CN104598991B - Consider outer power transmission transaction, transprovincially transregional interconnection transaction and the Unit Combination acquisition methods of security constraint - Google Patents
Consider outer power transmission transaction, transprovincially transregional interconnection transaction and the Unit Combination acquisition methods of security constraint Download PDFInfo
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Abstract
The invention discloses one kind to consider outer power transmission transaction, transregional interconnection transaction transprovincially and the Unit Combination acquisition methods of security constraint, this method is traded plan and operation plan as background using Utilities Electric Co., need to embody the economic performance problem of trade variety and rule for electricity transaction, establish the mathematical model towards transaction composition, the object function of optimization is that Utilities Electric Co. buys outer power transmission transaction and transregional interconnection tranaction costs transprovincially are minimum, constraints includes the security constraint of operation of power networks, the physical constraint of unit operation and transaction composition constraint, the Utilities Electric Co. that can help to need to consider trade variety and rule formulates trading program and operation plan, improve the science and validity of decision-making, contribute to the power purchase strategy and purchases strategies of optimization Utilities Electric Co., lift the lean operation level of electricity transaction business.
Description
Technical Field
The invention belongs to the field of unit combination of electric power companies, transaction components and safety constraints, and particularly relates to the formulation of an operation plan considering outgoing power supply transaction and trans-provincial and trans-regional tie line transaction.
Background
From the situation of electric power marketization reformation in recent years, in the process of building a regional power grid unified electric power market mainly pursued by the state, due to the influence of various factors such as different economic development levels of various provinces, different electricity price levels and the like, the electric power marketization reformation encounters great difficulty and resistance, and the regional power grid unified electric power market also faces various complicated and sharp contradictions in the aspects of processing the coordination of the benefits of all the relevant parties and the like. Meanwhile, in order to meet the demand of rapid development of social economy, relieve the power supply contradiction and effectively solve the situation of coexistence of power shortage and power grid, the energy resource optimization configuration needs to be realized in the whole country. With the gradual operation of the extra-high voltage of alternating current and direct current, the connection between each large area and the power grid among provinces is increasingly tight, and a solid hardware foundation is provided for realizing the resource optimization configuration in the national range. Therefore, the large-area, inter-provincial and intra-provincial trading plans become the key point for realizing the global resource optimization configuration.
Because modeling of resources in electric power transaction is not limited to physical characteristics such as units and lines, economic characteristics such as transaction varieties and transaction rules need to be reflected more often. Therefore, under the goal of global resource optimization configuration, it is urgently needed to plan overall and research the power generation scheduling oriented to the transaction components according to the characteristics of different power transaction components. In the trade component, the optimal configuration of outgoing power trade and cross-province and cross-district junctor trade is mainly considered.
The combination of units in the power market environment has become a consensus considering network security constraints. The transmission of electric power must be supported by the electric power network and follow a specific physical law, i.e. always following a path of minimum impedance. That is, in the electricity market, it is difficult to determine the relationship between a specific consumer and a specific supplier. The influence of the network also causes the problem that electric energy transactions in different directions are mutually restricted. Therefore, the unit combination can realize the optimal electric energy transaction while ensuring the safe and reliable operation of the power grid only by considering the constraint of the power network.
Disclosure of Invention
The invention aims to provide a unit combination obtaining method considering external power transmission transaction, trans-provincial and trans-regional tie line transaction and safety constraint.
In order to achieve the purpose, the invention adopts the following technical scheme.
The method comprises the steps that firstly, the output dimension of an optimized variable unit is expanded to three dimensions, wherein the first dimension is time, the second dimension is a unit output value, the third dimension is a unit power transaction variety, and the transaction variety comprises an outgoing power transmission transaction, a trans-provincial and trans-regional tie line transaction and a basic power transaction;
secondly, establishing an optimization model, wherein the objective function of the optimization model is that the electricity outgoing transaction and the electricity purchasing expense of the trans-provincial and trans-regional tie line transaction of the system are minimum, and the constraint conditions of the optimization model comprise total unit output constraint, unit transaction electric quantity constraint participating in the electricity outgoing transaction, unit output constraint not participating in the electricity outgoing transaction, unit transaction electric quantity constraint participating in the trans-provincial and trans-regional tie line transaction and unit output constraint not participating in the trans-provincial and trans-regional tie line transaction;
and thirdly, solving the optimization model to obtain the output value of each transaction variety of the unit when the electricity purchasing cost is minimum.
The total output constraint of the unit is expressed as:
wherein Tra represents the number of traded varieties; pi,tRepresenting the total output value of the unit i in the t time period; pi,t,jAnd (4) representing the output value of the jth transaction variety of the unit i in the tth time period.
The unit transaction electric quantity constraint participating in the outgoing power supply transaction is represented as:
wherein,a delivery electricity transaction contract electricity amount value indicating the contract time Tout; tout represents the outgoing transaction contract time; iout represents the number of the machine sets participating in the external power transmission transaction; pi,t,outThe output value of the unit i for trading the variety in the t time period is represented as the outgoing power trading; Δ t represents the length of the time period.
The unit output constraint not participating in the external power transmission transaction is represented as:
wherein inotIndicating a unit that is not involved in the outgoing transaction.
The unit transaction electric quantity constraint participating in the trans-provincial and trans-regional tie line transaction is represented as follows:
wherein,representing a trans-provincial and trans-regional tie line trading contract electric quantity value signed at a contract time Tcont; tcont represents the cross-province cross-district junctor trade contract time; icont represents the number of units participating in cross-province and cross-district tie line transactions; pi,t,contRepresenting that the trade variety of the unit i in the t time period is the output value of trans-provincial and trans-regional tie line trade; Δ t represents the length of the time period.
The unit output constraint not participating in the cross-province and cross-district tie line transaction is represented as:
wherein inotRepresenting a crew that does not participate in cross-provincial, cross-regional tie transactions.
The constraint conditions of the optimization model further comprise unit output upper and lower limit constraints, unit minimum continuous start-stop time constraints, system power balance constraints, system reserve capacity constraints and line transmission capacity constraints.
The objective function is represented as:
wherein, F represents the electricity purchasing cost of the power company in the system outgoing power supply transaction and the trans-provincial and trans-regional connecting line transaction; t represents the number of time segments in the study period; i represents the number of units in the system; Δ t represents a period length; costi,outThe method comprises the steps of representing the electricity purchasing cost of a power company when a transaction type is an outgoing electricity transaction in the output of a unit i; costi,contRepresenting the electricity purchasing cost of the power company when the transaction variety is trans-provincial and trans-regional tie line transaction in the unit i output; pi,t,contIndicating that the unit i trades varieties in the t time period as cross provinceThe output value of cross-regional tie line transaction; pi,t,outThe output value z representing that the trade variety of the unit i in the t time period is the outgoing power tradei,t1 indicates that the unit i is in a start-up state in the t-th time period, zi,tAnd 0 represents that the unit i is in a shutdown state in the t-th time period.
The invention has the beneficial effects that:
according to the invention, through classifying the transaction components of the unit output, the traditional two-dimensional unit output model is expanded into a three-dimensional unit output model, so that transaction component factors are introduced into a unit combination, and a mathematical model of the unit combination considering the outsourced power transmission transaction, the trans-provincial and trans-regional tie line transaction and the safety constraint is established on the basis of the transaction component factors, so that the optimization is carried out by aiming at the minimum electricity purchasing cost of an electric power company in the outsourced power transmission transaction and the trans-provincial and trans-regional tie line transaction, powerful guarantee is provided for the formulation of a transaction plan and an operation plan considering the outsourced power transmission and the trans-provincial and trans-regional tie line transaction, the transaction varieties and rules can be embodied in the modeling of resources in the electric power transaction, the coordinated optimization of the transaction plan and the operation plan of the electric power company is realized, the.
Drawings
FIG. 1 is a two-dimensional model of a conventional unit assembly;
FIG. 2 is a block diagram three-dimensional model that considers transaction components;
FIG. 3 is a schematic flow chart of the model solution;
FIG. 4 is a system network wiring diagram in which: BUS represents a BUS;
FIG. 5 is a graph of the output power of the unit 5 at each instant;
Detailed Description
The invention is further illustrated by the following figures and examples.
First, unit output dimension expansion
How to realize the identification and classification of multiple transaction components is the basis for establishing a unit combination problem considering external power transmission transaction, trans-provincial and trans-regional tie line transaction and safety constraint.
As shown in fig. 1, an original unit combination model considering safety constraints is a two-dimensional model, and unit output in the model is a two-dimensional continuous variable related to time and units. Specifically, each unit has a power output state within a certain set time length; a power output state is provided for each time segment within the study time span for a certain unit.
When a plurality of trading components are introduced, the power sent by each set has the attribute of trading variety. It can be understood that if a unit exerts force P in a certain period of time, then m1％*The trade variety of P power is basic electricity trade, m2％*The trade variety of P power is outgoing power trade, m3％*The trade variety of the P power is trans-provincial and trans-regional tie line trade. Wherein the sum of the percentage of each transaction variety is 1 and is expressed as m1+m2+m3100. Here, the basic electricity refers to electricity except for power transmission transactions, trans-provincial and trans-regional tie line transactions, and special transaction components, which are transactions of direct electricity purchase and power generation right of a large user.
At this time, the unit combination model considering the transaction components and the safety constraint should be converted from a traditional two-dimensional model into a three-dimensional model, and the unit output in the model is a three-dimensional continuous variable related to time, units and transaction components. Specifically, each unit has a power output state within a certain set time length; a certain unit has a power output state in each time period within the research time length; each unit has a trade type attribute in each time period, as shown in fig. 2.
According to the analysis in fig. 2, the output of the unit is P at time t (1), then a part of the power transaction components are outgoing power transaction, a part of the power transaction components are trans-provincial and trans-regional tie line transaction, and a part of the power transaction components are basic power transaction.
In the modeling considering the transaction components, the power needs to be subjected to the dimension expansion processing, and the original two-dimensional model is expanded into a three-dimensional model. This is the basis for a modeling implementation that takes into account multiple transaction components.
The trade variety of the unit output is composed of basic electricity trade, outgoing electricity trade and trans-provincial and trans-regional tie line trade, so the total output of the unit is expressed as:
wherein Tra represents the number of traded varieties; pi,tRepresenting the total output value of the unit i in the t-th time period; pi,t,jAnd (4) expressing the force output value of the jth transaction variety of the unit i in the tth time period.
Second, the method of accounting for outgoing call transactions in the model
The external power transmission transaction mainly refers to the external power transmission transaction of regional-level and power grid-level power companies. Such transactions occur when a utility is low on power or otherwise requires other grid power to be delivered, and typically are spread between nearby utility companies. Outgoing transactions are embodied in both constraints and objective functions of the model. The manner in which outgoing transactions are accounted for in the objective function is described in the fourth section.
The manner in which the outbound power transfer transaction is accounted for in the constraints is as follows:
if the inter-network annual contract trading mode is adopted, the power company determines the electricity price through negotiation according to annual electricity demand prediction and signs an annual inter-network electricity purchasing and selling contract. The unit transaction power constraint participating in the outgoing power transaction is then expressed as:
wherein,a delivery electricity transaction contract electricity amount value indicating the contract time Tout; tout represents the outgoing transaction contract time; iout represents the number of the machine sets participating in the external power transmission transaction; pi,t,outThe output value of the unit i for trading the variety in the t-th time period is represented as the outgoing power trading; Δ t represents the length of the time period.
The unit output constraints that do not participate in the outsourced power trade are expressed as:
wherein inotIndicating a unit that is not involved in the outgoing transaction.
Third, the method for calculating cross-provincial and cross-regional tie line transaction in the model
The electric power trading scale of the power grid tie line reflects the closeness degree of the mutual connection of the power grids from one side. For safety and economic considerations, each partitioned power grid often needs to agree on exchange power on the tie line and trade according to a bilateral electricity quantity contract. In addition, to ensure the power demand of the grid in both normal and accident modes, the power support capacity between the sub-grids should be sufficient. The power grid planning can be realized by optimizing the power trading scale among the subarea power grids, strengthening the construction of the power grid connecting line channel, improving the power transmission and support capacity of the subarea power grids, enabling the planned power grids to operate more flexibly, providing powerful guarantee for power trading and realizing global resource energy consumption in the maximum range.
The cross-province cross-regional connecting line transaction is embodied in the constraint condition and the objective function of the model. The calculation mode of the trans-provincial and trans-regional junctor transaction in the objective function is shown in the fourth part.
The manner in which cross-provincial cross-regional tie transactions are accounted for in constraints is as follows:
for safety and economic considerations, each partitioned power grid often needs to agree on exchange power on the tie line and trade according to a bilateral electricity quantity contract. At this time, the unit transaction electric quantity constraint participating in the trans-provincial and trans-regional tie line transaction is represented as:
wherein,representing a trans-provincial and trans-regional tie line trading contract electric quantity value signed at a contract time Tcont; tcont represents the cross-province cross-district junctor trade contract time; icont represents the number of units participating in cross-province and cross-district tie line transactions; pi,t,contRepresenting that the trade variety of the unit i in the t-th time period is the output value of trans-provincial and trans-regional tie line trade; Δ t represents the length of the time period.
The unit output constraint not participating in cross-province and cross-district tie line transaction is expressed as:
wherein inotRepresenting a crew that does not participate in cross-provincial, cross-regional tie transactions.
Fourth, consider the unit combination model of the trade of the outgoing power supply, trade and safety constraint of the cross-province and cross-district junctor
Objective function
The objective function of the model established by the invention is that the electricity purchasing cost of the power company in the system outgoing power transaction and the trans-provincial and trans-regional connecting line transaction is minimum, and is shown as the following formula:
wherein, F represents the electricity purchasing cost of the power company in the system outgoing power supply transaction and the trans-provincial and trans-regional connecting line transaction; t represents the number of time periods in the study period; i represents the number of units in the system; Δ t represents a period length; costi,outThe electricity purchasing cost of the power company is shown when the transaction type is the outgoing electricity transaction in the ith unit output; costi,contRepresenting the electricity purchasing cost of the power company when the transaction variety is trans-provincial and trans-regional tie line transaction in the ith unit output; pi,t,contRepresenting that the trade variety of the unit i in the t-th time period is the output value of trans-provincial and trans-regional tie line trade; pi,t,outThe output value of the unit i for trading the variety in the t-th time period is represented as the outgoing power trading; z is a radical ofi,tRepresenting the state of the unit i in the t-th time period, zi,t1 indicates on state, zi,t0 means in the shutdown state.
Constraint conditions
1) Upper and lower limit restraint of unit output
In the formula:
Pi,max，Pi,minrepresenting the upper limit and the lower limit of the ith unit technology output; pi,t,jThe force output value of the jth transaction variety of the unit i in the tth time period is represented; tra represents the number of varieties traded.
2) Minimum continuous start-stop time constraint of unit
Ti on≥MUTi
Ti off≥MDTi
In the formula:
Ti on、Ti offrepresenting the time of continuous operation and the time of continuous shutdown of the unit i;
MUTi、MDTirepresenting the minimum running time and the minimum shutdown time of the unit i;
3) power balance constraints for a system
In the formula:
Dtrepresenting the total system load at time t.
4) Transmission capacity constraint of a line
pl,min≤pl≤pl,max
In the formula:
plrepresents the power through line l; p is a radical ofl,min、pl,maxRespectively representing the upper and lower power limits of line i.
5) Spare capacity constraint for a system
In the formula:
Rt,minrepresenting the rotating standby demand minimum of the system for a period t.
In addition to the above 5 constraints, it is also necessary to include a total output constraint of the unit, a transaction power constraint of the unit participating in the outgoing power transaction, a unit output constraint not participating in the outgoing power transaction, a transaction power constraint of the unit participating in the trans-provincial cross-regional tie line transaction, and a unit output constraint not participating in the trans-provincial cross-regional tie line transaction, which are elaborated in the second and third sections.
Fifthly, result obtaining method
And the obtaining of the result is to adopt C + + language to write an optimization program in a VS2008 environment on the basis of establishing a unit combination model considering the outbound transaction, the trans-provincial and trans-regional tie line transaction and the safety constraint, realize the calling of a hybrid integer optimization solver in Cplex through Cplex API, realize the solving calculation of the model and finally obtain the result.
A unit combination model considering outsourced power transaction, cross-provincial and cross-district tie line transaction and safety constraint is an improvement of an economic dispatching model of a power system. The economic dispatching model of the power system is complex, particularly the dynamic economic dispatching model shows the characteristics of high dimension, non-convexity, discreteness and nonlinearity in mathematics, and the solving is difficult, so that the economic dispatching model is one of the difficult problems of research in the academic world. The solving method of academic research comprises an artificial intelligence algorithm such as a heuristic method, a dynamic programming method, a Lagrange relaxation method, a branch and bound method, a genetic algorithm, a particle swarm algorithm, an ant colony algorithm and the like. At present, with the maturity of commercial planning software Cplex, Xpress, Gurobi and the like, the solution of the optimization model is realized based on the commercial optimization software, so that the time for engineering technicians to develop programs can be reduced, more time is put into the establishment of the model and the design of a scheme, and the accuracy and the robustness of the model solution can be improved. Because the dynamic economic dispatching model of the power system is the basis of the unit combination model considering the outgoing power supply transaction, the cross-provincial and cross-regional tie line transaction and the safety constraint, the optimization calculation of the dynamic economic dispatching model is realized on the basis of the commercial planning software Cplex. Cplex is a commercial planning software based on various optimization solvers as a core. It can solve linear programming problems as well as mixed integer programming problems. The method can solve the problems of linear programming, quadratic programming and quadratic constraint types.
And writing an optimization program in a VS2008 environment by adopting a C + + language, calling a hybrid integer optimization solver in Cplex through a Cplex API, and solving the established model. FIG. 3 shows the application flow of the model core optimizer.
Simulation calculation example:
first, it is pointed out that: the model of the invention is improved on the basis of the traditional economic dispatching model of the power system. And using Cplex to solve, and realizing the solution of the trade optimization problem of considering external power transmission and crossing province and crossing district junctor.
The simulation adopts a modified IEEE RTS example, the system has 26 thermal power generating units, the total installed capacity is 3105MW, the annual maximum load is 2550MW, the system appears in winter, 6 hydroelectric generating units in the original example are not considered in the modified example, and the installed capacity of water and electricity is subtracted from the load demand. It is assumed here that Δ t is 1 hour, and the period is 24 hours. The system network wiring diagram is shown in fig. 4, and table 1 shows the parameters of the unit. Table 2 shows the parameters involved in the outgoing power transaction. Table 3 gives the parameters involved in the cross-province cross-regional tie transaction. The timing load is given in table 4. Table 5 gives the outbound predicted timing power. Table 6 gives the predicted timing power across provincial and regional junctors.
Table 1 parameters of the unit in the simulation example
TABLE 2 parameters participating in outgoing power transactions
TABLE 3 parameters for participation in Cross-province, Cross-district, Link transactions
TABLE 4 timing loads
| Time period | Load value (MW) | Time period | Load value (MW) |
| 1 | 1923 | 13 | 2293.5 |
| 2 | 1923 | 14 | 2293.5 |
| 3 | 1923 | 15 | 2293.5 |
| 4 | 1923 | 16 | 2293.5 |
| 5 | 1923 | 17 | 2293.5 |
| 6 | 1923 | 18 | 2293.5 |
| 7 | 1923 | 19 | 2293.5 |
| 8 | 1923 | 20 | 2293.5 |
| 9 | 1923 | 21 | 2293.5 |
| 10 | 1923 | 22 | 2293.5 |
| 11 | 1923 | 23 | 2293.5 |
| 12 | 1923 | 24 | 2293.5 |
TABLE 5 outbound predicted timing Power
TABLE 6 prediction of time series loads across provincial and regional junctor
| Time period | Junctor power value (MW) | Time period | Junctor power value (MW) |
| 1 | 150 | 13 | 90 |
| 2 | 150 | 14 | 90 |
| 3 | 150 | 15 | 90 |
| 4 | 150 | 16 | 90 |
| 5 | 150 | 17 | 90 |
| 6 | 150 | 18 | 90 |
| 7 | 150 | 19 | 90 |
| 8 | 150 | 20 | 90 |
| 9 | 150 | 21 | 90 |
| 10 | 150 | 22 | 90 |
| 11 | 150 | 23 | 90 |
| 12 | 150 | 24 | 90 |
Meanwhile, compared with the traditional model, the model simulation with the minimum running cost and starting cost as the objective function has the following results. Table 7 is a comparison of the results of different objective function models. As can be seen from the figure, the outsourced electricity purchase cost obtained by the model of the invention is less than that of the traditional model, and the electricity purchase cost of the transprovincial and transregional connecting line is less than that of the traditional electricity purchase cost. At this time, the output power of the unit 5 is shown in fig. 5. The output value of the unit 5 at each moment and the transaction type of the output value can be seen from fig. 5.
TABLE 7 comparison of model results for different objective functions
The simulation shows that the simulation example result is feasible, and can well guide a power company to make a unit combination decision considering safety constraints when considering external power transmission and cross-provincial and cross-regional tie line transaction optimization, improve the scientificity and effectiveness of the decision, realize the coordination and optimization of a transaction plan and an operation plan of the power company, contribute to optimizing the power purchase strategy and the power purchase cost of the power company, improve the lean operation level of power transaction business, and achieve the beneficial effects of the invention.
Aiming at the practical problem of the power company, the machine set combination of transaction components and safety constraints, the invention establishes a mathematical model of the machine set combination considering the external power transmission transaction, the cross-provincial and cross-regional tie line transaction and the safety constraints based on the actual requirements of the transaction plan and the operation plan of the power system. In the modeling process, the trade plan and the unit combination decision of the power system are considered comprehensively and coordinately, the electricity purchasing cost optimization of the outgoing power supply trade and the trans-provincial and trans-regional tie line trade is mainly considered in the trade components, and the electric quantity constraint of the outgoing power supply trade and the trans-provincial and trans-regional tie line trade is considered in the model. Meanwhile, in order to realize the identification and classification of multiple transaction components, the traditional two-dimensional unit output model is expanded into a three-dimensional unit output model, so that transaction component factors are introduced into the unit combination.
The mathematical model takes the unit output and the start-stop state variables of the transaction varieties into consideration as decision variables, and overall optimization is realized. The optimized objective function is that the electricity purchasing cost of an electric power company in the system outsourcing electricity transmission transaction and the trans-provincial and trans-regional connecting line transaction is minimum, and the constraint conditions comprise safety constraint of power grid operation, physical constraint of generator operation and electric quantity constraint of the outsourcing electricity transmission transaction and the trans-provincial and trans-regional connecting line transaction. The establishment and the use of the mathematical model can help the electric power company needing to consider the outgoing power supply transaction and the cross-provincial and cross-regional tie line transaction to make an operation plan, improve the scientificity and the effectiveness of a decision, help to optimize the power purchasing strategy and the power purchasing cost of the electric power company and improve the lean operation level of the electric power transaction business.
Claims (5)
1. A set combination obtaining method considering outgoing power supply transaction, trans-provincial and trans-regional tie line transaction and safety constraint is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the steps that firstly, the output dimension of an optimized variable unit is expanded to three dimensions, wherein the first dimension is time, the second dimension is a unit output value, the third dimension is a unit power transaction variety, and the transaction variety comprises an outgoing power transmission transaction, a trans-provincial and trans-regional tie line transaction and a basic power transaction;
secondly, establishing an optimization model, wherein the objective function of the optimization model is that the electricity outgoing transaction and the electricity purchasing expense of the trans-provincial and trans-regional tie line transaction of the system are minimum, and the constraint conditions of the optimization model comprise total unit output constraint, unit transaction electric quantity constraint participating in the electricity outgoing transaction, unit output constraint not participating in the electricity outgoing transaction, unit transaction electric quantity constraint participating in the trans-provincial and trans-regional tie line transaction and unit output constraint not participating in the trans-provincial and trans-regional tie line transaction;
the objective function is represented as:
<mrow> <mi>min</mi> <mi> </mi> <mi>F</mi> <mo>=</mo> <munderover> <mo>&Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <munderover> <mo>&Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>I</mi> </munderover> <mrow> <mo>(</mo> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> <mo>,</mo> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> <mo>*</mo> <mi>&Delta;</mi> <mi>t</mi> <mo>*</mo> <msub> <mi>Cost</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> <mo>+</mo> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> <mo>,</mo> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> </mrow> </msub> <mo>*</mo> <mi>&Delta;</mi> <mi>t</mi> <mo>*</mo> <msub> <mi>Cost</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>*</mo> <msub> <mi>z</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> </mrow>
wherein, F represents the electricity purchasing cost of the power company in the system outgoing power supply transaction and the trans-provincial and trans-regional connecting line transaction; t represents the number of time segments in the study period; i represents the number of units in the system; Δ t represents a period length; costi,outThe method comprises the steps of representing the electricity purchasing cost of a power company when a transaction type is an outgoing electricity transaction in the output of a unit i; costi,contRepresenting the electricity purchasing cost of the power company when the transaction variety is trans-provincial and trans-regional tie line transaction in the unit i output; pi,t,contRepresenting that the trade variety of the unit i in the t time period is the output value of trans-provincial and trans-regional tie line trade; pi,t,outThe output value z representing that the trade variety of the unit i in the t time period is the outgoing power tradei,t1 indicates that the unit i is in a start-up state in the t-th time period, zi,tThe unit i is in a shutdown state in the t time period as 0;
the unit transaction electric quantity constraint participating in the outgoing power supply transaction is represented as:
<mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>I</mi> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </munderover> <munderover> <mo>&Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>T</mi> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </munderover> <mrow> <mo>(</mo> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> <mo>,</mo> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> <mo>*</mo> <mi>&Delta;</mi> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mover> <mi>Q</mi> <mo>&OverBar;</mo> </mover> <mrow> <mi>e</mi> <mo>,</mo> <mi>T</mi> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> </mrow>
wherein,a delivery electricity transaction contract electricity amount value indicating the contract time Tout; tout represents the outgoing transaction contract time; iout represents the number of the machine sets participating in the external power transmission transaction; Δ t represents a period length;
the unit transaction electric quantity constraint participating in the trans-provincial and trans-regional tie line transaction is represented as follows:
<mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>I</mi> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> </mrow> </munderover> <munderover> <mo>&Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>T</mi> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> </mrow> </munderover> <mrow> <mo>(</mo> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> <mo>,</mo> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> </mrow> </msub> <mo>*</mo> <mi>&Delta;</mi> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mover> <mi>Q</mi> <mo>&OverBar;</mo> </mover> <mrow> <mi>c</mi> <mo>,</mo> <mi>T</mi> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> </mrow> </msub> </mrow>
wherein,representing a trans-provincial and trans-regional tie line trading contract electric quantity value signed at a contract time Tcont; tcont represents the cross-province cross-district junctor trade contract time; icont represents the number of units participating in cross-province and cross-district tie line transactions;
and thirdly, solving the optimization model to obtain the output value of each transaction variety of the unit when the electricity purchasing cost is minimum.
2. The method as claimed in claim 1, wherein the method comprises the steps of: the total output constraint of the unit is expressed as:
<mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>T</mi> <mi>r</mi> <mi>a</mi> </mrow> </munderover> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> </mrow>
wherein Tra represents the number of traded varieties; pi,tRepresenting the total output value of the unit i in the t time period; pi,t,jAnd (4) representing the output value of the jth transaction variety of the unit i in the tth time period.
3. The method as claimed in claim 1, wherein the method comprises the steps of: the unit output constraint not participating in the external power transmission transaction is represented as:
<mrow> <msub> <mi>P</mi> <mrow> <msub> <mi>i</mi> <mrow> <mi>n</mi> <mi>o</mi> <mi>t</mi> </mrow> </msub> <mo>,</mo> <mi>t</mi> <mo>,</mo> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> <mo>=</mo> <mn>0</mn> </mrow>
wherein inotIndicating a unit that is not involved in the outgoing transaction.
4. The method as claimed in claim 1, wherein the method comprises the steps of: the unit output constraint not participating in the cross-province and cross-district tie line transaction is represented as:
<mrow> <msub> <mi>P</mi> <mrow> <msub> <mi>i</mi> <mrow> <mi>n</mi> <mi>o</mi> <mi>t</mi> </mrow> </msub> <mo>,</mo> <mi>t</mi> <mo>,</mo> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> </mrow> </msub> <mo>=</mo> <mn>0</mn> </mrow>
wherein inotRepresenting a crew that does not participate in cross-provincial, cross-regional tie transactions.
5. The method as claimed in claim 1, wherein the method comprises the steps of: the constraint conditions of the optimization model further comprise unit output upper and lower limit constraints, unit minimum continuous start-stop time constraints, system power balance constraints, system reserve capacity constraints and line transmission capacity constraints.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2004112868A (en) * | 2002-09-13 | 2004-04-08 | Toshiba Corp | Power control system and electric power control method |
| CN103337039A (en) * | 2013-04-28 | 2013-10-02 | 国家电网公司 | Multi-target multi-constrained medium and long term power purchase decision-making method |
| CN103345712A (en) * | 2013-06-19 | 2013-10-09 | 国家电网公司 | Method for optimizing medium and long term trans-regional trans-provincial deals and assessing modes of medium and long term trans-regional trans-provincial deals |
| CN103617552A (en) * | 2013-11-22 | 2014-03-05 | 冶金自动化研究设计院 | Power generation cost optimization method for iron and steel enterprise |
| CN103633641A (en) * | 2013-11-01 | 2014-03-12 | 西安交通大学 | Medium-term and long-term trading-operation plan-acquiring method considering wind-electricity acceptance |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004112868A (en) * | 2002-09-13 | 2004-04-08 | Toshiba Corp | Power control system and electric power control method |
| CN103337039A (en) * | 2013-04-28 | 2013-10-02 | 国家电网公司 | Multi-target multi-constrained medium and long term power purchase decision-making method |
| CN103345712A (en) * | 2013-06-19 | 2013-10-09 | 国家电网公司 | Method for optimizing medium and long term trans-regional trans-provincial deals and assessing modes of medium and long term trans-regional trans-provincial deals |
| CN103633641A (en) * | 2013-11-01 | 2014-03-12 | 西安交通大学 | Medium-term and long-term trading-operation plan-acquiring method considering wind-electricity acceptance |
| CN103617552A (en) * | 2013-11-22 | 2014-03-05 | 冶金自动化研究设计院 | Power generation cost optimization method for iron and steel enterprise |
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