CN109149561A - A kind of power distribution network static optimization method storing up charging tower access based on light - Google Patents
A kind of power distribution network static optimization method storing up charging tower access based on light Download PDFInfo
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H02J3/383—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
Abstract
The present invention relates to a kind of power distribution network static optimization methods that charging tower access is stored up based on light, comprising the following steps: Step 1: according to the historical data of photovoltaic system, the power output size of prediction photovoltaic system power generation；Step 2: the capacity of default energy-storage system, and determine that the method for operation of energy-storage system is peak load shifting；Step 3: establishing the charging load model of electric car according to electric car historical load data；Step 4: storing up the model of charging tower and the mathematical model of power distribution network reconfiguration according to light, the power distribution network reconfiguration model for considering light storage charging tower access is established；Step 5: converting using Second-order cone programming method to the power distribution network reconfiguration model for considering light storage charging tower access, the power distribution network second order cone reconstruction model under light storage charging tower access is obtained, and solved using GAMS.The present invention can make active loss minimum in power distribution network day-to-day operation and reduce power distribution network operating cost.
Description
Technical field
The present invention relates to a kind of power distribution network static optimization methods that charging tower access is stored up based on light, belong to power distribution network operation control
Technical field processed.
Background technique
With the development of smart grid, the intelligence degree of power distribution network is higher and higher, and be provided with certain reliability,
Safety and self-healing property.The form of more and more renewable energy power supply in a distributed manner accesses power distribution network, improves of today
Energy resource structure, while also the renewable energy such as huge challenge, such as wind-powered electricity generation, photovoltaic itself tool is brought to the operation of power distribution network
There is stronger uncertainty, therefore can be run to the scheduler routine of power distribution network and bring new challenge.Not in addition to distributed generation resource
The uncertainty of certainty, load can also affect the operation of power distribution network, such as electric car charging load, when charging
Between section and charging duration all there is stronger uncertainty.
Power distribution network reconfiguration technology refer to by change power distribution network system topological, reach reduce active power loss, balanced load,
The targets such as power supply quality are improved, power distribution network is made to be in an optimal topological structure.There are a large amount of block switches in power distribution network
And interconnection switch, reconfiguration technique changes the topological structure of system by cut-offfing block switch and interconnection switch, while making distribution
Net keeps irradiation structure (dendroid).Power distribution network static reconfiguration is for discontinuity surface when some, when optimizing this on discontinuity surface
System topology so that this when discontinuity surface a certain index it is optimal.Power distribution network static reconfiguration is under research special scenes
Power distribution network reconfiguration strategy is of great significance, and can theoretically optimize in real time to power distribution network topological structure, make power distribution network
Always it is in optimum state.
But according to the applicant understood, consider that the research of electric car is less in power distribution network reconfiguration at present, therefore, it is difficult to cope with
At present the case where a large amount of electric car charging load access power distribution networks.
Summary of the invention
The invention solves technical problems to be: providing one kind makes active loss minimum in power distribution network day-to-day operation, reduces and match
The power distribution network static optimization method that charging tower access is stored up based on light of operation of power networks cost.
In order to solve the above-mentioned technical problem, technical solution proposed by the present invention is: a kind of to store up charging tower access based on light
Power distribution network static optimization method, the light storage charging tower is by energy-storage system, photovoltaic system and electric automobile charging pile three parts group
At the photovoltaic system and energy-storage system are mounted in electric car charging column overhead, and the generated energy of the photovoltaic system enters
Energy-storage system, the electric car charging tower close power supply by energy-storage system and net Electricity Federation, and the grid-connected mode of the photovoltaic system is
Surplus of generating power for their own use online；The optimization method the following steps are included:
Step 1: according to the historical data of photovoltaic system, the power output size of prediction photovoltaic system power generation；
Step 2: the capacity of default energy-storage system, and determine that the method for operation of energy-storage system is that electric period energy storage is thrown at peak
Enter operation；
Step 3: establishing the charging load model of electric car according to electric car historical load data；
Step 4: according to the power output size of photovoltaic system power generation, the capacity of energy-storage system and the method for operation, electric car
Charge load model, establishes the power distribution network reconfiguration model of light storage charging tower access, wherein the target letter of the power distribution network reconfiguration model
Number are as follows:
In formula, i is power distribution network node number, shares n node；PIiFor the active injection power of node i,
In formula, N (i) is the node set being connected with node i；αijFor the switching variable of branch ij；θijFor node i and j
Phase difference of voltage；gijFor the conductance of branch ij；bijFor the susceptance of branch ij；ViFor the voltage magnitude of node i；PDGiFor node i
The active power size of distribution type renewable energy；PDiFor node i load active power size；
The idle injecting power of each node can be calculated by following formula:
In formula, QIiFor the idle injecting power of node of node i, QDGiFor the idle function of the distribution type renewable energy of node i
Rate size；QDiFor node i reactive load watt level；
The network topology of power distribution network is constrained, it is made to keep radial structure, specific constraint is as follows:
βij+βji=αij
βkj=0, j ∈ N (k)
βij∈{0,1}
0≤αl≤1
In formula, βijFor the binary variable of every branch, if βij=0, then it represents that node j is not father's section of node i
Point；If βij=1, then it represents that node j is the father node of node i；αlVariable, α are connected to for branchl=0 indicates the switch of branch l
It disconnects, αl=1 expression branch l's closes the switch；N (i) indicates all node sets being connected with node i, and N (k) is indicated and section
Point k connected node set；M is branch sum in power distribution network, and v indicates the number of branches that power distribution network is connected to simultaneously, is constant；
Step 5: being turned using Second-order cone programming method to the power distribution network reconfiguration model for considering light storage charging tower access
Change, be defined as follows several new variables first:
Rij=ViVj cos(θi-θj)
Tij=ViVj sin(θi-θj)
The active injection power P of node i as a result,IiWith idle injecting power QIiIt may be expressed as:
Also, the available equality constraint containing quadratic term of the variable by newly defining:
The secondary equality constraint is relaxed, inequality constraints is changed into:
Model is solved using the CPLEX solver in GAMS platform, obtains power distribution network static optimization result.
In step 4, voltage magnitude constraint can also be increased power distribution network and/or route maximum carrying capacity constrains, in which:
Voltage magnitude constraint are as follows:
Vimin≤Vi≤Vimax
In formula, ViminAnd VimaxRespectively the voltage of node i allows minimum value and maximum value；
The constraint of route maximum carrying capacity are as follows:
|Il|≤Ilmax
In formula, IlFor the electric current of branch l；IlmaxFor the maximum allowable current-carrying capacity of branch l.
The present invention to considering that the power distribution network reconfiguration model in the case of light storage charging tower access is modeled, fill by research light storage
Influence of the access of pylon to power distribution network.In the prior art, random optimization class algorithm, such calculation are largely used in power distribution network reconfiguration
Method application is strong, can be suitable for most of nonlinear optimal problem, and the optimization knot that can preferably solve, but acquire
Fruit is it is difficult to ensure that its Global Optimality, and the number of iterations is excessive, causes solving speed slower.The present invention is calculated using parsing class
Method can be very good description optimization problem itself, have stronger physical significance, and can convert nonlinear problem to can
The model of solution, to guarantee the Global Optimality of its solution.
The invention has the beneficial effects that: 1) present invention pass through new defined variable ui、RijAnd Tij, about by non-linear trend
Beam is converted into linear trend constraint, an equality constraint containing quadratic term is added, so that the nonlinear model of script converts substantially
For linear forms.
2) present invention relaxes the equality constraint containing quadratic term, is converted into second order cone inequality constraints, this process
By feasible zone range by original equality constraint disaggregation space enlargement be second order tapered disaggregation space, because of original solution
Collection space is completely contained in the disaggregation space of second order tapered, so optimized for the disaggregation space after expanding,
Still the optimal solution of former problem can be solved.Due to the second order tapered that model conversation is standard, it is possible to flat using GAMS
Commercial solver Efficient Solution in platform greatly improves solution efficiency, and second order Based On The Conic Model superiority itself, ensure that
To optimization solution be global optimum.
3) present invention fully considers the access of light storage charging tower, has studied shadow of the access to power distribution network of light storage charging tower
It rings, proposes a kind of power distribution network second order cone reconstructing method of consideration light storage charging tower access；
4) method proposed by the present invention can be widely used in the power distribution network reconfiguration in the case of electric car access, so that
In the case that electric car accesses power distribution network, reconstruction strategy still can guarantee that power distribution network is in an optimum state；
5) reasonable guidance is done in the research for domestic power distribution network reconfiguration the relevant technologies.
Detailed description of the invention
The present invention will be further explained below with reference to the attached drawings.
Fig. 1 is IEEE33 power distribution network node schematic diagram.
Fig. 2 is reconstruct front and back each node voltage comparison diagram of power distribution network.
Specific embodiment
Embodiment
The storage charging tower of light described in the present embodiment is by energy-storage system, photovoltaic system and electric automobile charging pile three parts group
At the photovoltaic system and energy-storage system are mounted in electric car charging column overhead, and the generated energy of the photovoltaic system enters
Energy-storage system, the electric car charging tower close power supply by energy-storage system and net Electricity Federation, and the grid-connected mode of the photovoltaic system is
Surplus of generating power for their own use online.
The present embodiment selection IEEE33 power distribution network is (as shown in Figure 1) to be used as example, is equipped with 40kW electric car wherein and fills
Pylon 10 (fast charge), 20, tower (trickle charge) of charging of 10kW electric car.The power distribution network static state for storing up charging tower access based on light is excellent
Change method the following steps are included:
Step 1: according to the historical data of photovoltaic system, the power output size of prediction photovoltaic system power generation.
Consider that the photovoltaic system construction of access power distribution network example relies in electric car charging column overhead to install, planning construction
Total capacity 200kWp, institute's green-emitting electric power DC inversion are that low pressure is connected to switchgear house 400V bus bar side in tower, grid-connected side after exchanging
Formula is surplus online of generating power for their own use.
Step 2: the capacity of default energy-storage system, and determine that the method for operation of energy-storage system is that electric period energy storage is thrown at peak
Enter operation, provides active support to charging tower.The size for comprehensively considering electric car capacity and photovoltaic processing, access is stored up
The capacity configuration of energy system is 400kWh.
Step 3: establishing the charging load model of electric car according to electric car historical load data.
Consider to be equipped with 40kW charging pile 10, in order to study light storage charging tower when load is larger to power distribution network reconfiguration
Influence, scene when selected light storage charging tower charging load be in peak load is electric by this static reconfiguration as research object
The size of electrical automobile charging load is chosen to be peak load value, the available peak electricity of historical load data to be charged by electric car
The charging payload of moment electric car is 280kW (limiting condition).
Step 4: according to the power output size of photovoltaic system power generation, the capacity of energy-storage system and the method for operation, electric car
Charge load model, establishes the power distribution network reconfiguration model of light storage charging tower access, wherein the target letter of the power distribution network reconfiguration model
Number are as follows:
In formula, i is power distribution network node number, shares n node, n=33；PIiFor the active injection power of node i,
In formula, N (i) is the node set being connected with node i；αijFor the switching variable of branch ij；θijFor node i and j
Phase difference of voltage；gijFor the conductance of branch ij；bijFor the susceptance of branch ij；ViFor the voltage magnitude of node i；PDGiFor node i
Distribution type renewable energy active power size；PDiFor node i load active power size；
The idle injecting power of each node can be calculated by following formula:
In formula, QIiFor the idle injecting power of node of node i, QDGiFor the idle function of the distribution type renewable energy of node i
Rate size；QDiFor node i reactive load watt level；
The parameter for calculating idle injecting power and active injection power above can be obtained by step 1 into step 3.
The network topology of power distribution network is constrained, it is made to keep radial structure, specific constraint is as follows:
βij+βji=αij
βkj=0, j ∈ N (k)
βij∈{0,1}
0≤αl≤1
In formula, βijFor the binary variable of every branch, if βij=0, then it represents that node j is not father's section of node i
Point；If βij=1, then it represents that node j is the father node of node i；αlVariable, α are connected to for branchl=0 indicates the switch of branch l
It disconnects, αl=1 expression branch l's closes the switch；N (i) indicates all node sets being connected with node i, and N (k) is indicated and section
Point k connected node set；M is branch sum in power distribution network, and v indicates the number of branches that power distribution network is connected to simultaneously, is constant；
Voltage magnitude constraint are as follows:
Vimin≤Vi≤Vimax
In formula, ViminAnd VimaxRespectively the voltage of node i allows minimum value and maximum value；
The constraint of route maximum carrying capacity are as follows:
|Il|≤Ilmax
In formula, IlFor the electric current of branch l；IlmaxFor the maximum allowable current-carrying capacity of branch l；
Step 5: being turned using Second-order cone programming method to the power distribution network reconfiguration model for considering light storage charging tower access
Change, be defined as follows several new variables first:
Rij=ViVj cos(θi-θj)
Tij=ViVj sin(θi-θj)
The active injection power P of node i as a result,IiWith idle injecting power QIiIt may be expressed as:
Also, the available equality constraint containing quadratic term of the variable by newly defining:
The secondary equality constraint is relaxed, inequality constraints is changed into:
Model is solved using the CPLEX solver in GAMS platform, obtains the weight for considering light storage charging tower access
For structure as a result, active power loss (objective optimization value) is 105.3kW, power distribution network disconnected branches are 7,9,14,16,37, each in power distribution network
Node voltage is as shown in Figure 2 (abscissa is node, and ordinate is voltage).In the case where not accessing light storage charging tower, matched
The minimum node of voltage is 17 nodes after reconfiguration of electric networks, and voltage per unit value is 0.9378, in the case where access light storage charging tower, distribution
The minimum node of voltage is 31 nodes after net reconstruct, and voltage per unit value is 0.9474.It can be seen that the access of light storage charging tower is to mentioning
High distribution network voltage level has positive effect.Before power distribution network reconfiguration, example distribution network system active power loss is 139.55kW, can be with
It is positive to find out that the access of light storage charging tower plays the role of reduction losses of distribution network.
The present invention is not limited to the above embodiment the specific technical solution, and in addition to the implementation, the present invention may be used also
To there is other embodiments.For those skilled in the art, all within the spirits and principles of the present invention, made
The technical solution of the formation such as what modification, equivalent replacement, improvement, should all be included in the protection scope of the present invention.
Claims (3)
1. a kind of power distribution network static optimization method for storing up charging tower access based on light, the light storage charging tower is by energy-storage system, light
Volt system and electric automobile charging pile three parts composition, the photovoltaic system and energy-storage system are mounted on electric car charging tower tower
On top, the generated energy of the photovoltaic system enters energy-storage system, and the electric car charging tower is closed by energy-storage system and net Electricity Federation
Power supply, the grid-connected mode of the photovoltaic system are surplus online of generating power for their own use；The optimization method the following steps are included:
Step 1: according to the historical data of photovoltaic system, the power output size of prediction photovoltaic system power generation；
Step 2: the capacity of default energy-storage system, and determine that the method for operation of energy-storage system is in the electric period energy storage investment fortune in peak
Row；
Step 3: establishing the charging load model of electric car according to electric car historical load data；
Step 4: the power output size, the capacity of energy-storage system and the charging of the method for operation, electric car that are generated electricity according to photovoltaic system
Load model establishes the power distribution network reconfiguration model of light storage charging tower access, wherein the objective function of the power distribution network reconfiguration model
Are as follows:
In formula, i is power distribution network node number, shares n node；PIiFor the active injection power of node i,
In formula, N (i) is the node set being connected with node i；αijFor the switching variable of branch ij；θijFor the voltage of node i and j
Phase angle difference；gijFor the conductance of branch ij；bijFor the susceptance of branch ij；ViFor the voltage magnitude of node i；PDGiFor the distribution of node i
The active power size of formula renewable energy；PDiFor node i load active power size；
The idle injecting power of each node can be calculated by following formula:
In formula, QIiFor the idle injecting power of node of node i, QDGiReactive power for the distribution type renewable energy of node i is big
It is small；QDiFor node i reactive load watt level；
The network topology of power distribution network is constrained, it is made to keep radial structure, specific constraint is as follows:
βij+βji=αij
βkj=0, j ∈ N (k)
βij∈{0,1}
0≤αl≤1
In formula, βijFor the binary variable of every branch, if βij=0, then it represents that node j is not the father node of node i；If
βij=1, then it represents that node j is the father node of node i；αlVariable, α are connected to for branchl=0 indicates that the switch of branch l disconnects, αl
=1 expression branch l's closes the switch；N (i) indicates all node sets being connected with node i, and N (k) expression is connected with node k
Node set；M is branch sum in power distribution network, and v indicates the number of branches that power distribution network is connected to simultaneously, is constant；
Step 5: the power distribution network reconfiguration model for considering light storage charging tower access is converted using Second-order cone programming method, it is first
First it is defined as follows several new variables:
Rij=ViVjcos(θi-θj)
Tij=ViVjsin(θi-θj)
The active injection power P of node i as a result,IiWith idle injecting power QIiIt may be expressed as:
Also, the available equality constraint containing quadratic term of the variable by newly defining:
The secondary equality constraint is relaxed, inequality constraints is changed into:
Model is solved using the CPLEX solver in GAMS platform, obtains power distribution network static optimization result.
2. the power distribution network static optimization method according to claim 1 for storing up charging tower access based on light, it is characterised in that: step
In rapid four, voltage magnitude constraint is increased to power distribution network are as follows:
Vimin≤Vi≤Vimax
In formula, ViminAnd VimaxRespectively the voltage of node i allows minimum value and maximum value.
3. the power distribution network static optimization method according to claim 1 or 2 for being stored up charging tower access based on light, feature are existed
In: in step 4, the constraint of route maximum carrying capacity is increased to power distribution network are as follows:
|Il|≤Ilmax
In formula, IlFor the electric current of branch l；IlmaxFor the maximum allowable current-carrying capacity of branch l.
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