CN104766226A - Power grid security stability calculation method based on time-of-use electricity price strategy - Google Patents
Power grid security stability calculation method based on time-of-use electricity price strategy Download PDFInfo
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Abstract
The invention discloses a power grid security calculation method based on a time-of-use electricity price strategy. The relation between the current peak, valley and flat electric price in different time periods and the load of a power grid in Liaoning is analyzed, the relation between the electric price and the load in a typical industrial district is found out, and an equivalent mathematic model is established. The price strategies of different electric selling enterprises are simulated, different electric price schemes are compared, and a win-win electric price strategy model capable of reducing the electric use cost of users and ensuring the profit of the power grid enterprise is found out. The electric use habits of the users are changed through the demand side management in the future, peak load shifting is conducted, and therefore the safety problems such as thermal stability and transient stability, caused by the too large peak and valley difference, of the power grid in Liaoning are solved fundamentally.
Description
Technical field
The present invention relates to one in demand Side Management, economic model and engineering model are combined, applied economics theory carries out the method for security analysis of electric power system calculating.
Background technology
Disclose new electric Power Reform scheme at the beginning of China 2014, determine to carry out market-oriented reform in sale of electricity side, introduce independently sale of electricity company, independent price, carries out market competition.The key problem of the marketization is embodied in power pin and sells in free competition, so the core of electric Power Reform is the electricity price regulation reform of all-round market orientation.Electricity price regulation reform certainly will change existing power system operation mode, brings new problem to power grid security.
Because sales marketization reform concept proposes the earliest at the beginning of 2014, national grid does not introduce the sale of electricity side company of the marketization before this, so do not have about sale of electricity company by market demand adjustment power price and then the research affecting electricity net safety stable.In addition, because electrical network sales department is only responsible for power marketing business, the evaluation works such as an electrical network scientific research department load grid simulation operation, the two does not have the marketization of joint study distribution side electricity net safety stable to be affected to the precedent of problem, cause electricity market research to be in recent years only confined to theory, lack practical value.In this context, grid side is badly in need of the positive and negative influence that understanding new round power market reform is brought to electrical network actual motion.
Summary of the invention
Goal of the invention:
The invention provides a kind of electricity net safety stable computing method based on tou power price strategy, its objective is by the change of load curve adjustment grid side equilibrium of supply and demand, peak load shifting, and then the thermally-stabilised and transient stability problem solving puzzlement industrial load area, realize electrical network reliable and economic and run.
Technical scheme:
Based on electricity net safety stable computing method for tou power price strategy, it is characterized in that: first calculate the mathematical relation between electric load and electricity price under typical operation modes, secondly obtain different electric loads corresponding to different electricity price by mathematical model; Finally, by changing electricity price change of load, and then controlling the power system operating mode of this area, improving this area's power grid security and stability.
The method concrete steps are as follows:
(1) choose industrial load and take up an area the larger area power grid of district's total load proportion as research object;
(2) by inquiry electrical network real-time parameter, the per day load curve of this area's typical case's substation's band is obtained;
(3) calculate and choose the load mean value of transformer station at each rate period; Each moment load mean value in fixed time section is added, divided by constantly counting, obtain the load mean value in fixed time section: (X1+X2+X3+ ... Xn)/n=X, (Y1+Y2+Y3+ ... Yn)/n=Y, (Z1+Z2+Z3+ ... Zn)/n=Z (1); X is average load peak period (MW), and Y is low-valley interval average load (MW), Z is average period average load (MW), and n counts in the moment;
(4) calculate in existing system of electricity price the electricity charge monthly average value paid of all power consumers chosen transformer station and connect, be namely multiplied by the average load value of this period by the electricity price of each period;
1.34 yuan/kWh*1000*8 hour * X MW+0.5 unit/kWh*1000*7 hour * YMW+0.898 unit/kWh*1000*9 hour * Z MW=A unit (2);
A is the electricity charge monthly average value that all power consumers choosing transformer station's connection are paid;
(5) use the existing fitting tool of Matlab to carry out matching to existing industrial user's system of electricity price and day part load, and simulate maximum peak-valley difference moment load curve; In Matlab, input three load mean value X that peak valley puts down three time periods, Y, Z, as ordinate value, link this three points by matching function, draw a curve;
(6) change original pricing system, original changeless peak, low ebb and average electricity price are adjusted, be set as x unit/kWh, y unit/kWh and z unit/kWh respectively, make user's electric cost be less than original electric cost;
X unit/kWh*1000*8 hour * X MW+y unit/kWh*1000*7 hour * Y MW+z unit/kWh*1000*9 hour * Z MW<A unit (3);
(7) with 3D figure, draw inequality (3), namely new electricity price is horizontal ordinate, and cost is ordinate; And maximum peak-valley difference moment load curve under simulating the program, namely use the method for step (5) to simulate to rise to from low ebb load the load curve in a hour of peak load;
(8) conclude the maximum peak-valley difference under different pricing strategy, and find out the minimum value of the peak-valley difference of various pricing strategy;
(9) N-1 Security Checking is carried out to this area, namely disconnect certain circuit, calculate trend, find out the circuit that active power exceeds its thermally-stabilised limit, and find out the circuit that active power do not exceed the steady limit of heat; Under different price strategy, multilayer output feedback network analysis is carried out to this area respectively, namely suppose that certain circuit occurs three and relatively calculates merit angle and the voltage fluctuation situation of choosing transformer station after fault, find out the merit angle of transformer station before fault, in fault and after fault and magnitude of voltage; Find out and choose the price plan that the fluctuation of transformer station's merit angle is little or voltage resume is fast.
Advantage and effect:
The present invention, by analyzing the relation of the existing Different periods peak valley ordinary telegram valency of Liaoning electric power grid and load, finds out the relation between typical industry area electricity price and load, sets up equivalent mathematical model.By simulating the price strategy of different sale of electricity company, contrasting different electricity price scheme, have found and a kind ofly can reduce the doulbe-sides' victory electrovalence policy model that user power utilization cost can ensure again grid company profit.Face the future, by dsm, change user power utilization custom, and then implement peak load shifting, fundamentally solve the safety problems such as the thermally-stabilised and transient stability of Liaoning partial electric grid caused because peak-valley difference is excessive.Economic model and engineering model creatively combine by the present invention, economic theory is applied in security analysis of electric power system calculating, immediately following electric Power Reform overall situation, deep-cuts Power Market In China development, anticipation following 10-20 Liaoning electric power grid development situation, application prospect is very wide.
Accompanying drawing explanation
Somewhere, Fig. 1 north partial electric grid wiring diagram;
Fig. 2 somewhere 220kV transformer station P month daily load curve;
Fig. 3 is the matched curve of load and electricity price;
Load curve fitting result figure during Fig. 4 is the maximum peak-valley difference of 20:05 to 23:00;
Fig. 5 is that electrical network profit model and electricity price relation 3D scheme;
Load curve fitting result figure during Fig. 6 is the maximum peak-valley difference of 20:05 to 23:00;
Fig. 7 electrical network profit model and electricity price relation 3D scheme;
Load curve fitting result figure during Fig. 8 is the maximum peak-valley difference of 20:05 to 23:00;
Fig. 9 is that electrical network profit model and electricity price relation 3D scheme;
Load curve fitting result figure during Figure 10 is the maximum peak-valley difference of 20:05 to 23:00.
Embodiment
The electricity market reform that China in 2014 formally carries out.Namely market competition is introduced in sale of electricity side, and sale of electricity company independently formulates electricity price scheme, and user selects electricity consumption set meal voluntarily, and therefore sales marketization will exert far reaching influence from electrical network end to electrical network entirety.The present invention, by analyzing the relation of the existing Different periods peak valley ordinary telegram valency of Liaoning electric power grid and load, finds out the relation between typical industry area electricity price and load, sets up equivalent mathematical model.By simulating the price strategy of different sale of electricity company, contrasting different electricity price scheme, finding out and a kind ofly can reduce the doulbe-sides' victory electrovalence policy model that user power utilization cost can ensure again grid company profit.Face the future, by dsm, change user power utilization custom, and then implement peak load shifting, fundamentally solve the safety problems such as the thermally-stabilised and transient stability of Liaoning partial electric grid caused because peak-valley difference is excessive.
The present invention proposes to formulate Electricity Price Strategy by independently sale of electricity company first time and changes the user power utilization custom, by the change of load curve adjustment grid side equilibrium of supply and demand, peak load shifting, and then the thermally-stabilised and transient stability problem solving puzzlement industrial load area, realize electrical network reliable and economic and run.
Based on electricity net safety stable computing method for tou power price strategy, it is characterized in that: first calculate the mathematical relation between electric load and electricity price under typical operation modes, secondly obtain different electric loads corresponding to different electricity price by mathematical model; Finally, by changing electricity price change of load, and then controlling the power system operating mode of this area, improving this area's power grid security and stability; Concrete steps are as follows:
(1) choose industrial load and take up an area the larger area power grid of district's total load proportion as research object;
(2) by inquiry electrical network real-time parameter, the per day load curve of this area's typical case's substation's band is obtained;
(3) calculate and choose the load mean value of transformer station at each rate period; Each moment load mean value in fixed time section is added, divided by constantly counting, obtain the load mean value in fixed time section: (X1+X2+X3+ ... Xn)/n=X, (Y1+Y2+Y3+ ... Yn)/n=Y, (Z1+Z2+Z3+ ... Zn)/n=Z (1); X is average load peak period (MW), and Y is low-valley interval average load (MW), Z is average period average load (MW), and n counts in the moment;
(4) calculate in existing system of electricity price the electricity charge monthly average value paid of all power consumers chosen transformer station and connect, be namely multiplied by the average load value of this period by the electricity price of each period;
1.34 yuan/kWh*1000*8 hour * X MW+0.5 unit/kWh*1000*7 hour * YMW+0.898 unit/kWh*1000*9 hour * Z MW=A unit (2);
A is the electricity charge monthly average value that all power consumers choosing transformer station's connection are paid;
(5) use the existing fitting tool of Matlab to carry out matching to existing industrial user's system of electricity price and day part load, and simulate maximum peak-valley difference moment load curve; In Matlab, input three load mean value X that peak valley puts down three time periods, Y, Z, as ordinate value, link this three points by matching function, draw a curve;
(6) change original pricing system, original changeless peak, low ebb and average electricity price are adjusted, be set as x unit/kWh, y unit/kWh and z unit/kWh respectively, make user's electric cost be less than original electric cost;
X unit/kWh*1000*8 hour * X MW+y unit/kWh*1000*7 hour * Y MW+z unit/kWh*1000*9 hour * Z MW<A unit (3);
(7) with 3D figure, draw inequality (3), namely new electricity price is horizontal ordinate, and cost is ordinate; And maximum peak-valley difference moment load curve under simulating the program, namely use the method for step (5) to simulate to rise to from low ebb load the load curve in a hour of peak load;
(8) conclude the maximum peak-valley difference under different pricing strategy, and find out the minimum value of the peak-valley difference of various pricing strategy;
(9) N-1 Security Checking is carried out to this area, namely disconnect certain circuit, calculate trend, find out the circuit that active power exceeds its thermally-stabilised limit, and find out the circuit that active power do not exceed the steady limit of heat; Under different price strategy, multilayer output feedback network analysis is carried out to this area respectively, namely suppose that certain circuit occurs three and relatively calculates merit angle and the voltage fluctuation situation of choosing transformer station after fault, find out the merit angle of transformer station before fault, in fault and after fault and magnitude of voltage; Find out and choose the price plan that the fluctuation of transformer station's merit angle is little or voltage resume is fast.
Select best price scheme from the viewpoint of technology and economical two, the program can reduce user power utilization cost also can increase electrical network income, can improve electric network security simultaneously.
Below in conjunction with the drawings and specific embodiments, the present invention is described further:
Embodiment 1:
Based on the electricity net safety stable computing method of tou power price strategy, concrete steps are as follows:
(1) choose northern industrial load proportion larger area partial electric grid to study, draw equivalent electric network wiring scheme, as shown in Figure 1, round dot A is 500Kv transformer station, and round dot B, C and P are 200Kv transformer stations.Square icon is generating plant, and dotted line is Program Construction circuit.
(2) according to the data that national grid D5000 platform provides, this industrial load proportion larger area 220kV transformer station P is calculated at certain monthly average daily load and curve.Because D5000 platform carried out a DATA REASONING every 5 minutes, can by certain month every day synchronization load value phase adduction divided by number of days, obtain the average load in each moment.Finally each the moment load mean value calculated is linked up, as shown in Figure 2, obtain complete 24 hours load curves.
(3) according to existing industrial user's system of electricity price, the load mean value of 220kV transformer station P at each rate period is calculated.Existing industrial user's electricity price is tou power price, wherein every day 7:30-11:30,17:00-21:00 is load boom period, electricity price 1.34 Renminbi/kWh; 22:00-5:00 is the load valley phase, electricity price 0.5 Renminbi/kWh; 5:00-7:30,11:30-17:00,21:00-22:00 are the load average phase, electricity price 0.898 Renminbi/kWh.Each moment load mean value in fixed time section being added, divided by constantly counting, just obtaining the load mean value in fixed time section.
The existing industrial user's system of electricity price of table 1.
Table 2 220kV transformer station P is at the load mean value of each rate period.
(4) electricity charge monthly average value that all power consumers calculating transformer station P connection in existing system of electricity price are paid, is namely multiplied by the average load value of this period by the electricity price of each period.
1.34RMB/kWh*1000*8hours*115.6618MW+0.5RMB/kWh*1000*7hours*391.5186MW+0.898RMB/kWh*1000*9hours*231.499MW＝4481184.514RMB (1)。
(5) use Matlab matching function to carry out matching to existing industrial user's system of electricity price and day part load, and simulate maximum peak-valley difference moment load curve.In Matlab, input peak valley put down three load mean values of three time periods as ordinate, link this three points by matching function, draw a curve, as shown in Figure 3.Load curve during simultaneously simulating the maximum peak-valley difference of 20:05 to 23:00, as shown in Figure 4.
Formula can be read in Matlab fitting result
F(x)＝p1*x^2+p2*x+p3 (2)，
Wherein p1=166.6, p2=-635, p3=667.4.
(6) step 6: change original pricing system, adjusts originally constant peak, low ebb and average electricity price.Such as, peak and low ebb electricity price are set to variable x and y, keep average electricity price constant.Meanwhile, constant even lower for maintaining user power utilization cost, draw grid electricity fee cost and electrical network profit model computing formula, namely new peak period electric cost and low ebb phase electric cost sum are less than former peak period electric cost and low ebb phase electric cost sum.And this inequality 3D figure is drawn formula intuitively, namely X and Y is horizontal ordinate, and cost is ordinate, as shown in Figure 5.Maximum peak-valley difference moment load curve under finally simulating the program, namely uses the method described in step (5) to simulate to rise to from low ebb load the load curve in a hour of peak load, as shown in Figure 6.
x RMB/kWh*1000*8hours*f(x)MW+y RMB/kWh*1000*7hours*f(y)MW-2610209.596RMB<0 (3)；
Peak and average electricity price are set to variable x and y, keep low ebb price constant.Meanwhile, constant even lower for maintaining user power utilization cost, draw grid electricity fee cost and electrical network profit model computing formula, namely new peak period electric cost and average phase electric cost sum are less than former peak period electric cost and average phase electric cost sum.And scheme with 3D, draw formula intuitively, namely X and Y is horizontal ordinate, and cost is ordinate, as shown in Figure 7.And maximum peak-valley difference moment load curve under simulating the program, namely use the method described in step (5) to simulate to rise to from low ebb load the load curve in a hour of peak load, as shown in Figure 8.
x RMB/kWh*1000*8hours*f(x)MW+y RMB/kWh*1000*9hours*f(y)MW-3110869.414RMB<0 (4)；
Maintain peak, low ebb and average electricity price constant, only change the time period of peak and low ebb.Constant even lower for maintaining user power utilization cost, draw grid electricity fee cost and electrical network profit model computing formula, peak and low ebb electricity price are set to variable x and y, keep average electricity price constant, new peak period electric cost and low ebb phase electric cost sum are less than former peak period electric cost and low ebb phase electric cost sum.And scheme with 3D, draw formula intuitively, namely X and Y is horizontal ordinate, and cost is ordinate, as shown in Figure 9.Load curve under finally simulating the program during maximum peak-valley difference, namely uses the method described in step (5) to simulate to rise to from low ebb load the load curve in a hour of peak load, as shown in Figure 10.
X RMB/kWh*1000*9hours*f(x)MW+y RMB/kWh*1000*6hours*f(y)MW-2610209.596RMB<0 (5)；
Table 3 new height and low ebb time period.
(7) sum up the maximum peak-valley difference under different pricing strategy, and find out the minimum value of the peak-valley difference of various pricing strategy.
| Time | A scheme | B scheme | C scheme | D scheme |
| 20:40 | 125.394 | 139.349 | 174.481 | |
| 21:30 | 402.033 | 402.71 | 320.814 | |
| 21:40 | 125.394 | |||
| 22:30 | 402.033 | |||
| Peak-valley difference | 276.639 | 263.361 | 146.333 | 276.639 |
Maximum peak-valley difference (MW) under the different pricing strategy of table 4.
(8) N-1 Security Checking is carried out to this area, namely disconnect certain circuit, calculate trend, find out the circuit that active power exceeds its thermally-stabilised limit, and find out the circuit that active power do not exceed the steady limit of heat.
N-1 Security Checking result (MW) under table 5 different schemes.
(9) under different price strategy, multilayer output feedback network analysis is carried out to this area respectively, namely suppose that merit angle and the voltage fluctuation situation that three relatively calculate transformer station P after fault occurs certain circuit, find out the merit angle of transformer station P before fault, in fault and after fault and magnitude of voltage.Find out the price plan that the fluctuation of transformer station's P merit angle is little or voltage resume is fast.
(10) select best price scheme from the viewpoint of technology and economical two, user power utilization cost can be reduced and also can increase electrical network income, can electric network security be improved simultaneously.
Claims (2)
1. based on electricity net safety stable computing method for tou power price strategy, it is characterized in that: first calculate the mathematical relation between electric load and electricity price under typical operation modes, secondly obtain different electric loads corresponding to different electricity price by mathematical model; Finally, by changing electricity price change of load, and then controlling the power system operating mode of this area, improving this area's power grid security and stability.
2. the electricity net safety stable computing method based on tou power price strategy according to claim 1, is characterized in that: the method concrete steps are as follows:
(1) choose industrial load and take up an area the larger area power grid of district's total load proportion as research object;
(2) by inquiry electrical network real-time parameter, the per day load curve of this area's typical case's substation's band is obtained;
(3) calculate and choose the load mean value of transformer station at each rate period; Each moment load mean value in fixed time section is added, divided by constantly counting, obtain the load mean value in fixed time section: (X1+X2+X3+ ... Xn)/n=X, (Y1+Y2+Y3+ ... Yn)/n=Y, (Z1+Z2+Z3+ ... Zn)/n=Z (1); X is average load peak period (MW), and Y is low-valley interval average load (MW), Z is average period average load (MW), and n counts in the moment;
(4) calculate in existing system of electricity price the electricity charge monthly average value paid of all power consumers chosen transformer station and connect, be namely multiplied by the average load value of this period by the electricity price of each period;
1.34 yuan/kWh*1000*8 hour * X MW+0.5 unit/kWh*1000*7 hour * YMW+0.898 unit/kWh*1000*9 hour * Z MW=A unit (2);
A is the electricity charge monthly average value that all power consumers choosing transformer station's connection are paid;
(5) use the existing fitting tool of Matlab to carry out matching to existing industrial user's system of electricity price and day part load, and simulate maximum peak-valley difference moment load curve; In Matlab, input three load mean value X that peak valley puts down three time periods, Y, Z, as ordinate value, link this three points by matching function, draw a curve;
(6) change original pricing system, original changeless peak, low ebb and average electricity price are adjusted, be set as x unit/kWh, y unit/kWh and z unit/kWh respectively, make user's electric cost be less than original electric cost;
X unit/kWh*1000*8 hour * X MW+y unit/kWh*1000*7 hour * Y MW+z unit/kWh*1000*9 hour * Z MW<A unit (3);
(7) with 3D figure, draw inequality (3), namely new electricity price is horizontal ordinate, and cost is ordinate; And maximum peak-valley difference moment load curve under simulating the program, namely use the method for step (5) to simulate to rise to from low ebb load the load curve in a hour of peak load;
(8) conclude the maximum peak-valley difference under different pricing strategy, and find out the minimum value of the peak-valley difference of various pricing strategy;
(9) N-1 Security Checking is carried out to this area, namely disconnect certain circuit, calculate trend, find out the circuit that active power exceeds its thermally-stabilised limit, and find out the circuit that active power do not exceed the steady limit of heat; Under different price strategy, multilayer output feedback network analysis is carried out to this area respectively, namely suppose that certain circuit occurs three and relatively calculates merit angle and the voltage fluctuation situation of choosing transformer station after fault, find out the merit angle of transformer station before fault, in fault and after fault and magnitude of voltage; Find out and choose the price plan that the fluctuation of transformer station's merit angle is little or voltage resume is fast.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112329980A (en) * | 2020-09-24 | 2021-02-05 | 国网辽宁省电力有限公司沈阳供电公司 | Method for improving power grid operation level by machine learning fixed electricity price |
| CN112529559A (en) * | 2020-03-30 | 2021-03-19 | 国网山东省电力公司临沂供电公司 | Electricity charge calculation scheme determination system and method |
| CN115388530A (en) * | 2022-08-25 | 2022-11-25 | 重庆大学 | Intelligent control method of radiant heat and cold supply system based on peak-valley electricity price |
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2015
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112529559A (en) * | 2020-03-30 | 2021-03-19 | 国网山东省电力公司临沂供电公司 | Electricity charge calculation scheme determination system and method |
| CN112329980A (en) * | 2020-09-24 | 2021-02-05 | 国网辽宁省电力有限公司沈阳供电公司 | Method for improving power grid operation level by machine learning fixed electricity price |
| CN115388530A (en) * | 2022-08-25 | 2022-11-25 | 重庆大学 | Intelligent control method of radiant heat and cold supply system based on peak-valley electricity price |
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Application publication date: 20150708 |