CN108448632A - The alternating current-direct current microgrid in a few days rolling optimal dispatching method of meter and energy storage charge state cycle - Google Patents

The alternating current-direct current microgrid in a few days rolling optimal dispatching method of meter and energy storage charge state cycle Download PDF

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CN108448632A
CN108448632A CN201810384935.2A CN201810384935A CN108448632A CN 108448632 A CN108448632 A CN 108448632A CN 201810384935 A CN201810384935 A CN 201810384935A CN 108448632 A CN108448632 A CN 108448632A
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few days
energy storage
direct current
power
alternating current
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CN108448632B (en
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顾伟
邱海峰
周苏洋
吴志
窦晓波
吴在军
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Southeast University
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Southeast University
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    • H02J3/382
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a kind of meter and the alternating current-direct current microgrid in a few days rolling optimal dispatching methods of energy storage charge state cycle, include the following steps:Step 10)Obtain the operation plan a few days ago of alternating current-direct current microgrid;Step 20)The operating cost coefficient of each equipment and operation limit value in alternating current-direct current microgrid are obtained, step 10 is based on)Operation plan a few days ago establish the in a few days short term scheduling model of alternating current-direct current microgrid;Step 30)Based on step 10)With step 20)Establish the in a few days Real-Time Scheduling model of alternating current-direct current microgrid;Step 40)Solution procedure 20)With step 30)The alternating current-direct current microgrid of composition in a few days rolling optimal dispatching model obtains the in a few days operational plan of alternating current-direct current microgrid.This method considers the rolling optimization of in a few days Multiple Time Scales, and limits the whole story state-of-charge of energy storage, ensures the ability of energy storage round-robin scheduling, formulates rational alternating current-direct current microgrid in a few days traffic control plan.

Description

The alternating current-direct current microgrid in a few days rolling optimal dispatching method of meter and energy storage charge state cycle
Technical field
The present invention relates to the energy management of micro-capacitance sensor and Optimum Scheduling Technology field, especially a kind of meter and the charged shape of energy storage The alternating current-direct current microgrid in a few days rolling optimal dispatching method of state cycle.
Background technology
More and more regenerative resources access electric system by microgrid, and regenerative resource permeability carries significantly in power grid Height, these regenerative resources greatly reduce environmental pollution, improve the economic benefit of power generation, however regenerative resource and nature Condition is closely related, and stronger uncertain and prediction error brings huge challenge to the safety and economic operation of power grid.In advance The time scale of survey is shorter, and source lotus precision of prediction is higher, therefore the operation plan a few days ago of long period scale can not be arrived in the period It is directly used when coming, microgrid should suitably be adjusted according in a few days more accurate prediction data, for the implementing plan of microgrid With execution.
Having in a few days rolling optimal dispatching, only comprising a time scale, regulating power is limited, while not yet considering each The energy storage final states for rolling the period, can not ensure the cycle regulating power of energy-storage system.It diesel-driven generator start and stop state and two-way changes There is coupling in stream device operating status, can not carry out real-time adjusting in a few days, therefore the optimum results a few days ago of the two in time It is updated in a few days Optimized model as determining operation plan.
Invention content
The technical problem to be solved by the present invention is to overcome the deficiencies in the prior art, and provide it is a kind of meter and the charged shape of energy storage The alternating current-direct current microgrid in a few days rolling optimal dispatching method of state cycle, this method propose comprising in a few days short-term and roll in real time excellent Change scheduling model, defines that the energy storage whole story state in a few days dispatched, the initial state-of-charge of energy storage are the reality of current energy storage in model Border state-of-charge, i.e. in a few days real-time optimum results, and the deviation penalty term of latter stage state-of-charge is increased in object function, it should Restriction will in a few days dispatch with dispatch contact a few days ago, while in a few days real-time results will feed back in a few days short term scheduling, ensure that Energy storage healthily charge and discharge cycles under prediction deviation.
The present invention uses following technical scheme to solve above-mentioned technical problem:
According to a kind of meter proposed by the present invention and the alternating current-direct current microgrid in a few days rolling optimal dispatching of energy storage charge state cycle Method includes the following steps:
Step 10, the operation plan a few days ago for obtaining alternating current-direct current microgrid;
Step 20 obtains the operating cost coefficient of each equipment and operation limit value, the day based on step 10 in alternating current-direct current microgrid Preceding operation plan establishes the in a few days short term scheduling model of alternating current-direct current microgrid;
Step 30, the in a few days Real-Time Scheduling model that alternating current-direct current microgrid is established based on step 10 and step 20;
The alternating current-direct current microgrid that step 40, solution procedure 20 and step 30 form in a few days rolling optimal dispatching model, is handed over The in a few days operational plan of direct-current micro-grid.
As a kind of meter of the present invention and the alternating current-direct current microgrid in a few days rolling optimal dispatching of energy storage charge state cycle Method advanced optimizes scheme, and in the step 10, the operation plan a few days ago of the alternating current-direct current microgrid of acquisition includes diesel-driven generator The state plan of startup-shutdown a few days ago, the commutation states of the forward and reverse a few days ago plan of bi-directional inverter and the day of energy storage day part Preceding state-of-charge plan.
As a kind of meter of the present invention and the alternating current-direct current microgrid in a few days rolling optimal dispatching of energy storage charge state cycle Method advanced optimizes scheme, in the step 20, the operating cost coefficient of each equipment and operation in the alternating current-direct current microgrid of acquisition Limit value include with wind turbine, photovoltaic, diesel-driven generator, energy storage, bi-directional inverter and the relevant all cost systems of alternating current-direct current load Number and operation limit value, the scheduling meter a few days ago for the alternating current-direct current microgrid that acquired cost coefficient, operation limit value and step 10 are obtained Draw the in a few days short term scheduling model for substituting into and establishing alternating current-direct current microgrid in following formula:
0≤PWT,h≤wh,0≤PPV,h≤ph (6)
Formula (1) is the object function of in a few days short term scheduling model;Formula (2)-(5) are in a few days short term scheduling model objective function In each cost specific formula for calculation;Formula (6) constrains for the generated output of wind turbine and photovoltaic in a few days short term scheduling model;Formula (7) power bound and Ramp Rate constraint are run for diesel-driven generator in a few days short term scheduling model;Formula (8)-(9) are in a few days Energy storage maximum charge-discharge electric power and state-of-charge constraint in short term scheduling model;Formula (10)-(11) are in a few days short term scheduling model The transducing power and power swing of middle bi-directional inverter constrain;The power that formula (12) cuts off for load in a few days short term scheduling model Constraint;Formula (13)-(14) are the power-balance constraint of in a few days DC area and exchanging area in short term scheduling model;PWT,h、PPV,h、 PDE, hWithRespectively in a few days wind turbine, photovoltaic, diesel oil are sent out in short term scheduling model Motor, energy storage charging, energy storage electric discharge, the change of current of bi-directional inverter forward direction, the reversed change of current of bi-directional inverter, AC load excision and straight Stream load cuts off operation power in the h periods, wherein bi-directional inverter from the change of current of alternating-current/direct-current be the positive change of current, from direct current It is the reversed change of current to the change of current of exchange;For the fuel cost of diesel-driven generator; With The respectively operation expense of diesel-driven generator, energy storage, bi-directional inverter, wind turbine and photovoltaic;WithFor the lotus of energy storage Electricity condition deviation is punished and cost depletions;Power failure punishment cost is cut off for load;For the fuel cost of diesel-driven generator Coefficient;NhFor in a few days short term scheduling period it is total when hop count, Δ h is the time interval of in a few days short term scheduling period; aDEAnd bDEFor the oil consumption characteristic cost coefficient of diesel-driven generator;For the rated power of diesel-driven generator;For in step 10 The state plan of startup-shutdown a few days ago of the diesel-driven generator of acquisition,Indicate diesel-driven generator at the t periods a few days ago when value is 1 It indicates to be in shutdown status in open state, when value is 0;WithRespectively diesel oil Generator, energy storage, bi-directional inverter, wind turbine and photovoltaic operation expense coefficient;For the state-of-charge deviation of energy storage Punishment cost coefficient;S(Nh) be energy storage in NhThe state-of-charge of period;S (t) * be in step 10 energy storage that obtains in the t periods State-of-charge plan a few days ago;For energy storage cost depletions coefficient;Power failure punishment cost coefficient is cut off for load;whAnd phFor The power prediction value of wind turbine and photovoltaic in the h periods;WithTo run the upper limit value of power under diesel-driven generator open state And lower limiting value,WithFor the rate limit value of lower climbing and upper climbing in the unit time period of diesel-driven generator;WithFor the maximum charge and discharge power limit value of energy storage;S (h) and S (h-1) is state-of-charge of the energy storage in h the and h-1 periods; ηCAnd ηDFor energy storage efficiency for charge-discharge;SmaxAnd SminIt is energy storage in this scheduling to allow the upper lower limit value of state-of-charge, S (0) for energy storage The initial state-of-charge in period;S (k) * be in step 10 energy storage that obtains in the state-of-charge plan a few days ago of k periods;It is step The positive commutation states plan of the t periods obtained in rapid 10 bi-directional inverter a few days ago, 1 indicates that the t periods have the positive change of current, 0 table Show that there is no the positive changes of current;It is the reversed commutation states plan of t periods for being obtained in step 10 bi-directional inverter a few days ago, 1 It indicates the t periods and there are the negative sense change of current, 0 indicates that the negative sense change of current is not present;WithIndicate bi-directional inverter forward and reverse The operation power limit of the change of current,WithLower limiting value and upper limit value of the expression bi-directional inverter in adjacent time interval power swing;WithIt is the maximum load curtailment power limit of h period AC and DCs;WithFor bi-directional inverter Forward and reverse change of current efficiency limit value;lac,hAnd ldc,hThe respectively power prediction value of AC load and DC load in the h periods.
As a kind of meter of the present invention and the alternating current-direct current microgrid in a few days rolling optimal dispatching of energy storage charge state cycle Method advanced optimizes scheme, and in the step 30, cost coefficient and operation limit value, step 20 that step 20 is obtained are in a few days The operation plan a few days ago that short term scheduling model and step 10 obtain substitutes into the in a few days Real-Time Scheduling that alternating current-direct current microgrid is established in following formula Model:
0≤PWT,k≤wk,0≤PPV,k≤pk (20)
Formula (15) is the object function of in a few days Real-Time Scheduling model;Formula (16)-(19) are in a few days Real-Time Scheduling simulated target The specific formula for calculation of each cost in function;Formula (20) is that in a few days the generated output of wind turbine and photovoltaic is about in Real-Time Scheduling model Beam;Formula (21) runs power bound and Ramp Rate constraint for diesel-driven generator in a few days Real-Time Scheduling model;Formula (22)- (23) it is energy storage maximum charge-discharge electric power in a few days Real-Time Scheduling model and state-of-charge constraint;Formula (24)-(25) are in a few days real When scheduling model in bi-directional inverter transducing power and power swing constraint;Formula (26) is load in a few days Real-Time Scheduling model The power constraint of excision;Formula (27)-(28) are the power-balance constraint of in a few days DC area and exchanging area in Real-Time Scheduling model; PWT, k、PPV, k、PDE, kWithRespectively in a few days wind turbine, light in Real-Time Scheduling model Volt, diesel-driven generator, energy storage charging, energy storage electric discharge, the change of current of bi-directional inverter forward direction, the reversed change of current of bi-directional inverter, exchange are negative Lotus cuts off and DC load cuts off the operation power in the k periods;NkFor in a few days Real-Time Scheduling period it is total when hop count, Δ k For the time interval of in a few days Real-Time Scheduling period;S(Nk) be energy storage in NkThe state-of-charge of period;S (h) * are step 20) In a few days short term scheduling state-of-charge plan of the middle energy storage in the h periods;wkAnd pkFor wind turbine and photovoltaic the k periods in a few days real-time work( Rate predicted value;S (k) and S (k-1) is state-of-charge of the energy storage in k the and k-1 periods;WithBe exchange the k periods and The maximum load curtailment power limit of direct current;lac,kAnd ldc,kRespectively AC load and DC load are pre- in the power of k periods Measured value.
As a kind of meter of the present invention and the alternating current-direct current microgrid in a few days rolling optimal dispatching of energy storage charge state cycle Method advanced optimizes scheme, in the step 40, the alternating current-direct current microgrid that step 20 and step 30 form in a few days is rolled excellent Change scheduling model, calls solver CPLEX to iteratively solve the model using integer Optimization Modeling tool box YALMIP, obtain and hand over directly Flow the in a few days operational plan of microgrid.
The present invention has the following technical effects using above technical scheme is compared with the prior art:
In a few days Multiple Time Scales Optimized Operation predicts that fluctuation carries out multilevel optimization's adjusting according to source lotus, rises to a certain extent To the cushioning effect of power regulation, the wind of abandoning reduced in microgrid abandons light and load excision situation, reduces operating cost;In addition in nothing In the in a few days scheduling model that energy storage whole story state limits, energy storage early period can abundant charge and discharge, but can not ensure next rolling period The primary state electricity of energy storage, as the period elapses, energy storage multiple discharge to minimum state-of-charge, the regulating power of energy storage subsequent period It is limited, cause whole service expense to greatly increase after accumulation, energy storage at this time can not also be restored to the charged of next day dispatching requirement State.Energy storage whole story state constraint in this method can ensure the cycle regulating power of energy-storage system, improve system operation Economy.
Description of the drawings
Fig. 1 is the flow chart of the embodiment of the present invention.
Fig. 2 is the topology diagram of alternating current-direct current microgrid in the embodiment of the present invention.
Fig. 3 operation plans for source lotus prediction power in the embodiment of the present invention and a few days ago;Wherein, (a) is the embodiment of the present invention In in a few days short term scheduling source lotus power prediction nominal value, (b) be the in a few days source lotus power of Real-Time Scheduling in the embodiment of the present invention It predicts nominal value, is (c) operation plan a few days ago of the alternating current-direct current microgrid obtained in the embodiment of the present invention.
Fig. 4 is the Optimized Operation result of the embodiment of the present invention;Wherein, (a) is the in a few days wind turbine of short term scheduling, photovoltaic, friendship The optimum results of stream load and DC load are (b) the in a few days wind turbine, photovoltaic, AC load and DC load of Real-Time Scheduling Optimum results are (c) the in a few days bi-directional inverter of short term scheduling, diesel-driven generator and the optimum results of energy storage, are (d) in a few days real When the optimum results of bi-directional inverter, diesel-driven generator and energy storage dispatched.
Specific implementation mode
Below in conjunction with the accompanying drawings, the technical solution of the embodiment of the present invention is described further.
For in a few days rolling optimal dispatching, this method considers the Optimized Operation of multiple time scales, while to the energy storage whole story State-of-charge is defined to ensure the circular flow of energy storage.
As shown in Figure 1, the embodiment of the method for the present invention, the topological structure of alternating current-direct current microgrid is as shown in Figure 2.This method includes Following steps:
Step 10) obtains the operation plan a few days ago of alternating current-direct current microgrid;
Step 20) obtains the operating cost coefficient of each equipment and operation limit value in alternating current-direct current microgrid, is based on the day of step 10) Preceding operation plan establishes the in a few days short term scheduling model of alternating current-direct current microgrid;
Step 30) is based on step 10) and step 20) establishes the in a few days Real-Time Scheduling model of alternating current-direct current microgrid;
Step 40) solution procedure 20) and step 30) composition alternating current-direct current microgrid in a few days rolling optimal dispatching model, obtain The in a few days operational plan of alternating current-direct current microgrid.
Preferably, in the step 10), operation plan includes diesel-driven generator to the alternating current-direct current microgrid of acquisition a few days ago The state plan of startup-shutdown a few days ago, the commutation states of the forward and reverse a few days ago plan of bi-directional inverter and the day of energy storage day part Preceding state-of-charge plan.
Preferably, in the step 20), the operating cost coefficient and fortune of each equipment in the alternating current-direct current microgrid of acquisition Row limit value include with wind turbine, photovoltaic, diesel-driven generator, energy storage, bi-directional inverter and the relevant all costs of alternating current-direct current load The alternating current-direct current microgrid that acquired cost coefficient, operation limit value and step 10) obtain is dispatched meter by coefficient and operation limit value a few days ago Draw the in a few days short term scheduling model for substituting into and establishing alternating current-direct current microgrid in following formula:
0≤PWT,h≤wh,0≤PPV,h≤ph (6)
Formula (1) is the object function of in a few days short term scheduling model;Formula (2)-(5) are in a few days short term scheduling model objective function In each cost specific formula for calculation;Formula (6) constrains for the generated output of wind turbine and photovoltaic in a few days short term scheduling model;Formula (7) power bound and Ramp Rate constraint are run for diesel-driven generator in a few days short term scheduling model;Formula (8)-(9) are in a few days Energy storage maximum charge-discharge electric power and state-of-charge constraint in short term scheduling model;Formula (10)-(11) are in a few days short term scheduling model The transducing power and power swing of middle bi-directional inverter constrain;The power that formula (12) cuts off for load in a few days short term scheduling model Constraint;Formula (13)-(14) are the power-balance constraint of in a few days DC area and exchanging area in short term scheduling model.PWT, h、PPV, h、 PDE, hWithRespectively in a few days wind turbine, photovoltaic, diesel oil are sent out in short term scheduling model Motor, energy storage charging, energy storage electric discharge, the change of current of bi-directional inverter forward direction, the reversed change of current of bi-directional inverter, AC load excision and straight Stream load cuts off operation power in the h periods, wherein bi-directional inverter from the change of current of alternating-current/direct-current be the positive change of current, from direct current It is the reversed change of current to the change of current of exchange;For the fuel cost of diesel-driven generator; With The respectively operation expense of diesel-driven generator, energy storage, bi-directional inverter, wind turbine and photovoltaic;WithFor the lotus of energy storage Electricity condition deviation is punished and cost depletions;Power failure punishment cost is cut off for load;For the fuel cost of diesel-driven generator Coefficient;NhFor in a few days short term scheduling period it is total when hop count, Δ h is the time interval of in a few days short term scheduling period; aDEAnd bDEFor the oil consumption characteristic cost coefficient of diesel-driven generator;For the rated power of diesel-driven generator;For step 10) The state plan of startup-shutdown a few days ago of the diesel-driven generator of middle acquisition,Indicate diesel-driven generator in the t periods a few days ago when value is 1 It indicates to be in shutdown status in open state, when value is 0;WithRespectively bavin Fry dried food ingredients motor, energy storage, bi-directional inverter, wind turbine and photovoltaic operation expense coefficient;It is inclined for the state-of-charge of energy storage Poor punishment cost coefficient;S(Nh) be energy storage in NhThe state-of-charge of period;S (t) * are the energy storage of acquisition in step 10) in the t periods State-of-charge plan a few days ago;For energy storage cost depletions coefficient;Power failure punishment cost coefficient is cut off for load;whAnd ph For wind turbine and photovoltaic the h periods power prediction value;WithTo run the upper limit of power under diesel-driven generator open state Value and lower limiting value,WithFor the rate limit value of lower climbing and upper climbing in the unit time period of diesel-driven generator;WithFor the maximum charge and discharge power limit value of energy storage;S (h) and S (h-1) is state-of-charge of the energy storage in h the and h-1 periods; ηCAnd ηDFor energy storage efficiency for charge-discharge;SmaxAnd SminIt is energy storage in this scheduling to allow the upper lower limit value of state-of-charge, S (0) for energy storage The initial state-of-charge in period;S (k) * are a few days ago state-of-charge plan of the energy storage in the k periods of acquisition in step 10);It is The positive commutation states plan of the t periods obtained in step 10) bi-directional inverter a few days ago, 1 indicates that the t periods have a positive change of current, 0 Indicate that there is no the positive changes of current;It is the reversed commutation states plan of t periods for obtaining in step 10) bi-directional inverter a few days ago, 1, which indicates the t periods, there are the negative sense change of current, 0 indicates that the negative sense change of current is not present;WithIndicate bi-directional inverter forward direction and anti- To the operation power limit of the change of current,WithLower limiting value and the upper limit of the expression bi-directional inverter in adjacent time interval power swing Value;WithIt is the maximum load curtailment power limit of h period AC and DCs;WithFor the two-way change of current Device forward and reverse change of current efficiency limit value;lac,hAnd ldc,hThe respectively power prediction of AC load and DC load in the h periods Value.
Preferably, in the step 30), cost coefficient and operation limit value, step 20) that step 20) is obtained In a few days short term scheduling model and the operation plan a few days ago that obtains of step 10) substitute into and establish the in a few days real of alternating current-direct current microgrid in following formula When scheduling model:
0≤PWT,k≤wk,0≤PPV,k≤pk (20)
Formula (15) is the object function of in a few days Real-Time Scheduling model;Formula (16)-(19) are in a few days Real-Time Scheduling simulated target The specific formula for calculation of each cost in function;Formula (20) is that in a few days the generated output of wind turbine and photovoltaic is about in Real-Time Scheduling model Beam;Formula (21) runs power bound and Ramp Rate constraint for diesel-driven generator in a few days Real-Time Scheduling model;Formula (22)- (23) it is energy storage maximum charge-discharge electric power in a few days Real-Time Scheduling model and state-of-charge constraint;Formula (24)-(25) are in a few days real When scheduling model in bi-directional inverter transducing power and power swing constraint;Formula (26) is load in a few days Real-Time Scheduling model The power constraint of excision;Formula (27)-(28) are the power-balance constraint of in a few days DC area and exchanging area in Real-Time Scheduling model. PWT, k、PPV, k、PDE, kWithRespectively in a few days wind turbine, light in Real-Time Scheduling model Volt, diesel-driven generator, energy storage charging, energy storage electric discharge, the change of current of bi-directional inverter forward direction, the reversed change of current of bi-directional inverter, exchange are negative Lotus cuts off and DC load cuts off the operation power in the k periods;NkFor in a few days Real-Time Scheduling period it is total when hop count, Δ k For the time interval of in a few days Real-Time Scheduling period;S(Nk) be energy storage in NkThe state-of-charge of period;S (h) * are step 20) In a few days short term scheduling state-of-charge plan of the middle energy storage in the h periods;wkAnd pkFor wind turbine and photovoltaic the k periods in a few days real-time work( Rate predicted value;S (k) and S (k-1) is state-of-charge of the energy storage in k the and k-1 periods;WithBe exchange the k periods and The maximum load curtailment power limit of direct current;lac,kAnd ldc,kRespectively AC load and DC load are pre- in the power of k periods Measured value.
Preferably, in the step 40), the alternating current-direct current microgrid of step 20) and step 30) composition is in a few days rolled Dynamic Optimal Operation Model calls solver CPLEX to iteratively solve the model, obtains using integer Optimization Modeling tool box YALMIP The in a few days operational plan of alternating current-direct current microgrid.
The method of the embodiment of the present invention carries out the in a few days optimization tune of alternating current-direct current microgrid using Multiple Time Scales rolling optimization Degree, in a few days rolling optimization is adjusted last layer optimum results according to more accurate prediction data, finally determines Real-Time Scheduling Scheme.Multiple Time Scales rolling optimization can carry out prediction error multistage adjusting, and reduction abandons wind and abandons light and load excision phenomenon, Increase energy storage final states penalty and ensure that energy storage recycles regulating power, obtains preferable economic benefit.
A specific embodiment is enumerated below.
Certain self alternating current-direct current microgrid structure is as shown in Fig. 2, be directed to microgrid development in a few days rolling optimal dispatching, in microgrid Basic parameter it is as shown in table 1.
Basic parameter in 1 alternating current-direct current microgrid of table
The in a few days short-term and real-time source lotus power prediction value of this area's typical case's day is respectively such as (a) and (b) institute in Fig. 3 Show.Day part alternating current-direct current area maximum load curtailment power is predict nominal value 50%.(c) in Fig. 3 is that the friendship of acquisition is straight Flow the operation plan a few days ago of microgrid.
To microgrid development, in a few days rolling optimal dispatching, optimum results are as shown in Figure 4.(a) and (b) in Fig. 4 is respectively In a few days short-term and Real time optimal dispatch source lotus power optimization result.It can be seen that in a few days short-term and real-time rolling optimization can have The power swing of tracking source lotus is imitated, in a few days scheduling, which occurs abandoning wind, abandons light and cutting load.
For (c) and (d) in Fig. 4, diesel-driven generator starts with the dusk period in the morning to be run, and wind-light storage is insufficient at this time Think that alternating current-direct current load is powered;Night and noon extra scene are transferred to morning and by energy storage the dusk period;Two-wire transverter night Between by the exchanging area power change of current to DC area, daytime is then opposite;Diesel-driven generator and bi-directional inverter operating status, day are not changed It is interior to be fluctuated by adjusting equipment output to compensate source lotus power prediction.In a few days short-term and real-time rolling optimization is at upper one Between in dimensional optimization result with the minimum target adjustment equipment power of operating cost to cope with source lotus prediction fluctuation, energy storage whole story shape Modal constraint ensure that energy storage can be restored to certain state-of-charge while playing its regulating power, when ensureing that its is next Section regulating power and recycle.
The basic principles, main features and advantages of the invention have been shown and described above.Those skilled in the art should Understand, the present invention do not limited by above-mentioned specific embodiment, the description in above-mentioned specific embodiment and specification be intended merely into One step illustrates the principle of the present invention, without departing from the spirit and scope of the present invention, the present invention also have various change and It improves, these changes and improvements all fall within the protetion scope of the claimed invention.The scope of protection of present invention is wanted by right Ask book and its equivalent thereof.

Claims (5)

1. a kind of alternating current-direct current microgrid in a few days rolling optimal dispatching method of meter and energy storage charge state cycle, which is characterized in that packet Include following steps:
Step 10, the operation plan a few days ago for obtaining alternating current-direct current microgrid;
Step 20 obtains the operating cost coefficient of each equipment and operation limit value, the tune a few days ago based on step 10 in alternating current-direct current microgrid The in a few days short term scheduling model of alternating current-direct current microgrid is established in degree plan;
Step 30, the in a few days Real-Time Scheduling model that alternating current-direct current microgrid is established based on step 10 and step 20;
The alternating current-direct current microgrid that step 40, solution procedure 20 and step 30 form in a few days rolling optimal dispatching model, obtains alternating current-direct current The in a few days operational plan of microgrid.
2. the alternating current-direct current microgrid in a few days rolling optimal dispatching of a kind of meter according to claim 1 and energy storage charge state cycle Method, which is characterized in that in the step 10, the operation plan a few days ago of the alternating current-direct current microgrid of acquisition includes the day of diesel-driven generator Preceding startup-shutdown state plan, the commutation states of the forward and reverse a few days ago plan of bi-directional inverter and the lotus a few days ago of energy storage day part Electricity condition plan.
3. the alternating current-direct current microgrid in a few days rolling optimal dispatching of a kind of meter according to claim 2 and energy storage charge state cycle Method, which is characterized in that in the step 20, the operating cost coefficient of each equipment and operation limit value in the alternating current-direct current microgrid of acquisition Include with the relevant all cost coefficients of wind turbine, photovoltaic, diesel-driven generator, energy storage, bi-directional inverter and alternating current-direct current load and Limit value is run, the operation plan generation a few days ago for the alternating current-direct current microgrid that acquired cost coefficient, operation limit value and step 10 are obtained Enter to establish the in a few days short term scheduling model of alternating current-direct current microgrid in following formula:
0≤PWT,h≤wh,0≤PPV,h≤ph (6)
Formula (1) is the object function of in a few days short term scheduling model;Formula (2)-(5) is in a few days short term scheduling model objective functions The specific formula for calculation of each cost;Formula (6) constrains for the generated output of wind turbine and photovoltaic in a few days short term scheduling model;Formula (7) Power bound and Ramp Rate constraint are run for diesel-driven generator in a few days short term scheduling model;Formula (8)-(9) are in a few days short Energy storage maximum charge-discharge electric power and state-of-charge constraint in phase scheduling model;Formula (10)-(11) is in a few days short term scheduling models The transducing power and power swing of bi-directional inverter constrain;Formula (12) be power that in a few days load is cut off in short term scheduling model about Beam;Formula (13)-(14) are the power-balance constraint of in a few days DC area and exchanging area in short term scheduling model;PWT,h、PPV,h、PDE,hWithRespectively in a few days wind turbine in short term scheduling model, photovoltaic, diesel-driven generator, Energy storage charging, energy storage electric discharge, the change of current of bi-directional inverter forward direction, the reversed change of current of bi-directional inverter, AC load excision and direct current are negative Lotus cuts off operation power in the h periods, wherein bi-directional inverter from the change of current of alternating-current/direct-current be the positive change of current, from direct current to friendship The change of current of stream is the reversed change of current;For the fuel cost of diesel-driven generator; WithRespectively For the operation expense of diesel-driven generator, energy storage, bi-directional inverter, wind turbine and photovoltaic;WithFor the charged shape of energy storage State deviation is punished and cost depletions;Power failure punishment cost is cut off for load;For the fuel cost coefficient of diesel-driven generator; NhFor in a few days short term scheduling period it is total when hop count, Δ h is the time interval of in a few days short term scheduling period;aDEAnd bDE For the oil consumption characteristic cost coefficient of diesel-driven generator;For the rated power of diesel-driven generator;For what is obtained in step 10 The state plan of startup-shutdown a few days ago of diesel-driven generator,Indicate that diesel-driven generator is in booting in the t periods a few days ago when value is 1 State indicates to be in shutdown status when value is 0;WithRespectively diesel-driven generator, Energy storage, bi-directional inverter, wind turbine and photovoltaic operation expense coefficient;For the state-of-charge deviation punishment cost of energy storage Coefficient;S(Nh) be energy storage in NhThe state-of-charge of period;S (t) * are that the energy storage that obtains is a few days ago charged in the t periods in step 10 State plan;For energy storage cost depletions coefficient;Power failure punishment cost coefficient is cut off for load;whAnd phFor wind turbine and light Lie prostrate the power prediction value in the h periods;WithTo run the upper limit value and lower limit of power under diesel-driven generator open state Value,WithFor the rate limit value of lower climbing and upper climbing in the unit time period of diesel-driven generator;WithFor storage The maximum charge and discharge power limit value of energy;S (h) and S (h-1) is state-of-charge of the energy storage in h the and h-1 periods;ηCAnd ηDFor storage It can efficiency for charge-discharge;SmaxAnd SminIt is energy storage at the beginning of this dispatching cycle to allow the upper lower limit value of state-of-charge, S (0) for energy storage Beginning state-of-charge;S (k) * be in step 10 energy storage that obtains in the state-of-charge plan a few days ago of k periods;It is to be obtained in step 10 The positive commutation states plan of the t periods taken bi-directional inverter a few days ago, 1 indicates that the t periods have the positive change of current, and 0 indicates to be not present The positive change of current;It is the reversed commutation states plan of t periods for being obtained in step 10 bi-directional inverter a few days ago, 1 indicates the t periods There are the negative sense change of current, 0 indicate that the negative sense change of current is not present;WithIndicate the fortune of the bi-directional inverter forward and reverse change of current Row power limit,WithLower limiting value and upper limit value of the expression bi-directional inverter in adjacent time interval power swing;WithIt is the maximum load curtailment power limit of h period AC and DCs;WithFor bi-directional inverter forward and reverse Change of current efficiency limit value;lac,hAnd ldc,hThe respectively power prediction value of AC load and DC load in the h periods.
4. the alternating current-direct current microgrid in a few days rolling optimal dispatching of a kind of meter according to claim 3 and energy storage charge state cycle Method, which is characterized in that in the step 30, cost coefficient that step 20 is obtained and operation limit value, step 20 it is in a few days short The operation plan a few days ago that phase scheduling model and step 10 obtain substitutes into the in a few days Real-Time Scheduling mould that alternating current-direct current microgrid is established in following formula Type:
0≤PWT,k≤wk,0≤PPV,k≤pk (20)
Formula (15) is the object function of in a few days Real-Time Scheduling model;Formula (16)-(19) are in a few days Real-Time Scheduling model objective function In each cost specific formula for calculation;Formula (20) constrains for the generated output of wind turbine and photovoltaic in a few days Real-Time Scheduling model; Formula (21) runs power bound and Ramp Rate constraint for diesel-driven generator in a few days Real-Time Scheduling model;Formula (22)-(23) It is constrained for energy storage maximum charge-discharge electric power in a few days Real-Time Scheduling model and state-of-charge;Formula (24)-(25) are in a few days to adjust in real time Spend transducing power and the power swing constraint of bi-directional inverter in model;Formula (26) cuts off for load in a few days Real-Time Scheduling model Power constraint;Formula (27)-(28) are the power-balance constraint of in a few days DC area and exchanging area in Real-Time Scheduling model;PWT,k、 PPV,k、PDE,kWithRespectively in a few days wind turbine, photovoltaic, bavin in Real-Time Scheduling model Fry dried food ingredients motor, energy storage charging, energy storage electric discharge, the change of current of bi-directional inverter forward direction, the reversed change of current of bi-directional inverter, AC load excision The operation power in the k periods is cut off with DC load;NkFor in a few days Real-Time Scheduling period it is total when hop count, Δ k is one The in a few days time interval of Real-Time Scheduling period;S(Nk) be energy storage in NkThe state-of-charge of period;S (h) * are energy storage in step 20) In the in a few days short term scheduling state-of-charge plan of h periods;wkAnd pkIn a few days realtime power for wind turbine and photovoltaic in the k periods is predicted Value;S (k) and S (k-1) is state-of-charge of the energy storage in k the and k-1 periods;WithBe k periods AC and DC most Big load curtailment power limit;lac,kAnd ldc,kThe respectively power prediction value of AC load and DC load in the k periods.
5. the alternating current-direct current microgrid in a few days rolling optimal dispatching of a kind of meter according to claim 4 and energy storage charge state cycle Method, which is characterized in that in the step 40, the alternating current-direct current microgrid that forms for step 20 and step 30 in a few days rolling optimization tune Model is spent, calls solver CPLEX to iteratively solve the model using integer Optimization Modeling tool box YALMIP, it is micro- to obtain alternating current-direct current The in a few days operational plan of net.
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109687523A (en) * 2019-02-28 2019-04-26 广东工业大学 A kind of running optimizatin method of the micro-capacitance sensor based on Multiple Time Scales
CN109995091A (en) * 2019-04-26 2019-07-09 太原理工大学 A kind of alternating current-direct current mixing micro-capacitance sensor economic load dispatching method considering prediction error
CN110148969A (en) * 2019-03-26 2019-08-20 上海电力学院 Active distribution network optimizing operation method based on model predictive control technique
CN110224444A (en) * 2019-05-16 2019-09-10 广东电网有限责任公司 A kind of island microgrid Multiple Time Scales control method for coordinating
CN112257229A (en) * 2020-09-18 2021-01-22 西安理工大学 Two-stage robust scheduling method for microgrid
CN112332460A (en) * 2020-10-30 2021-02-05 重庆大学 Asynchronous dispatching method of electricity-gas interconnection system considering energy flow characteristic difference
CN114744632A (en) * 2022-04-22 2022-07-12 国网江苏省电力有限公司电力科学研究院 Low-voltage direct-current interconnected power distribution network scheduling method and device containing quick charging load and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106160008A (en) * 2016-07-08 2016-11-23 华北电力大学 A kind of new forms of energy of dissolving be obstructed power He Yuan coordinate control rolling amendment method
CN107196294A (en) * 2017-06-16 2017-09-22 国网江苏省电力公司电力科学研究院 Micro-capacitance sensor Multiple Time Scales adaptive energy dispatching method under the net load interaction pattern of source
CN107332286A (en) * 2017-07-27 2017-11-07 清华大学 A kind of cogeneration of heat and power containing heat accumulation and wind-powered electricity generation coordinated scheduling method
EP3273566A2 (en) * 2006-03-07 2018-01-24 Siemens Aktiengesellschaft Apparatus and method for predictive control of a power generation system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3273566A2 (en) * 2006-03-07 2018-01-24 Siemens Aktiengesellschaft Apparatus and method for predictive control of a power generation system
CN106160008A (en) * 2016-07-08 2016-11-23 华北电力大学 A kind of new forms of energy of dissolving be obstructed power He Yuan coordinate control rolling amendment method
CN107196294A (en) * 2017-06-16 2017-09-22 国网江苏省电力公司电力科学研究院 Micro-capacitance sensor Multiple Time Scales adaptive energy dispatching method under the net load interaction pattern of source
CN107332286A (en) * 2017-07-27 2017-11-07 清华大学 A kind of cogeneration of heat and power containing heat accumulation and wind-powered electricity generation coordinated scheduling method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨冬锋: "适应大规模风电并网的电力***有功调度策略研究", 《中国博士学位论文全文数据库》 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109687523A (en) * 2019-02-28 2019-04-26 广东工业大学 A kind of running optimizatin method of the micro-capacitance sensor based on Multiple Time Scales
CN110148969A (en) * 2019-03-26 2019-08-20 上海电力学院 Active distribution network optimizing operation method based on model predictive control technique
CN109995091A (en) * 2019-04-26 2019-07-09 太原理工大学 A kind of alternating current-direct current mixing micro-capacitance sensor economic load dispatching method considering prediction error
CN109995091B (en) * 2019-04-26 2022-11-29 太原理工大学 AC/DC hybrid micro-grid economic dispatching method considering prediction error
CN110224444A (en) * 2019-05-16 2019-09-10 广东电网有限责任公司 A kind of island microgrid Multiple Time Scales control method for coordinating
CN110224444B (en) * 2019-05-16 2022-01-11 广东电网有限责任公司 Multi-time scale coordination control method for island microgrid
CN112257229A (en) * 2020-09-18 2021-01-22 西安理工大学 Two-stage robust scheduling method for microgrid
CN112257229B (en) * 2020-09-18 2024-04-16 西安理工大学 Micro-grid two-stage robust scheduling method
CN112332460A (en) * 2020-10-30 2021-02-05 重庆大学 Asynchronous dispatching method of electricity-gas interconnection system considering energy flow characteristic difference
CN112332460B (en) * 2020-10-30 2024-06-04 重庆大学 Asynchronous scheduling method of electric-gas interconnection system considering energy flow characteristic difference
CN114744632A (en) * 2022-04-22 2022-07-12 国网江苏省电力有限公司电力科学研究院 Low-voltage direct-current interconnected power distribution network scheduling method and device containing quick charging load and storage medium
CN114744632B (en) * 2022-04-22 2024-01-23 国网江苏省电力有限公司电力科学研究院 Method, device and storage medium for scheduling low-voltage direct-current interconnected power distribution network with quick charge load

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