System for controlling modes of electric energy based systems

FIELD: automatics and computer science, possible use for developing solutions for tasks for controlling modes of expansive electric energy based systems.

SUBSTANCE: in control system consisting of several sub-systems, connected by means of communication with computer machine, and optimization module connected thereto, computer machine is selected as computer machine of upper level, and each subsystem is provided with computing machine of lower level, herein optimization module and block for calculating functional characteristics of current subsystem are realized, while system is also provided with means for upper level communication and means for lower level communication, computing machines of lower level through communication means of upper level are connected to computing machine of upper level and through communication means of lower level are connected to subsystems.

EFFECT: decreased total amount of information transferred while controlling modes of electric energy based systems, increased speed of operations.

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The invention relates to automation and computer engineering and can be used when solving problems of mode control of large electric power systems, which have to meet stringent requirements for performance and reliability.

You know the automation device to the development and operation of industrial installations, in particular for the development, design, implementation, commissioning, maintenance and optimization of the individual installation components or complete systems (RF Patent No. 2213365, the patentee Siemens AG, Germany), which is based on the computing machine create a mathematical-physical model of the process, a neural network model of the system with knowledge base, with decentralized management and optimization process is carried out at the expense of one or more interconnected network of control points with the use of modern means of communication. The device comprises a computing machine, the control points, connected among themselves by means of communication in the form of telephone, network, satellite, or Internet/intranet communications, which are made in the form of remote installation process of the Central control points associated with the management of the industrial installation via remote data transmission.

A disadvantage of the known device is that it solves the problem of control and optimization of certain complete systems, which are systems of low dimension.

Closest to the present invention is a control system for a plant that contains many energy blocks (Patent RF №2138840, the patentee Siemens AG, Germany)containing a computing unit connected therewith through the data line, the optimization module, which is connected with many of neural networks, the computational unit is designed to determine, using a genetic algorithm specifies values for one or another energy power plant unit, each power unit through the data line connected to the corresponding neural network and a computing unit.

The disadvantage of this control system is the lack of performance when solving problems of optimization of technological processes in large industrial systems, as there may be a need to transfer all of the initial information about the characteristics of control objects included in the system, and set the mode settings in the Central control device that contains a computer unit and connected with it the optimization module. Also needed postback results of the decision from the Central device is all the control objects, within this system. Thus, the total amount of transmitted information for a large system with large spatial extent, is very large. Another disadvantage of the known control system is that in the case of solving the problem of optimization for large systems comprising a large number of energy units and represented by the system of equations of high order, the necessary calculations are performed in the optimization module of this control system in sequential mode. When high dimensional tasks and a large number of iterations required to solve the optimization algorithm mode, the amount of computation is cumbersome to solve this task requires a significant amount of time.

The technical problem to be solved by the proposed control system electric power system is to reduce the total amount of information transmitted by the management of the electric power system, and improve performance.

The technical problem is solved by the fact that in the known control system, consisting of a number of subsystems connected in communication with the computing machine, and connected with it by the optimization module, the computing machine is selected as the computing machine top level, and each is th subsystem is equipped with a calculating machine, lower level, which implemented the optimization module and the block of calculation of the functional characteristics of this subsystem, the system is also equipped with means of communication and means of communication of the lower level, calculating machines of the lower level through the means of communication of the upper level is connected with a computing machine top level, and through the connection of the lower level is connected to the subsystem.

In addition, the computer of the upper level, which performs the calculation of the sets of variables of the subsystems, which is the optimal power flows between subsystems.

In addition, the optimization module is made in the form of block internal calculation of the optimal mode of the corresponding subsystems with known optimal values of the boundary variables.

In addition, the block of calculation of the functional characteristics of the subsystem implements the relationship between the boundary variables of the subsystems and the Lagrange multipliers of the subsystems under the conditions of optimality mode subsystems and compliance with internal restrictions in the form of equalities and inequalities.

In addition, communications of the lower level and means of communication of the upper level can be implemented in the form of telephone, network, satellite, or Internet/intranet connection.

Figure 1 presents schematically the structure of the proposed control system d the Imami electric power systems.

Figure 2 presents the algorithm of functioning of a control system of the electric power system.

The proposed control system contains subsystems 1,2...N power system, which is the object of control, and communications of the lower layer 3, the computing machine of the bottom layer 4, which implements the optimization modules 5 internal mode subsystems and blocks 6 calculation of the functional characteristics of subsystems 1,2...N. the Computing machine of the bottom layer 4 through the connection of the lower layer 3 is connected to the subsystems 1,2...N. the Computing machine of the bottom layer 4 through the connection of the upper layer 7 is connected to a calculating machine, the upper level 8.

On the computing machine 8 top level implemented block solving a system of equations that determines the optimal values of boundary variables of the power system.

Each of the computers of the lower layer 4 is within one of the subsystems of the power system. All related to one of the subsystems 1,2...N information needed to solve the problem of calculating the optimal mode of the power system, is transmitted by means of the lower level 3 in a relevant computing machine on the lower level 4. This flow of information is indicated on figure 1 as I1. Related to this is the subsystem information about the results of the calculation of the optimal mode is also transmitted through this means of communication. This flow of information is indicated on figure 1 as S2. Directed from each of the computers of the lower layer 4 through the connection of the upper layer 7 to a computing machine top level 8 information flow contains data about the functional characteristics of each subsystem and marked in figure 1 as IPC. In the opposite direction by the specified means of communication flow of information containing data on the boundary variables of each of the subsystems 1,2...N, which is denoted in figure 1 as the ISM.

When solving the problem of calculating the optimal mode power system device operates as follows. In each of the subsystems 1,2...N input data required to solve the problem, come in the flow of information I1 by means of the lower level 3 in the subsystem of the computing machine lower level 4. Based on these data and a priori data on power flows at the borders of each subsystem in the optimization modules 5 is the calculation of the optimal internal mode of each of the subsystems. Then in blocks 6 calculates the functional characteristics of each of the subsystems, the corresponding calculated in the optimization module 5 internal mode. Data on the functional characteristics of each of the subsystems for communications of the upper layer 7 are received in the threads and the formation, indicated in figure 1 as IPC, in computing upper level 8. Based on the data obtained in this machine is the formation and solution of equations system of communication. The solution of this system of equations define the vector of optimal values of the boundary variables at a given iteration, i.e. power flows between subsystems, corresponding to the parameters of the functional characteristics and the approved allocation of subsystems. Within each subsystem, the subvector of the full vector of values of the boundary variables is transmitted by means of the upper layer 7 in the flow of information, designated in figure 1 as the ISM, and aimed at the computing machine 4 lower level. After that, the optimization modules 5 re-calculates the values of internal variables, which adopted the system of equations subsystem designed to meet the computing machine top level 8 the values of the boundary variables. Then for the calculated values of the internal variables in blocks 6 re-evaluated the functional characteristics of each subsystem and information about them is again transmitted in the information flows, denoted in figure 1 as IPC in computing upper level 8, where re is the formation and solution of equations system of communication. Values of power flows, receiving the data at this stage in the solution of systems of equations of communication, compared with the corresponding values at the previous iteration. If the vectors of power flows differ by a vector value smaller than a given, obtained at the last iteration, the vector is treated as a vector of optimal values of power flows. An appropriate message and the received vector is passed into the flow of information, designated in figure 1 as the ISM in the computing machine lower level 4. In this case, the calculated again in the computing machine lower level 4 the values of internal variables of the subsystems in the best mode transmit communication network, lower level 3 in information flows, denoted in figure 1 as S2, to perform in each subsystem. Failure to meet conditions of optimality in computational host 8 the iterative process continues.

As presented in figure 2, the algorithm of functioning of the proposed control system reflects the following sequence of actions: unit 9 - calculation of internal optimal subsystems, block 10 - calculation of the functional characteristics of subsystems, block 11 - formulation and solution of equations system of communication. The calculations in blocks 9 and 10 are performed in parallel on all computers of the bottom layer 4, and the calculation in block 11 on the computing machine werhner is level 8. Shown in this algorithm the operation of the conditional transition 12 determines the condition for terminating the optimization process mode.

Calculated in blocks of 6 functional characteristics of subsystems represent dependencies between the values of the Lagrange multipliers and derived from power loss and the boundary values of the variables of the subsystems under the conditions of optimality of the internal mode subsystems and compliance with internal restrictions in the form of equalities and inequalities. Generated and solved on a computational machine top level 8, the system of equations has the dimension of the number of boundary variables of the subsystems in the model system and includes the equations that determine the optimality conditions for the boundary variables (O.A.Soukhanov, S.C.Shil. Application of functional modeling to the solution of electrical power systems optimization problems. International Journal of Electrical Power & Energy systems, 2000, No. 2).

As computers top 8 and the bottom 4 levels can be used standard tools in modern computing. Communications of the lower layer 3 and the communication means of the upper layer 7 can be implemented in the form of telephone, network, satellite, or Internet/intranet connection.

In the proposed system in comparison with the centralized control systems significantly reduced the total amount of information that must be transmitted on the I solution to the problem of calculating the optimal regime of a large power system, and repeatedly decreases the time required for its solution. Thus, it greatly increases the speed and overall efficiency of the control system. These benefits are achieved through parallel and distributed organization of information-computational problem-solving process control (the problem of calculating the optimal mode) in the proposed system.

1. Management system electric power system consisting of several subsystems connected in communication with the computing machine, and connected with it by the optimization module, characterized in that the computing machine is selected as the computing machine of the upper level, which performs the calculation of the sets of variables of the subsystems, which is the optimal power flows between subsystems, and each subsystem is equipped with a calculating machine, the lower the level at which implemented the optimization module and the block of calculation of the functional characteristics of this subsystem, the system is also equipped with means of communication and means of communication of the lower level, calculating machines of the lower level through the means of communication top-level connected with computing machine top level, and through the connection of the lower level is connected to the subsystem.

2. The control system according to claim 1, ex is different, however, the optimization module is made in the form of block internal calculation of the optimal mode of the corresponding subsystems with known optimal values of the boundary variables.

3. The control system according to claim 1, characterized in that the block of calculation of the functional characteristics of the subsystem calculates the correlation between the boundary variables of the subsystem and the Lagrange multipliers subsystem under the conditions of optimality mode subsystems and compliance with internal restrictions in the form of equalities and inequalities.

4. The control system according to claim 1, characterized in that the communication means of the lower level and means of communication of the upper level can be implemented in the form of a phone, or a digital network, or satellite, or Internet/intranet connection.



 

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