CN110611335A - Method and device for considering joint scheduling of power system and information system - Google Patents
Method and device for considering joint scheduling of power system and information system Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention provides a method and a device for considering joint scheduling of a power system and an information system, and belongs to the field of resource joint optimization scheduling methods and devices in the field of information energy systems. The device includes: the system comprises a joint scheduling intelligent control module, a joint scheduling intelligent decision module, a power system parameter reading module and an information system parameter reading module. Firstly, establishing a combined scheduling model which is formed by an objective function and constraint conditions and takes the power system and the information system into consideration; and solving the model to respectively obtain the optimal value of the power generation power of each node generator in the power system at each time interval and the optimal value of the information transmission quantity at each time interval on each information transmission channel in the information system, namely the optimal scheme considering the joint scheduling of the power system and the information system. The invention can realize the joint dispatching operation of the power system and the information system, fully exerts the flexibility of the load of the information system through the cooperative operation of the power system and the information system, effectively improves the efficiency and the reliability of the power system, and supports the joint dispatching operation of the power system and the information system.
Description
Technical Field
The invention relates to a method and a device for considering joint scheduling of a power system and an information system, and belongs to the field of information energy systems and the field of resource joint optimization scheduling.
Background
In the power system, the proportion of low-carbon clean novel renewable energy sources (such as wind power, photovoltaic and the like) is increasing continuously. By the end of 2017, the renewable energy power generation and installation machine in China reaches 6.5 hundred million kilowatts, which is increased by 14 percent on year-by-year basis; wherein, wind power installation 1.64 hundred million kilowatts, photovoltaic power installation 1.3 hundred million kilowatts, increase respectively by 10.5% and 68.7% of the same proportion. The access of a high proportion of renewable energy sources will necessarily become an important feature of modern power systems. Due to the strong uncertainty of renewable energy, the reliability and stability of power supply of the power system will be greatly challenged, and thus the power system often needs to reserve a large generator set spare capacity when scheduling a scheduling plan, which will make the efficiency and economy of the power system low.
In an information system, the rapid development of the information-intensive industry has made demands for data storage, data transmission, data processing, and the like increasingly strong, which also makes the information system load that consumes electric energy an important load of an electric power system. Along with the popularization of intelligent terminals, the degree of uncertainty of the load of the information system further increases the difficulty of guaranteeing the reliability of the power system. However, because any one data center in the information system has the capacity of data storage, data transmission and data processing, the load of the information system is different from the load of the power system, is not limited by the geographical position, and can be transferred among different data centers without influencing the load of the information system to be satisfied.
For a long time, an electric power system is regarded as a power source of an information system, the information system is regarded as a load of the electric power system, the electric power system and the information system have independent dispatching systems in respective fields, and the internal interactive conversion relation between information and energy is split, so that the following problems are caused:
1) the flexibility of the information system load cannot be fully exploited. Because the time delay of information transmission is extremely small, and meanwhile, the information system load can be satisfied by any information system node with data storage and data processing functions, the information system load can be randomly transferred in space. However, the conventional information system scheduling method only considers the system, and therefore cannot fully utilize the flexibility of arbitrary spatial load transfer of the information system.
2) The efficiency and reliability of the power system cannot be further improved. Due to the large-scale access of renewable energy sources, the power supply in the power system has great uncertainty, and the power system faces the problems of power supply reliability such as transmission line blockage and node power imbalance. However, the existing power system scheduling method only considers the system and ignores the scheduling of the information system load, so that the efficiency and reliability of the power system cannot be improved by combining the information system load.
Currently, there is no method and apparatus for implementing joint scheduling considering a power system and an information system.
Disclosure of Invention
The invention aims to fill the blank of the prior art and provides a method and a device for considering the joint scheduling of a power system and an information system. The invention can realize the joint dispatching operation of the power system and the information system, fully exerts the flexibility of the load of the information system through the cooperative operation of the power system and the information system, effectively improves the efficiency and the reliability of the power system, and supports the joint dispatching operation of the power system and the information system.
The invention provides a method for considering joint scheduling of a power system and an information system, which is characterized by comprising the following steps of:
1) establishing a joint scheduling model considering an electric power system and an information system, wherein the model consists of an objective function and constraint conditions; the method comprises the following specific steps:
1-1) constructing an objective function of a model, wherein the expression is as follows:
min Ctotal＝Cpower+Cdata
wherein, CtotalIs the total cost of the joint scheduling of the power system and the information system, CpowerIs the total power generation cost of the power system, CdataIs the total transmission cost of information in the information system;
1-2) determining the constraint conditions of the model, specifically as follows:
1-2-1) power system and information system cost constraints:
wherein T is the total number of scheduling time periods; g is the total number of generators; lambda [ alpha ]gIs the unit generation cost of the generator g; p is a radical ofg,tIs the generated power of the generator g in the time period t; l is the total number of information transmission channels; alpha is alphalIs the cost of unit information transmission on the information transmission channel l; m isl,tIs the information transmission quantity of the information transmission channel l in the time period t;
1-2-2) removing the direct current power flow equation constraint after the balance nodes:
wherein the content of the first and second substances,is the net injected power at time t for node i in the power system; thetai,tIs the phase angle amplitude of node i in the power system at time period t; thetaj,tIs the phase angle magnitude of node j in the power system at time period t; x is the number ofijIs the reactance between node i and node j; j e represents all nodes j connected with the node i; j ≠ i represents that the node j and the node i are not the same;
1-2-3) each node power balance constraint:
wherein the content of the first and second substances,represents the set of all generators connected to node i; p is a radical ofk，tRepresenting the consumed power of other loads k except the data center in the time period t;represents a set of all other loads connected to node i; p is a radical ofd,tRepresenting the power consumed by data center d during time period t;representing a set consisting of all data centers connected with the node i;
1-2-4) scheduling balance constraints of the data center on computing tasks:
wherein the content of the first and second substances,is the power consumed by data center d at time period t before scheduling; l belongs to d and represents all information transmission channels l connected with the data center d; b isd,lPower consumption representing the transmission of unit information on a transmission channel l connected to the data center d;
1-2-5) upper and lower limit constraints of the power generation power of the generator:
wherein the content of the first and second substances,andrespectively the minimum generating power and the maximum generating power of the generator g;
1-2-6) upper and lower limits of power consumption of the data center:
wherein the content of the first and second substances,andrespectively, the minimum power consumption power and the maximum power consumption power of the data center d;
1-2-7) information transmission capacity constraints on information transmission channels:
wherein the content of the first and second substances,andrespectively, the minimum information transmission quantity and the maximum information transmission quantity of the information transmission channel l;
2) solving the model established in the step 1) to respectively obtain the generated power p of each node generator in each time periodg,tAnd the information transmission quantity m of each time interval on each information transmission channell,tThe optimal value of (1) is the optimal scheme considering the joint scheduling of the power system and the information system.
The invention has the characteristics and beneficial effects that:
the invention can realize the joint dispatching operation of the power system and the information system, fully exerts the flexibility of the load of the information system through the cooperative operation of the power system and the information system, effectively improves the efficiency and the reliability of the power system, and supports the joint dispatching operation of the power system and the information system.
1. The method has low operation complexity and can be applied to the joint scheduling of a large-scale system;
2. the invention has strong applicability and can be applied to various systems with different topological structures;
3. the invention supports on-line real-time scheduling;
4. the optimization model established by the method is a linear model, and the optimality of the operation strategy can be guaranteed.
Drawings
Fig. 1 is an overall flowchart of a method for considering joint scheduling of a power system and an information system according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of an apparatus for considering joint scheduling of a power system and an information system according to an embodiment of the present invention.
Detailed Description
The present invention provides a method and an apparatus for considering joint scheduling of a power system and an information system, and the following describes the present invention in detail with reference to the accompanying drawings and specific embodiments.
The invention provides a method considering joint scheduling of a power system and an information system, the overall flow is shown in figure 1, and the method comprises the following steps:
1) establishing a joint scheduling model considering an electric power system and an information system, wherein the model consists of an objective function and constraint conditions; the method comprises the following specific steps:
1-1) constructing an objective function of a model, wherein the expression is as follows:
min Ctotal＝Cpower+Cdata
the meaning of the objective function is that the total cost of the joint scheduling of the power system and the information system is minimized, namely the sum of the total power generation cost of the power system and the total transmission cost of the information in the information system is minimized. Wherein, CtotalIs the total cost of the joint scheduling of the power system and the information system; cpowerIs the total power generation cost of the power system; cdataIs the total transmission cost of information in the information system.
1-2) determining the constraint conditions of the model, specifically as follows:
1-2-1) power system and information system cost constraints:
the above equation shows that the total generation cost of the power system is the sum of the generation costs of all generators in all scheduling periods; the total transmission cost of information in the information system is the sum of the information transmission costs of all information transmission channels in all scheduling periods. Wherein T is the total number of scheduling time periods; g is the total number of generators; lambda [ alpha ]gThe unit generating cost of the generator g is a fixed value; p is a radical ofg,tThe generated power of the generator g in the time period t is taken as a decision variable; l is the total number of information transmission channels; alpha is alphalThe unit information transmission cost on the information transmission channel l is a fixed value; m isl,tIs the information transmission quantity of the information transmission channel l in the time period t;
1-2-2) removing the direct current power flow equation constraint after the balance nodes:
wherein the content of the first and second substances,is the net injected power at time t for node i in the power system; thetai,tIs the phase angle amplitude of node i in the power system at time period t; thetaj,tIs the phase angle magnitude of node j in the power system at time period t; x is the number ofijIs the reactance between node i and node j; j e represents all nodes j connected with the node i; j ≠ i represents that the node j and the node i are not the same node.
1-2-3) each node power balance constraint:
wherein the content of the first and second substances,represents the set of all generators connected to node i; p is a radical ofk,tRepresenting the consumed power of other loads k except the data center in the time period t;represents a set of all other loads connected to node i; p is a radical ofd,tRepresenting the power consumed by data center d during time period t;representing the set of all data centers connected to node i.
1-2-4) scheduling balance constraints of the data center on computing tasks:
wherein the content of the first and second substances,is the power consumed by data center d at time period t before scheduling; l belongs to d and represents all information transmission channels l connected with the data center d; b isd,lRepresenting the power consumed for transmitting the unit information on the transmission channel l connected to the data center d.
1-2-5) upper and lower limit constraints of the power generation power of the generator:
wherein the content of the first and second substances,andrespectively, the minimum generated power and the maximum generated power of the generator g.
1-2-6) upper and lower limits of power consumption of the data center:
wherein the content of the first and second substances,andrespectively, a minimum power consumption and a maximum power consumption of the data center d.
1-2-7) information transmission capacity constraints on information transmission channels:
wherein the content of the first and second substances,andrespectively the minimum information transmission amount and the maximum information transmission amount of the information transmission channel l.
2) Reading x in power systemij，pk,t，λgG and T, B in read information systemsd,l，αlAnd L, using the parameters as boundary conditions of the model.
Solving the model established in the step 1) by adopting Cplex software to respectively obtain the generated power p of each node generator in each time periodg,tAnd the information transmission quantity m of each time interval on each information transmission channell,tThe optimal value of (1) is the optimal scheme considering the joint scheduling of the power system and the information system.
P obtained by solving in the step 2)g,tThe optimal value is used as a scheduling strategy of each generator set in each time period and is transmitted to the power system, and m is transmitted to the power systeml,tThe optimal value of (2) is used as each information transmission channelAnd transmitting the scheduling strategy of each time period to the information system, and realizing the combined scheduling considering the power system and the information system.
The invention provides a device considering joint scheduling of a power system and an information system based on the method, which has a structure shown in fig. 2 and comprises the following steps: the system comprises a joint scheduling intelligent control module, a joint scheduling intelligent decision module, a power system parameter reading module and an information system parameter reading module. The input end of the electric power system parameter reading module is connected with the output end of a measuring device in the electric power system, and the input end of the information system parameter reading module is connected with the output end of an information management system in the information system; the output end of the power system parameter reading module and the output end of the information system parameter reading module are respectively connected with the input end of the joint scheduling intelligent decision module; the output end of the joint scheduling intelligent decision module is connected with the input end of the joint scheduling intelligent control module; the output end of the combined dispatching intelligent control module is respectively connected with a generator controller in the power system and a data center controller in the information system. The system comprises an electric power system parameter reading module, an information system parameter reading module, a joint scheduling intelligent decision module and a joint scheduling intelligent control module, wherein the electric power system parameter reading module is used for reading parameter information of an electric power system and sending the parameter information to the joint scheduling intelligent decision module; the joint scheduling intelligent control module is used for sending the received optimal value of the power generation power of each node generator in each time period to each corresponding generator in the power system, and sending the optimal value of the information transmission quantity in each time period on each information transmission channel to each corresponding transmission channel in the information system.
The power system parameter reading module is used for reading parameter information of the power system. The module is connected with measuring devices such as a Supervisory Control And Data Acquisition (SCADA) system, a Phasor measuring device (PMU) And the like in the power system, And can read network topology information of the power system, power generation cost And installed capacity information of all generator sets And power utilization curve information of all power loads. And after the information is read, the module transmits the parameter information of the power system to the joint scheduling intelligent decision-making module.
The information system parameter reading module is used for reading the parameter information of the information system. The module is connected with an information management system in an information system, and can read the maximum transmission capacity and transmission cost of all information transmission channels, the connection relation between data centers and the load of calculation tasks. After the information is read, the module transmits the parameter information of the information system to the joint scheduling intelligent decision-making module.
And the joint scheduling intelligent decision module is used for solving a joint scheduling optimal scheme of the power system and the information system. The module takes parameters read by the power system parameter reading device and the information system parameter reading device as boundary conditions of a power system and information system combined scheduling model, solves the combined scheduling model by using Cplex software, obtains a power generation plan of each generator in the power system and an information transmission plan of each transmission channel in the information system, and takes the power generation plans and the information transmission plans as optimal plans of the power system and the information system combined scheduling. And after the solution is completed, the module transmits the joint scheduling optimal plan to the joint scheduling intelligent control module.
And the joint scheduling intelligent control module is used for controlling each generator set in the power system and each transmission channel in the information system. The module controls the power generation plan of each generator set in the power system and the information transmission plan of each transmission channel in the information system to be implemented by the combined dispatching optimal plan by receiving the combined dispatching optimal plan transmitted by the combined dispatching intelligent decision module, so that the power system and the information system operate in a combined mode in an optimal mode.
Claims (2)
1. A method for considering joint scheduling of a power system and an information system, comprising the steps of:
1) establishing a joint scheduling model considering an electric power system and an information system, wherein the model consists of an objective function and constraint conditions; the method comprises the following specific steps:
1-1) constructing an objective function of a model, wherein the expression is as follows:
min Ctotal＝Cpower+Cdata
wherein, CtotalIs the total cost of the joint scheduling of the power system and the information system, CpowerIs the total power generation cost of the power system, CdataIs the total transmission cost of information in the information system;
1-2) determining the constraint conditions of the model, specifically as follows:
1-2-1) power system and information system cost constraints:
wherein T is the total number of scheduling time periods; g is the total number of generators; lambda [ alpha ]gIs the unit generation cost of the generator g; p is a radical ofg,tIs the generated power of the generator g in the time period t; l is the total number of information transmission channels; alpha is alphalIs the cost of unit information transmission on the information transmission channel l; m isl,tIs the information transmission quantity of the information transmission channel l in the time period t;
1-2-2) removing the direct current power flow equation constraint after the balance nodes:
wherein the content of the first and second substances,is node i in time in the power systemNet injected power for segment t; thetai,tIs the phase angle amplitude of node i in the power system at time period t; thetaj,tIs the phase angle magnitude of node j in the power system at time period t; x is the number ofijIs the reactance between node i and node j; j e represents all nodes j connected with the node i; j ≠ i represents that the node j and the node i are not the same;
1-2-3) each node power balance constraint:
wherein the content of the first and second substances,represents the set of all generators connected to node i; p is a radical ofk,tRepresenting the consumed power of other loads k except the data center in the time period t;represents a set of all other loads connected to node i; p is a radical ofd,tRepresenting the power consumed by data center d during time period t;representing a set consisting of all data centers connected with the node i;
1-2-4) scheduling balance constraints of the data center on computing tasks:
wherein the content of the first and second substances,is the power consumed by data center d at time period t before scheduling; l belongs to d and represents all information transmission channels l connected with the data center d; b isd,lPower consumption representing the transmission of unit information on a transmission channel l connected to the data center d;
1-2-5) upper and lower limit constraints of the power generation power of the generator:
wherein the content of the first and second substances,andrespectively the minimum generating power and the maximum generating power of the generator g;
1-2-6) upper and lower limits of power consumption of the data center:
wherein the content of the first and second substances,andrespectively, the minimum power consumption power and the maximum power consumption power of the data center d;
1-2-7) information transmission capacity constraints on information transmission channels:
wherein the content of the first and second substances,andrespectively, the minimum information transmission quantity and the maximum information transmission quantity of the information transmission channel l;
2) solving the model established in the step 1), respectivelyObtaining the generated power p of each node generator in each time periodg,tAnd the information transmission quantity m of each time interval on each information transmission channell,tThe optimal value of (1) is the optimal scheme considering the joint scheduling of the power system and the information system.
2. An apparatus considering joint scheduling of a power system and an information system based on the method of claim 1, comprising: the system comprises a joint scheduling intelligent control module, a joint scheduling intelligent decision module, an electric power system parameter reading module and an information system parameter reading module; the output end of the power system parameter reading module and the output end of the information system parameter reading module are respectively connected with the input end of the joint scheduling intelligent decision module; the output end of the joint scheduling intelligent decision module is connected with the input end of the joint scheduling intelligent control module; the power system parameter reading module is used for reading parameter information of a power system and sending the parameter information to the joint scheduling intelligent decision module, the information system parameter reading module is used for reading parameter information of the information system and sending the parameter information to the joint scheduling intelligent decision module, the joint scheduling intelligent decision module is used for obtaining an optimal value of power generation power of each node generator in the power system at each time interval and an optimal value of information transmission quantity at each time interval on each information transmission channel in the information system according to the received parameter information of the power system and the information system by establishing a joint scheduling model considering the power system and the information system and solving the model, and sending the optimal values to the joint scheduling intelligent control module; the joint scheduling intelligent control module is used for sending the received optimal value of the power generation power of each node generator in each time period to each corresponding generator in the power system, and sending the optimal value of the information transmission quantity in each time period on each information transmission channel to each corresponding transmission channel in the information system.
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