CN105160411A - Optimization method for configuring reactive compensation capacity based on entire life-cycle management - Google Patents
Optimization method for configuring reactive compensation capacity based on entire life-cycle management Download PDFInfo
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Abstract
The invention provides an optimization method for configuring the reactive compensation capacity based on entire life-cycle management so as to find an optimal reactive compensation configuration method by being comprehensively considering the cost and a loss reduction objective. The method comprises the steps of 1, calculating the reactive compensation capacity required by each distribution transformer; 2, selecting a capacitor whose cost is the lowest in entire life-cycle objective function according to an entire life-cycle algorithm, wherein an objective function expression of the entire life-cycle cost is that the entire life-cycle cost equals the sum of the input cost, the operation cost, the maintenance cost, the failure cost and the obsolescence cost; and 3, optimizing grouping according the selected capacitor and different grouping conditions. The method has the beneficial effects that an idea of entire life-cycle cost is applied, unified planning is carried out on the cost inputted into each period of active compensation equipment which is mainly the capacitor, and economic benefits of power supply technologies and the reliability and the safety of power supply are enabled to be improved while reactive power optimization is well achieved.
Description
Technical field
Technical field of the present invention is distribution network var compensation optimization, be specially the distribution network var compensation optimization method based on life cycle management, particularly one according to different demand, considering cost and can fall damage target, and carrys out rationally to configure economically the optimization method of each type, quantity and the capacity that need the capacitor of the node of reactive-load compensation according to the computing formula of life cycle management.
Background technology
Assets overall life cycle cost (LCC) concept originates from the railway system of Sweden, and nineteen sixty-five, U.S. Department of Defense implemented in the entire PLA.1996 International Electrotechnical Commission (IEC) issued associated international standards: IEC60300-3-3 also issues revised edition in July, 2004.In addition, international conference on large HV electric systems (CIGRE) also proposed in 2004 to use overall life cycle cost with Improving Equipment management work.
The initial application of assets overall life cycle cost evaluation be as in a kind of decision-making to the economic means that project/assets are evaluated, including with life cycle cost is design parameter, process and activity project/assets scheme being carried out to systematic analysis.Its application target is that aid decision making person filters out preferred plan from each feasible program.
Power distribution network is in the end of electric power networks, is closely connected with user side.Statistics shows, electric system 13% energy loss occur in power distribution network, the user of 80% has a power failure because distribution network failure causes.The network loss reducing power distribution network is one and ignores and the problem that must solve, and only so, could improve power supply reliability and increase economic efficiency.Current domestic most distribution network transform grew a lot in recent years, old transformer station's boosting, increase-volume, ultra high-tension transmission line etc. is introduced in electrical network, but meanwhile, because based model for load duration increases in recent years, the defect of power distribution network more and more embodies, and such as, the high and reactive-load compensation dynamics of line wire overload, line loss per unit is inadequate etc.
Research existing more both at home and abroad in distribution substation transformation, document [1] proposes one with maximum investment for constraint condition, is the genetic Optimization Algorithm of target, mainly for the optimization of the network structure in distribution with comprehensive evaluation index optimum.Document [2] also lays particular emphasis on the simple network optimization, proposes a kind ofly to reduce special tie trunk quantity and transformer, algorithm that the medium voltage distribution network interconnection of circuit margin capacity is optimized as far as possible.The main optimization carrying out the method for operation from the angle of Distribution system of document [3].Document [4] have studied autoplacement's problem of power distribution network under different Connection Mode, is also network optimization problem.
These above methods are all the optimization for network topology, and not for the optimization of the transformation of certain feeder line, as under the prerequisite that investment is certain, which kind of some feeder line section, the need of replacing, changes for type; Which distribution low-voltage side needs compensating reactive power, and the value of compensating reactive power is how many; Whether the gear of distribution transforming is reasonable; Distribution transforming is the need of replacing; And for power distribution network, most of transform measure is all the feeder line existed for some, carrying out various Optimizing Reconstruction, is the improvement on current basis.The input cost of reactive-load compensation equipment is mainly considered in the cost analysis of reactive power compensation ability in the past, and almost ignores the operating cost of reactive-load compensation (as maintenance cost, failure cost) and obsolescence cost.This makes, for high cost when electrical network provides reactive-load compensation, to cause the economic benefit of power supply enterprise to reduce.The present invention will consider each cost factor, the transformation of existing equipment and the change of the network architecture parameters caused, and also have the compensation of capacitor, cause the factor that load section changes, by unified real coding, in an optimizing process, comprehensive optimizing, finds best modification scheme.
[1] Xu Jing, Wang Chengshan etc. based on the distribution network transform scheme optimization of self-adapted genetic algorithm. Automation of Electric Systems, 2007,31 (14)
[2] Duan Gang, Yu Yixin. the algorithm of medium voltage distribution network interconnection and realization. Automation of Electric Systems, 1999,23 (15): 10-14
[3] Xie Kaigui, Zhou Jiaqi. based on the power distribution network switching optimization model of immune algorithm. Automation of Electric Systems, 2003,27 (15): 35-39
[4] Wang Chengshan, Wang Saiyi. the Urban Medium Voltage Distribution Network intelligent planning based on space GIS: the autoplacement of (one) radiation Connection Mode. Automation of Electric Systems, 2004,28 (5): 45-50
Summary of the invention
The present invention proposes a kind of reactive power compensation ability method based on life cycle management, when Optimal Reactive Power compensates configuration, take into full account the cost in each period when dropping into reactive-load compensation equipment, as input cost, maintenance cost, failure cost, simultaneously by the optimization of genetic algorithm, obtain the reactive-load compensation amount that each needs the node of reactive-load compensation, after setting the objective function based on life cycle management, determine that each node drops into type and the quantity of capacitor.In addition have:
FV=PV (1+i)
nformula (1)
In formula, the final value (futurevalue) calculated by multiple profit after FV--converts n;
There is present worth (presentvalue) then in PV-expense;
The average cost of financing rate of i-, in this case Generalized cost, has considered following factor: bank rate, price-rise factor, funding risk, is generally thought of as portfolio investment cost rate (portfolio);
N-calculates year number
The described idle work optimization method based on life cycle management comprises the steps:
The first step, utilizes genetic algorithm to calculate the reactive capability of the required configuration of each node,
Second step, according to life cycle management algorithm, select the capacitor of cost minimization under life cycle management objective function, the objective function expression formula of overall life cycle cost is: overall life cycle cost=input cost+operating cost+maintenance cost+failure cost+obsolescence cost
The concrete steps of described optimization method are:
1) before carrying out Reactive Power Optimization Algorithm for Tower, first structure and the actual load situation of power distribution network is determined, by the structural modeling to power distribution network, as the connected mode of circuit, the number of distribution transforming, the quantity of the reactive power compensator before compensation, position, obtain the topological structure of power distribution network, this method carries out idle work optimization according to the peak load method of operation, because under the peak load method of operation, idle the deficientest;
2) calculate the parameter before reactive-load compensation, calculate the full electric network trend before reactive-load compensation and the whole network loss Ploss-ori by the primary data of input, determine that this electrical network is the need of compensating reactive power,
3) if desired compensate, then the reactive power in distribution transforming and circuit and alternative capacitor type encoded, and random produce initial population i, describedly determine that the formula of reactive compensation capacity is as follows:
To Q
cdifferentiate, draws
In formula,
Δ P
crepresent the active loss of compensating reactive power every kilovar, T is working time in year, and R is the substitutional resistance of compensation point to power supply, Q
avrepresent annual load or burden without work, Q
maxrepresent the maximal value of year load or burden without work, τ
maxrepresent annual peak load loss hourage.
4) individual fitness function is calculated by the overall life cycle cost of active loss and capacitor; Described fitness function is the objective function of reactive power compensation ability:
F=K1 (Ploss-ori-Ploss-new)-K2*V-K3*Cos, in formula, Ploss-ori is the active loss value before compensating reactive power, and Ploss-new is the active loss value after compensating reactive power, and V is voltage penalty term, and Cos is power factor penalty term; Load flow calculation is carried out to the electrical network after compensating, if the voltage on circuit or in distribution transforming is defective or power factor is defective, then in fitness function, correspondingly increases penalty term; K1, K2, K3 are weight coefficients;
3rd step, according to optimum results, namely compensation point need compensation rate, finally determined the quantity of the capacitor that compensation point need compensate by the overall life cycle cost of dissimilar capacitor.
In fact, based on whole-life cycle fee configuration reactive compensation capacity, current cost and then reduce irrational waste when not only can consider each of capacitor, can also improve the active power loss rate of the whole network when cost is less.
Embodiment
The present invention is with the power distribution network of an actual 10kV for example, and Fig. 1 is the simple topology figure of a feeder line-liquefied gas line in this power distribution network.Wherein 0 node is power supply node, and other nodes are load bus.
This method has been compiled by c++ on VisualStudio2010 platform.Through many experiments, the population scale of the genetic algorithm adopted herein is 20, and maximum iteration time is 100 times, and crossing-over rate is 0.95, and aberration rate is 0.01.
Choose capacitor type for subsequent use according to actual track, overall life cycle cost related data research must draw scheme by see external, and can obtain the overall life cycle cost of often capacitor according to formula (1).Wherein get:
I and the average cost of financing are 10%;
Calculating base year is 2010;
Cycle mathematic(al) expectation is 5 years.Visible, when 2010 yearly correlation data are known, the overall life cycle cost of the capacitor in 5 years cycles can be obtained.
Result of calculation is as shown in the table
Every, table 1 capacitor overall life cycle cost scheme table
The optimum results of final acquisition is as shown in table 2 and table 3.
Table 2 is based on the idle work optimization result of whole-life cycle fee
Table 3 two kinds of Measures compare
As can be seen from Table 2, the loss rate of falling based on the idle work optimization method of whole-life cycle fee is reasonable, and the node of compensation is more, and it is larger to fall loss rate, but the overall life cycle cost of the capacitor dropped into is also higher.In table 3, data are with optimum results 7 for example can obtain, and adopt the loss rate of falling of the optimization method of whole-life cycle fee will lower than the idle work optimization method of traditional genetic algorithm, but the overall life cycle cost of alternative capacitor is 1/4th of classic method.
Claims (5)
1., based on the optimization method of whole-life cycle fee configuration reactive compensation capacity, specifically comprise the steps
The first step, utilizes genetic algorithm to calculate the reactive capability of the required configuration of each node,
Second step, according to life cycle management algorithm, select the capacitor of cost minimization under life cycle management objective function, the objective function expression formula of overall life cycle cost is: overall life cycle cost=input cost+operating cost+maintenance cost+failure cost+obsolescence cost
3rd step, according to optimum results, namely compensation point need compensation rate, finally determined the quantity of the capacitor that compensation point need compensate by the overall life cycle cost of dissimilar capacitor.
2., as claimed in claim 1 based on the optimization method of whole-life cycle fee configuration reactive compensation capacity, the concrete steps of described optimization are:
1) before carrying out Reactive Power Optimization Algorithm for Tower, structure and the actual load situation of power distribution network is first determined, by the structural modeling to power distribution network, as the connected mode of circuit, the number of distribution transforming, the quantity of the reactive power compensator before compensation, position, obtain the topological structure of power distribution network
2) calculate the parameter before reactive-load compensation, calculate the full electric network trend before reactive-load compensation and the whole network loss Ploss-ori by the primary data of input, determine that this electrical network is the need of compensating reactive power,
3) if desired compensate, then the reactive power in distribution transforming and circuit and alternative capacitor type are encoded, and random generation initial population i;
4) individual fitness function is calculated by the overall life cycle cost of active loss and capacitor.
3., as claimed in claim 1 based on the optimization method of whole-life cycle fee configuration reactive compensation capacity, described optimization method carries out idle work optimization according to the peak load method of operation, because under the peak load method of operation, idle the deficientest.
4., as claimed in claim 1 based on the optimization method of whole-life cycle fee configuration reactive compensation capacity, needed for described calculating distribution transforming, the formula of reactive compensation capacity is as follows:
To Q
cdifferentiate, draws
or
In formula,
Δ P
crepresent the active loss of compensating reactive power every kilovar, T is working time in year, and R is the substitutional resistance of compensation point to power supply, Q
avrepresent annual load or burden without work, Q
maxrepresent the maximal value of year load or burden without work, τ
maxrepresent annual peak load loss hourage.
5. described in the optimization method configuring reactive compensation capacity based on whole-life cycle fee as claimed in claim 1 or 2, ideal adaptation degree function is the objective function of reactive power compensation ability:
F＝K1(Ploss-ori-Ploss-new)-K2*V-K3*Cos，
In formula, Ploss-ori is the active loss value before compensating reactive power, and Ploss-new is the active loss value after compensating reactive power, and V is voltage penalty term, and Cos is power factor penalty term; Load flow calculation is carried out to the electrical network after compensating, if the voltage on circuit or in distribution transforming is defective or power factor is defective, then in fitness function, correspondingly increases penalty term; K1, K2, K3 are weight coefficients.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106208110A (en) * | 2016-08-31 | 2016-12-07 | 中国电力科学研究院 | A kind of screening technique of distribution network var compensation optimal allocation strategy |
| CN107171311A (en) * | 2017-05-09 | 2017-09-15 | 广东电网有限责任公司汕头供电局 | A kind of choice of distribution transformer method and device based on life period of an equipment minimum charge |
| CN107180303A (en) * | 2017-05-12 | 2017-09-19 | 国网上海市电力公司 | A kind of distribution network planning method managed based on overall life cycle cost |
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| CN102055196A (en) * | 2010-12-20 | 2011-05-11 | 南京软核科技有限公司 | 10 kv-distribution network reactive power compensation optimization method in power system |
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| CN102055196A (en) * | 2010-12-20 | 2011-05-11 | 南京软核科技有限公司 | 10 kv-distribution network reactive power compensation optimization method in power system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106208110A (en) * | 2016-08-31 | 2016-12-07 | 中国电力科学研究院 | A kind of screening technique of distribution network var compensation optimal allocation strategy |
| CN106208110B (en) * | 2016-08-31 | 2022-06-07 | 中国电力科学研究院 | Method for screening optimal configuration strategy of reactive power compensation of power distribution network |
| CN107171311A (en) * | 2017-05-09 | 2017-09-15 | 广东电网有限责任公司汕头供电局 | A kind of choice of distribution transformer method and device based on life period of an equipment minimum charge |
| CN107180303A (en) * | 2017-05-12 | 2017-09-19 | 国网上海市电力公司 | A kind of distribution network planning method managed based on overall life cycle cost |
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Application publication date: 20151216 |