CN109472382A - An a kind of method for optimizing scheduling protecting electric-examination and repairing - Google Patents
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Abstract
An a kind of method for optimizing scheduling protecting electric-examination and repairing, for when power supply unit breaks down, carry out the allotment of maintenance vehicle, power supply unit includes Allocation transformer depressor, main distributing board and from power distribution cabinet, several Allocation transformer depressors, several main distributing boards are connected on each Allocation transformer depressor, are reconnected on main distribution cabinet several from power distribution cabinet.The present invention protects power supply trouble around reply in time and excludes this target, according to protecting, distinct device in electric line and same guarantor's electric line is different in the importance of different periods, the priority of troubleshooting is ranked up, comprehensive current road conditions, distance and vehicle flowrate carry out the scheduling of maintenance vehicle, it selects used time shortest maintenance vehicle to reach and carries out troubleshooting at the higher faulty equipment of priority, guarantee the quality and efficiency of protecting electric task.
Description
Technical Field
The invention relates to the field of power supply, in particular to a scheduling optimization method for a power-protection maintenance vehicle.
Background
With the rapid development of all aspects of economic life, important meetings, high-specification activities and heavy reception tasks are increasingly faced, and more and higher requirements are provided for the power supply capacity of power supply companies at all levels. The power system guarantees the power supply requirement, handles the accident, guarantees the platform of electric wire netting safe operation, and the core problem that solve is how to make comprehensive response in the shortest time after the incident takes place, guarantees the reliable, swift of power supply task to furthest's reduction accident causes the loss, promotes power supply service level and power supply guarantee ability. In the current power protection and supply work, the dispatching of the overhaul vehicle mainly depends on the subjective judgment of a director, scientific planning is lacked, an important power protection object cannot be considered, and the timely overhaul of sudden failure equipment is not facilitated, so that the dispatching method of the power protection overhaul vehicle needs to be optimized by combining the priority of the power protection equipment.
Chinese patent CN 101105891 a, published No. 2008, 1 month, 16 days, a GPS vehicle monitoring and scheduling system applied to an electric power system, which includes a vehicle-mounted terminal device, a wireless communication network, a monitoring and scheduling center, and a task assigning system having an intelligent scheduling algorithm and a fault handling time statistical model, and monitors and assigns maintenance tasks by the task assigning system having the intelligent scheduling algorithm and the fault handling time statistical model, so as to realize monitoring and scheduling of GPS vehicles.
Disclosure of Invention
The invention aims to solve the problem that optimal vehicle scheduling cannot be carried out according to the priority of equipment, and provides a power conservation planning and equipment fault removing method.
The technical scheme adopted by the invention for solving the technical problems is as follows: the utility model provides a scheduling optimization method of guarantor's electricity maintenance vehicle for when power supply unit breaks down, overhaul the allotment of vehicle, power supply unit includes distribution transformer, main distributor and follow switch board, a plurality of distribution transformers, connects a plurality of main distributors on every distribution transformer, connects a plurality of follow switch boards again on the main switch board, the allotment of vehicle includes following step:
s1: leading in a topological structure of a power protection circuit and position information of a maintenance vehicle, and establishing a maintenance vehicle set [ Y ]; determining a power protection range, and establishing a power protection equipment set [ P ]; determining a planned power failure range, and establishing a planned power failure equipment set [ Q ]; corresponding to each element in the planned blackout equipment set [ Q ], establishing a accompany-stop equipment set [ Q' ];
s2: after receiving the power failure information of the equipment, determining the type of the power failure equipment, namely the planned power failure equipment QnIs also a companion stop device Q'nAlso as a faulted blackout facility, for a planned blackout facility QnAnd accompany equipment Q'nAdjusting the priority of the planned blackout equipment and/or the duration of the planned blackout time period; for the fault power failure equipment, a fault power failure equipment set [ X' ]is established]；
S3: at time t, a set [ X' ]is determined]Internal inspection priority [ X'1，X′2，...，X＇i]If the set [ X' ]]If the current time is null, the step is executed again after waiting for the time delta t;
s4: according to trouble power failure equipment X'iThe state of the inspection vehicle Y within a certain range around the inspection vehicle Y, and the inspection vehicle Y in the standby state is determined1Set of [ X'iY11，X′iY12，...，X′iY1j]；
S5: selecting optimal overhaul vehicle X'iY＇1jDispatching to fault power failure equipment X'iThe maintenance is carried out;
s6: i +1, jumping to S4;
s7: when t is t + Δ t, the process proceeds to S2, and the faulty blackout equipment set [ X' ] is updated.
Preferably, the set [ X' ] is determined in the step S3]Internal inspection priority [ X'1，X′2，...，X＇i]The method comprises the following steps: dividing the power conservation cycle into several time periods T1，T2，...，TnThe comprehensive weight of the fault power failure equipment X' is sequenced once in each time intervalObtaining the maintenance priority [ X 'of the fault power failure equipment X'1，X′2，...，X＇i]The smaller i, the higher the priority.
Preferably, the integrated weight is: setting the weight of the distribution transformer as xh according to the importance degree of the power supply task, wherein xh belongs to (1-10)]The weight of the main power distribution cabinet is Yhk，Yhk∈(0.1-1]The weight of the slave power distribution cabinet is zhkl，zhkl∈(0.01-0.1]And the comprehensive weight w of the distribution transformer is cut off in case of faulth＝xhAnd the comprehensive weight w of the main power distribution cabinet in fault power failurehk＝xh*Yhk(ii) a Comprehensive weight w of fault power failure slave power distribution cabinethkl＝xh*Yhk*zhkl(ii) a According to fault power failure equipment X'iThe corresponding integrated weights are sorted to obtain a set [ X' ]]Internal inspection priority [ X'1，X′2，...，X′i]。
Preferably, the integrated weight of the power supply devices in the power protection device set [ P ] is greater than the integrated weight of the power supply devices outside the power protection device set [ P ].
Preferably, the state of repairing the vehicle Y in step S4 includes four states of standby, working, maintenance and failure: the state of the inspection vehicle in standby state is Y1(ii) a Overhauling vehicle to fault power failure equipment X'iWhen the maintenance is carried out, the state of the maintenance vehicle is Y2(ii) a The state of the inspection vehicle in the vehicle maintenance or repair state is Y3(ii) a The state of the maintenance vehicle is Y when the maintenance vehicle has a fault4(ii) a Selecting overhaul vehicle X'iY1jTo fault power failure equipment X'iVehicle X 'is overhauled during overhaul'iY1jFrom state of Y1Conversion to Y2After the maintenance is finished, the state of the vehicle is changed from Y2Conversion to Y1。
Preferably, the equipment states in the power-saving equipment set [ P ] in step S5 include normal, fault and under-maintenance, X represents normal, X' represents fault power failure, and X "represents under-maintenance; the state of the faulty power outage apparatus X' is changed to X "when proceeding to step S5, and the state of the apparatus after completion of the overhaul is changed from X" during the overhaul to normal X.
Preferably, in step S5, an optimal inspection vehicle X 'is selected'iY1j1The method comprises the following steps: calculate set [ X'iY11，X′iY12，...，X′iY1j]Internal elements reach the fault power failure device X'iTime requiredEstablishing a set of timesThe optimal service vehicle
Preferably, the time is
Wherein,indicating traffic flow conditions, will service vehicle Y1jAnd fault power failure equipment X'iThe traffic flow on the road section between the two road sections is divided into a plurality of sections, and each section corresponds to a corresponding sectionThe larger the coefficient, the larger the traffic flow,the smaller the coefficient;indicating service vehicle Y1jAnd fault power failure equipment X'iRoad condition coefficient between;indicating service vehicle Y1jAnd fault power failure equipment X'iThe distance between them.
The substantial effects of the invention are as follows: around the aim of timely dealing with the fault elimination of the power supply protection, the priority of the fault elimination is sequenced according to different importance of different equipment on the power protection line and the same power protection line in different time periods, the current road condition, distance and traffic flow are integrated to schedule the overhaul vehicles, the shortest overhaul vehicle reaches the fault equipment with higher priority for fault elimination, and the quality and efficiency of the power protection task are ensured.
Detailed Description
The technical solution of the present invention will be further specifically described below by way of specific examples.
The utility model provides a scheduling optimization method of guarantor's electricity maintenance vehicle for when power supply unit breaks down, overhaul the allotment of vehicle, power supply unit includes distribution transformer, main distributor and follow switch board, a plurality of distribution transformers, connects a plurality of main distributors on every distribution transformer, connects a plurality of follow switch boards again on the main switch board, the allotment of vehicle includes following step:
s1: leading in a topological structure of a power protection circuit and position information of a maintenance vehicle, and establishing a maintenance vehicle set [ Y ]; determining a power protection range, and establishing a power protection equipment set [ P ]; determining a planned power failure range, and establishing a planned power failure equipment set [ Q ]; corresponding to each element in the planned blackout equipment set [ Q ], establishing a accompany-stop equipment set [ Q' ];
the power protection equipment set [ P ] and the overhaul vehicle set [ Y ] are numbered according to horizontal plane coordinates, when power protection planning and equipment fault removal are carried out, power supply equipment in a power protection range is classified into the power protection equipment set [ P ], power supply equipment in a planned power failure range is classified into a planned power failure equipment set [ Q ], due to the geographical or electrical connection relation, when certain power supply equipment plans to have power failure, other equipment is required to be accompanied and stopped so as to ensure the safety of equipment overhaul and line maintenance, and equipment which is geographically or electrically related to each element in the planned power failure equipment set [ Q ] is classified into an accompanying and stopping equipment set [ Q' ].
S2: after receiving the power failure information of the equipment, determining the type of the power failure equipment, namely the planned power failure equipment QnIs also a companion stop device Q'nAlso as a faulted blackout facility, for a planned blackout facility QnAnd accompany equipment Q'nThe priority order of the planned power failure equipment and/or the duration of the planned power failure time period are/is adjusted, and the normal work of the power protection equipment is preferentially ensured; for the fault power failure equipment, the equipment state is changed from X ' to X ', and a fault power failure equipment set [ X ' ]is established]Bringing a device in the state X 'into the set [ X' ]]Performing the following steps;
s3: at time t, a set [ X' ]is determined]Internal inspection priority [ X'1，X＇2，...，X′i]If the set [ X' ]]If the current time is null, the step is executed again after waiting for the time delta t;
determining a set [ X' ]]Internal inspection priority [ X'1，X′2，...，X′i]The method comprises the following steps: dividing the power conservation cycle into several time periods T1，T2，...，TnThe importance of the power protection object and the power protection task in each time interval is different, and the weight of the distribution transformer is set to be x according to the importance degree of the power supply taskh，xh∈(1-10]The weight of the main power distribution cabinet is Yhk，Yhk∈(0.1-1]The weight of the slave power distribution cabinet is zhkl，zhkl∈(0.01-0.1]Comprehensive weight w of fault power failure distribution transformerh＝xhAnd the comprehensive weight w of the main power distribution cabinet in fault power failurehk＝xh*Yhk(ii) a Comprehensive weight w of fault power failure slave power distribution cabinethkl＝xh*Yhk*zhkl. Electricity-keeping equipment set P]Internal power supply deviceThe comprehensive weight of the equipment is more than the power-preserving equipment set P]The overall weight of the external power supply device. The comprehensive weights of the fault power failure equipment X 'are sequenced once in each time interval to obtain the overhaul priority [ X'1，X′2，...，X′i]The smaller i, the higher the priority; according to fault power failure equipment X'iThe corresponding integrated weights are sorted to obtain a set [ X' ]]Internal inspection priority [ X'1，X′2，...，X′i]。
S4: according to trouble power failure equipment X'iThe state of the inspection vehicle Y within a certain range around the inspection vehicle Y, and the inspection vehicle Y in the standby state is determined1Set of [ X'iY11，X′iY12，...，X′iY1j]；
The state of the inspection vehicle Y includes four states of standby, working, maintenance, and failure: the state of the inspection vehicle in standby state is Y1(ii) a Overhauling vehicle to faulty device X'iWhen the maintenance is carried out, the state of the maintenance vehicle is Y2(ii) a The state of the inspection vehicle in the vehicle maintenance or repair state is Y3(ii) a The state of the maintenance vehicle is Y when the maintenance vehicle has a fault4(ii) a Selecting overhaul vehicle X'iY1jTo fault equipment X'iVehicle X 'is overhauled during overhaul'iY1jFrom state of Y1Conversion to Y2After the maintenance is finished, the state of the vehicle is changed from Y2Conversion to Y1When the vehicle is in the maintenance state, the vehicle is in the fault state or the time state is converted into the corresponding Y3Or Y4On the one hand, the command end can timely master the working condition of the whole overhaul vehicle system, and on the other hand, the command end is convenient for the accuracy of vehicle allocation.
S5: selecting optimal overhaul vehicle X'iY′1jDispatching to fault power failure equipment X'iThe maintenance is carried out;
optimal overhaul vehicle X'iY1j1The method comprises the following steps: calculate set [ X'iY11，X′iY12，...，X′iY1j]Inner element to failure device X'iTime requiredEstablishing a set of times Optimal service vehicle Wherein,indicating traffic flow conditions, will service vehicle Y1jAnd fault equipment X'iThe traffic flow on the road section between the two road sections is divided into a plurality of sections, and each section corresponds to a corresponding sectionThe larger the coefficient, the larger the traffic flow,the smaller the coefficient;indicating service vehicle Y1jAnd fault equipment X'iThe road condition coefficient between the two road conditions,is set according to past historical data, for example, the road condition is very good,the road conditions are common in the prior art,the road condition is poor, and the road quality is poor, indicating service vehicle Y1jAnd fault equipment X'iThe distance between the two or more of the two or more,planning the shortest path between the fault equipment and the maintenance vehicle according to the horizontal coordinate and the GIS map;
s6: i +1, jumping to S4;
arranging overhaul vehicles for the fault equipment X' one by one according to the priority;
s7: when t is t + Δ t, the process proceeds to S2, and the faulty blackout equipment set [ X' ] is updated.
Faulty device set [ X'i]And updating every delta t to cope with equipment faults occurring at any time, so that the fault equipment with higher priority can be overhauled in time.
The above-described embodiment is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the scope of the invention as set forth in the claims.
Claims (8)
1. The utility model provides a scheduling optimization method of guarantor's electricity maintenance vehicle for when power supply unit breaks down, overhaul the allotment of vehicle, power supply unit includes distribution transformer, main distributor and follows the switch board, a plurality of distribution transformers, connects a plurality of main distributors on every distribution transformer, connects a plurality of following switch boards again on the main switch board, its characterized in that, the allotment of vehicle includes following step:
s1: leading in a topological structure of a power protection circuit and position information of a maintenance vehicle, and establishing a maintenance vehicle set [ Y ]; determining a power protection range, and establishing a power protection equipment set [ P ]; determining a planned power failure range, and establishing a planned power failure equipment set [ Q ]; corresponding to each element in the planned blackout equipment set [ Q ], establishing a accompany-stop equipment set [ Q' ];
s2: after receiving the power failure information of the equipment, determining the type of the power failure equipment, namely the planned power failure equipment QnOr accompany-stopping equipment QnAlso as a faulted blackout facility, for a planned blackout facility QnAnd accompany-stopping equipment QnAdjusting the priority of the planned blackout equipment and/or the duration of the planned blackout time period; for the fault power failure equipment, a fault power failure equipment set [ X' ]is established]；
S3: at time t, a set [ X' ]is determined]Internal inspection priority [ X'1，X′2，...，X＇i]If the set [ X' ]]If the current time is null, the step is executed again after waiting for the time delta t;
s4: according to trouble power failure equipment X'iThe state of the inspection vehicle Y within a certain range around the inspection vehicle Y, and the set [ X 'of the inspection vehicle Y1 in the standby state'iY11，X′iY12，...，X′iY1j]；
S5: selecting the best overhaul vehicle XiY＇1jDispatching to fault power failure equipment X'iThe maintenance is carried out;
s6: i +1, jumping to S4;
s7: when t is t + Δ t, the process proceeds to S2, and the faulty blackout equipment set [ X' ] is updated.
2. The method for optimizing the scheduling of a warranty service vehicle according to claim 1, wherein the set [ X' ] is determined in said step S3]Internal inspection priority [ X'1，X′2，...，X＇i]The method comprises the following steps: dividing the power conservation cycle into several time periods T1，T2，...，TnThe comprehensive weights of the fault power failure equipment X 'are sequenced once in each time interval to obtain the overhaul priority [ X' ] of the fault power failure equipment X1，X′2，...，X′i]The smaller i, the higher the priority.
3. The scheduling optimization method for the electricity maintenance overhaul vehicle according to claim 2, wherein the comprehensive weight is as follows: setting the weight of the distribution transformer to x according to the importance degree of the power supply taskh，xh∈(1-10]The weight of the main power distribution cabinet is Yhk，Yhk∈(0.1-1]The weight of the slave power distribution cabinet is zhkl，zhkl∈(0.01-0.1]Comprehensive weight W of fault power failure distribution transformerh＝xhAnd comprehensive weight W of main power distribution cabinet in fault power failurehk＝xh*Yhk(ii) a Comprehensive weight W of fault power failure slave power distribution cabinethkl＝xh*Yhk*zhkl(ii) a According to fault power failure equipment X'iThe corresponding integrated weights are sorted to obtain a set [ X' ]]Internal inspection priority [ X'1，X′2，...，X′i]。
4. The scheduling optimization method for electricity-conserving service vehicles according to claim 3, wherein the comprehensive weight of the power supply equipment in the electricity-conserving equipment set [ P ] is greater than the comprehensive weight of the power supply equipment outside the electricity-conserving equipment set [ P ].
5. The method for optimizing dispatching of power conservation maintenance vehicle according to claim 1, wherein the state of step S4 maintenance vehicle Y includes four types of standby, working, maintenance and failure: the state of the inspection vehicle in standby state is Y1(ii) a Overhauling vehicle to fault power failure equipment X'iWhen the maintenance is carried out, the state of the maintenance vehicle is Y2(ii) a The state of the inspection vehicle in the vehicle maintenance or repair state is Y3(ii) a The state of the maintenance vehicle is Y when the maintenance vehicle has a fault4(ii) a Inspection vehicle XiY1jFor fault power failure equipment XiWhen the inspection is performed, the inspection vehicle XiY1jFrom state of Y1Conversion to Y2After the maintenance is finished, the state of the vehicle is changed from Y2Conversion to Y1。
6. The dispatching optimization method for electricity-conserving service vehicle according to claim 1, wherein the equipment status in the step S5 electricity-conserving equipment set [ P ] includes normal, fault and service, X represents normal, X' represents fault power failure, X "represents service; the state of the faulty power outage apparatus X' is changed to X "when proceeding to step S5, and the state of the apparatus after completion of the overhaul is changed from X" during the overhaul to normal X.
7. The dispatching optimization method for electricity-protection overhaul vehicles according to claim 1, wherein optimal overhaul vehicle X 'is selected in the step S5'iY1j1The method comprises the following steps: compute set [ XiY11，X＇iY12，...，X′iY1j]Internal elements reach the fault power failure device X'iTime requiredEstablishing a set of times The optimal service vehicle
8. The method of claim 7, wherein the time is the time of day
Wherein,indicating the traffic flow situation, and examining and repairing the vehicle Y1jAnd fault power failure equipment X'iThe traffic flow on the road section between the two road sections is divided into a plurality of sections, and each section corresponds to a corresponding sectionThe larger the coefficient, the larger the traffic flow,the smaller the coefficient;indicating service vehicle Y1jAnd fault power failure equipment X'iRoad condition coefficient between;indicating service vehicle Y1jAnd fault power failure equipment X'iThe distance between them.
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| CN118365017A (en) * | 2024-03-08 | 2024-07-19 | 南京卓道环保科技有限公司 | Big data-based environment-friendly garbage truck throwing management system |
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| CN118365017A (en) * | 2024-03-08 | 2024-07-19 | 南京卓道环保科技有限公司 | Big data-based environment-friendly garbage truck throwing management system |
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Application publication date: 20190315 |