulation capacity and electrical grid transmission ability, these two kinds of factors and wind energy turbine set access scheme should be considered in the middle of planning, also just the operation conditions of the expansion of transmission line of electricity, conventional power unit, the access of wind energy turbine set are carried out coordination optimization in unified category, to reach system reliability and the total optimization of investing performance driving economy.

The target of wind-powered electricity generation planning is wind-powered electricity generation of will dissolving on a large scale on the one hand, gives full play to wind-powered electricity generation low-carbon (LC), the energy-conservation benefit with reducing discharging, and wants system wind-powered electricity generation of dissolving not cause the obvious rising of system investments and operating cost on the other hand.Current wind-powered electricity generation planning is main pays close attention to wind electricity digestion capability and wind-powered electricity generation efficiency problem, and consider seldom on the impact of wind power integration electrical network on existing normal power supplies, to such an extent as to occur that conventional power unit operational efficiency reduces and frequent start-stop and the Fuel Consumption that increases is greater than the fuel quantity saved owing to using wind-powered electricity generation, cause the extensive receiving due to wind-powered electricity generation to reduce the economy of systems organization.Disclose in the Electric power network planning method considering wind-powered electricity generation large-scale grid connection in Chinese invention patent application file (publication number CN102545258A and CN103793612A), its modeling method mainly pay close attention to wind-powered electricity generation comprehensive benefit and transmission line of electricity invest between relation, be difficult to consider that peak-load regulating ability and normal power supplies running status are on the impact of programme, the scheme utilizing model to draw is difficult to meet the demands in adaptability and economy.

Summary of the invention:

The object of this invention is to provide a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy, the method effectively solves the drawback that in wind-powered electricity generation plan model, grid adaptability is strong, not less economical.

For achieving the above object, the present invention is by the following technical solutions: a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy, said method comprising the steps of:

(1) electric system essential information is obtained;

(2) computation model is built;

(3) set the installed capacity of wind energy turbine set, installation region, the grid load rate upper limit and the deflection degree according to target choose and abandon wind cost coefficient;

(4) described model is solved.

A kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, the essential information in described step (1) comprises the load prediction information of Power System Planning forcasted years, forcasted years normal power supplies regional planning information, machine set technology parameter, electrical network key sections information, wind energy resources information and existing Electric Power Network Planning information.

A kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, the load prediction information of described Power System Planning forcasted years comprises electric load and thermal load information; Described electrical network key sections information is determined by load and power distribution situation in the feature of power network topology, electric system; Described forcasted years normal power supplies regional planning information is obtained by the power source planning of this electric system; Described wind energy resources information, determines from the wind-powered electricity generation statistics in former years.

Another preferred a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, the structure model process in described step (2) is:

(2-1) when electric power system power source planning is determined, in some regional internet electrical networks, optimization aim is built;

(2-2) constraint condition is built.

A preferred a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy more provided by the invention, the optimization aim of described step (2-1) is minimum for objective function with the wind expense of abandoning of forcasted years, the investment of newly-built transmission line of electricity and system operation cost sum; Comprise integer variable and continuous variable in described optimization aim, the quadratic function in described optimization aim is carried out linearization, described model is MILP (Mixed Integer Linear Programming) model.

Another preferred a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, the constraint condition of described step (2-2) comprises electric system constraint, fired power generating unit constraint and wind energy turbine set constraint.

Another preferred a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, described optimization aim is determined by following formula (1):

minF＝F _g+F _w+Σm _j·C _j(1)

Wherein, $F_g=\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\underset{i=1}{\overset{I}{\mathrm{\Σ}}}(U_{n,i,k}f\left(P_{g,n,i,k}\right)+U_{n,i,k}\left({1-U}_{n,i,k-1}\right)S_{n.i})---\left(2\right)$

$F_w=\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\underset{i=1}{\overset{I}{\mathrm{\Σ}}}{\mathrm{\β}}_{n,i}({P^{*}}_{w,n,i,k}-P_{w,n,i,k})---\left(3\right)$

I is machine group #, and i=1,2...I, I are the sum of fired power generating unit and wind energy turbine set; K=1,2...K, K are period sum; N=1,2...N, N are the sub area division sum divided according to electrical network key sections information; F _gfor cost of electricity-generating, the P of fired power generating unit _{g, n, i, k}for the fired power generating unit i in the n of region is at the generated output of several sections of k, U _{n, i, k}for the fired power generating unit i in the n of region is in the start and stop state of k period, S _n,ifor the machine that the opens expense of fired power generating unit i, f (P _{g, n, i, k}) be thermal power unit operation cost; F _wwind expense is abandoned, P for wind energy turbine set _{w, n, i, k}for the actual invoked wind power total amount of k period wind energy turbine set i, P ^* _{w, n, i, k}for the wind power total amount that k period wind energy turbine set i predicts, β _n,ifor abandoning wind penalty factor; m _jfor at subregion x, newly-built number of, lines between n, C _jfor newly-built circuit is at the investment construction cost in planning level year.

Another preferred a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, described optimization aim comprises:

If fully to receive wind-powered electricity generation in planning, then ensure to abandon that air quantity is minimum takes into account economy for primary goal, will wind cost coefficient be abandoned be set to be several times as much as the maximal value of normal power supplies operating cost; If based on economy in planning, then guarantee system cost is minimum is primary goal, suitably abandons wind, will abandon wind cost coefficient and be set to 0.1; Consider if compromise, then will abandon wind cost coefficient and be arranged between the two.

Another preferred a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, described electric system constraint comprises region power balance constraint, the constraint of region thermodynamic equilibrium, the constraint of interregional line transmission power limit, load Reserve Constraint and Transmission constraints; The constraint of described transmission of electricity new road comprises the intensive bundle of the newly-built transmission line of electricity of interregional permission and the newly-built number of lines constraint of interregional permission;

Described fired power generating unit constraint comprises the constraint of fired power generating unit generating bound, minimum start-off time constraints, ramping rate constraints, the constraint of back pressure type fired power generating unit power generation characteristics and the constraint of bleeder fired power generating unit power generation characteristics;

Wind energy turbine set constraint comprises Wind turbines units limits.

Another preferred a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, described electric power constraint is determined by following formula (4)-(9):

The power balance constraint of described region is determined by following formula (4):

$\underset{i=1}{\overset{I}{\mathrm{\Σ}}}(P_{g,n,i,k}+P_{w,n,i,k})+\underset{x\∈N}{\mathrm{\Σ}}{P}_{x,n,k}=P_{d,n,k}+\underset{z\∈N}{\mathrm{\Σ}}{P}_{z,n,k}---\left(4\right)$

The thermodynamic equilibrium constraint of described region is determined by following formula (5):

$\underset{i=1}{\overset{I}{\mathrm{\Σ}}}{H}_{g,n,i,k}=H_{d,n,k}---\left(5\right)$

Described load Reserve Constraint is determined by following formula (6):

$\underset{i=1}{\overset{I}{\mathrm{\Σ}}}{U}_{n,i,k}(P_{g,n,i,\max }-P_{g,n,i,k})\≥R_{w,n,k}+R_{d,n,k}---\left(6\right)$

Described interregional line transmission power limit constraint is determined by following formula (7):

$P_{x,n,k}\≤P_{x,n,\max }+m_j{P}_{x,n,\max }^j---\left(7\right)$

Described newly-built transmission line of electricity number constraint is determined by following formula (8):

0≤m _j≤m _j,max(8)

Described power line load rate constraint is determined by following formula (9):

$P_{x,n,k}/(P_{x,n,\max }+m_j{P}_{x,n,\max }^j)\≤\mathrm{\γ}---\left(9\right)$

Wherein, P _{x, n, k}for existing line between x subregion and n subregion is at the transferring electric power of k period; P _{x, n, max}for the transmission limit of existing line between x subregion and n subregion; P _{z, n, k}that subregion n is subject to or electricity sent outside at the outer of k period; R _{w, n, k}, R _{d, n, k}that subregion n is for subsequent use for subsequent use with wind-powered electricity generation at the load of period k respectively; H _{g, n, i, k}be in subregion n unit i in the heating load of period k, H _{d, n, k}the heat demand of subregion n at period k, the transmission limit of newly-increased transmission line of electricity j between x subregion and n subregion, m _{j, max}be allow newly-built transmission line of electricity transformation between x subregion and n subregion, γ is the power line load rate upper limit, P _{g, n, i, max}be respectively fired power generating unit to exert oneself the upper limit.

Another preferred a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, described fired power generating unit constraint is determined by following formula (9)-(17):

Described unit generation bound constraint is determined by following formula (10):

U _n,i,kP _g,n,i,min≤P _g,n,i,k≤U _n,i,kP _g,n,i,max(10)

Described minimum start-off time constraints is determined by following formula (11) and (12):

(U _n,i,k-1-U _n,i,k)(T _n,i,k-1-T _n,i,on)≥0(11)

(U _n,i,k-U _n,i,k-1)(-T _n,i,k-1-T _n,i,off)≥0(12)

Described Unit Ramp Rate constraint is determined by following formula (13) and (14):

$P_{g,n,i,k}-P_{g,n,i,k-1}\≤g_{g,n,i}^{\mathrm{up}}---\left(13\right)$

$P_{g,n,i,k-1}-P_{g,n,i,k}\≥P_{g,n,i}^{\mathrm{down}}---\left(14\right)$

Described back pressure type thermal power plant unit power generation characteristics constraint is determined by following formula (15):

P _g,n,i,k＝H _g,n,i,k·d(15)

Described bleeder thermal power plant unit power generation characteristics constraint is determined by following formula (16) and (17):

P _g,n,i,k＞H _g,n,i,k·d(16)

P _g,n,i,max-P _g,n,i,k≥H _g,n,i,k·e(17)

Wherein, P _{g, n, i, max}, P _{g, n, i, min}be respectively fired power generating unit to exert oneself bound, T _{n, i, on}, T _{n, i, off}be respectively fired power generating unit i minimum continuous on time and minimum continuous stop time, be respectively the Ramp Rate bound of unit i, d and e is respectively the electric heating Transformation Parameters of back pressure type and bleeder thermal power plant unit;

Described output of wind electric field constraint is determined by following formula (18):

0≤P _{w，n，i，k}≤P ^* _{w，n，i，k}(18)。

Another preferred a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, described step (4) solves the model of described step (2) according to described step (1) and step (3).

Another preferred a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, if the adaptability of analysis and evaluation electrical network in planning, before and after more newly-built transmission line of electricity, the increase of the change of the load factor of key sections transmission line of electricity and ability to transmit electricity impact that wind-electricity integration is dissolved;

If the adaptability of analysis and evaluation power supply in planning, compare after wind-powered electricity generation accesses on a large scale, the change of conventional power unit load factor, unit cost of electricity-generating and the change of conventional power unit peak regulation requirement capability;

If the economy of analysis and evaluation scheme in planning, the change of system operation cost, newly-built track investment expense and wind-powered electricity generation annual utilization hours under more different wind power integration capacity and on-position.

With immediate prior art ratio, the invention provides technical scheme and there is following excellent effect

1, the present invention enough effectively solves the drawback that in wind-powered electricity generation plan model, grid adaptability is strong, not less economical, provides a kind of planning modeling method of more economical rationality;

2, the present invention is under system power supply plans fixed situation, model is considered unified for many factors, take into account simultaneously peak-load regulating and ability to transmit electricity constraint, by programme wind-electricity integration dissolve maximization and system investments operating cost minimize between reasonably trade off;

3, the wind-powered electricity generation Optimal Planning Model that the present invention builds is a MILP (Mixed Integer Linear Programming) model, its integer variable comprises thermal power unit operation state and transmission line construction state, model both can assess the peak modulation capacity of fired power generating unit to the impact of transmission line of electricity investment construction, also can assess the impact of electrical grid transmission ability on peak-load regulating, there is stronger coupling;

4, the present invention builds inearized model, is of value to the wind-powered electricity generation optimization planning problem solving speed improving large-scale wind power access;

5, the present invention is by arranging different parameters and considering that different constraints can obtain the wind-powered electricity generation optimization planning scheme under different sight;

6, the present invention both fully can be received to target and planned by wind-powered electricity generation, also can be minimised as target with system cloud gray model cost of investment and plan;

7, the present invention both can assess the impact of wind power integration on conventional thermal power unit operation state, then determined whether wind-powered electricity generation is rationally dissolved; Also the comprehensive optimal case of wind energy turbine set installed capacity, wind energy turbine set position and transmission line construction can be obtained;

8, the present invention can also assess wind energy turbine set different capabilities and position and transmission line of electricity invest between economy relation, thus wind-powered electricity generation planning personnel can be made to set about analyzing wind-powered electricity generation programme pros and cons from multiple angle, decision-making goes out comprehensive optimum wind-powered electricity generation programme.

Accompanying drawing explanation

Fig. 1 is the inventive method process flow diagram;

Fig. 2 is IEEE30 node system topological structure schematic diagram of the present invention.

Embodiment

Below in conjunction with embodiment, the invention will be described in further detail.

Embodiment 1:

As shown in Figure 1-2, a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy of the invention of this example, comprises the following steps:

Step 1: the load prediction information obtaining systems organization forcasted years, forcasted years normal power supplies regional planning information, machine set technology parameter, electrical network key sections information; Wind energy resources information, existing Electric Power Network Planning information.

Step 2: structure computation model, comprises the following steps:

2.1st step: when system power supply planning is determined, build optimization aim in multi area interconnection electrical network: minimum for objective function with the wind expense of abandoning of forcasted years, the investment of newly-built transmission line of electricity and system operation cost sum.Comprise integer variable and continuous variable in described optimization aim, quadratic function is wherein carried out linearization, model is MILP (Mixed Integer Linear Programming) model.

2.2nd step: build constraint condition, comprising:

Region power balance constraint;

Region thermodynamic equilibrium constraint;

Interregional line transmission power limit constraint;

Load Reserve Constraint;

Fired power generating unit retrains, and comprising: the constraint of fired power generating unit generating bound, minimum start-off time constraints, ramping rate constraints, and back pressure type fired power generating unit power generation characteristics retrains, and bleeder fired power generating unit power generation characteristics retrains;

Wind energy turbine set retrains, and comprising: Wind turbines units limits;

Transmission constraints, comprising: the intensive bundle of the newly-built transmission line of electricity of interregional permission, the newly-built number of lines constraint of interregional permission;

Step 3: the installed capacity of setting wind energy turbine set and installation region, the grid load rate upper limit, chooses according to the deflection degree of target and abandon wind cost coefficient.

Step 4: the planning level yearly peak load information that step 1 is obtained, fixed forcasted years normal power supplies regional planning information, machine set technology parameter, region key sections information, wind power resources information, the parameter that existing Electric Power Network Planning information and step 3 set, brings the computation model built in step 2 into, solves.

Further, the load prediction information of systems organization forcasted years in step 1, comprises electric load and thermal load information; Electrical network key sections information can be determined by load in the feature of power network topology and system and power distribution situation; Forcasted years normal power supplies regional planning information can be obtained by the power source planning of this system; Wind energy resources information, can estimate from the wind-powered electricity generation statistics in former years.

Further, the optimization aim described in the 2.1st step in step 2 is obtained by formula (1):

minF＝F _g+F _w+Σm _j·C _j(1)

$F_g=\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\underset{i=1}{\overset{I}{\mathrm{\Σ}}}(U_{n,i,k}f\left(P_{g,n,i,k}\right)+U_{n,i,k}\left({1-U}_{n,i,k-1}\right)S_{n.i})---\left(2\right)$

$F_w=\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\underset{i=1}{\overset{I}{\mathrm{\Σ}}}{\mathrm{\β}}_{n,i}({P^{*}}_{w,n,i,k}-P_{w,n,i,k})---\left(3\right)$

Wherein, i is machine group #, and i=1,2...I, I are the sum of fired power generating unit and wind energy turbine set; K=1,2...K, K are period sum; N=1,2...N, N are the sub area division sum divided according to electrical network key sections information.F _gfor cost of electricity-generating, the P of fired power generating unit _{g, n, i, k}for the fired power generating unit i in the n of region is at the generated output of several sections of k, U _{n, i, k}for the fired power generating unit i in the n of region is in the start and stop state of k period, S _n,ifor the machine that the opens expense of fired power generating unit i, f (P _{g, n, i, k}) be thermal power unit operation cost, i.e. fuel cost, represent as follows: f (P _{g, n, i, k})=a _n,i+ b _n,ip _{g, n, i, k}; F _wwind expense is abandoned, P for wind energy turbine set _{w, n, i, k}for the actual invoked wind power total amount of k period wind energy turbine set i, P ^* _{w, n, i, k}for the wind power total amount that k period wind energy turbine set i predicts, β _n,ifor abandoning wind penalty factor; m _jfor at subregion x, newly-built number of, lines between n, C _jfor newly-built circuit is at the investment construction cost in planning level year.

Further, described optimization aim comprises following several situation: if fully to receive wind-powered electricity generation in planning, then ensure to abandon that air quantity is minimum takes into account economy for primary goal, can abandon wind cost coefficient and be set to be several times as much as the maximal value of normal power supplies operating cost; If based on economy in planning, then guarantee system cost is minimum is primary goal, suitably can abandon wind, will abandon wind cost coefficient and be set to 0.1; Consider if compromise, then will abandon wind cost coefficient and be arranged between the two.

Further, the constraint condition described in the 2.2nd step in step 2 comprises:

(1) system restriction:

1) region power balance constraint:

$\underset{i=1}{\overset{I}{\mathrm{\Σ}}}(P_{g,n,i,k}+P_{w,n,i,k})+\underset{x\∈N}{\mathrm{\Σ}}{P}_{x,n,k}=P_{d,n,k}+\underset{z\∈N}{\mathrm{\Σ}}{P}_{z,n,k}---\left(4\right)$

2) region thermodynamic equilibrium constraint

$\underset{i=1}{\overset{I}{\mathrm{\Σ}}}{H}_{g,n,i,k}=H_{d,n,k}---\left(5\right)$

3) load Reserve Constraint

$\underset{i=1}{\overset{I}{\mathrm{\Σ}}}{U}_{n,i,k}(P_{g,n,i,\max }-P_{g,n,i,k})\≥R_{w,n,k}+R_{d,n,k}---\left(6\right)$

4) interregional line transmission power limit constraint

$P_{x,n,k}\≤P_{x,n,\max }+m_j{P}_{x,n,\max }^j---\left(7\right)$

5) newly-built transmission line of electricity number constraint

0≤m _j≤m _j,max(8)

6) power line load rate constraint

$P_{x,n,k}/(P_{x,n,\max }+m_j{P}_{x,n,\max }^j)\≤\mathrm{\γ}---\left(9\right)$

Wherein P _{x, n, k}for existing line between x subregion and n subregion is at the transferring electric power of k period; P _{x, n, max}for the transmission limit of existing line between x subregion and n subregion; P _{z, n, k}that subregion n is subject to or electricity sent outside at the outer of k period; R _{w, n, k}, R _{d, n, k}that subregion n is for subsequent use for subsequent use with wind-powered electricity generation at the load of period k respectively; H _{g, n, i, k}be in subregion n unit i in the heating load of period k, H _{d, n, k}the heat demand of subregion n at period k, the transmission limit of newly-increased transmission line of electricity j between x subregion and n subregion, m _{j, max}be allow newly-built transmission line of electricity transformation between x subregion and n subregion, γ is the power line load rate upper limit.

(2) fired power generating unit constraint

1) unit generation bound constraint

U _n,i,kP _g,n,i,min≤P _g,n,i,k≤U _n,i,kP _g,n,i,max(10)

2) minimum start-off time constraints

(u _n,i,k-1-u _n,i,k)(T _n,i,k-1-T _n,i,on)≥0(11)

(u _n,i,k-u _n,i,k-1)(-T _n,i,k-1-T _n,i,off)≥0(12)

3) Unit Ramp Rate constraint

$P_{g,n,i,k}-P_{g,n,i,k-1}\≤g_{g,n,i}^{\mathrm{up}}---\left(13\right)$

$P_{g,n,i,k-1}-P_{g,n,i,k}\≥P_{g,n,i}^{\mathrm{down}}---\left(14\right)$

4) back pressure type thermal power plant unit power generation characteristics constraint

P _g,n,i,k＝H _g,n,i,k·d(15)

5) bleeder thermal power plant unit power generation characteristics constraint

P _g,n,i,k＞H _g,n,i,k·d(16)

P _g,n,i,max-P _g,n,i,k≥H _g,n,i,k·e(17)

Wherein, P _{g, n, i, max}, P _{g, n, i, min}be respectively fired power generating unit to exert oneself bound, T _{n, i, on}, T _{n, i, off}be respectively fired power generating unit i minimum continuous on time and minimum continuous stop time, be respectively the Ramp Rate bound of unit i, d and e is respectively the electric heating Transformation Parameters of back pressure type and bleeder thermal power plant unit.

(3) output of wind electric field constraint

0≤P _{w，n，i，k}≤P ^* _{w，n，i，k}(18)

Further, if in planning the adaptability of analysis and evaluation electrical network, can before and after more newly-built transmission line of electricity, the load factor change of key sections transmission line of electricity, and the impact that the increase of ability to transmit electricity is dissolved on wind-electricity integration.

Further, if in planning the adaptability of analysis and evaluation power supply, can compare after wind-powered electricity generation accesses on a large scale, the change of conventional power unit load factor and unit cost of electricity-generating, and the change of conventional power unit peak regulation requirement capability.

Further, if in planning the economy of analysis and evaluation scheme, can under more different wind power integration capacity and on-position, the change of system operation cost, newly-built track investment expense and wind-powered electricity generation annual utilization hours.

Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; although those of ordinary skill in the field are to be understood that with reference to above-described embodiment: still can modify to the specific embodiment of the present invention or equivalent replacement; these do not depart from any amendment of spirit and scope of the invention or equivalent replacement, are all applying within the claims of the present invention awaited the reply.

Claims (13)

1. consider a wind-powered electricity generation optimization planning modeling method for electric system adaptability and economy, it is characterized in that: said method comprising the steps of:

(1) electric system essential information is obtained;

(2) computation model is built;

(3) set the installed capacity of wind energy turbine set, installation region, the grid load rate upper limit and the deflection degree according to target choose and abandon wind cost coefficient;

(4) described model is solved.

2. a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy as claimed in claim 1, is characterized in that: the essential information in described step (1) comprises the load prediction information of Power System Planning forcasted years, forcasted years normal power supplies regional planning information, machine set technology parameter, electrical network key sections information, wind energy resources information and existing Electric Power Network Planning information.

3. a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy as claimed in claim 2, is characterized in that: the load prediction information of described Power System Planning forcasted years comprises electric load and thermal load information; Described electrical network key sections information is determined by load and power distribution situation in the feature of power network topology, electric system; Described forcasted years normal power supplies regional planning information is obtained by the power source planning of this electric system; Described wind energy resources information, determines from the wind-powered electricity generation statistics in former years.

4. a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy as claimed in claim 1, is characterized in that: the structure model process in described step (2) is:

(2-1) when electric power system power source planning is determined, in some regional internet electrical networks, optimization aim is built;

(2-2) constraint condition is built.

5. a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy as claimed in claim 4, is characterized in that: the optimization aim of described step (2-1) is minimum for objective function with the wind expense of abandoning of forcasted years, the investment of newly-built transmission line of electricity and system operation cost sum; Comprise integer variable and continuous variable in described optimization aim, the quadratic function in described optimization aim is carried out linearization, described model is MILP (Mixed Integer Linear Programming) model.

6. a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy as claimed in claim 5, is characterized in that: the constraint condition of described step (2-2) comprises electric system constraint, fired power generating unit constraint and wind energy turbine set constraint.

7. a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy as claimed in claim 5, is characterized in that: described optimization aim is determined by following formula (1):

minF＝F _g+F _w+Σm _j·C _j(1)

Wherein, $F_g=\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\underset{i=1}{\overset{I}{\mathrm{\Σ}}}(U_{n,i,k}f\left(P_{g,n,i,k}\right)+U_{n,i,k}\left({1-U}_{n,i,k-1}\right)S_{n.i})---\left(2\right)$

$F_w=\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\underset{i=1}{\overset{I}{\mathrm{\Σ}}}{\mathrm{\β}}_{n,i}({P^{*}}_{w,n,i,k}-P_{w,n,i,k})---\left(3\right)$

I is machine group #, and i=1,2...I, I are the sum of fired power generating unit and wind energy turbine set; K=1,2...K, K are period sum; N=1,2...N, N are the sub area division sum divided according to electrical network key sections information; F _gfor cost of electricity-generating, the P of fired power generating unit _{g, n, i, k}for the fired power generating unit i in the n of region is at the generated output of several sections of k, U _{n, i, k}for the fired power generating unit i in the n of region is in the start and stop state of k period, S _n,ifor the machine that the opens expense of fired power generating unit i, f (P _{g, n, i, k}) be thermal power unit operation cost; F _wwind expense is abandoned, P for wind energy turbine set _{w, n, i, k}for the actual invoked wind power total amount of k period wind energy turbine set i, P ^* _{w, n, i, k}for the wind power total amount that k period wind energy turbine set i predicts, β _n,ifor abandoning wind penalty factor; m _jfor at subregion x, newly-built number of, lines between n, C _jfor newly-built circuit is at the investment construction cost in planning level year.

8. a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy as claimed in claim 7, is characterized in that: described optimization aim comprises:

If fully to receive wind-powered electricity generation in planning, then ensure to abandon that air quantity is minimum takes into account economy for primary goal, will wind cost coefficient be abandoned be set to be several times as much as the maximal value of normal power supplies operating cost; If based on economy in planning, then guarantee system cost is minimum is primary goal, suitably abandons wind, will abandon wind cost coefficient and be set to 0.1; Consider if compromise, then will abandon wind cost coefficient and be arranged between the two.

9. a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy as claimed in claim 6, is characterized in that: described electric system constraint comprises region power balance constraint, the constraint of region thermodynamic equilibrium, the constraint of interregional line transmission power limit, load Reserve Constraint and Transmission constraints; The constraint of described transmission of electricity new road comprises the intensive bundle of the newly-built transmission line of electricity of interregional permission and the newly-built number of lines constraint of interregional permission;

Described fired power generating unit constraint comprises the constraint of fired power generating unit generating bound, minimum start-off time constraints, ramping rate constraints, the constraint of back pressure type fired power generating unit power generation characteristics and the constraint of bleeder fired power generating unit power generation characteristics;

Wind energy turbine set constraint comprises Wind turbines units limits.

10. a kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy as claimed in claim 9, is characterized in that: described electric power constraint is determined by following formula (4)-(9):

The power balance constraint of described region is determined by following formula (4):

$\underset{i=1}{\overset{I}{\mathrm{\Σ}}}(P_{g,n,i,k}+P_{w,n,i,k})+\underset{x\∈N}{\mathrm{\Σ}}{P}_{x,n,k}=P_{d,n,k}+\underset{z\∈N}{\mathrm{\Σ}}{P}_{z,n,k}---\left(4\right)$

The thermodynamic equilibrium constraint of described region is determined by following formula (5):

$\underset{i=1}{\overset{I}{\mathrm{\Σ}}}{H}_{g,n,i,k}=H_{d,n,k}---\left(5\right)$

Described load Reserve Constraint is determined by following formula (6):

$\underset{i=1}{\overset{I}{\mathrm{\Σ}}}{U}_{n,i,k}(P_{g,n,i,\max }-P_{g,n,i,k})\≥R_{w,n,k}+R_{d,n,k}---\left(6\right)$

Described interregional line transmission power limit constraint is determined by following formula (7):

$P_{x,n,k}\≤P_{x,n,\max }+m_j{P}_{x,n,\max }^j---\left(7\right)$

Described newly-built transmission line of electricity number constraint is determined by following formula (8):

0≤m _j≤m _j,max(8)

Described power line load rate constraint is determined by following formula (9):

$P_{x,n,k}/(P_{x,n,\max }+m_j{P}_{x,n,\max }^j)\≤\mathrm{\γ}---\left(9\right)$

Wherein, P _{x, n, k}for existing line between x subregion and n subregion is at the transferring electric power of k period; P _{x, n, max}for the transmission limit of existing line between x subregion and n subregion; P _{z, n, k}that subregion n is subject to or electricity sent outside at the outer of k period; R _{w, n, k}, R _{d, n, k}that subregion n is for subsequent use for subsequent use with wind-powered electricity generation at the load of period k respectively; H _{g, n, i, k}be in subregion n unit i in the heating load of period k, H _{d, n, k}the heat demand of subregion n at period k, the transmission limit of newly-increased transmission line of electricity j between x subregion and n subregion, m _{j, max}be allow newly-built transmission line of electricity transformation between x subregion and n subregion, γ is the power line load rate upper limit, P _{g, n, i, max}be respectively fired power generating unit to exert oneself the upper limit.

11. a kind of wind-powered electricity generation optimization planning modeling methods considering electric system adaptability and economy as claimed in claim 10, is characterized in that: described fired power generating unit constraint is determined by following formula (9)-(17):

Described unit generation bound constraint is determined by following formula (10):

U _n,i,kP _g,n,i,min≤P _g,n,i,k≤U _n,i,kP _g,n,i,max(10)

Described minimum start-off time constraints is determined by following formula (11) and (12):

(U _n,i,k-1-U _n,i,k)(T _n,i,k-1-T _n,i,on)≥0(11)

(U _n,i,k-U _n,i,k-1)(-T _n,i,k-1-T _n,i,off)≥0(12)

Described Unit Ramp Rate constraint is determined by following formula (13) and (14):

$P_{g,n,i,k}-P_{g,n,i,k-1}\≤g_{g,n,i}^{\mathrm{up}}---\left(13\right)$

$P_{g,n,i,k-1}-P_{g,n,i,k}\≥P_{g,n,i}^{\mathrm{down}}---\left(14\right)$

Described back pressure type thermal power plant unit power generation characteristics constraint is determined by following formula (15):

P _g,n,i,k＝H _g,n,i,k·d(15)

Described bleeder thermal power plant unit power generation characteristics constraint is determined by following formula (16) and (17):

P _g,n,i,k＞H _g,n,i,k·d(16)

P _g,n,i,max-P _g,n,i,k≥H _g,n,i,k·e(17)

Wherein, P _{g, n, i, max}, P _{g, n, i, min}be respectively fired power generating unit to exert oneself bound, T _{n, i, on}, T _{n, i, off}be respectively fired power generating unit i minimum continuous on time and minimum continuous stop time, be respectively the Ramp Rate bound of unit i, d and e is respectively the electric heating Transformation Parameters of back pressure type and bleeder thermal power plant unit;

Described output of wind electric field constraint is determined by following formula (18):

0≤P _w,n,i,k≤P ^* _w,n,i,k(18)。

12. a kind of wind-powered electricity generation optimization planning modeling methods considering electric system adaptability and economy as claimed in claim 1, is characterized in that: described step (4) solves the model of described step (2) according to described step (1) and step (3).

13. a kind of wind-powered electricity generation optimization planning modeling methods considering electric system adaptability and economy as claimed in claim 9, it is characterized in that: if in planning the adaptability of analysis and evaluation electrical network, before and after more newly-built transmission line of electricity, the load factor change of key sections transmission line of electricity and the increase of ability to transmit electricity impact that wind-electricity integration is dissolved;

If the adaptability of analysis and evaluation power supply in planning, compare after wind-powered electricity generation accesses on a large scale, the change of conventional power unit load factor, unit cost of electricity-generating and the change of conventional power unit peak regulation requirement capability;

If the economy of analysis and evaluation scheme in planning, the change of system operation cost, newly-built track investment expense and wind-powered electricity generation annual utilization hours under more different wind power integration capacity and on-position.