CN107025520A - Double-layer second-order cone planning method and system for determining new energy consumption capability of power distribution network - Google Patents

Double-layer second-order cone planning method and system for determining new energy consumption capability of power distribution network Download PDF

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CN107025520A
CN107025520A CN201710217753.1A CN201710217753A CN107025520A CN 107025520 A CN107025520 A CN 107025520A CN 201710217753 A CN201710217753 A CN 201710217753A CN 107025520 A CN107025520 A CN 107025520A
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power
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罗煜
吴杰康
郭清元
莫超
林少华
曾伟忠
司徒友
沙斌
陈嘉威
邱泽坚
廖键
廖一键
王正卿
徐宏海
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Dongguan Power Supply Bureau of Guangdong Power Grid Co Ltd
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Abstract

The invention provides a double-layer second-order cone planning method and a double-layer second-order cone planning system for determining new energy consumption capacity of a power distribution network, which are used for calculating the maximum output power of the power distribution network within a dispatching cycle according to the real-time maximum output power condition of a distributed power supply, reflecting the influence mechanism of uncertainty of the output power of the distributed power supply on the voltage distribution and reactive power flow of the power distribution network according to active power resources and reactive power resources which can participate in dispatching of the power distribution network, coordinating various active and reactive power resources which can participate in dispatching of the power distribution network to fully consume the distributed power supply, acquiring constraint conditions which need to be met by safe operation of the power distribution network based on an objective function planned at the upper layer in the power distribution network and an objective function planned at the lower layer, solving a planning decision variable at the upper layer in the power distribution network, and the solving result of the lower-layer planning decision variable is fed back to the middle-layer and upper-layer planning decision variables of the power distribution network, and finally the distributed power supply absorption capacity of the power distribution network is accurately determined.

Description

The double-deck Second-order cone programming method and system that power distribution network new energy digestion capability is determined
Technical field
The present invention relates to electric power network technical field, the bilayer two that more particularly to power distribution network new energy digestion capability is determined Rank bores planing method and system.
Background technology
The sustainable growth of electricity needs, the shortage of traditional energy and the opening of electricity market just driving power network towards efficiently, Flexibly, intelligent and sustainable mode develops, to adapt to the technical need in future.Sustainability is the foundation characteristic of following power network, Its essence shows as the scale access and application of distributed power source especially regenerative resource.Distributed power generation develops in recent years Rapidly, its influence to distribution network voltage will be from the aspect of two.First after access distributed power source, under steady state conditions, meeting So that increased along the voltage at each load bus of feeder line, or even the voltage of some nodes can exceed the upper limit, and user is produced Raw influence, but distributed power source is exited so that the feeder voltage drop that is supported by distributed power source, brings the quality of power supply Problem, so distributed power source access power distribution network will carry out pressure regulation.Secondly it can change to a certain extent after distributed power source access The idle deficiency of kind power distribution network, but some distributed power sources can not only provide reactive power, and reactive power can be consumed on the contrary, So distributed power source access power distribution network is also required to carry out certain reactive-load compensation.In actual motion, distribution voltage can also be by The influence constantly changed to load, in order to avoid working voltage is too high or too low, reactive-load compensation is not enough or superfluous, just must be not The corresponding adjustment voltage & var control strategy with load level, so that the voltage and reactive power in power distribution network are rationally controlled And optimization.
When large-scale distributed power supply is connected to the grid, randomness, the uncertain and fluctuation exerted oneself due to it so that It has larger role and influence for system to electricity, be mainly manifested in for the stability of a system, the quality of power supply, peak modulation capacity, It is notable that the influence of dispatching of power netwoks, system reserve etc. is skilful.It is big just because of the grid-connected influence for power network of distributed power source, make It must need to exert oneself to distributed power source and carry out the stability and high efficiency operating of control and limitation guarantee power system to a certain extent, so that Promote the coordination of power industry fast-developing.In recent years, photovoltaic generation proportion in China's power supply architecture is increasingly increased, and is made Its influence to power system stability high-efficiency operation is increasing.In the resourceful area of some illumination, photovoltaic generation Contradiction between fast-developing and power system stability high-efficiency operation increasingly ingeniously goes out, and occurs in that the increasing phenomenon for abandoning light.It is existing Stage, the distributed power source amount of dissolving ability determines that hardly possible has become the bottleneck for hindering New Energy Sources In China cause fast turn-around.
The content of the invention
Based on this, it is necessary to which for the doubt problem of distributed power source digestion capability, there is provided a kind of power distribution network new energy The double-deck Second-order cone programming method and system that digestion capability is determined.
A kind of double-deck Second-order cone programming method that power distribution network new energy digestion capability is determined, including step:
Power distribution network customer charge data are obtained, and analyze active power resource and reactive power that power distribution network may participate in scheduling Resource;
Calculate peak power output of the electricity generation system under real-time ambient conditions in power distribution network;
The active power resource and reactive power resources of scheduling may participate according to power distribution network and obtained power distribution network is calculated Peak power output of the middle electricity generation system under real-time ambient conditions, the object function that acquisition power distribution network is planned at the middle and upper levels is with The object function of layer planning;
Obtain the constraints that electric power netting safe running needs to meet;
The object function planned at the middle and upper levels according to power distribution network and the object function and constraints of lower floor's planning, solution are matched somebody with somebody Power network lower floor's programmed decision-making variable in programmed decision-making variable and power distribution network at the middle and upper levels, power distribution network programmed decision-making variable bag at the middle and upper levels Include the actual power of dissolving of distributed power source;
The solving result of lower floor's programmed decision-making variable in power distribution network is fed back into power distribution network programmed decision-making variable at the middle and upper levels, sentenced Whether the solving result of lower floor's programmed decision-making variable meets the requirement of power distribution network programmed decision-making variable at the middle and upper levels in disconnected power distribution network.
The double-deck Second-order cone programming system that a kind of power distribution network new energy digestion capability is determined, including:
Parameter analysis module, the active of scheduling is may participate in for obtaining power distribution network customer charge data, and analyzing power distribution network Power resource and reactive power resources;
Power computation module, for calculating maximum work output of the electricity generation system under real-time ambient conditions in power distribution network Rate;
Object function acquisition module, active power resource and reactive power resources for may participate in scheduling according to power distribution network And peak power output of the electricity generation system under real-time ambient conditions in obtained power distribution network is calculated, obtain in power distribution network The object function of layer planning and the object function of lower floor's planning;
Constraints acquisition module, the constraints met for obtaining electric power netting safe running to need;
Decision variable solves module, the target letter planned for the object function planned at the middle and upper levels according to power distribution network and lower floor Number and constraints, solve power distribution network lower floor's programmed decision-making variable, distribution in programmed decision-making variable and power distribution network at the middle and upper levels Programmed decision-making variable includes the actual power of dissolving of distributed power source to net at the middle and upper levels;
Judge module is fed back, the solving result of lower floor's programmed decision-making variable in power distribution network is fed back into power distribution network and advised at the middle and upper levels Decision variable is drawn, judges whether the solving result of lower floor's programmed decision-making variable in power distribution network meets power distribution network programmed decision-making at the middle and upper levels The requirement of variable.
The double-deck Second-order cone programming method and system that power distribution network new energy digestion capability of the present invention is determined, according to distributed electrical The situation of the real-time EIAJ in source, calculating the power distribution network within dispatching cycle can dissolve the peak power output of distributed power source, The active power resource and reactive power resources of scheduling, the uncertainty that reflection distributed power source is exerted oneself are may participate according to power distribution network To distribution network voltage distribution and the Influencing Mechanism of reactive power flow, coordinate the various active and reactive power that power distribution network may participate in scheduling Resource can fully dissolve distributed power source, and the object function planned at the middle and upper levels based on power distribution network and the target letter of lower floor's planning Number, obtains the constraints that electric power netting safe running needs to meet, and solving power distribution network, programmed decision-making variable is planned with lower floor at the middle and upper levels Decision variable, that is, calculate and obtain power distribution network distributed power source digestion capability, and using the solving result of lower floor's programmed decision-making variable Power distribution network programmed decision-making variable at the middle and upper levels is fed back to, final accurate determination power distribution network distributed power source digestion capability.
Brief description of the drawings
Fig. 1 is the double-deck one of embodiment of Second-order cone programming method that power distribution network new energy digestion capability of the present invention is determined Schematic flow sheet;
Fig. 2 is distribution network system structural representation;
Fig. 3 is that the one of application of double-deck Second-order cone programming method that power distribution network new energy digestion capability of the present invention is determined is real The schematic flow sheet of example;
Fig. 4 is the double-deck one of embodiment of Second-order cone programming system that power distribution network new energy digestion capability of the present invention is determined Structural representation.
Embodiment
Mathematically, dual layer resist is the mathematical modeling of two-stage decision problem, be it is a kind of there is two layers of hierarchical structure be System optimization problem.Respectively there are object function and constraints, the object function and constraints of upper strata planning problem in the upper and lower It is not only relevant with the decision variable on upper strata, but also dependent on the optimal solution or optimal value of lower floor's planning problem.Lower floor's planning is asked The optimal solution of topic is influenceed by upper strata decision variable again, and it is solved or optimal value feeds back to upper strata and influences upper strata planning problem most Excellent solution.The distributed power source amount of dissolving problem is typical nonlinear programming problem, with non-linear, small continuous, uncertain factor More the features such as.The research method for problem of being dissolved for distributed power source, traditional mathematic programming methods mainly have non-linear rule Draw method and linear programming technique etc..When solving the problem of distributed power source is dissolved using conventional algorithm the main difficulty that runs into be exactly from Dissipate the consolidation problem and multimodal multi-extreme value problem of variable.Second-order cone programming be limited second order cone cartesian product it is affine Minimized on intersection subspace collection or maximize a linear function, i.e., imported in the sharp convex cone of non-NULL under partial order, linear equality, line The problem of linear objective function under the conditions of property inequality constraints.Further, can be by the way that complicated Optimized model be turned Based On The Conic Model is melted into, can be simplified the solution of master mould relation complicated between variable with the cone set representations of special construction, accelerate to receive Hold back speed.
Based on above-mentioned principle, the present invention provides the double-deck Second-order cone programming side that a kind of power distribution network new energy digestion capability is determined Method, as shown in figure 1, it includes step:
S100:Power distribution network customer charge data are obtained, and analyze active power resource and nothing that power distribution network may participate in scheduling Work(power resource.
User is obtained from energy management system EMS (Energy Management System, electric energy management system) Electricity consumption data, including:The real-time active-power P of all load buses in power distribution networkDi.tAnd reactive power QDi.t, i=1,2 ..., N, n are the nodes in power distribution network.The resource data that may participate in operation of power networks scheduling is obtained from energy management system EMS, Including:Each node can participate in the maximum of external electric equipment (electric automobile) charge-discharge electric power of scheduling in real time in power distribution networkAnd minimum valueP EVi.t, energy storage device can participate in the suction of scheduling in real time and put the maximum of active powerAnd minimum valueP DSi.t, energy storage device can participate in the suction of scheduling in real time and put the maximum of reactive powerAnd minimum valueQ DSi.tReactive-load compensation is filled Put can Real-Time Scheduling capacity maximumAnd minimum valueQ Ci.t
S200:Calculate peak power output of the electricity generation system under real-time ambient conditions in power distribution network.
Whole power distribution network is traveled through, the current real-time running state of electricity generation system in whole power distribution network is checked, finally calculates and match somebody with somebody Peak power output of the electricity generation system under real-time ambient conditions in power network.Electricity generation system is photovoltaic generation system using in power distribution network Exemplified by system (photovoltaic generating system is generally distributed), all photovoltaic generation systems from photovoltaic generation Surveillance center acquisition system The service data of system, including:T photovoltaic power generation plate maximum power point electric current IMPPi.t, photovoltaic power generation plate maximum power point voltage VMPPi.tWith sunlight wavelength λi.t, calculate real-time maximum power generationFor:
In formula, i ∈ ΨDG, ΨDGTo access DG set of node, ρ (λ in systemi.t) it is a length of λ of sunlight wavei.tThe sun Can power density.
S300:According to power distribution network may participate in scheduling active power resource and reactive power resources and calculate obtain match somebody with somebody Peak power output of the electricity generation system under real-time ambient conditions in power network, obtains the object function that power distribution network is planned at the middle and upper levels The object function planned with lower floor.
Based on step S100 analyze obtained power distribution network may participate in the active power resource and reactive power resources of scheduling with And step S200 calculates peak power output of the electricity generation system under real-time ambient conditions in obtained power distribution network, determines distribution Object function and the object function of lower floor's planning that net is planned at the middle and upper levels.Specifically, the target of distribution web tier planning is rush Enter distributed power source to dissolve, object function FUCan be:
In formula, PDGi.tFor the power of actually dissolving of the photovoltaic generating system at t node i.The planning of power distribution network lower floor Target is best for the active and reactive-load compensation economy for reducing system power dissipation and system, its object function FLCan be:
FL=min (f1+f2)
In formula, sub-goal f1For power distribution network power attenuation, sub-goal f2For system active and reactive-load compensation equipment investment and The expense of operation.Further, power distribution network power attenuation f1Specific formula it is as follows:
The active and reactive-load compensation equipment investment of system and the expense f of operation2Specific formula it is as follows:
In formula, nCAnd nDSIt is that the node total number for being provided with reactive-load compensation capacitor group and the node for being provided with energy storage device are total Number,WithFor the cost of investment coefficient and operating cost coefficient of reactive-load compensation capacitor group,For reactive-load compensation capacitor group Investment installed capacity,WithThe respectively cost of investment of the active and reactive capacity of energy storage device Coefficient and operating cost coefficient,The investment installed capacity for being placed with work(and reactive power can be inhaled for energy storage device.
S400:Obtain the constraints that electric power netting safe running needs to meet.
The related data of operation of power networks is obtained from energy management system EMS, specifically, related data includes:It is negative Real-time burden with power maximum on lotus nodeAnd minimum valueP Di.t, real-time load or burden without work maximumAnd minimum valueQ Di.t, the maximum of the real-time active power of output of distributed power sourceAnd minimum valueP DGi.t, node voltage amplitude is in real time most Big valueAnd minimum valueV i.t, the real-time maximum of current amplitudeAnd minimum valueI ji.t, electric power netting safe running needs satisfaction Constraints is specially:
S500:The object function planned at the middle and upper levels according to power distribution network and the object function and constraints of lower floor's planning, Solve power distribution network lower floor's programmed decision-making variable, power distribution network programmed decision-making at the middle and upper levels in programmed decision-making variable and power distribution network at the middle and upper levels Variable includes the actual power of dissolving of distributed power source.
Object function based on the step S300 object functions planned at the middle and upper levels of power distribution network obtained and lower floor's planning and The constraints for the electric power netting safe running that step S400 is obtained, solves power distribution network at the middle and upper levels in programmed decision-making variable and power distribution network Lower floor's programmed decision-making variable, in power distribution network, programmed decision-making variable includes the actual power P of dissolving of distributed power source at the middle and upper levelsDGi.t.More Specifically, in power distribution network, programmed decision-making variable also includes at the middle and upper levels:The switching capacity Q of reactive-load compensation capacitor groupCi.t, energy storage Active-power P is put in the suction of equipmentDSi.tAnd reactive power QDSi.tAnd the charge-discharge electric power of external electric equipment (electric automobile) PEVi.t.Step S500 has calculated power distribution network, and programmed decision-making variable includes the actual power of dissolving of distributed power source at the middle and upper levels, Clearly determine power distribution network actual digestion capability of distributed power source under real-time ambient conditions.
S600:The solving result of lower floor's programmed decision-making variable in power distribution network is fed back into power distribution network, and programmed decision-making becomes at the middle and upper levels Amount, judge lower floor's programmed decision-making variable in power distribution network solving result whether meet power distribution network at the middle and upper levels programmed decision-making variable want Ask.
In practical operation, the result for solving the decision variable for calculating lower floor's planning is fed back into upper strata planning, under judgement Whether the result that layer planning is calculated meets the requirement of upper strata planning.In one of the embodiments, if meeting, this period Interior coordination control is completed, and the device action in the output control correspondence system calculated is planned by lower floor;If it is not satisfied, then Its optimized scope is adjusted by adjusting the offset of decision variable in lower floor's planning, is calculated again
The double-deck Second-order cone programming method and system that power distribution network new energy digestion capability of the present invention is determined, according to distributed electrical The situation of the real-time EIAJ in source, calculating the power distribution network within dispatching cycle can dissolve the peak power output of distributed power source, The active power resource and reactive power resources of scheduling, the uncertainty that reflection distributed power source is exerted oneself are may participate according to power distribution network To distribution network voltage distribution and the Influencing Mechanism of reactive power flow, coordinate the various active and reactive power that power distribution network may participate in scheduling Resource can fully dissolve distributed power source, and the object function planned at the middle and upper levels based on power distribution network and the target letter of lower floor's planning Number, obtains the constraints that electric power netting safe running needs to meet, and solving power distribution network, programmed decision-making variable is planned with lower floor at the middle and upper levels Decision variable, that is, calculate and obtain power distribution network distributed power source digestion capability, and using the solving result of lower floor's programmed decision-making variable Power distribution network programmed decision-making variable at the middle and upper levels is fed back to, final accurate determination power distribution network distributed power source digestion capability.
In one of the embodiments, the object function planned at the middle and upper levels according to power distribution network and the object function of lower floor's planning And constraints, solve power distribution network and wrapped at the middle and upper levels the step of lower floor's programmed decision-making variable in programmed decision-making variable and power distribution network Include:
Step one:Introduce the object function of intermediate variable, the object function that power distribution network is planned at the middle and upper levels and lower floor's planning The object function of middle non-linear form changes into the object function of linear forms, and search space is limited in limited convex cone model In enclosing.
It is introduced into nonlinear functional relation in the object function that intermediate variable plans power distribution network at the middle and upper levels and is converted into line The functional relation of property, search space is limited in the range of limited convex cone, the intermediate variable of introducing is:
It is non-essential, it is also based on the power distribution network object function planned at the middle and upper levels and the parameter obtained builds number Model is learned, that is, builds the mathematical modeling that dual layer resist is two-stage decision problem.Introduce after variable, the target of power distribution network lower floor planning The minimum object function of power attenuation is non-linear form in function, and being converted into linear forms is:
It is introduced into after variable and the search space in solution procedure is limited in limited convex cone domain, the convex cone domain of formation is:
(2Pji.t)2+(2Qji.t)2+(Yji.t-Xji.t)2≤(Yji.t+Xji.t)。
Step 2:Intermediate variable based on introducing, the constraints conversion of non-linear form in constraints is linear The constraints of form.
Introduce after variable, the linear form of electric network swim constraints conversion is in constraints:
Step 3:The object function and the constraint bar of linear forms planned at the middle and upper levels according to the power distribution network of linear forms Part, solves power distribution network programmed decision-making variable at the middle and upper levels, the object function planned according to lower floor in the power distribution network of linear forms and The constraints of linear forms, solves lower floor's programmed decision-making variable in power distribution network.
It is non-essential, it can be solved using MOSEK7.1 solvers using branch-and-bound-prim al- dual interior point m ethod in calculating The decision variable of layer planning, including:The actual power P of dissolving of distributed power sourceDGi.t, reactive-load compensation capacitor group switching capacity QCi.t, energy storage device suction be placed with work(and reactive power PDSi.t、QDSi.tWith the charge-discharge electric power P of electric automobileEVi.t, set respectively Determine regulating power bound, give the offset of decision variable in corresponding lower floor's planning:ΔPDGi.t、ΔQCi.t、ΔPDSi.t、Δ QDSi.t、ΔPEVi.t, adjustable range is passed into lower floor's programming evaluation, the adjustable range difference of each decision variable in lower floor's planning For:
In addition, calculating lower floor rule can be equally solved using branch-and-bound-prim al- dual interior point m ethod with MOSEK7.1 solvers The decision variable drawn.
In order to further explain in detail the double-deck Second-order cone programming side that power distribution network new energy digestion capability of the present invention is determined The technical scheme of method and its beneficial effect brought, will use concrete application example below, and it is detailed to combine Fig. 2 and Fig. 3 progress Describe in detail bright.
In concrete application example, distribution network system is the system of 10kV voltage class, and is made up of n load bus, leads to Cross a feeder line to be connected with upper level step down side, it is assumed that load power, distributed power source access work(on i-th of node Power, the charge-discharge electric power of electric automobile, voltage amplitude are put in rate, the switching capacity of reactive-load compensation capacitor group, the suction of energy storage device Value is respectively SDi、SDGi、QCi、SDSi、SEViAnd Vi.Load power maximum and minimum value on i-th of node are respectively S Di, the maximum and minimum value of distributed power source access power are respectively S DGi, reactive-load compensation capacitor group switching capacity Maximum and minimum value be respectively Q Ci, energy storage device, which is inhaled, to be put the maximum and minimum value of power and is respectively S DSi, The maximum and minimum value of electric automobile charge-discharge electric power be not S EVi, the maximum and minimum value of voltage magnitude are respectively V i.It is that each node meets power in electric power netting safe running, power network to promote the precedence constraint dissolved of power distribution network distributed power source Equilibrium relation and trend equality constraint relation.
Specifically as shown in Fig. 2 in Fig. 2,1 is 110kV main transformer of transformer substation high-voltage side bus;2 be main transformer high-voltage Side power;3 be main transformer impedance;4 be main step down side power;5 be main transformer loss;6 be 110kV power transformation station owners Transformer low voltage side bus;7 have 1 distribution branch line for the 10kV sides of main transformer low voltage side bus, and its injecting power is;8 are The reactive-load compensation capacitor group accessed on main transformer low-pressure side bus;9 be the energy storage accessed on main transformer low voltage side bus Equipment;10 be the load on main transformer low voltage side bus;11 be the distributed power source accessed on main transformer low voltage side bus; 12 be the electric automobile accessed on main transformer low voltage side bus;13 be i-th of node on 10kV distribution lines;14 be node There is 1 distribution branch line on i, its injecting power is;15 be the reactive-load compensation capacitor group accessed in node i;16 be to be connect in node i The energy storage device entered;17 be the load accessed in node i;18 be the distributed power source accessed in node i;19 be to be connect in node i The electric automobile entered;20 be distribution line ij head end power;21 be the line loss on distribution line ij;22 be distribution line Ij end power;23 be distribution line end.Wherein i=1,2 ..., n.
As shown in figure 3, in wherein one instantiation, the bilayer two that power distribution network new energy digestion capability of the present invention is determined Rank bores planing method, including step:
S1, from energy management system EMS obtain user power utilization data, including:All load buses in power distribution network Real-time active-power PDi.tAnd reactive power QDi.t, i=1,2 ..., n, n be power distribution network in nodes.
S2, from energy management system EMS obtain may participate in operation of power networks scheduling resource data, including:Power distribution network In each node can participate in real time scheduling external electric equipment (electric automobile) charge-discharge electric power maximumAnd minimum valueP EVi.t, energy storage device can participate in the suction of scheduling in real time and put the maximum of active powerAnd minimum valueP DSi.t, energy storage device can The maximum of reactive power is put in the suction for participating in scheduling in real timeAnd minimum valueQ DSi.t, reactive power compensator can Real-Time Scheduling The maximum of capacityAnd minimum valueQ Ci.t
S3, from photovoltaic generation Surveillance center acquisition system all photovoltaic generating systems service data, including:T Photovoltaic power generation plate maximum power point electric current IMPPi.t, photovoltaic power generation plate maximum power point voltage VMPPi.tWith sunlight wavelength λi.t, meter Calculate real-time maximum power generationFor:
In formula, i ∈ ΨDG, ΨDGTo access DG set of node, ρ (λ in systemi.t) it is a length of λ of sunlight wavei.tThe sun Can power density.
S4, the target of distribution web tier planning is promote distributed power source to dissolve, object function FUCan be:
In formula, PDGi.tFor the power of actually dissolving of the photovoltaic generating system at t node i.
S5, the target of power distribution network lower floor planning are reduction system power dissipation and the active and reactive-load compensation economy of system Preferably, its object function FLCan be:
FL=min (f1+f2)
In formula, sub-goal f1For power distribution network power attenuation, sub-goal f2For system active and reactive-load compensation equipment investment and The expense of operation.
S6, the related data from energy management system EMS acquisition operations of power networks, particularly relevant data include:Load Real-time burden with power maximum on nodeAnd minimum valueP Di.t, real-time load or burden without work maximumAnd minimum valueQ Di.t, the maximum of the real-time active power of output of distributed power sourceAnd minimum valueP DGi.t, node voltage amplitude is in real time most Big valueAnd minimum valueV i.t, the real-time maximum of current amplitudeAnd minimum valueI ji.t, electric power netting safe running needs satisfaction Constraints is specially:
S7, it is introduced into nonlinear functional relation in the object function that intermediate variable plans power distribution network at the middle and upper levels and is converted into Linear functional relation, search space is limited in the range of limited convex cone, and the intermediate variable of introducing is:
After S8, introducing variable, the minimum object function of power attenuation is non-thread in the object function of power distribution network lower floor planning Property form, being converted into linear forms is:
After S9, introducing variable, the linear form of electric network swim constraints conversion is in constraints:
S10, it is introduced into after variable the search space in solution procedure is limited in limited convex cone domain, the convex cone domain of formation For:
(2Pji.t)2+(2Qji.t)2+(Yji.t-Xji.t)2≤(Yji.t+Xji.t)。
S11, using MOSEK7.1 solvers solved using branch-and-bound-prim al- dual interior point m ethod calculate upper strata planning certainly Plan variable, including:The actual power P of dissolving of distributed power sourceDGi.t, reactive-load compensation capacitor group switching capacity QCi.t, energy storage sets Standby suction is placed with work(and reactive power PDSi.t、QDSi.tWith the charge-discharge electric power P of electric automobileEVi.t, set respectively on regulating power Lower limit, gives the offset of decision variable in corresponding lower floor's planning:ΔPDGi.t、ΔQCi.t、ΔPDSi.t、ΔQDSi.t、Δ PEVi.t, adjustable range is passed into lower floor's programming evaluation, the adjustable range of each decision variable is respectively in lower floor's planning:
S12, using MOSEK7.1 solvers solved using branch-and-bound-prim al- dual interior point m ethod calculate lower floor planning certainly Plan variable, will obtain result and feeds back to upper strata planning, judge whether the result that lower floor's planning is calculated meets upper strata planning It is required that, if so, then the coordination control in this period is completed, setting in the output control correspondence system calculated is planned by lower floor Standby action;Otherwise its optimized scope is adjusted by adjusting the offset of decision variable in lower floor's planning, is calculated again.
The double-deck Second-order cone programming method that power distribution network new energy digestion capability of the present invention is determined, it is real-time according to distributed power source The situation of EIAJ, calculating the power distribution network within dispatching cycle can dissolve the peak power output of distributed power source, according to Power network may participate in the active power resource and reactive power resources of scheduling, and the uncertainty that reflection distributed power source is exerted oneself is to distribution The Influencing Mechanism of net voltage's distribiuting and reactive power flow, the various active and reactive power resources that coordination power distribution network may participate in scheduling can Fully dissolve distributed power source, and the object function planned at the middle and upper levels based on power distribution network and the object function of lower floor's planning, obtain Take electric power netting safe running to need the constraints met, solve power distribution network programmed decision-making variable and lower floor's programmed decision-making change at the middle and upper levels Amount, that is, calculated and obtain power distribution network distributed power source digestion capability, and fed back to using the solving result of lower floor's programmed decision-making variable Power distribution network programmed decision-making variable at the middle and upper levels, it is final accurate to determine power distribution network distributed power source digestion capability.
As shown in figure 4, the double-deck Second-order cone programming system that a kind of power distribution network new energy digestion capability is determined, including:
Parameter analysis module 100, having for scheduling is may participate in for obtaining power distribution network customer charge data, and analyzing power distribution network Work(power resource and reactive power resources.
Power computation module 200, for calculating maximum output of the electricity generation system under real-time ambient conditions in power distribution network Power.
Object function acquisition module 300, active power resource and reactive power for may participate in scheduling according to power distribution network Peak power output of the electricity generation system under real-time ambient conditions in the power distribution network that resource and calculating are obtained, obtains power distribution network The object function planned at the middle and upper levels and the object function of lower floor's planning.
Constraints acquisition module 400, the constraints met for obtaining electric power netting safe running to need.
Decision variable solves module 500, the mesh planned for the object function planned at the middle and upper levels according to power distribution network and lower floor Scalar functions and constraints, solve power distribution network lower floor's programmed decision-making variable in programmed decision-making variable and power distribution network at the middle and upper levels, Programmed decision-making variable includes the actual power of dissolving of distributed power source to power distribution network at the middle and upper levels;
Judge module 600 is fed back, for the solving result of lower floor's programmed decision-making variable in power distribution network to be fed back into power distribution network Programmed decision-making variable, judges whether the solving result of lower floor's programmed decision-making variable in power distribution network meets power distribution network at the middle and upper levels at the middle and upper levels The requirement of programmed decision-making variable.
The double-deck Second-order cone programming system that power distribution network new energy digestion capability of the present invention is determined, Parameter analysis module 100 According to the situation of the real-time EIAJ of distributed power source, power computation module 200 calculates the power distribution network within dispatching cycle and can dissolved The peak power output of distributed power source, the active power that object function acquisition module 300 may participate in scheduling according to power distribution network is provided Source and reactive power resources, it is uncertain to distribution network voltage distribution and the influence of reactive power flow that reflection distributed power source is exerted oneself Mechanism, coordinates power distribution network and may participate in the various active and reactive power resources of scheduling can fully to dissolve distributed power source, and base The object function planned at the middle and upper levels in power distribution network and the object function of lower floor's planning, constraints acquisition module 400 obtain power network Safe operation need meet constraints, decision variable solve module 500 solve power distribution network at the middle and upper levels programmed decision-making variable with Lower floor's programmed decision-making variable, that is, calculate and obtain power distribution network distributed power source digestion capability, feedback judge module 600 is advised using lower floor The solving result for drawing decision variable feeds back to power distribution network programmed decision-making variable at the middle and upper levels, final accurate determination power distribution network distributed electrical Source digestion capability.
In one of the embodiments, decision variable solves module and included:
First linear conversion unit, the object function for planning power distribution network at the middle and upper levels for introducing intermediate variable and lower floor The object function of non-linear form changes into the object function of linear forms in the object function of planning, and search space is limited In the range of limited convex cone.
Second linear transfor unit, for the intermediate variable based on introducing, by the constraint of non-linear form in constraints Condition changes into the constraints of linear forms.
Unit is solved, for the object function and the pact of linear forms planned at the middle and upper levels according to the power distribution network of linear forms Beam condition, solves power distribution network programmed decision-making variable at the middle and upper levels, the object function planned according to lower floor in the power distribution network of linear forms And the constraints of linear forms, solve lower floor's programmed decision-making variable in power distribution network.
In one of the embodiments, the double-deck Second-order cone programming system that power distribution network new energy digestion capability of the present invention is determined Also include:
First processing module, for meeting power distribution network at the middle and upper levels when the solving result of lower floor's programmed decision-making variable in power distribution network During the requirement of programmed decision-making variable, according to device action in lower floor's programmed decision-making Variable Control power distribution network in power distribution network.
Second processing module, for being unsatisfactory for when the solving result of lower floor's programmed decision-making variable in power distribution network in power distribution network During the requirement of layer programmed decision-making variable, adjusted by adjusting the offset in power distribution network lower floor programmed decision-making variable under power distribution network Layer programmed decision-making variable optimized scope, and control decision variable solution module solves lower floor's programmed decision-making change in power distribution network again Amount.
In one of the embodiments, object function acquisition module 300 includes:
Upper strata object function unit, for the distribution web tier object of planning to be promoted to target when distributed power source is dissolved The object function that function is planned at the middle and upper levels as power distribution network;
Lower floor's object function unit, for the power distribution network lower floor object of planning to be reduced into having for system power dissipation and system Work(and reactive-load compensation economy preferably when object function as in power distribution network lower floor plan object function.
In one of the embodiments, decision variable solves the mesh that module 500 is additionally operable to plan at the middle and upper levels according to power distribution network Scalar functions and the object function and constraints of lower floor's planning, by branch-and-bound-prim al- dual interior point m ethod, are solved in power distribution network Lower floor's programmed decision-making variable in upper strata programmed decision-making variable and power distribution network.
Above example only expresses the several embodiments of the present invention, and it describes more specific and detailed, but can not Therefore it is construed as limiting the scope of the patent.It should be pointed out that for the person of ordinary skill of the art, On the premise of not departing from present inventive concept, various modifications and improvements can be made, these belong to protection scope of the present invention. Therefore, the protection domain of patent of the present invention should be determined by the appended claims.

Claims (10)

1. a kind of double-deck Second-order cone programming method that power distribution network new energy digestion capability is determined, it is characterised in that including step:
Power distribution network customer charge data are obtained, and analyze active power resource and reactive power money that power distribution network may participate in scheduling Source;
Calculate peak power output of the electricity generation system under real-time ambient conditions in power distribution network;
It may participate in the active power resource and reactive power resources of scheduling according to power distribution network and calculate in obtained power distribution network and send out Peak power output of the electric system under real-time ambient conditions, obtains object function and lower floor's rule that power distribution network is planned at the middle and upper levels The object function drawn;
Obtain the constraints that electric power netting safe running needs to meet;
The object function planned at the middle and upper levels according to power distribution network and the object function and the constraints of lower floor's planning, solution are matched somebody with somebody Power network lower floor's programmed decision-making variable in programmed decision-making variable and power distribution network at the middle and upper levels, programmed decision-making becomes the power distribution network at the middle and upper levels Amount includes the actual power of dissolving of distributed power source;
The solving result of lower floor's programmed decision-making variable in the power distribution network is fed back into the power distribution network, and programmed decision-making becomes at the middle and upper levels Amount, judges whether the solving result of lower floor's programmed decision-making variable in the power distribution network meets power distribution network programmed decision-making at the middle and upper levels The requirement of variable.
2. the double-deck Second-order cone programming method that power distribution network new energy digestion capability according to claim 1 is determined, its feature It is, the object function and the constraints of the object function planned at the middle and upper levels according to power distribution network and lower floor's planning, Solve power distribution network includes in programmed decision-making variable and power distribution network the step of lower floor's programmed decision-making variable at the middle and upper levels:
Introduce non-linear in intermediate variable, the object function that the object function that the power distribution network is planned at the middle and upper levels and lower floor plan The object function of form changes into the object function of linear forms, and search space is limited in the range of limited convex cone;
Intermediate variable based on introducing, the constraints of non-linear form in the constraints is changed into the pact of linear forms Beam condition;
The object function and the constraints of linear forms planned at the middle and upper levels according to the power distribution network of linear forms, solution are matched somebody with somebody Power network programmed decision-making variable at the middle and upper levels, the object function and line planned according to lower floor in the power distribution network of the linear forms Property form constraints, solve power distribution network in lower floor's programmed decision-making variable.
3. the double-deck Second-order cone programming method that power distribution network new energy digestion capability according to claim 1 or 2 is determined, it is special Levy and be, the solving result by lower floor's programmed decision-making variable in the power distribution network feeds back to the power distribution network and planned at the middle and upper levels Decision variable, judges whether the solving result of lower floor's programmed decision-making variable in the power distribution network meets the power distribution network and advise at the middle and upper levels Also include after the step of drawing the requirement of decision variable:
If the solving result of lower floor's programmed decision-making variable meets power distribution network programmed decision-making variable at the middle and upper levels in the power distribution network Requirement, then according to device action in lower floor's programmed decision-making Variable Control power distribution network in the power distribution network;
If the solving result of lower floor's programmed decision-making variable is unsatisfactory for power distribution network programmed decision-making change at the middle and upper levels in the power distribution network The requirement of amount, then adjust the power distribution network lower floor rule by adjusting the offset in the power distribution network lower floor programmed decision-making variable Draw decision variable optimized scope, and return it is described solution power distribution network in lower floor's programmed decision-making variable the step of.
4. the double-deck Second-order cone programming method that power distribution network new energy digestion capability according to claim 1 or 2 is determined, it is special Levy and be, it is described obtain the object function planned at the middle and upper levels of power distribution network and lower floor's planning object function the step of include:
Object function when the distribution web tier object of planning is dissolved for promotion distributed power source is planned at the middle and upper levels as power distribution network Object function;
During by the power distribution network lower floor object of planning to reduce the active and reactive-load compensation economy of system power dissipation and system preferably Object function as in power distribution network lower floor plan object function.
5. the double-deck Second-order cone programming method that power distribution network new energy digestion capability according to claim 1 or 2 is determined, it is special Levy and be, the object function and the constraint bar of the object function planned at the middle and upper levels according to power distribution network and lower floor's planning Part, solve power distribution network includes in programmed decision-making variable and power distribution network the step of lower floor's programmed decision-making variable at the middle and upper levels:
The object function planned at the middle and upper levels according to power distribution network and the object function and the constraints of lower floor's planning, by dividing Branch demarcation-prim al- dual interior point m ethod, solves power distribution network lower floor's programmed decision-making variable in programmed decision-making variable and power distribution network at the middle and upper levels.
6. the double-deck Second-order cone programming system that a kind of power distribution network new energy digestion capability is determined, it is characterised in that including:
Parameter analysis module, for obtaining power distribution network customer charge data, and analyzes the active power that power distribution network may participate in scheduling Resource and reactive power resources;
Power computation module, for calculating peak power output of the electricity generation system under real-time ambient conditions in power distribution network;
Object function acquisition module, for may participate according to power distribution network scheduling active power resource and reactive power resources and Peak power output of the electricity generation system under real-time ambient conditions in obtained power distribution network is calculated, power distribution network is obtained and advises at the middle and upper levels The object function drawn and the object function of lower floor's planning;
Constraints acquisition module, the constraints met for obtaining electric power netting safe running to need;
Decision variable solves module, the object function planned for the object function planned at the middle and upper levels according to power distribution network and lower floor with And the constraints, power distribution network lower floor's programmed decision-making variable in programmed decision-making variable and power distribution network at the middle and upper levels is solved, it is described Programmed decision-making variable includes the actual power of dissolving of distributed power source to power distribution network at the middle and upper levels;
Judge module is fed back, the solving result of lower floor's programmed decision-making variable in the power distribution network is fed back in the power distribution network Layer programmed decision-making variable, judges whether the solving result of lower floor's programmed decision-making variable in the power distribution network is met in the power distribution network The requirement of upper strata programmed decision-making variable.
7. the double-deck Second-order cone programming system that power distribution network new energy digestion capability according to claim 6 is determined, its feature It is, the decision variable, which solves module, to be included:
First linear conversion unit, the object function for planning the power distribution network at the middle and upper levels for introducing intermediate variable and lower floor The object function of non-linear form changes into the object function of linear forms in the object function of planning, and search space is limited In the range of limited convex cone;
Second linear transfor unit, for the intermediate variable based on introducing, by the constraint of non-linear form in the constraints Condition changes into the constraints of linear forms;
Unit is solved, for the object function and the pact of linear forms planned at the middle and upper levels according to the power distribution network of linear forms Beam condition, solves power distribution network programmed decision-making variable at the middle and upper levels, is planned according to lower floor in the power distribution network of the linear forms The constraints of object function and linear forms, solves lower floor's programmed decision-making variable in power distribution network.
8. the double-deck Second-order cone programming system that the power distribution network new energy digestion capability according to claim 6 or 7 is determined, it is special Levy and be, in addition to:
First processing module, for being met when the solving result of lower floor's programmed decision-making variable in the power distribution network in the power distribution network It is dynamic according to equipment in lower floor's programmed decision-making Variable Control power distribution network in the power distribution network during requirement of upper strata programmed decision-making variable Make;
Second processing module, for being unsatisfactory for the power distribution network when the solving result of lower floor's programmed decision-making variable in the power distribution network At the middle and upper levels during the requirement of programmed decision-making variable, adjusted by adjusting the offset in the power distribution network lower floor programmed decision-making variable The power distribution network lower floor programmed decision-making variable optimized scope, and control the decision variable solution module to solve again in power distribution network Lower floor's programmed decision-making variable.
9. the double-deck Second-order cone programming system that the power distribution network new energy digestion capability according to claim 6 or 7 is determined, it is special Levy and be, the object function acquisition module includes:
Upper strata object function unit, for the distribution web tier object of planning to be promoted to object function when distributed power source is dissolved The object function planned at the middle and upper levels as power distribution network;
Lower floor's object function unit, for the power distribution network lower floor object of planning is reduced the active of system power dissipation and system and Reactive-load compensation economy preferably when object function as in power distribution network lower floor plan object function.
10. the double-deck Second-order cone programming system that the power distribution network new energy digestion capability according to claim 6 or 7 is determined, its It is characterised by, the decision variable solves module and is additionally operable to the object function planned at the middle and upper levels according to power distribution network and lower floor's planning Object function and the constraints, by branch-and-bound-prim al- dual interior point m ethod, solving power distribution network, programmed decision-making becomes at the middle and upper levels Lower floor's programmed decision-making variable in amount and power distribution network.
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108446809A (en) * 2018-04-09 2018-08-24 国网河南省电力公司经济技术研究院 A kind of regional complex energy device and network dual-layer optimization configuration method
CN108596373A (en) * 2018-04-09 2018-09-28 燕山大学 A kind of electricity-traffic coupling network dynamic equilibrium method for solving
CN108933448A (en) * 2018-07-09 2018-12-04 中国农业大学 A kind of low and medium voltage distribution network control method for coordinating and system containing photo-voltaic power supply
CN109523128A (en) * 2018-10-22 2019-03-26 上海理工大学 A kind of renewable energy capacity collocation method promoting consumption
CN109711728A (en) * 2018-12-27 2019-05-03 陕西师范大学 The double-deck multiple target power dispatching method based on electric power uncertainty and low-carbon demand
CN110350600A (en) * 2019-07-19 2019-10-18 华北电力大学 A kind of flexible multimode switch regulation method promoting distributed generation resource consumption
CN111900732A (en) * 2020-08-04 2020-11-06 四川大学 Wind power cluster access mode planning method considering wind power uncertainty and reactive power flow and voltage constraints
CN113991732A (en) * 2021-10-21 2022-01-28 国电南瑞科技股份有限公司 Distributed power distribution network double-target voltage control method and device
CN116362061A (en) * 2023-06-01 2023-06-30 中诚华隆计算机技术有限公司 Reactive power optimization method and device for power distribution network

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106253335A (en) * 2016-06-16 2016-12-21 上海交通大学 A kind of distributed power source capacity and on-position uncertain distribution network planning method

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106253335A (en) * 2016-06-16 2016-12-21 上海交通大学 A kind of distributed power source capacity and on-position uncertain distribution network planning method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
MOSTAFA NICK ETC: "Optimal Allocation of Dispersed Energy Storage Systems in Active Distribution Networks for Energy Balance and Grid Support", 《IEEE TRANSACTIONS ON POWER SYSTEMS》 *
刘一兵等: "基于混合整数二阶锥规划的三相有源配电网无功优化", 《电力***自动化》 *
张翔等: "考虑主动管理模式的多目标分布式电源规划", 《上海交通大学学报》 *

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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CN108596373A (en) * 2018-04-09 2018-09-28 燕山大学 A kind of electricity-traffic coupling network dynamic equilibrium method for solving
CN108446809A (en) * 2018-04-09 2018-08-24 国网河南省电力公司经济技术研究院 A kind of regional complex energy device and network dual-layer optimization configuration method
CN108596373B (en) * 2018-04-09 2022-04-12 燕山大学 Dynamic balance solving method for electricity-traffic coupling network
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CN110350600A (en) * 2019-07-19 2019-10-18 华北电力大学 A kind of flexible multimode switch regulation method promoting distributed generation resource consumption
CN111900732A (en) * 2020-08-04 2020-11-06 四川大学 Wind power cluster access mode planning method considering wind power uncertainty and reactive power flow and voltage constraints
CN111900732B (en) * 2020-08-04 2022-08-26 四川大学 Wind power cluster access mode planning method considering wind power uncertainty and reactive power flow and voltage constraints
CN113991732A (en) * 2021-10-21 2022-01-28 国电南瑞科技股份有限公司 Distributed power distribution network double-target voltage control method and device
CN113991732B (en) * 2021-10-21 2023-11-28 国电南瑞科技股份有限公司 Double-target voltage control method and device for distributed power distribution network
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