CN103199521B - Power network planning construction method based on network reconstruction and optimized load-flow simulating calculation - Google Patents
Power network planning construction method based on network reconstruction and optimized load-flow simulating calculation Download PDFInfo
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Abstract
The invention relates to a power network planning construction method based on network reconstruction and optimized load-flow simulating calculation. The power network planning construction method based on the network reconstruction and the optimized load-flow simulating calculation comprises the steps that load-flow of a power system is calculated by a digital simulation module in a power network simulation platform, constraint of a future power network is set by an operator, interface service calls used for power network planning are increased, a network reconstruction subsystem obtains power network data, rules followed by the network reconstruction subsystem in calculation are determined, calculation constraint is determined, the network reconstruction subsystem acquires an optimal solution, artificial interfering correction is conducted to a network reconstruction result, the result is written into the power network simulation platform, an optimized load-flow subsystem obtains power network data, constraint is determined before the calculation of the optimized loading-flow subsystem, optimized load-flow calculation is developed, the result is exported and sent to the power network simulation platform, artificial interfering correction is conducted to the exported result, and the result after the artificial interfering correction is stored in the power network simulation platform. The power network planning construction method based on the network reconstruction and the optimized load-flow simulating calculation largely improves the working efficiency of power network planning and the efficiency of a power network operation mode, and thus a power network planning working process which is convenient and high in efficiency is created.
Description
Technical field
The invention belongs to and belong to electric power system calculating and simulation technical field, especially a kind of reconstruct Network Based and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning.
Background technology
Electric Power Network Planning claims again transmission system planning, take load prediction and power source planning as basis.Transmission line and the feeder number thereof of which kind of type determined, where invested to build to Electric Power Network Planning when, to reach needed ability to transmit electricity in planning horizon, meeting the expense minimum that makes transmission system under the prerequisite of all technical.
Electric Power Network Planning, according to chronological classification, can be divided into short-term planning, medium term planning and planning for a long time.Short-term planning is divided into 1-5, and the content of planning is more specific carefully, can directly be used for instructing and build.General electrical network planning in 5 years and the time synchronized of national economy planning in 5 years.As, Eleventh-Five Year Plan, 12 planning etc.Medium term planning is generally 5-10.Long-term planning needs to consider the development longer than the project of transmitting and converting electricity construction period, common planning 6-30.Long-term Electric Power Network Planning need to be enumerated various possible excessive dislikes, estimate the impact of various uncertain factors etc.The scheme of long-term planning might not intact enforcement in construction.Due to the change of objective condition or environment, programme also will constantly change.
Network reconfiguration is on the basis of existing electrical power trans mission/distribution system, to select on-road efficiency optimum, and meets the operational mode of various operation constraints and safety requirements.Electrical power trans mission/distribution system planning and reconstruction all belong to the combinatorial optimization problem of the difficult class of NP, and their method for solving has similitude, substantially can be divided into following a few class:
(1) heuristic: heuristic, based on intuitive analysis, has feature directly perceived, flexible, that facilitate planning personnel to participate in.But, from the angle of mathematics, see that these class methods lack the optimality strict mathematical meaning.Method based on expert system has been collected a large amount of expertises even can apish inferential capability, but its essence is the combination of heuristic and other optimisation technique.
(2) first traditional Mathematics Optimization Method is that planning and reconstruction are set up Mathematical Modeling, such as: linear programming model, Nonlinear programming Model, integer programming model, mixed-integer programming model and network flow (or transportation) model etc.Then, by classical mathematical optimization technology, these models are solved, for example, adopt simplex method, dynamic programming, branch and bound method, network flow law of planning and Benders decomposition method.Although these methods see to have stricter optimality from the angle of mathematics.But except the algorithm based on linear programming model, these Mathematics Optimization Methods are all subject to the puzzlement of computational complexity problem, face " dimension calamity ".
(3) research of the optimization method based on randomized technique is in active developing stage with application.These class methods comprise genetic algorithm, simulated annealing, Tabu search and the methods such as artificial neural network method that combine with randomized technique.Compare with said method, the genetic algorithm based on randomized technique has been done best trading off in computational speed and global optimizing ability.Yet the application of genetic algorithm at present also exists the local accurately shortcoming of optimizing ability.
Optimal Power Flow be a kind of can comprehensive safety and economy or some order calibration method.In Optimal Power Flow Mathematical Modeling, comprise the target function that represents economy or other targets, meet equality constraint and restriction control variables and the allowed band of state variable or the inequality constraints of time requirement that basic trend requires.Due to the flexibility in target function form and constraint processing, Optimal Power Flow method has more than and is limited to power system security economical operation.It all can be applied at aspects such as security control, systems organizations.Therefore, the application of this method in electric power system, has broad prospects.The target function of Optimal Power Flow has varied, except the minimum operation total cost of applying morely, minimum network loss, minimum load rejection, keep in addition operation voltage level the highest, the variation of minimum controlled quentity controlled variable, minimum fuel is stocked, the maximum target function that waits of Tie line Power.It is to be noted that the trend distribution that different target function obtains is not identical.
The processing method of Optimal Power Flow plurality of target is that current Economic Dispatch method cannot be accomplished.The simple representation of target function is f-f (u, x), and in formula, " u is control variables vector, and x is state variable vector.The constraint of Optimal Power Flow is processed substantially must meet two kinds of constraintss: equality constraint, and its condition is to guarantee that variable meets power flow equation formula, when load thinks that, to timing, the representation of simplifying is g (u, x)=O; Do not wait constraint: its condition is that control variables and state variable must meet the restriction by the defined allowed band of safety condition and control variables value.
Grid simulation platform, to utilize modern computer technology, electric power system is carried out to digitlization, by setting up the Mathematical Modeling of the various elements of electric power system, simulate on computers the operation of electric power system, and the variation under various operating modes, thereby reach the object of studying and controlling electric power system.
Grid simulation platform has good man-machine system, can realize picture library mould integrated, user both can study for analogue system by the man-machine interface identical with real-time monitored picture, also can increase new element by graphical interfaces, when forming figure, the model of database and respective element is also set up thereupon.
Grid simulation platform is connected in real time with real-time monitoring system, can obtain up-to-date operation of power networks data, make dispatching of power netwoks operations staff to carry out multi-angular analysis calculating to current operation electrical network, find in time the hidden danger existing, take preventive measures in advance, accomplish to prevent trouble before it happens, thereby improved the control ability for operation of power networks.
In grid simulation platform, there are various electric network models, never Tongfang is studied in the face of electrical network.Can utilize electric network tide model to carry out trend calculating, also available electrical network electromechanical transient model carries out analysis of transient process, can also carry out with electric network electromagnet transient model the analysis of electromagnetic transient.
The grid simulation platform using at present, its functional block diagram as shown in Figure 2.Respectively the composition of each module and operation principle are described below.
Grid simulation platform is a simulation run-time infrastructure that comprises the functional modules such as Simulation Application management, emulation component management, declaration management, time management, data distribution management, virtual unit agency.Relation between grid simulation platform and Simulation Application software as shown in Figure 2.Wherein, high speed real time communication flexible bus adopts shared drive mode to communicate by letter, and communication flexible bus Adoption Network mode is communicated by letter.
Simply introduce the foundation structure (RTI) of grid simulation platform below.As shown in Figure 3, the high speed real time communication flexible bus of time coordination function developed, has by this grid simulation platform with reference to international modeling and simulation standard IEEE 1516 series standards, having realized the functions such as Simulation Application management, simulation object management, declaration management, time management, data distribution management, virtual unit agency, is the basis of this Electric Power Network Planning system.It supports the interactive operation between each Simulation Application as the run time infrastructure of distributed emulation, is the tie of contact Training Simulation System each several part, is the core of distributed Training Simulation System.It provides location transparency, efficient virtual operation environment for each Simulation Application software.
Emulation real time execution foundation structure is comprised of interface layer, functional module layer and data interaction interface layer, and wherein application-interface layer is realized the function interface of interface specification definition, for application program provides normalized canonical function interface; Logical process layer is the realization to the support of application-interface layer and internal control function; Data exchange interface layer is the encapsulation to bottom communication, realizes high speed real time communication and the network service based on TCP/IP based on shared drive.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, provide a kind of reconstruct Network Based and Optimal Power Flow simulation calculation to build the method for Electric Power Network Planning.
The present invention solves its technical problem and takes following technical scheme to realize:
A kind of reconstruct Network Based and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning, the method is on the basis of grid simulation platform, newly-increased network reconfiguration subsystem and tide optimization subsystem, network reconfiguration subsystem all adopts the network communication mode of TCP/IP to be connected with grid simulation platform respectively with tide optimization subsystem, and the method step is as follows:
(1) start system: the Digital Simulation module in grid simulation platform calculates electric power system tide, and be stored in the database of grid simulation platform;
(2) by operator, by man-machine interface, operated, the plan constraint for following electrical network is set in network reconfiguration subsystem;
(3) on the RTI of grid simulation platform interface, increase for the interface service of Electric Power Network Planning and call;
(4) start network reconfiguration subsystem, network reconfiguration subsystem obtains electric network data by the interface of grid simulation platform;
(5) determine the regulation that network reconfiguration subsystem is followed in calculating;
(6) take loss minimization when target function calculates, determine constraint;
(7) network reconfiguration subsystem obtains optimal solution;
(8) operator carries out human intervention correction to described network reconfiguration result;
(9), after the result satisfaction that operator proofreaies and correct for human intervention, result is write in grid simulation platform;
(10) start Optimal Power Flow subsystem, Optimal Power Flow subsystem obtains electric network data by the interface of grid simulation platform;
(11) before calculating, Optimal Power Flow subsystem determines constraint;
(12) in Optimal Power Flow subsystem, with interior point method, launching Optimal Power Flow calculates;
(13) Optimal Power Flow subsystem is derived result after calculating, and result is sent to grid simulation platform;
(14) by operating personnel, to sending to the derivation result of grid simulation platform, carry out manual intervention correction;
(15) after the result satisfaction of operating personnel for human intervention post-equalization, deposited in the database of grid simulation platform, and filed in order to consulting.
And the plan constraint of described step in is (2) as follows:
1. load distributes and each load Maximum Constraint;
2. the total capacity of generating electricity constraint;
3. invest circuit and number transformer constraint;
4. total investment expenses constraint.
And described step calling (3) comprises:
1. obtain and return plant stand title;
2. obtain and return line/transformer parameter;
3. obtain and Returning switch state;
4. obtain and return the meritorious and idle of generator and compensator;
5. obtain and return transformer gear;
6. obtain and return the switching state of capacity reactance device;
7. obtain and return the electric capacity/reactance value of static reactive power compensator;
8. obtain and return series compensator electric capacity/reactance value;
9. obtain and return STATCOM electric capacity/reactance value.
And (4) described step obtains electric network data and comprises:
1. electrical network basic data;
2. initial trend section;
3. load distributes and each load Maximum Constraint;
4. the total capacity of generating electricity constraint;
5. invest circuit and number transformer constraint;
6. total investment expenses constraint.
And the regulation that described step is followed in (5) comprises:
1. use shortest path first, it can realize global optimum effectively;
2. only for dead electricity load is found supply path;
3. optimisation technique is combined with heuristic rule;
4. by influenced group, be considered as a load, all switches of getting in touch with other group, as the candidate's switch restoring electricity, are identified all possible switch or power distribution network; First consider remote control switch, and only use remote control switch seeking solution, if use separately remote control switch can not restore electricity or alleviate overload completely, just need to consider all switches;
5. affected dead electricity load is sorted by priority, low-level load can disconnect; The switch of guaranteeing first to close, then open a switch, the switch that the next one will close should produce minimum circulation;
6. gained scheme is through the inspection of overprotection checking routine.
And the constraint of described step in (6) comprises:
1. Kirchhoff's current law (KCL) and Kirchhoff's second law;
2. the radiation of power distribution network and the voltage-drop of power distribution network;
3. element reserve capacity;
4. recover maximum possible load;
5. minimum power loss;
6. minimum grid switching operation;
7. first remote control switch should be considered;
8. the order of grid switching operation;
9. the consideration of protection;
10. with the coordinating of other distribution automatic functions.
And the described step (7) middle optimal solution that obtains comprises:
1. select rational power plant;
2. substation capacity and position;
3. circuit model and route;
4. main operational mode.
And the described step (10) middle electric network data that obtains comprises:
1. electrical network basic data;
2. node voltage bound;
3. series compensator capacity;
4. STATCOM capacity;
5. static reactive power compensator capacity.
And the constraint of described step in (11) comprises:
1. the maximum size of circuit and transformer;
2. the bound of transformer gear;
3. generator and compensator has an idle bound of exerting oneself;
4. the bound of node voltage;
5. reactive-load compensation equipment, series compensator, STATCOM and static reactive power compensator bound.
And the derivation result of described step in (13) comprises:
1. determine the optimum position of transformer gear;
2. determine the idle injecting data of the best of generator, compensator, static reactive power compensator and STATCOM;
3. determine the optimum data of whole serial compensation capacitances;
4. determine the switching state of whole capacity reactance devices.
Advantage of the present invention and good effect are:
1, network reconfiguration system of the present invention and Optimal Power Flow system, by interface separately, be connected with grid simulation platform, newly-increased component models in network struction is read in by network reconfiguration system and Optimal Power Flow system by interface from the database of grid simulation platform, when network reconfiguration system and tide optimization system complete calculating, result of calculation imports in grid simulation platform automatically, this result of calculation is the required operational mode of Electric Power Network Planning, can in grid simulation platform, move this operational mode, and by electric grid operating, check the behavior of this operational mode, check it whether to meet various constraints, with other expectation targets to this Electric Power Network Planning.
2, the present invention calculates on basis and utilizes network reconfiguration and Optimal Power Flow simulation calculation to build the method for power network planning scheme in trend, there is system interface, database maintenance amount is little, obtain easily the real time data after electrical network real time data and state estimation process, and in conjunction with recent or medium-term and long-term plant stand equipment Electric Power Network Planning, real-time section is combined with research state network reconfiguration, thereby analysis load shifts and the association impact of network reconfiguration on each electric pressure network loss quickly and accurately, thereby realize the economical rationality planning of rack.
3, can meet Electric Power Network Planning personnel for the need of work of Electric Power Network Planning, power system operating mode comprehensively, give full play to the computing capability that electronic computer improves constantly, increase substantially related personnel's work quality and operating efficiency, created convenience, comfortable, directly perceived, the efficient Electric Power Network Planning course of work.
Accompanying drawing explanation
Fig. 1 is related to schematic diagram between each subsystem in the inventive method;
Fig. 2 is the high-level schematic functional block diagram between network reconfiguration subsystem, Optimal Power Flow subsystem and grid simulation platform;
Fig. 3 simulation run time management system (RTI) effect schematic diagram.
Embodiment
Below in conjunction with accompanying drawing, the embodiment of the present invention is further described:
It is emphasized that; embodiment of the present invention is illustrative; rather than determinate; therefore the present invention is not limited to the embodiment described in embodiment; every other execution modes that drawn by those skilled in the art's technical scheme according to the present invention, belong to the scope of protection of the invention equally.
A kind of reconstruct Network Based and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning, as shown in Figure 1, the method is on the basis of grid simulation platform, newly-increased network reconfiguration subsystem and tide optimization subsystem, network reconfiguration subsystem all adopts the network communication mode of TCP/IP to be connected with grid simulation platform respectively with tide optimization subsystem, make grid simulation platform have Electric Power Network Planning function, the step of the inventive method is as follows:
(1) start system:
As shown in Figure 2, first by Digital Simulation module, calculate electric power system tide, and be stored in the database of grid simulation platform.
(2) by operator, by man-machine interface, operated, the plan constraint for following electrical network is set in network reconfiguration subsystem, plan constraint is as follows:
1. load distributes and each load Maximum Constraint;
2. the total capacity of generating electricity constraint;
3. invest circuit and number transformer constraint;
4. total investment expenses constraint.
(3) on the RTI of grid simulation platform interface, increase for the interface service of Electric Power Network Planning and call, call comprise as follows:
1. obtain and return plant stand title;
2. obtain and return line/transformer parameter;
3. obtain and Returning switch state;
4. obtain and return the meritorious and idle of generator and compensator;
5. obtain and return transformer gear;
6. obtain and return the switching state of capacity reactance device;
7. obtain and return electric capacity/reactance value of static reactive power compensator (SVC);
8. obtain and return series compensator (TCSC) electric capacity/reactance value;
9. obtain and return STATCOM (STATCOM) electric capacity/reactance value.
(4) start network reconfiguration subsystem, network reconfiguration subsystem obtains electric network data by the interface of grid simulation platform, and data specifically comprise:
1. electrical network basic data, comprising:
● track data: line impedance, circuit first and last end node number;
● transformer data: current no-load voltage ratio, transformer capacity, the highest lowest gear, every grade of no-load voltage ratio regulated quantity, winding impedance, high, normal, basic press bond node number;
● switch tool data: first and last end topology position;
● capacity reactance data: connecting joint period, capacity, impedance;
● serial compensation capacitance data: first and last end topology position, current impedance, adjustable upper and lower bound value;
● generator data: currently meritorious idlely exert oneself, bound, connecting joint period;
● load data: connecting joint period, meritorious idle value;
2. initial trend section;
3. load distributes and each load Maximum Constraint;
4. the total capacity of generating electricity constraint;
5. invest circuit and number transformer constraint;
6. total investment expenses constraint.
(5) determine the regulation that network reconfiguration subsystem is followed in calculating, provide as follows:
1. use shortest path first, it can realize global optimum effectively;
2. only for dead electricity load is found supply path;
3. optimisation technique is combined with heuristic rule;
4. by influenced group, be considered as a load, all switches of getting in touch with other group, as the candidate's switch restoring electricity, are identified all possible switch or power distribution network; First consider remote control switch, and only use remote control switch seeking solution, if use separately remote control switch can not restore electricity or alleviate overload completely, just need to consider all switches;
5. affected dead electricity load is sorted by priority, low-level load can disconnect.In addition, if the feasible path not restoring electricity can recover after power supply can only be repaired fault element by the time; First at the circuit pack away from transformer station, alleviate overload, the overload that alleviates this part circuit can alleviate some or all circuit overloads that approach transformer station automatically; If contiguous power distribution network can not restore electricity or alleviate overload, can attempt load to pour into secondary power distribution network (in a wider context transfer load), to increase the capacity of contiguous distribution network restoration power supply.If can not find feasible solution, just should cut-off inevitably loading and reduce to minimum, to guarantee the switch that first closes, then open a switch, to guarantee the continued power in grid switching operation.The next switch that will close should produce minimum possible circulation;
6. gained scheme should be through the inspection of overprotection checking routine.
(6) take loss minimization when target function calculates, using following content as constraint:
1. Kirchhoff's current law (KCL) and Kirchhoff's second law;
2. the radiation of power distribution network and the voltage-drop of power distribution network;
3. element reserve capacity;
4. recover maximum possible load (will inevitably load runs off reduces to minimum);
5. minimum power loss;
6. minimum grid switching operation;
7. first remote control switch should be considered;
8. the order of grid switching operation;
9. the consideration of protection;
10. with the coordinating of other distribution automatic functions.
(7) network reconfiguration subsystem is meeting above-mentioned steps constraint (2), (6), under follow procedures regulation prerequisite (5), obtains optimal solution, and optimal solution comprises:
1. select rational power plant;
2. substation capacity and position;
3. circuit model and route;
4. main operational mode.
(8) operator carries out human intervention to described network reconfiguration result, and particular content comprises:
1. according to local power grid operating standard, check one by one, if there is violation, need to proofread and correct;
While 2. having different implementation methods for same result, adopt usual operational mode.
(9) after the result satisfaction of operator for human intervention, result is write in grid simulation platform.
(10) start Optimal Power Flow subsystem.
Optimal Power Flow subsystem obtains electric network data by the interface of grid simulation platform, and data comprise as follows:
1. electrical network basic data, comprising:
● track data: line impedance, circuit first and last end node number;
● transformer data: current no-load voltage ratio, transformer capacity, the highest lowest gear, every grade of no-load voltage ratio regulated quantity, winding impedance, high, normal, basic press bond node number;
● switch tool data: first and last end topology position;
● capacity reactance data: connecting joint period, capacity, impedance, can switching group number;
● serial compensation capacitance data: first and last end topology position, current impedance, adjustable upper and lower bound value;
● generator data: currently meritorious idlely exert oneself, bound, connecting joint period;
● load data: connecting joint period, meritorious idle value;
2. node voltage bound;
3. series compensator (TCSC) capacity;
4. STATCOM (STATCOM) capacity;
5. static reactive power compensator (SVC) capacity.
(11) when Optimal Power Flow subsystem calculates, follow following constraint:
1. the maximum size of circuit and transformer;
2. the bound of transformer gear;
3. generator and compensator has an idle bound of exerting oneself;
4. the bound of node voltage;
5. reactive-load compensation equipment, TCSC, STATCOM and SVC bound.
(12) in Optimal Power Flow subsystem, launch Optimal Power Flow and calculate, the interior point method job step that Optimal Power Flow calculates is as follows:
1. input parameter: node admittance battle array, transformer branch road information, inequality constraints upper lower limit value, the coefficient in target function (A, B, C);
2. initialization, selects slack variable s
u, s
l>=0, inequality constraints multiplier z>0, w<0, equality constraint multiplier y ≠ 0, arranges optimization convergence precision, trend convergence precision, maximum iteration time etc.
3. calculate complementary gap,
If complementary gap is less than optimization convergence precision and trend deviation is less than trend convergence precision, export optimal solution, algorithm finishes.
4. barrier parameter:
5. solve: Δ x, Δ y, Δ S
l, Δ S
u, Δ z, Δ w
6. calculate maximum modified step-length:
7. revise variable:
8. continue iteration.
(13) Optimal Power Flow subsystem is derived result after calculating, and concrete outcome comprises:
1. determine the optimum position of transformer gear;
2. determine the idle injecting data of the best of each generating equipment (comprising generator, compensator, SVC and STATCOM etc.);
3. determine the optimum data of each serial compensation capacitance;
4. determine the switching state of each capacity reactance device.
Complete when the calculating of Optimal Power Flow subsystem, Optimal Power Flow subsystem result of calculation is mail to grid simulation platform.
(14) by operating personnel, carry out manual intervention, the result that operating personnel send to grid simulation platform for Optimal Power Flow is carried out human intervention, and particular content comprises:
1. according to local power grid operating standard, check one by one, if there is violation, need to proofread and correct.
While 2. having different implementation methods for same result, adopt usual operational mode.
The result of operating personnel after for human intervention satisfied after, deposited in the database of grid simulation platform, and filed in order to consulting.
Claims (9)
1. a reconstruct Network Based and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning, the method is on the basis of grid simulation platform, newly-increased network reconfiguration subsystem and tide optimization subsystem, network reconfiguration subsystem all adopts the network communication mode of TCP/IP to be connected with grid simulation platform respectively with tide optimization subsystem, it is characterized in that: method step is as follows:
(1) start system: the Digital Simulation module in grid simulation platform calculates electric power system tide, and be stored in the database of grid simulation platform;
(2) by operator, by man-machine interface, operated, the plan constraint for following electrical network is set in network reconfiguration subsystem;
(3) on the RTI of grid simulation platform interface, increase for the interface service of Electric Power Network Planning and call;
(4) start network reconfiguration subsystem, network reconfiguration subsystem obtains electric network data by the interface of grid simulation platform;
(5) determine the regulation that network reconfiguration subsystem is followed in calculating; The described regulation of following comprises:
1. use shortest path first, effectively realize global optimum;
2. only for dead electricity load is found supply path;
3. optimisation technique is combined with heuristic rule;
4. by influenced group, be considered as a load, all switches of getting in touch with other group, as the candidate's switch restoring electricity, are identified all possible switch or power distribution network; First consider remote control switch, and only use remote control switch seeking solution, if use separately remote control switch can not restore electricity or alleviate overload completely, just need to consider all switches;
5. affected dead electricity load is sorted by priority, low-level load disconnects; The switch of guaranteeing first to close, then open a switch, the switch that the next one will close should produce minimum circulation;
6. gained scheme is through the inspection of overprotection checking routine;
(6) take loss minimization when target function calculates, determine constraint;
(7) network reconfiguration subsystem obtains optimal solution;
(8) operator carries out human intervention correction to described network reconfiguration result;
(9), after the result satisfaction that operator proofreaies and correct for human intervention, result is write in grid simulation platform;
(10) start Optimal Power Flow subsystem, Optimal Power Flow subsystem obtains electric network data by the interface of grid simulation platform;
(11) before calculating, Optimal Power Flow subsystem determines constraint;
(12) in Optimal Power Flow subsystem, with interior point method, launching Optimal Power Flow calculates;
(13) Optimal Power Flow subsystem is derived result after calculating, and result is sent to grid simulation platform;
(14) by operating personnel, to sending to the derivation result of grid simulation platform, carry out manual intervention correction;
(15) after the result satisfaction of operating personnel for human intervention post-equalization, deposited in the database of grid simulation platform, and filed in order to consulting.
2. reconstruct Network Based according to claim 1 and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning, it is characterized in that: the plan constraint of described step in is (2) as follows:
1. load distributes and each load Maximum Constraint;
2. the total capacity of generating electricity constraint;
3. invest circuit and number transformer constraint;
4. total investment expenses constraint.
3. reconstruct Network Based according to claim 1 and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning, it is characterized in that: described step calling (3) comprises:
1. obtain and return plant stand title;
2. obtain and return line/transformer parameter;
3. obtain and Returning switch state;
4. obtain and return the meritorious and idle of generator and compensator;
5. obtain and return transformer gear;
6. obtain and return the switching state of capacity reactance device;
7. obtain and return the electric capacity/reactance value of static reactive power compensator;
8. obtain and return series compensator electric capacity/reactance value;
9. obtain and return STATCOM electric capacity/reactance value.
4. reconstruct Network Based according to claim 1 and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning, it is characterized in that: (4) described step obtains electric network data and comprise:
1. electrical network basic data;
2. initial trend section;
3. load distributes and each load Maximum Constraint;
4. the total capacity of generating electricity constraint;
5. invest circuit and number transformer constraint;
6. total investment expenses constraint.
5. reconstruct Network Based according to claim 1 and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning, it is characterized in that: the constraint of described step in (6) comprises:
1. Kirchhoff's current law (KCL) and Kirchhoff's second law;
2. the radiation of power distribution network and the voltage-drop of power distribution network;
3. element reserve capacity;
4. recover peak load;
5. minimum power loss;
6. minimum grid switching operation;
7. first remote control switch should be considered;
8. the order of grid switching operation;
9. the consideration of protection;
10. with the coordinating of other distribution automatic functions.
6. reconstruct Network Based according to claim 1 and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning, it is characterized in that: the described step (7) middle optimal solution that obtains comprises:
1. select rational power plant;
2. substation capacity and position;
3. circuit model and route;
4. main operational mode.
7. reconstruct Network Based according to claim 1 and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning, it is characterized in that: the described step (10) middle electric network data that obtains comprises:
1. electrical network basic data;
2. node voltage bound;
3. series compensator capacity.
8. reconstruct Network Based according to claim 1 and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning, it is characterized in that: the constraint of described step in (11) comprises:
1. the maximum size of circuit and transformer;
2. the bound of transformer gear;
3. generator and compensator has an idle bound of exerting oneself;
4. the bound of node voltage;
5. reactive-load compensation equipment bound.
9. reconstruct Network Based according to claim 1 and Optimal Power Flow simulation calculation build the method for Electric Power Network Planning, it is characterized in that: the derivation result of described step in (13) comprises:
1. determine the optimum position of transformer gear;
2. determine the idle injecting data of the best of generator, compensator, static reactive power compensator and STATCOM;
3. determine the optimum data of whole serial compensation capacitances;
4. determine the switching state of whole capacity reactance devices.
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| CN105550796A (en) * | 2015-12-04 | 2016-05-04 | 中国电力科学研究院 | Method for automatically generating power grid program candidate line set |
| CN105550796B (en) * | 2015-12-04 | 2019-12-27 | 中国电力科学研究院 | Method for automatically generating power grid planning candidate line set |
| CN112260331A (en) * | 2020-12-21 | 2021-01-22 | 中国电力科学研究院有限公司 | Extra-high voltage alternating current-direct current power grid simulation platform and construction method |
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