CN109740786A - A kind of multiterminal flexible interconnection distribution network planning method and system - Google Patents
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Abstract
The invention discloses a kind of multiterminal flexible interconnection distribution network planning method and system, meter and source, net, lotus, the interaction between Chu Sizhe, coordinate distributed generation resource operator, grid company and the respective interests demand of power consumer, systems organization and running optimizatin are combined, propose three layers of coordinated planning model of multiterminal flexible interconnection power distribution network " source-net-lotus-storage ", using the uncertain problem of scene analysis method processing distributed generation resource and load, using the hybrid algorithm solving model based on simulated annealing and interior point method composition.The present invention takes into account the interests demand of different subjects, promote source, net, lotus, storage friendly interaction, ensure DG operator and power consumer respectively interests while, moreover it is possible to improve system operation level, improve the power supply quality and economy of system operation.
Description
Technical field
The invention belongs to active distribution network planning technology fields, and in particular to a kind of multiterminal flexible interconnection distribution network planning side
Method and system.
Background technique
With the development of back-to-back flexible direct current (Back-to-Back VSC-HVDC) technology, flexible electric electronics is utilized
Technological transformation power distribution network becomes an important trend.Back-to-back soft straight technology is applied to AC distribution net, can be changed
" closed loop design, open loop operation " mode that China's power distribution network is carried out for a long time, not only may be implemented any feeder line of power distribution network and pacifies for a long time
Full Electromagnetic coupling, and can the distribution of accuracy controlling electric network swim.The operation of power distribution network flexible interconnection is to promote power supply reliability and rush
The important channel dissolved into Thief zone DG close friend.
In order to meet the power supply reliability demand of customer charge continuous improvement, Modern power distribution network planning is drawn in direction and is had begun
It is a large amount of it is standby for one using two, three directly got in touch with for multi-thread powering mode, a plurality of feeder line such as standby by the loop networks switch of end
Scene generally occurs.Therefore, using multiterminal back-to-back it is soft it is straight (multi-terminal back-to-back VSC-HVDC,
MBVH) loop networks switch is replaced to further realize a plurality of feeder line flexible interconnection, forms multiterminal flexible interconnection power distribution network, just can in this way
The flexible interconnection demand under multi-thread power supply scene is adapted to, scrap build cost and workload are reduced.But directly it is with soft back-to-back
The flexible power flowcontrol technology of representative, is substantially still the regulation of power level, high when interconnection feeder line variable capacity is lower
Infiltration DG access still will affect system safe and stable operation.
In recent years, the controllable devices such as energy storage and flexible load are grown rapidly, and provide more supplies to power distribution network
Side and Demand-side resource can provide the regulation of timing energy level for power grid, therefore, if can unite in distribution network planning and operation
It raises and considers influencing each other for all kinds of controllable flexible resources, coordinate the interests between each investment subject, just can further promote distribution
The economy and safety of operation.
At this stage, DG operator fails to fully consider the planning and development situation of power distribution network in planning, by trend section
The limitation of capacity causes abandonment to abandon optical issue serious；Grid company does not fully consider the possible planning of DG in investment construction
Situation, but also distribution network planning is unreasonable, it is difficult to receive DG largely to network, can not achieve maximizing the benefits；Grid company is removed
Outside investment construction, also implementable all kinds of Demand Side Responses (demand side response, DSR) project, motivates ESS and FL
Equal power consumers adjust electricity consumption behavior, this equally also will affect distribution investment construction and DG access amount.It therefore, is realization DG operation
Interests between quotient, grid company and power consumer tripartite's main body, the coordinated planning for carrying out " source-net-lotus-storage " have important meaning
Justice.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, the present invention provides a kind of multiterminal flexible interconnection distribution
Net method and system for planning can ensure distributed generation resource operator and power consumer respectively interests, and can improve system operation water
It is flat, improve the power supply quality and economy of system operation.
Technical solution: a kind of multiterminal flexible interconnection distribution network planning method of the present invention the following steps are included:
(1) power grid operator, flexible load user and the respective year comprehensive income of energy storage user are up in a distributed manner
Target, using simulated annealing to the addressing constant volume model of distributed generation resource, flexible load and the energy-storage system pre-established
It is solved；
(2) with the minimum target of grid company year overall cost, the multiterminal pre-established are carried on the back using simulated annealing
The soft straight constant volume model of backrest is solved；
(3) according to the operation result of step (1), step (2), with the minimum target of system annual operating and maintenance cost, using interior point
Method solves the optimal operation model pre-established；
(4) by the operation result of step (3) feedback into step (1) and step (2), and by the operation result of step (1)
It is transmitted in step (2), forms iteration optimization, when reaching maximum number of iterations, terminate optimization, form optimum programming scheme；When
Not up to maximum number of iterations, return step (1) optimize into a new round.
The objective function of the addressing constant volume model of the distributed power supply system is as follows:
Wherein:Respectively the year sale of electricity income of DG operator, year subsidy are received
Benefit, ancillary service annual earnings, annual operating cost and year investment cost；T is the optimization period, and s is optimization scene, NsFor scene number；
ΩDGFor DG upgrading node collection；psFor scene probability；Δ t is Period Length；The online sale of electricity electricity of respectively DG
Valence and policy subsidize electricity price；The Reactive Power Price of ancillary service is provided for DG under t period scene s；Respectively DG
The operation expense and cost of investment of unit capacity；Output for DG at t period scene s lower node i is active
Power and reactive power；For the installed capacity of DG at node i；D is discount rate；yDGFor the Economic Life of DG；Allow the DG maximum capacity upper limit installed for node i；aiFor nonnegative integer；SDG,0For DG unit rated capacity；
The objective function of the addressing constant volume model of the flexible load system is as follows:
Wherein:Respectively flexible load participates in the electricity cost of reduction and the compensation income of acquisition after DSR； The respectively annual operating cost of flexible load and year investment cost；ΩFLFor flexible load upgrading node collection； The respectively ancillary service electricity price, maintenance cost and unit capacity cost of investment of flexible load；When for t
The original loads power of flexible load at section scene s lower node i；It is soft at respectively t period scene s lower node i
Property load power and flexible load regulating power, wherein increase power be positive, reduce power be negative；ΔPi FL, max、ΔPi FL ,minThe bound of flexible load regulating power respectively at node i；psFor scene probability；ct,sFor power grid under t period scene s
Purchase electricity price；Δ t is the time span of each period in an optimizing cycle；yFLFor flexible load utilization periods；For section
Flexible load rated power at point i；
The objective function of the addressing constant volume model of the energy-storage system is as follows:
Wherein:Year the online income, year power purchase expense, annual running cost of respectively ESS
With with year investment cost；ΩESSFor ESS upgrading node collection；For the charge and discharge electric work of ESS at t period scene s lower node i
Rate, charging are negative, and electric discharge is positive；The operation and maintenance of online the sale of electricity electricity price, unit capacity of respectively ESS
Cost and cost of investment；ct,sFor grid company sale of electricity electricity price；Respectively ESS unit power cost and unit
Capacity Cost；Respectively rated power ESS to be installed at node i and rated capacity；yESSFor the warp of ESS
It helps service life；Respectively node i allow install the ESS maximum power upper limit and the maximum capacity upper limit；
eiFor nonnegative integer；PESS,0、SESS,0Respectively ESS specific power ratings and unit rated capacity.
The back-to-back soft straight constant volume model of step (2) described multiterminal:
Wherein:For power distribution network superior power grid purchases strategies,Operating cost is invested for MBVH,For
Web-based exercise,For emission reduction benefit；ΩgridIt is coupled point set with upper network for distribution,For the purchase of distribution superior power grid
Electrical power,For superior power grid purchase electricity price at t period scene s lower node i；ΩMBVHFor the position MBVH collection, ηMBVH、
yMBVH、The respectively Economic Life of MBVH, year operation and maintenance cost coefficient, unit capacity cost of investment,For
MBVH capacity to be installed；Pt,s,iFor the i-node injecting power under scene s in the t period, AMBVH,iFor MBVH current transformer at node i
Loss factor,For the active power of output of MBVH current transformer at t period scene s lower node i；cemiFor the discharge of higher level's power grid
Cost；Allow the MBVH maximum capacity upper limit installed for node i；miFor nonnegative integer；SMBTB,0For MBVH unit volume
Constant volume；N indicates distribution number of nodes；ct,sFor power grid purchase electricity price under t period scene s；At t period scene s lower node i
Distributed power source output power.
Step (3) described optimal operation model includes that FL optimal operation model, ESS optimal operation model and system operation are excellent
Change model.
The step (3) the following steps are included:
(31) FL optimal operation model be meet FL operation constraint while, using FL run Income Maximum as target,
The output power of decision FL, objective function are as follows:
(32) ESS optimal operation model is while meeting ESS operation constraint, using ESS operation Income Maximum as mesh
Mark, the output power of decision ESS, objective function are as follows:
(33) solving result based on FL optimal operation model and ESS optimal operation model, running Optimization model are
System annual operating and maintenance cost, the operating status of optimization system, decision DG are minimized while meeting power distribution network various constraint conditions
With the output of MBVH it is active/reactive power, objective function is as follows:
A kind of multiterminal flexible interconnection distribution network planning system of the present invention, including upper layer planning module, middle layer planning
Module, lower layer's planning module and calculating feedback module；The upper layer planning module in a distributed manner use by power grid operator, flexible load
Family and the respective year comprehensive income of energy storage user are up to target, using simulated annealing to the distributed electrical pre-established
The addressing constant volume model in source, flexible load and energy-storage system is solved；The middle layer planning module is comprehensive with grid company year
Cost minimization is target, and using simulated annealing, to the multiterminal pre-established, soft straight constant volume model is solved back-to-back；
Lower layer's planning module is with the minimum target of system annual operating and maintenance cost, using interior point method to the optimal operation model pre-established
It is solved；The feedback module that calculates plans the operation result feedback of lower layer's planning module to upper layer planning module and middle layer
In module, and the operation result of upper layer planning module is transmitted in the planning module of middle layer, when reaching maximum number of iterations, is terminated
It calculates；When not up to maximum number of iterations, return upper layer planning module recalculate.
The utility model has the advantages that compared with prior art, the invention has the benefit that taking into account the interests demand of different subjects, promoting
Into source, net, lotus, storage friendly interaction, ensure distributed generation resource operator and power consumer respectively interests while, moreover it is possible to improve
System operation level improves the power supply quality and economy of system operation.
Detailed description of the invention
Fig. 1 is three layers of coordinated planning relational graph；
Fig. 2 is " source, net, lotus, storage " flexible power distribution network figure；
Fig. 3 is that the present invention solves flow chart；
Fig. 4 is 33 node example system diagrams；
Fig. 5 is system per period minimum node voltage pattern under four kinds of schemes；
Fig. 6 is energy storage power graph；
Fig. 7 is energy storage electric quantity curve figure；
Fig. 8 is flexible load power graph.
Specific embodiment
The present invention will be further explained with reference to the accompanying drawing.A kind of multiterminal flexible interconnection distribution network planning method,
Include the following steps:
1, power grid operator, flexible load user and the respective year comprehensive income of energy storage user are up to mesh in a distributed manner
Mark, using simulated annealing to the addressing constant volume model of distributed generation resource, flexible load and the energy-storage system pre-established into
Row solves.
From economy, the year comprehensive income of power supply (DG) operator is up to target in a distributed manner, determines the peace of DG
Holding position and capacity, objective function are as follows:
In formula:Respectively the year sale of electricity income of DG operator, year subsidy are received
Benefit, ancillary service annual earnings, annual operating cost and year investment cost；T is the optimization period, and s is optimization scene, NsFor scene number；
ΩDGFor DG upgrading node collection；psFor scene probability；Δ t is Period Length；The online sale of electricity electricity of respectively DG
Valence and policy subsidize electricity price；The Reactive Power Price of ancillary service is provided for DG under t period scene s；Respectively DG
The operation expense and cost of investment of unit capacity；Output for DG at t period scene s lower node i is active
Power and reactive power；For the installed capacity of DG at node i；D is discount rate；yDGFor the Economic Life of DG；Allow the DG maximum capacity upper limit installed for node i；aiFor nonnegative integer；SDG,0For DG unit rated capacity.
Consider that user participates in demand response, it is believed that user can determine response policy so as to adjust its electricity consumption based on number one
Behavior.The price type DSR project that user may participate in is tou power price, and user is transferred out of load in electricity price peak period, in electricity price
Pinggu period is transferred into load.DSR acquisition year comprehensive income is participated in flexible load user and is up to target, determines the transformation of FL
Position and transformation capacity, objective function are as follows:
In formula:Respectively flexible load participates in the electricity cost of reduction and the compensation income of acquisition after DSR； The respectively annual operating cost of flexible load and year investment cost；ΩFLFor flexible load upgrading node collection； The respectively ancillary service electricity price, maintenance cost and unit capacity cost of investment of flexible load；When for t
The original loads power of flexible load at section scene s lower node i；It is soft at respectively t period scene s lower node i
Property load power and flexible load regulating power, wherein increase power be positive, reduce power be negative；ΔPi FL, max、ΔPi FL , minThe bound of flexible load regulating power respectively at node i.
Energy storage user realizes arbitrage according to grid company tou power price and energy storage rate for incorporation into the power network difference, maximum with year comprehensive income
For target, the installation site and capacity of ESS are determined, objective function is as follows:
In formula:Year the online income, year power purchase expense, annual running cost of respectively ESS
With with year investment cost；ΩESSFor ESS upgrading node collection；For the charge and discharge electric work of ESS at t period scene s lower node i
Rate, charging are negative, and electric discharge is positive；The operation and maintenance of online the sale of electricity electricity price, unit capacity of respectively ESS
Cost and cost of investment；ct,sFor grid company sale of electricity electricity price；Respectively ESS unit power cost and unit
Capacity Cost；Respectively rated power ESS to be installed at node i and rated capacity；yESSFor the warp of ESS
It helps service life；Respectively node i allow install the ESS maximum power upper limit and the maximum capacity upper limit；
eiFor nonnegative integer；PESS,0、SESS,0Respectively ESS specific power ratings and unit rated capacity.
Storage energy operation constraint is needed comprising the following:
1) ESS discharge power constrains
2) ESS charge power constrains
3) ESS state-of-charge SOC is constrained
In formula: SOCt,s,iFor the SOC value of ESS at t period scene s lower node i；WithRespectively node i
Locate the SOC value bound of ESS；ξchAnd ξdisRespectively ESS efficiency for charge-discharge.
2, with the minimum target of grid company year overall cost, the multiterminal pre-established are leaned against using simulated annealing
The constant volume model for carrying on the back soft straight (MBVH) is solved.
In using minimize grid company year overall cost as target, obtain the constant volume model of optimal MBVH:
In formula:For power distribution network superior power grid purchases strategies,Operating cost is invested for MBVH,For
Web-based exercise,For emission reduction benefit；ΩgridIt is coupled point set with upper network for distribution,For the purchase of distribution superior power grid
Electrical power,For superior power grid purchase electricity price at t period scene s lower node i；ΩMBVHFor the position MBVH collection, ηMBVH、
yMBVH、The respectively Economic Life of MBVH, year operation and maintenance cost coefficient, unit capacity cost of investment,For
MBVH capacity to be installed；Pt,s,iFor the i-node injecting power under scene s in the t period, AMBVH,iFor MBVH current transformer at node i
Loss factor,For the active power of output of MBVH current transformer at t period scene s lower node i；cemiFor the discharge of higher level's power grid
Cost；Allow the MBVH maximum capacity upper limit installed for node i；miFor nonnegative integer；SMBTB,0For MBVH unit volume
Constant volume.
One end current transformer is controlled using constant voltage in MBVH, and other each end current transformers use constant dc power control, is considered certain
Loss factor, MBVH operation constraint it is as follows:
1) active power balance constraint
2) current transformer reactive power constrains
3) Converter Capacity constrains
In formula:WithIn respectively period t at scene s lower node i MBVH current transformer active power of output
And reactive power, and provide that flowing into feeder line is positive direction；μ is reactive power limit coefficient；For MBVH unsteady flow at node i
The access capacity of device.
3, with the minimum target of system annual operating and maintenance cost, the optimal operation model pre-established is asked using interior point method
Solution；
Optimal operation model includes flexible load (FL) optimal operation model, energy storage (ESS) optimal operation model and system
Three submodels of optimal operation model.
FL optimal operation model be meet FL operation constraint while, using FL run Income Maximum as target, decision
The output power of FL, objective function are as follows:
ESS optimal operation model is while meeting ESS operation constraint, using ESS operation Income Maximum as target, certainly
The output power of plan ESS, objective function are as follows:
Solving result based on FL optimal operation model and ESS optimal operation model, running Optimization model are full
Minimize system annual operating and maintenance cost while sufficient power distribution network various constraint conditions, the operating status of optimization system, decision DG and
The output of MBVH is active/reactive power, objective function is as follows:
Constraint condition removes formula (3), formula (24)~formula (26), comprising: constraint, node electricity are sent in system load flow constraint, trend
Pressure constraint and line power constraint.Constraint condition is as follows:
In formula: i, j are system node number；Ut,s,i、Ut,s,jIt (t) is the voltage magnitude of t period node i and node j；Gij、Bij
Transconductance and mutual susceptance respectively between node i and node j；δt,s,ijFor the phase difference between t period node i and node j；
Pt,s,ijFor the line power between t period node i and node j；WithFor node voltage bound；Line power
The upper limit.
4, by the operation result feedback of step 3 into step 1 and step 2, and the operation result of step 1 is transmitted to step
In 2, iteration optimization is formed, when reaching maximum number of iterations, terminates optimization, forms optimum programming scheme；When not up to maximum changes
Generation number, return step 1 optimize into a new round.
A kind of multiterminal flexible interconnection distribution network planning system, including upper layer module, middle layer module, lower module and calculating are anti-
Present module；The upper layer module in a distributed manner receive by power grid operator, flexible load user and the respective year synthesis of energy storage user
Benefit is up to target, the addressing using simulated annealing to the distributed generation resource, flexible load and the energy-storage system that pre-establish
Constant volume model is solved；The middle layer module is with the minimum target of grid company year overall cost, using simulated annealing
To the multiterminal pre-established, soft straight constant volume model is solved back-to-back；The lower module is minimum with system annual operating and maintenance cost
For target, the optimal operation model pre-established is solved using interior point method；The calculating feedback module is by lower module
Operation result feedback into upper layer module and middle layer module, and the operation result of upper layer module is transmitted in the module of middle layer,
When reaching maximum number of iterations, terminate to calculate；When not up to maximum number of iterations, return upper layer module recalculate.
Programme is passed to middle lower layer by upper layer model, and programme is passed to lower layer, underlying model by middle layer model
It respectively runs Income Maximum year using flexible load and energy-storage system and carries out running optimizatin, the output work of flexibility in decision load as target
Rate and energy-storage system output power, then with the minimum target of distribution annual operating and maintenance cost, decision multiterminal are soft straight and distributed back-to-back
The output of power supply is active or reactive power, and distributed generation resource that decision obtains, flexible load, energy-storage system, multiterminal are leaned against
It carries on the back soft straight four optimized operation and goes out force feedback to middle layer and upper layer.
" source, net, lotus, storage " flexibility power distribution network as shown in Fig. 2, in the case where electricity market background and policy are encouraged, DG operator,
Energy storage user and flexible load user have a motivation and power preferentially to make a policy, different interests main body decision problem need into
Row layered shaping.Upper layer planning is up to target, decision with DG operator, FL user and the respective year comprehensive income of ESS user
The installation site and capacity of DG, ESS, FL three；It plans with the minimum target of grid company year overall cost, decision MBVH in middle layer
Installed capacity；Lower layer is respectively run Income Maximum year using FL and ESS first and carries out running optimizatin, the output of decision FL as target
Power and ESS output power, then again with the minimum target of distribution annual operating and maintenance cost, the output of decision MBVH and DG have system
Function/reactive power.DG, FL, ESS installation site and capacity are passed to middle lower layer by upper layer, and then, middle layer holds the installation of MBVH
Amount and DG and each scene power transfer of load are to lower layer, and later, lower layer is according to the program results in upper layer and middle layer to run warp
Ji property is objective optimization system running state, and DG, FL, ESS, MBVH optimized operation that decision obtains are gone out force feedback and arrived
Middle layer and upper layer.
Consider that systems organization and operation combined optimization, each layer model mutually transmit data and variable, alternating iteration, lower layer's root
According to the program results in upper middle layer using performance driving economy as objective optimization system, upper middle layer is then again excellent according to the operation result of lower layer
Change itself decision, and then start next round loop optimization, the relationship of three layers of coordinated planning is as shown in Figure 1.Above-mentioned three layers of coordination rule
Draw model be difficult to by single method solve, the present invention using simulated annealing algorithm (SA) and interior point method composition hybrid algorithm into
Row solves, and specific solution procedure is as shown in figure 3, wherein SA is used to obtain addressing constant volume scheme and the middle layer of upper layer DG, FL, ESS
The constant volume scheme of MBVH, interior point method is used to solve the running optimizatin problem of lower layer FL, ESS and system, when the number of iterations reaches most
The maximum number of iterations being just arranged 10000 times, optimization process terminate, and form optimum programming scheme.
In order to verify the feasibility and validity of the proposed coordinated planning method of the present invention, using 33 nodes as shown in Figure 4
Example system carries out analysis verifying to the three-level programming model of proposition, and the system is logical for 4 feeder lines from 4 different substations
It crosses MBVH and is connected to form a closed-loop system.System nominal voltage is 10kV, and total burden with power is 7.43MW, and load or burden without work is
4.6Mvar.DG, FL, ESS and MBVH relative parameters setting are shown in Table 1~table 4, and electricity price relevant parameter is shown in Table 5.Set complete one
A dispatching cycle is sampling time interval 15min for 24 hours, totally 96 periods.The sample number of photovoltaic and load is after reduction
3,9 kinds of total Run-time scenarios are obtained after joint mapping, corresponding scene probability of happening and PV and load power are calculated, and will
PV and load power are normalized.Simulation Example Program under MATLAB R2014a environment.
The present invention set 4 kinds of programmes: 1. plan do not have the DG of Reactive-power control ability, do not consider MBVH, ESS and
FL；2. planning has the DG of Reactive-power control ability, MBVH, ESS and FL are not considered；3. planning have Reactive-power control ability DG with
MBVH does not consider ESS and FL；4. planning has Reactive-power control ability DG, MBVH, ESS and FL, using three layers of Optimized model, obtain
The program results arrived are as shown in 6~table of table 9, it can be deduced that draw a conclusion:
1) compared with original system, the DG annual earnings of scheme 1,2,3 are respectively 96.10 ten thousand yuan, 111.08 ten thousand yuan and 154.78
Wan Yuan, DG installed capacity are respectively 3.7MW, 3.9MW, 5.6MW, distribution year comprehensive power supply cost reduce respectively 335.26 ten thousand yuan,
359.73 ten thousand yuan and 596.00 ten thousand yuan, decreasing loss rate is respectively 27.31%, 35.24%, 40.55%.Illustrate to configure DG in systems
Obvious income can be brought for DG operator and grid company, and grid company investment MBVH improves the regulating power of system, energy
DG consumption rate is enough further increased, the requirement of both sides is met.
2) compared to scheme 3, after scheme 4 considers power consumer coordinated planning, energy storage user and flexible load annual earnings point
Wei not be 8.07 ten thousand yuan and 152.31 ten thousand yuan, the annual earnings of DG operator increase 33.52 ten thousand yuan, and DG installed capacity increases
0.4MW, grid company year, comprehensive power supply cost again reduced 31.22 ten thousand yuan, and decreasing loss rate is up to 48.23%.Illustrate, using this hair
After " source-net-lotus-storage " coordinated planning model of bright proposition, DG operator and power consumer have certain net profit, and power grid
The power supply cost of company is significantly reduced, i.e. coordinated planning has ensured the interests of tripartite simultaneously.
3) it compares scheme 1 and scheme 2, DG installed capacity increases 0.2MW, DG operator annual earnings increase 14.98 ten thousand
Member, grid company year, comprehensive power supply cost reduced 24.67 ten thousand yuan.Illustrate that grid company is certain by providing according to power grid demand
Reactive Power Ancillary Services electricity price has increase accordingly DG configuration capacity after DG operator active response electricity price, increases the same of sale of electricity income
When, extra returns are also obtained come responsive electricity grid demand by gird-connected inverter residual capacity in the Reactive Power Ancillary Services period.Power grid
Although the certain ancillary service cost of company's pay this extra, superior power grid purchases strategies and Web-based exercise reduce more,
Total power supply cost is still reduced.As long as therefore reasonably introducing DSR, so that it may improve system operation and reduce system and throw
Money, to improve distribution construction economy.
4) as can be seen from Table 6, grid company is greatly reduced from the purchases strategies of higher level's power grid.The reason is as follows that: 1, it connects
The power purchase approach for entering power distribution network after DG increases, be no longer it is single can be commercially available from local DG operation from higher level's power grid power purchase
Electricity；2, on the one hand the MBVH of grid company investment operation can select cost in real time according to bus nodes electricity price and workload demand
Minimum scheme carries out power purchase, and the installation of another aspect MBVH improves the power flow regulating ability of system, increases the consumption of DG
Ability reduces purchases strategies indirectly；3, after implementing DSR, energy storage and flexible load release electric energy in electricity price peak period respectively
With reduction electricity consumption, the purchases strategies of grid company are again reduced.
5) system per period minimum node voltage is as shown in Figure 5 under four kinds of schemes, it can be seen that scheme 1 compares original system
Daytime photovoltaic there is power output period node voltage to get over lower limit situation and make moderate progress, but load peak period voltage is still more at night
Limit is serious.After 17:00~21:00 introduces the participation ancillary service of Reactive Power Price excitation PV operator, system voltage obtains scheme 2
Effective improvement, but still constrained lower than lower voltage limit within multiple periods.Under scheme 3 and scheme 4, system node voltage
More Lower Boundary has obtained comprehensive solution, and scheme 4 is smaller compared to 3 maximum node voltage deviation of scheme.Thus illustrate,
The coordinated planning of four kinds of flexible resources can give full play to voltage regulation capability, and MBVH provides a large amount of reactive power support effectively
System voltage is improved, energy storage and the application of flexible load have then further reduced voltage deviation, thus the power supply of whole system
Quality has obtained effective raising, ensure that power supply quality is optimal.
6) by taking energy storage at node 14 and the flexible load at node 25 as an example, corresponding operation curve, can as shown in Fig. 6,7,8
To find out, in the load peak period, energy storage releases electric energy as load power supply, and flexible load reduces electricity consumption and reduces system loading.
Illustrate, grid company can motivate power consumer to participate in the optimization operation of power grid, realize soft by implementing reasonable DSR
The coordinated operation of property resource.
1 PV relevant parameter of table
2 MBVH relevant parameter of table
3 energy storage relevant parameter of table
4 flexible load relevant parameter of table
5 electric price parameter of table
Remarks: the peak period: section when 10:00-12:00,17:00-20:00 is flat: 6:00-9:00,13:00-16:00,21:
The 00-24:00 paddy period: 1:00-5:00
6 DG program results of table
7 power grid of table (MBVH) program results
8 flexible load program results of table
9 energy storage program results of table
The above is only a preferred embodiment of the present invention, it should be pointed out that: for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (6)
1. a kind of multiterminal flexible interconnection distribution network planning method, which comprises the following steps:
(1) power grid operator, flexible load user and the respective year comprehensive income of energy storage user are up to target in a distributed manner,
It is asked using addressing constant volume model of the simulated annealing to distributed generation resource, flexible load and the energy-storage system pre-established
Solution；
(2) back-to-back to the multiterminal pre-established using simulated annealing with the minimum target of grid company year overall cost
Soft straight constant volume model is solved；
(3) according to the operation result of step (1), step (2), with the minimum target of system annual operating and maintenance cost, using interior point method pair
The optimal operation model pre-established is solved；
(4) the operation result feedback of step (3) is transmitted into step (1) and step (2), and by the operation result of step (1)
To in step (2), iteration optimization is formed, when reaching maximum number of iterations, terminates optimization, forms optimum programming scheme；When not reaching
To maximum number of iterations, return step (1) optimizes into a new round.
2. a kind of multiterminal flexible interconnection distribution network planning method according to claim 1, which is characterized in that step (1) institute
The objective function of the addressing constant volume model for the distributed power supply system stated are as follows:
Wherein:Respectively the year sale of electricity income of DG operator, year subsidy income, auxiliary
Help service annual earnings, annual operating cost and year investment cost；T is the optimization period, and s is optimization scene, NsFor scene number；ΩDGFor
DG upgrading node collection；psFor scene probability；Δ t is Period Length；The online sale of electricity electricity price of respectively DG and
Policy subsidizes electricity price；The Reactive Power Price of ancillary service is provided for DG under t period scene s；Respectively DG unit
The operation expense and cost of investment of capacity；For DG at t period scene s lower node i active power of output and
Reactive power；For the installed capacity of DG at node i；D is discount rate；yDGFor the Economic Life of DG；For section
Point i allows the DG maximum capacity upper limit installed；aiFor nonnegative integer；SDG,0For DG unit rated capacity；
The objective function of the addressing constant volume model of flexible load system is as follows:
Wherein:Respectively flexible load participates in the electricity cost of reduction and the compensation income of acquisition after DSR；The respectively annual operating cost of flexible load and year investment cost；ΩFLFor flexible load upgrading node collection；The respectively ancillary service electricity price, maintenance cost and unit capacity cost of investment of flexible load；For t
The original loads power of flexible load at period scene s lower node i； It is soft at respectively t period scene s lower node i
Property load power and flexible load regulating power, wherein increase power be positive, reduce power be negative；ΔPi FL,max、ΔPi FL ,minThe bound of flexible load regulating power respectively at node i；psFor scene probability；ct,sFor power grid under t period scene s
Purchase electricity price；Δ t is the time span of each period in an optimizing cycle；yFLFor flexible load utilization periods；For section
Flexible load rated power at point i；
The scalar functions of the addressing constant volume model of energy-storage system are as follows:
Wherein:Respectively ESS year online income, year power purchase expense, annual operating cost and
Year investment cost；ΩESSFor ESS upgrading node collection；For the charge-discharge electric power of ESS at t period scene s lower node i,
Charging is negative, and electric discharge is positive；Respectively ESS online sale of electricity electricity price, unit capacity operation and maintenance at
Sheet and cost of investment；ct,sFor grid company sale of electricity electricity price；Respectively ESS unit power cost and unit are held
Measure cost；Respectively rated power ESS to be installed at node i and rated capacity；yESSMake for the economy of ESS
Use the time limit；Respectively node i allow install the ESS maximum power upper limit and the maximum capacity upper limit；eiFor
Nonnegative integer；PESS,0、SESS,0Respectively ESS specific power ratings and unit rated capacity.
3. a kind of multiterminal flexible interconnection distribution network planning method according to claim 1, which is characterized in that step (2) institute
State multiterminal soft straight constant volume model back-to-back:
Wherein:For power distribution network superior power grid purchases strategies,Operating cost is invested for MBVH,For network loss
Cost,For emission reduction benefit；ΩgridIt is coupled point set with upper network for distribution,For distribution superior power grid power purchase function
Rate,For superior power grid purchase electricity price at t period scene s lower node i；ΩMBVHFor the position MBVH collection, ηMBVH、yMBVH、The respectively Economic Life of MBVH, year operation and maintenance cost coefficient, unit capacity cost of investment,For MBVH
Capacity to be installed；Pt,s,iFor the i-node injecting power under scene s in the t period, AMBVH,iFor the loss of MBVH current transformer at node i
Coefficient,For the active power of output of MBVH current transformer at t period scene s lower node i；cemiFor higher level's power grid discharge at
This；Allow the MBVH maximum capacity upper limit installed for node i；miFor nonnegative integer；SMBTB,0It is specified for MBVH unit
Capacity；N indicates distribution number of nodes；ct,sFor power grid purchase electricity price under t period scene s；At t period scene s lower node i
Distributed power source output power.
4. a kind of multiterminal flexible interconnection distribution network planning method according to claim 1, which is characterized in that step (3) institute
Stating optimal operation model includes flexible load optimal operation model, storage energy operation Optimized model and running Optimization model.
5. a kind of multiterminal flexible interconnection distribution network planning method according to claim 4, which is characterized in that the step
(3) the following steps are included:
(31) flexible load optimal operation model is while meeting operation constraint, using year operation Income Maximum as target, certainly
The output power of plan flexible load operation, objective function are as follows:
(32) storage energy operation Optimized model is while meeting operation constraint, and using year operation Income Maximum as target, decision is stored up
The output power that can be run, objective function are as follows:
(33) solving result based on flexible load optimal operation model and storage energy operation Optimized model, running Optimization model
It is that system annual operating and maintenance cost, the operating status of optimization system, decision are minimized while meeting power distribution network various constraint conditions
Distributed generation resource and multiterminal back-to-back soft straight output it is active/reactive power, objective function is as follows:
6. a kind of multiterminal flexible interconnection distribution network planning system, which is characterized in that the system comprises upper layer planning modules, middle layer
Planning module, lower layer's planning module and calculating feedback module；Power grid operator, flexibility are negative in a distributed manner for the upper layer planning module
Lotus user and the respective year comprehensive income of energy storage user are up to target, the distribution using simulated annealing to pre-establishing
The addressing constant volume model of formula power supply, flexible load and energy-storage system is solved；The middle layer planning module is with grid company year
The minimum target of overall cost, using simulated annealing, to the multiterminal pre-established, soft straight constant volume model is asked back-to-back
Solution；Lower layer's planning module runs the optimization pre-established with the minimum target of system annual operating and maintenance cost, using interior point method
Model is solved；The feedback module that calculates is by the operation result feedback of lower layer's planning module to upper layer planning module and middle layer
In planning module, and the operation result of upper layer planning module is transmitted in the planning module of middle layer, when reaching maximum number of iterations,
Terminate to calculate；When not up to maximum number of iterations, return upper layer planning module recalculate.
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