CN104167751A - Charging-discharging-storage integrated power station dispatching-based microgrid economic operation method - Google Patents
Charging-discharging-storage integrated power station dispatching-based microgrid economic operation method Download PDFInfo
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Abstract
The invention relates to a charging-discharging-storage integrated power station dispatching-based microgrid economic operation method. The method is characterized in that an electric vehicle battery charge-swap station (BCSS) and a storage battery energy storage station (ESS) are combined to form a charging-discharging-storage integrated station (CDSIS) that is connected to a microgrid, wherein the CDSIS serving as the energy storage system have the optimized active and reactive power outputs; charging and discharging of the storage battery ESS and the electric vehicle BCSS in dispatching are coordinated; and according to a power price difference at a peak period, a connecting line interaction power and a fuel cell (FC) output are optimized and the CDSIS low-storage high-generation interest arbitrage. According to the invention, the electric vehicle is connected to the microgrid by the BCSS, thereby improving the utilization rate of renewable energy sources; because the BCSS and the ESS are coordinated and cooperate to each other, a stable charging and discharging environment is provided for a power battery; and the utilization rate of the power cell enhanced based on the power cell cascade utilization. Meanwhile, the power cell can provide adjustable capacity support for the ESS, thereby realizing the win-win effect.
Description
Technical field
The present invention relates to a kind of microgrid operation optimisation technique, particularly a kind of microgrid economical operation method based on charging and discharging storage integrated power station scheduling.
Background technology
Electric automobile (EV, electric vehicle) is greatly developed as the strategic new industry of China, and following scale electric automobile can not effectively reduce carbon emission by the direct charging of electrical network, breaks away from or alleviates the dependence to fossil fuel.Electric automobile is accessed to microgrid, and carries out cluster and discharge and recharge control, will obtain many benefits: 1) by regenerative resource with discharge and recharge facility organic integration, improve electric automobile clean energy resource utilance, reduce carbon emission amount; 2) electric automobile that numerous electrokinetic cell compositions is had to certain stored energy capacitance fills electrical changing station (BCSS, Battery Charge-Swap Station), and convenient unified control and management reduces the negative effect that a large amount of electric automobile access microgrids produce; 3) effectively bring into play the energy storage capacity of electrokinetic cell (PB, power battery), make microgrid controlled more flexibly, improve regenerative resource and receive ability.If and by energy-accumulating power station (ESS, Energy Storage Station) and electric automobile fill electrical changing station and build in together, composition has merged charging station, the electric automobile of electrical changing station and energy storage station function charges and discharge the integrated power station (CDSIS of storage, Charging-Discharging-Storage Integrated Station), not only save construction investment, facilitate repair and maintenance, and electrokinetic cell in idle state can be energy storage station provide pondage support, can not meet recyclable after power demand is energy-storage battery (SB, Storage Battery) echelon use, thereby improve utilization ratio.For energy storage station, by flexible control, change station the environment that discharges and recharges of safety and stability is provided for filling, extend the pond useful life of electrokinetic cell.Therefore, build and charge and discharge the integrated power station of storage and can improve energy storage station and fill the comprehensive benefit of changing station.
Summary of the invention
The present invention be directed to electric automobile fill changing station build in energy storage station together with coordinated scheduling specifically have very high superiority problem, a kind of microgrid economical operation method based on charging and discharging storage integrated power station scheduling has been proposed, by energy storage station is changed to station coordination optimization scheduling with filling, realize microgrid economical operation, and energy storage station and electrical changing station are provided support mutually.
Technical scheme of the present invention is: a kind of microgrid economical operation method based on charging and discharging storage integrated power station scheduling, electric automobile is filled to electrical changing station and batteries to store energy station to be combined to form and charges and discharge the integrated power station of storage, be CDSIS, and access microgrid, CDSIS is as its meritorious idle exerting oneself of energy-storage system global optimization, and while coordinated scheduling internal battery energy storage station ESS and electric automobile fill electrical changing station BCSS and discharge and recharge; According to peak interval of time electricity price gap, one day cycle of operation was divided into 24 periods and is optimized, and optimize the mutual power of interconnection and fuel cell FC and exert oneself, the scheduling low storage of CDSIS arbitrage occurred frequently, concrete scheduling strategy is as follows:
1) preferentially utilize it to exert oneself and follow the tracks of control maximum power output for photovoltaic and blower fan; Miniature gas turbine is taked electricity determining by heat mode, determines electromotive power output by heat load;
2) each period: not arranging the in the situation that FC is meritorious exerting oneself that micro-grid system is carried out to trend calculating, if can meet trend constraint, determine according to dispatching requirement whether FC exports meritorious, otherwise arrange that FC is meritorious idlely to exert oneself simultaneously;
3) low electricity price and microgrid load lighter period: CDSIS are meeting preferentially charging under carrying capacity and power constraint;
4) ordinary telegram valency and loading the heavier period: preferentially utilize interconnection power to meet workload demand, a cost is sent out in higher electricity price and storage: higher if cost is sent out in storage, CDSIS does not arrange charging and the unappeasable load of interconnection power preferentially to be supplemented by CDSIS; Lower if cost is sent out in storage, after workload demand, preferentially call storage and send out lower-cost micro-source CDSIS is continued to charge meeting;
5) high electricity price and loading the heavier period: preferentially call CDSIS electric discharge meeting under power and carrying capacity constraint; Higher electricity price and FC cost of electricity-generating, if FC cost of electricity-generating is lower, under FC power constraint, increase that FC is meritorious to exert oneself meeting, otherwise FC only need maintain the meritorious reactive balance of system;
6) the optimization cycle end period: judge the current state-of-charge of CDSIS, arrange charge and discharge meeting under power constraint, and coordinated scheduling BCSS and ESS, make CDSIS carrying capacity balance at whole story performance period;
ESS, BCSS coordinated scheduling strategy:
A) the lighter and low electricity price period of load: when scheduling CDSIS charging, the BCSS that gives priority in arranging for charging, changes electric demand to meet the follow-up period;
B) load the heavier and ordinary telegram valency period: scheduling CDSIS when charging, according to BCSS scheduling strategy, if BCSS needs the preferential charging BCSS charging of giving priority in arranging for, otherwise arrange ESS preferentially to charge; When scheduling CDSIS electric discharge, the ESS that gives priority in arranging for electric discharge, to reduce the number of times that discharges and recharges of electrokinetic cell;
C) period in end of term week: preferentially optimize BCSS and make it approach initial launch state, then arrange ESS meeting charge and discharge under power and carrying capacity constraint, realize CDSIS carrying capacity balance at the whole story in cycle.
Described BCSS scheduling strategy: for meeting the continuation of BCSS internally-powered battery charging and discharging, adopt slip window sampling to arrange electrokinetic cell to discharge and recharge, as follows:
1) getting time window is
w=N pBSOC *△
t, the time scale that electrokinetic cell continues to discharge and recharge,
n pBSOC for online electrokinetic cell packet count, online electrokinetic cell is the electrokinetic cell in charge or discharge just,
In formula,
sOC pB, max with
sOC pB, min be respectively electrokinetic cell minimax state-of-charge;
e pB, cap ,
p pB, ch-dis be respectively electrokinetic cell rating load electric weight and the constant power that discharges and recharges;
2) enter the period
t, calculate this period need to open charging meet
t+Wperiod is changed the electrokinetic cell number of electric demand, as follows:
In formula:
n need, exch (t), n full (t), n i, ch (t)be respectively the period
tin change electric demand, completely fill electrokinetic cell number and state-of-charge in the
igroup and the electrokinetic cell number charging;
3) change under the prerequisite of electric demand meeting, calculate average electricity price in sliding window W with decision-making BCSS charge and discharge:
if average electricity price lower than preferential charging electricity price BCSS preferentially charge;
if average electricity price equals high electricity price, illustrate that whole time window is in the high electricity price period, BCSS preferential discharge;
if average electricity price is greater than preferential charging electricity price and is not more than ordinary telegram valency, to expand sliding window be 1.5W and calculate 1.5W average electricity price, if now window average electricity price becomes large, illustrates that follow-up period electricity price raises, BCSS preferentially charges, otherwise only need meet the electric demand of changing;
4) each period end, will wait to fill and completely fill electrokinetic cell and number respectively and put into respective queue, will after time window, move, optimize next period.In the optimization cycle end period, optimization BCSS discharges and recharges and makes it approach initial launch state.
Beneficial effect of the present invention is: the present invention is based on the microgrid economical operation method that charges and discharge storage integrated power station scheduling, electric automobile, by filling electrical changing station access microgrid, has been improved to the utilance of regenerative resource; To fill electrical changing station and energy storage station cooperation, for electrokinetic cell provides the comparatively stable environment that discharges and recharges, and the utilization of electrokinetic cell echelon improved electrokinetic cell utilization ratio, and electrokinetic cell supports for energy storage station provides adjustable capacity simultaneously, realizes doulbe-sides' victory.
Brief description of the drawings
Fig. 1 is that the present invention charges and discharge the storage each model in integrated power station and graph of a relation;
Fig. 2 is slip window sampling schematic diagram of the present invention;
Fig. 3 is carrying capacity bound of the present invention, tou power price, CDSIS carrying capacity Optimal Curve figure;
Fig. 4 is the meritorious optimum results figure of the present invention;
Fig. 5 is that tou power price of the present invention, sliding window average electricity price and BCSS discharge and recharge signature;
Fig. 6 is that the present invention changes electric demand and electrokinetic cell optimum results figure;
Fig. 7 is microgrid structure chart of the present invention.
Embodiment
The present invention combines to form and charges and discharge the integrated power station of storage by electric automobile being filled to electrical changing station and batteries to store energy station, and accesses microgrid.Integrated power station is participated in to the scheduling of microgrid economic optimization as a whole, and according to filling the different qualities demand of changing station and energy storage station, coordinate integrated power station and discharge and recharge power at energy storage station and fill the distribution of changing between station.
Technical scheme of the present invention is as follows:
One, micro-grid system modeling:
1, charge and discharge storage integrated power station (CDSIS) system model, about the each model of CDSIS and relation as shown in Figure 1.Make a concrete analysis of as follows:
1) CDSIS moving model
Suppose that electrokinetic cell and energy-storage battery in CDSIS are lead acid accumulator, therefore CDSIS system is described as a whole to its state-of-charge model and running wastage model.
A:CDSIS system state-of-charge model
CDSIS is in period end
tstate-of-charge model representation as follows:
In formula:
sOC (t)for
tthe state-of-charge of period end,
sOC(
t-1) be a upper moment
t-1 section of last state-of-charge, unit dimension;
p c (t),
p d (t)be respectively
tin period, fill, discharge of electricity power; △
efor the electric energy from loss in the unit interval;
η ch , η dis be respectively charging, discharging efficiency;
e cap for total capacity;
ω c with
ω d control mark for discharging and recharging, when charge or discharge
ω c +
ω d =1, when floating charge
ω c +
ω d =0.State-of-charge
sOC (t)with dump energy
e (t)pass is:
e (t)=SOC (t)x
e cap .Cross film playback and ring useful life, setting maximum, minimum state-of-charge for preventing accumulator super-charge
sOC max ,
sOC min .
B:CDSIS running wastage model
Lead acid accumulator uses under low charged level and minimum charging current, and it is large that life consumption becomes, and the impact for above factor on service lifetime of accumulator has been set up CDSIS system and discharged and recharged cost depletions model:
In formula:
c init for storage battery is bought cost of investment,
nfor cycle charge-discharge number of times, visible accumulator cell charging and discharging life consumption cost
(C ch ,
c dis )by charge and discharge cost coefficient
(l ch , l dis )determine, and charge and discharge cost coefficient is by discharging and recharging state-of-charge at the whole story
(SOC start ,
sOC end )with charge and discharge factor of influence
(k ch ,
k dis )and charge power factor of influence
(k power )institute determines.This model shows: the charged level of storage battery is lower, and depth of discharge is larger, and loss is larger; When charging is in the time that small-power is moved,
k power will be right
λ ch exert an influence.
C: electric automobile fills electrical changing station BCSS charging and recharging model
Electrokinetic cell in BCSS is done to two settings: 1) on charge and discharge power invariability and numerical value, equate; 2) once opening, charge and discharge will last till that this process finishes.Therefore BCSS charging and recharging model is:
In formula:
n pB, ch , n pB, dis be respectively the just electrokinetic cell number in charge and discharge;
p pB, ch , P pB, dis being respectively the charge and discharge power of electrokinetic cell, is steady state value; The charge and discharge power of visible BCSS
p bCSS, ch , P bCSS, dis be centrifugal pump.
D:BCSS changes electric demand model
Suppose that BCSS only changes electricity service for electric household automobile provides, and all electrokinetic cells are same standard.Vehicle daily travel is approximately logarithm normal distribution, and its probability density function is:
In formula:
σ d =3.20,
μ d =0.88
; xfor operating range.The expectation that can be calculated electric automobile day operating range by formula (5) is:
According to the development level of current electric household automobile, suppose that per 100 km power consumption is 10
kWh, in this microgrid, have
n eV electric household automobile, the electric weight demand of every day is 0.1
e (x) N eV .Electric household car day change electric probability distribution can think to charging probability of demand distribute similar, and Normal Distribution
n(13,6).
2) CDSIS Optimized model
A: cost is sent out in storage
Cost is sent out in storage
(C ch-dis )by charging electricity price cost, efficiency for charge-discharge cost depletions and accumulator cell charging and discharging life consumption cost structure, be expressed as follows:
In formula:
c g for micro-source unit quantity of electricity cost (also using interconnection as micro-source,
c g be electricity price);
η ch ,
η dis be respectively charge and discharge efficiency;
c ch , C dis be respectively accumulator cell charging and discharging life consumption cost, referring to formula (2).
The classification of B:BCSS electrokinetic cell
According to BCSS internally-powered power of battery interaction mode, the electrokinetic cell in charge or discharge is just called to online electrokinetic cell, the electrokinetic cell that fills waiting or completely fill is called off-line electrokinetic cell.
A) online electrokinetic cell grouping
The state-of-charge that judges for convenience online power battery pack, is divided into
n pBSOC group, expression formula is as follows:
In formula,
sOC pB, max with
sOC pB, min be respectively electrokinetic cell minimax state-of-charge;
e pB, cap ,
p pB, ch-dis be respectively electrokinetic cell rating load electric weight and the constant power that discharges and recharges.By formula (8) known
i (i=1 ...., N pBSOC ) group electrokinetic cell state-of-charge scope be (
sOC pB, i, sOC pB, i+1 ], wherein:
In formula: △
sOC pB for the state-of-charge variable quantity of unit interval internally-powered battery.Known, the period
tin the
ithe electrokinetic cell of group has two states: charging enters the
i+1 group or fully charged state; Electric discharge enters the
i-1 group or state to be filled.
According to the grouping of online electrokinetic cell can by each period to change electric constraint specification as follows:
In formula:
n i, ch (t), n full (t), n need (t)be respectively the period
tin in
igroup charging electrokinetic cell number, completely fill electrokinetic cell number and change electric demand.From formula (10), when n=1,
tin period the
n pBSOC the electrokinetic cell of group completes charging and can meet
t+1 period was changed electric demand; When n=2,
n pSOC -the electrokinetic cell of 1 group can meet
t+ 2 periods were changed electric demand, had met by that analogy the electric demand of changing of whole cycle.
B) off-line electrokinetic cell queue
Affect useful life for avoiding electrokinetic cell frequent transitions to charge and discharge state, number respectively and form queue to completely filling electrokinetic cell and electrokinetic cell to be filled, according to be full of laggard enter the sequencing scheduling of queue use.
2, microgrid operation optimization aim
Economic benefit is that microgrid attracts user and make its key factor of being promoted in electric power system, and for reducing operating cost, emphasis considers to utilize peak interval of time electricity price gap, the low electricity price period charging of guiding CDSIS, and high electricity price period electric discharge realizes arbitrage.
Formulate the period
tinterior microgrid moves virtual cost
c* (t)be described below:
In formula:
c (t)for the period
tinterior microgrid actual cost;
p cDSIS ≤ 0represent CDSIS charging, now virtual cost be actual cost deduct prospective earnings (
c* income (t), now CDSIS charge capacity is desirably in to the high electricity price period and sells the income of acquisition),
p max for high electricity price,
c ch-dis (t)for cost is sent out in storage;
p cDSIS (t)>0 represents CDSIS electric discharge, now virtual cost be actual cost add expected loss (
c* loss (t), now can not sell the loss causing in the high electricity price period to the electric weight of CDSIS electric discharge),
p (t)for the period
telectricity price.The microgrid period in formula (11)
tinterior operating cost
c (t)be expressed as:
In formula:
c f (t),
c dP (t),
c oM (t),
c e (t),
c grid (t)be respectively the period
tfuel cost, investment depreciable cost, operation expense, Environmental costs, microgrid and the mutual cost of outer net power in interior each micro-source; Wherein
c grid (t)be expressed as:
c grid (t)=
p grid (t)×
p (t),
p grid (t),
p (t)be respectively
tthe meritorious mutual power of microgrid and outer net interconnection and electricity price in period,
p grid (t)>0 represents that microgrid is from outer net power purchase,
p grid (t)<0 represents that microgrid is to outer net sale of electricity.Suppose that microgrid can meet internal heat, electrical load requirement and change electric demand, does not therefore consider heat, electric income and changes electric income.
From formula (11-12), CDSIS charges more in the time that electricity price is lower, and prospective earnings are larger, and virtual cost is less, thereby makes a profit and provide more electric weight to support for high electricity price sale of electricity; Electricity price when CDSIS electric discharge is higher, and expected loss is less, and virtual cost is less, thereby makes largely prospective earnings become actual gain, therefore formulates the period
tinterior stage optimization aim is:
Formula (14) is optimization aim, by the optimization to each stage and then reduce whole periodic duty cost.
3, the constraints of considering
1) CDSIS system operation constraint
In formula: P
cDSIS, ch, min, P
cDSIS, ch, max, P
cDSIS, dis, min, P
cDSIS, dis, maxbe respectively CDSIS system minimum, maximum charge power, minimum, maximum discharge power; S
cDSIS, inv, max, Q
cDSIS(t) be CDSIS inverter rated capacity and reactive power.
2) fuel cell (FC) operation constraint
In formula:
p fC, min , P fC, max be respectively fuel cell minimum, maximum meritorious exerting oneself;
p fC (t), Q fC (t)be respectively the period
tmeritorious, the reactive power of fuel battery AC;
s fCinv, max for fuel cell inverter rated capacity.
Two, the microgrid economic operation strategy based on CDSIS scheduling
For improving the economic benefit in whole service cycle under microgrid net mode, not only to consider Unit Combination and an electric energy scheduling in the time period, intersegmental coupled relation while also needing to consider difference.Its meritorious idle exerting oneself using CDSIS as energy-storage system global optimization, the inner ESS of coordinated scheduling and BCSS discharge and recharge simultaneously.One day cycle of operation was divided into 24 periods and is optimized.
1, CDSIS scheduling strategy
According to peak interval of time electricity price gap, optimize the mutual power of interconnection and fuel cell FC and exert oneself, the scheduling low storage of CDSIS arbitrage occurred frequently.Optimized Operation strategy is as follows:
1) preferentially utilize it to exert oneself and follow the tracks of control maximum power output for photovoltaic and blower fan; Miniature gas turbine is taked electricity determining by heat mode, determines electromotive power output by heat load.
2) each period: not arranging the in the situation that FC is meritorious exerting oneself that micro-grid system is carried out to trend calculating, if can meet trend constraint, determine according to dispatching requirement whether FC exports meritorious, otherwise arrange that FC is meritorious idlely to exert oneself simultaneously.
3) low electricity price and microgrid load lighter period: CDSIS are meeting preferentially charging under carrying capacity and power constraint.
4) ordinary telegram valency and loading the heavier period: preferentially utilize interconnection power to meet workload demand.Cost is sent out in higher electricity price and storage: higher if cost is sent out in storage, CDSIS does not arrange charging and the unappeasable load of interconnection power preferentially to be supplemented by CDSIS; Lower if cost is sent out in storage, after workload demand, preferentially call storage and send out lower-cost micro-source CDSIS is continued to charge meeting.
5) high electricity price and loading the heavier period: preferentially call CDSIS electric discharge meeting under power and carrying capacity constraint; Higher electricity price and FC cost of electricity-generating, if FC cost of electricity-generating is lower, under FC power constraint, increase that FC is meritorious to exert oneself meeting, otherwise FC only need maintain the meritorious reactive balance of system.
6) the end period: judge the current state-of-charge of CDSIS, arrange charge and discharge meeting under power constraint, and coordinated scheduling BCSS and ESS, make CDSIS carrying capacity balance at whole story performance period.
2, BCSS scheduling strategy
For meeting the continuation of BCSS internally-powered battery charging and discharging, adopt slip window sampling to arrange electrokinetic cell to discharge and recharge.Scheduling strategy is described below:
1) getting time window is
w=N pBSOC *△
t, the time scale that electrokinetic cell continues to discharge and recharge,
n pBSOC for online electrokinetic cell packet count is referring to formula (8).Shown in sliding window accompanying drawing 2.
2) enter the period
t, calculate this period need to open charging meet
t+Wperiod is changed the electrokinetic cell number of electric demand, is described below:
In formula:
n need, exch (t), n full (t), n i, ch (t)be respectively the period
tin change electric demand, completely fill electrokinetic cell number and state-of-charge in the
igroup and the electrokinetic cell number charging.
3) change under the prerequisite of electric demand meeting, calculate average electricity price in sliding window W with decision-making BCSS charge and discharge:
if average electricity price lower than preferential charging electricity price (getting 0.3 yuan) BCSS preferentially charge;
if average electricity price equals high electricity price, illustrate that whole time window is in the high electricity price period, BCSS preferential discharge;
if average electricity price is greater than preferential charging electricity price and is not more than ordinary telegram valency, to expand sliding window be 1.5W and calculate 1.5W average electricity price, if now window average electricity price becomes large, illustrates that follow-up period electricity price raises, BCSS preferentially charges, otherwise only need meet the electric demand of changing.
4) each period end, will wait to fill and completely fill electrokinetic cell and number respectively and put into respective queue, will after time window, move, optimize next period.In the optimization cycle end period, optimization BCSS discharges and recharges and makes it approach initial launch state.
2, ESS, BCSS coordinated scheduling strategy
1) the lighter and low electricity price period of load: when scheduling CDSIS charging, the BCSS that gives priority in arranging for charging, changes electric demand to meet the follow-up period.
2) load the heavier and ordinary telegram valency period: scheduling CDSIS when charging, according to BCSS scheduling strategy, if BCSS needs the preferential charging BCSS charging of giving priority in arranging for, otherwise arrange ESS preferentially to charge; When scheduling CDSIS electric discharge, the ESS that gives priority in arranging for electric discharge, to reduce the number of times that discharges and recharges of electrokinetic cell.
3) period in end of term week: preferentially optimize BCSS and make it approach initial launch state, then arrange ESS meeting charge and discharge under power and carrying capacity constraint, realize CDSIS carrying capacity balance at the whole story in cycle.
Three, simulating, verifying
Based on above-mentioned proposition " based on the microgrid economical operation that charges and discharge storage integrated power station scheduling ", with concrete micro-grid system structure (as accompanying drawing 7, system parameters is as shown in subordinate list 1), programmes and carry out simulating, verifying by C++.
Table 1
Operation result by accompanying drawing 3 can be seen, CDSIS under carrying capacity limit value constraint, the higher period electric discharge of the lower period charging of electricity price, low storage is occurred frequently realizes arbitrage, and meet carrying capacity balance at the whole story in the end of term in week, ensure the validity of optimisation strategy in next cycle.CDSIS operates in limit value all the time, has both met workload demand, also can be microgrid and proceeds to unplanned lonely network operation and provide urgent power to support, and has improved power supply reliability.In whole optimization cycle, 2 trickle charge of CDSIS and electric discharge, reduced scheduling complexity, and operated in more highly charged level, extended the useful life of storage battery.
By Fig. 4, can obtain as drawn a conclusion:
1) in the 0:00-7:00 period, load is light and be low electricity price, and uncontrollable micro-source (MT, PV, WT) is preferably CDSIS charging after meeting workload demand, and outer net also charges taking larger power as CDSIS simultaneously; According to 2.2 joint strategies, within the 0:00-6:00 period, sliding window average electricity price is lower, meets preferential charging requirement, and BCSS charges with maximum power.
2) 7:00-8:00, in the 11:00-17:00 period, load increases and is ordinary telegram valency, uncontrollable micro-source is difficult to meet workload demand, interconnection storage is sent out cost and now by interconnection, CDSIS is charged lower than high electricity price and discharge and can make a profit in the time of high electricity price, and therefore interconnection preferentially meets workload demand and continues as CDSIS charging.According to 2.2 joint strategies, 7:00-8:00 sliding window average electricity price is higher, and therefore BCSS only meets and changes the charging of electric demand; The 11:00-15:00 period, for continuing the ordinary telegram valency period, preferentially charges.
3) 8:00-11:00,17:00-22:00 period internal loading is heavier and be high electricity price, arranges CDSIS to discharge with maximum power; Fuel cell power generation cost, lower than high electricity price, therefore increases its meritorious exerting oneself and meets after workload demand, makes a profit to outer net sale of electricity.BCSS meets electric discharge requirement within the 17:00-22:00 period, the ESS that therefore gives priority in arranging for electric discharge, and open BCSS part electrokinetic cell and discharge to make a profit.
4) enter the 22:00-23:00 period, judge the current state-of-charge of CDSIS, now carrying capacity is less, is difficult to performance period Mo carrying capacity balance, therefore preferentially adjusts BCSS and charges to approach initial launch state, then arranges ESS charging.
5) the 23:00-24:00 period, continue, to ESS and BCSS charging, to make CDSIS carrying capacity meet Constraints of Equilibrium at the whole story in cycle, BCSS approaches initial launch state.
When this operational mode makes microgrid meet workload demand and electric automobile to change electric demand, realize the low storage of CDSIS profit occurred frequently.By to ESS flexible dispatching, make BCSS with the more stable Power operation that discharges and recharges, and BCSS provides capacity to support for ESS participates in micro-grid system adjusting to a certain extent, thereby realized Synergistic.Within whole dispatching cycle, interconnection paddy at ordinary times section for microgrid charge, the peak period, to electrical network feed, contributes to, to major network " peak load shifting ", to realize " doulbe-sides' victory " of microgrid and major network.
Fig. 5 is known: when sliding window average electricity price is difficult to decision-making BCSS while discharging and recharging, expand as 1.5 times of sliding windows, carry out decision-making by electricity price variation tendency, for example 6, the 12-14 period raises according to 1.5 times of known follow-up period electricity prices of window average electricity price, BCSS is preferentially charged.
The optimum results of accompanying drawing 6 shows, in lower electricity price continues the longer period, BCSS preferentially charges, and meets after changing electric demand and arrange the electric discharge of part electrokinetic cell to make a profit in high electricity price sustained periods of time.In each period, need the electrokinetic cell number of opening to be less than 0, illustrate that electrokinetic cell meets and changes electric demand and have residue all the time.By this scheduling strategy, realize the electrokinetic cell of BCSS in paddy section charging at ordinary times, part surplus electric energy was emitted in the peak period, had improved economic benefit, and had excavated the value of electric automobile peak load shifting.
By simulating, verifying charge and discharge the integrated power station of storage and participate in microgrid economical operation for reducing the negative effect of electric automobile to microgrid and coordinating energy storage station to realize the superiority of economical operation.
Claims (2)
1. the microgrid economical operation method based on charging and discharging storage integrated power station scheduling, it is characterized in that, electric automobile is filled to electrical changing station and batteries to store energy station to be combined to form and charges and discharge the integrated power station of storage, be CDSIS, and access microgrid, CDSIS is as its meritorious idle exerting oneself of energy-storage system global optimization, and while coordinated scheduling internal battery energy storage station ESS and electric automobile fill electrical changing station BCSS and discharge and recharge; According to peak interval of time electricity price gap, one day cycle of operation was divided into 24 periods and is optimized, and optimized the mutual power of interconnection and fuel cell FC and exerted oneself, and the low storage of scheduling CDSIS is occurred frequently, and concrete scheduling strategy is as follows:
1) preferentially utilize it to exert oneself and follow the tracks of control maximum power output for photovoltaic and blower fan; Miniature gas turbine is taked electricity determining by heat mode, determines electromotive power output by heat load;
2) each period: not arranging the in the situation that FC is meritorious exerting oneself that micro-grid system is carried out to trend calculating, if can meet trend constraint, determine according to dispatching requirement whether FC exports meritorious, otherwise arrange that FC is meritorious idlely to exert oneself simultaneously;
3) low electricity price and microgrid load lighter period: CDSIS are meeting preferentially charging under carrying capacity and power constraint;
4) ordinary telegram valency and loading the heavier period: preferentially utilize interconnection power to meet workload demand, a cost is sent out in higher electricity price and storage: higher if cost is sent out in storage, CDSIS does not arrange charging and the unappeasable load of interconnection power preferentially to be supplemented by CDSIS; Lower if cost is sent out in storage, after workload demand, preferentially call storage and send out lower-cost micro-source CDSIS is continued to charge meeting;
5) high electricity price and loading the heavier period: preferentially call CDSIS electric discharge meeting under power and carrying capacity constraint; Higher electricity price and FC cost of electricity-generating, if FC cost of electricity-generating is lower, under FC power constraint, increase that FC is meritorious to exert oneself meeting, otherwise FC only need maintain the meritorious reactive balance of system;
6) the optimization cycle end period: judge the current state-of-charge of CDSIS, arrange charge and discharge meeting under power constraint, and coordinated scheduling BCSS and ESS, make CDSIS carrying capacity balance at whole story performance period;
ESS, BCSS coordinated scheduling strategy:
A) the lighter and low electricity price period of load: when scheduling CDSIS charging, the BCSS that gives priority in arranging for charging, changes electric demand to meet the follow-up period;
B) load the heavier and ordinary telegram valency period: scheduling CDSIS when charging, according to BCSS scheduling strategy, if BCSS needs the preferential charging BCSS charging of giving priority in arranging for, otherwise arrange ESS preferentially to charge; When scheduling CDSIS electric discharge, the ESS that gives priority in arranging for electric discharge, to reduce the number of times that discharges and recharges of electrokinetic cell;
C) period in end of term week: preferentially optimize BCSS and make it approach initial launch state, then arrange ESS meeting charge and discharge under power and carrying capacity constraint, realize CDSIS carrying capacity balance at the whole story in cycle.
2. according to claim 1 based on charging and discharging the microgrid economical operation method of storing up the scheduling of integrated power station, it is characterized in that, described BCSS scheduling strategy: for meeting the continuation of BCSS internally-powered battery charging and discharging, adopt slip window sampling to arrange electrokinetic cell to discharge and recharge, as follows:
1) getting time window is
w=N pBSOC *△
t, the time scale that electrokinetic cell continues to discharge and recharge,
n pBSOC for online electrokinetic cell packet count, online electrokinetic cell is the electrokinetic cell in charge or discharge just,
In formula,
sOC pB, max with
sOC pB, min be respectively electrokinetic cell minimax state-of-charge;
e pB, cap ,
p pB, ch-dis be respectively electrokinetic cell rating load electric weight and the constant power that discharges and recharges;
2) enter the period
t, calculate this period need to open charging meet
t+Wperiod is changed the electrokinetic cell number of electric demand, as follows:
In formula:
n need, exch (t), n full (t), n i, ch (t)be respectively the period
tin change electric demand, completely fill electrokinetic cell number and state-of-charge in the
igroup and the electrokinetic cell number charging;
3) change under the prerequisite of electric demand meeting, calculate average electricity price in sliding window W with decision-making BCSS charge and discharge:
if average electricity price lower than preferential charging electricity price BCSS preferentially charge;
if average electricity price equals high electricity price, illustrate that whole time window is in the high electricity price period, BCSS preferential discharge;
if average electricity price is greater than preferential charging electricity price and is not more than ordinary telegram valency, to expand sliding window be 1.5W and calculate 1.5W average electricity price, if now window average electricity price becomes large, illustrates that follow-up period electricity price raises, BCSS preferentially charges, otherwise only need meet the electric demand of changing;
4) each period end, will wait to fill and completely fill electrokinetic cell and number respectively and put into respective queue, will after time window, move, optimize next period, in the optimization cycle end period, optimize BCSS and discharge and recharge and make it approach initial launch state.
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