CN113224749B - Global optimal discharge control method for oil-electricity hybrid energy storage power supply shelter - Google Patents
Global optimal discharge control method for oil-electricity hybrid energy storage power supply shelter Download PDFInfo
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Abstract
The application provides a global optimal discharge control method for a square cabin of a hybrid oil-electricity energy storage power supply, which is characterized by comprising the following steps of: including the oil tank, diesel generator be connected with the oil tank, be used for controlling diesel generator output's unit controller, group battery, the dc-to-ac converter of being connected with the output of group battery, be used for controlling group battery output's battery controller, be used for switch board and the energy storage shelter controller of being connected with outside consumer, energy storage shelter controller with unit controller communication connection, energy storage shelter controller and battery controller communication connection, diesel generator's output is connected with the switch board through alternating current bus, and the output of dc-to-ac converter is connected with the switch board through alternating current bus.
Description
Technical Field
The invention relates to the technical field of mobile energy storage power supply square cabins, in particular to a global optimal discharge control method for an oil-electricity hybrid energy storage power supply square cabin.
Background
In recent years, the movable energy storage power supply shelter is high in mobility and convenient and fast to deploy, and is widely applied to application scenes of emergency guarantee power supply, distribution network uninterrupted operation, temporary capacity increase of the distribution network, important load guarantee power supply and the like. The energy storage power supply shelter mostly adopts a diesel generator at present, but the diesel generator has the defects of high operation cost, high noise, large pollution and the like due to high price of oil in the power distribution and supply operation process. In addition, a mobile energy storage power supply shelter based on a battery pack is also provided, but the power supply duration guarantee of a battery energy storage system is insufficient under the high-power and high-current discharge requirement. On the oil-electricity coordination control method, the oil-electricity coordination control method based on the electricity utilization rule mostly depends on experience, has large subjectivity and unobvious economic and energy-saving effects; and the instantaneous optimization coordination control method is adopted, only the current use cost is considered, the overall coordination control is not carried out, and the improvement of the economical efficiency and the energy-saving effect is limited.
Therefore, in order to solve the above technical problems, a new technical solution is needed.
Disclosure of Invention
In view of the above, the invention provides a gas-electric hybrid energy storage power supply shelter, which includes an oil tank, a diesel generator connected to the oil tank, a unit controller for controlling output power of the diesel generator, a battery pack, an inverter connected to an output end of the battery pack, a battery controller for controlling output power of the battery pack, a power distribution cabinet for connecting to an external electric device, and an energy storage shelter controller, wherein the energy storage shelter controller is in communication connection with the unit controller, the energy storage shelter controller is in communication connection with the battery controller, an output end of the diesel generator is connected to the power distribution cabinet through an alternating current bus, and an output end of the inverter is connected to the power distribution cabinet through an alternating current bus.
Further, the shelter still includes the box, the box is used for with detachable fixed mounting oil tank, diesel generator, unit controller, group battery, dc-to-ac converter, battery controller, switch board and energy storage shelter controller.
Correspondingly, the invention also provides a global optimal discharge control method for the oil-electricity hybrid energy storage power supply shelter, which comprises the following steps:
s1: discretizing the total energy supply duration parameter, the battery pack state-of-charge parameter and the battery pack output power parameter stored by the energy storage shelter controller, wherein the battery pack state-of-charge parameter comprises the number of discrete points of the state-of-charge SOC at each moment;
after discretization, the total energy supply time is T moments, m discrete points of the state of charge parameters of the battery pack in each moment are m, and the number n of the discrete points of the discharge power of the battery pack corresponding to the state of charge in the T moments is n;
s2: determining the lowest accumulated use cost from each discrete time point to the last time point by adopting a reverse solution algorithm, and recording the power distribution ratio of the output power of the corresponding battery pack and the diesel generator to obtain a two-dimensional recording matrix of the overall optimal discharge power of the battery pack and the lowest accumulated use cost of the system;
s3, determining the optimal output power of the battery pack at each discrete time point in the process from the beginning to the end of energy supply under the initial charge state of the battery pack according to the two-dimensional recording matrix;
s4, solving the power output requirement of the diesel generator at each moment according to the load power parameter, wherein the power at each moment of the diesel generator is the difference of the load power minus the optimal output power of the battery pack at the corresponding moment;
and S5, sending an instruction to the battery pack controller and the battery controller through the energy storage shelter controller according to the battery output power and the diesel generator output power, and controlling the power output of the battery pack and the diesel generator according to the power distribution ratio with the lowest system overall use cost.
Further, step S2 further includes the steps of:
s21: constructing an instantaneous cost model of the energy storage shelter, wherein the cost model comprises the following steps:
wherein, L [ P (k), SOC (k)]Representing instantaneous cost, P (k) representing discrete point power output by the battery, SOC (k) representing discrete point state of charge of the battery, P e Representing the output power of the diesel engine, kW; b represents the fuel consumption rate, g/(kW.h); ρ g represents the constant of the product of the diesel density and the gravitational acceleration, and generally represents: 7.94-8.13N/L; p bat Representing the battery pack output power, kW; q lhv Represents the low heat value of diesel oil, J/g; s is 0 Representing an oil-electricity equivalent factor;
s22: determining the last discrete point T moment of the total energy supply time of the energy storage shelter, and enabling T to represent the current moment, wherein T = T, T-1, … 3,2,1 and the charge states of the battery pack
Comparing and recording the lowest instantaneous use cost and the power distribution ratio of the output power of the battery pack and the diesel generator corresponding to the lowest instantaneous use cost under different battery output power grades;
s23: determining the state of charge of each battery pack at the moment of last discrete time point t-1 of the discrete point t moment
Instantaneous cost of use at different battery output powers;
s24: determining the transfer charge states corresponding to all discrete points of the charge state SOC in the current moment, which comprises the following steps:
s241: making a variable of the number of discrete points of the SOC of the battery pack at the current moment be i, wherein i =1,2 … m, wherein m represents the total number of discrete points of the SOC parameter of the battery pack at each moment;
the transfer charge state at the discrete point i +1 moment is determined by the following method:
wherein,
representing the battery charge state of the i +1 th discrete point of the battery pack charge state in the t-1 time point,
the variable represents the battery charge state of the ith discrete point of the battery pack charge state in the t-1 time point, i represents the discrete point number of the battery pack charge state SOC in each time,
represents the open circuit voltage of the circuit at the ith discrete time point of the battery pack charge state in the t-1 time point, qc represents the total electric quantity of the battery pack, P bat Denotes the battery output power, R int Indicating the internal resistance of the battery pack;
s242: i = i +1, judging that i is less than or equal to n, wherein n represents the discrete point number n of the battery pack discharge power corresponding to the state of charge within the energy supply duration of the energy storage shelter, if yes, entering the step S241, and if not, exiting;
s25: determining the accumulated use cost at the time t-1, wherein the accumulated use cost is determined by adopting the following method:
J t-1 ＝min{∑(L[P(k),SOC(k)]+J t )} (3)
wherein, J t-1 Cumulative minimum cost of use at time t-1, J t For the cumulative minimum cost of use at time t, L [ P (k), SOC (k)]Representing the instantaneous cost, P (k) represents the discrete point power output by the battery pack, and SOC (k) represents the discrete point state of charge of the battery pack;
the cumulative lowest cost of use function J at the time t t The following method is adopted for determination:
J t ＝min{L[P(k),SOC(k)]} (3-1)
wherein, J t For the cumulative lowest cost of use at time t, L [ P (k), SOC (k)]Representing instantaneous intoP (k) represents the discrete point power output by the battery pack, and SOC (k) represents the state of charge of the battery pack at the discrete point;
s26: comparing the respective states of charge at time t-1 in step S25
The new accumulated use cost of the corresponding different battery output power at the last moment is recorded, and the power distribution ratio of the lowest accumulated use cost and the output power of the battery pack and the diesel generator corresponding to the lowest accumulated use cost is recorded;
s27: t = t-1, and it is determined that t is not less than 1, if yes, the process proceeds to step S23, and if no, the process exits.
The invention has the beneficial technical effects that: the oil-electricity hybrid energy storage power supply shelter integrates the diesel generator and the battery pack energy supply system, reasonably distributes the output of oil and electric functional power in the oil-electricity hybrid energy storage power supply shelter through a global optimal control algorithm according to the power demand and the energy supply duration of electric equipment accessed into the oil-electricity hybrid energy storage power supply shelter, dynamically plans the proportion of the oil and electric output power according to the use working condition, can effectively improve the operation economy and the energy supply duration of the oil-electricity hybrid energy storage power supply shelter, and has good popularization and application prospects.
Drawings
The invention is further described below with reference to the following figures and examples:
FIG. 1 is a block diagram of the present invention.
FIG. 2 is a flow chart of the discrete solution algorithm of the present invention.
FIG. 3 is a schematic diagram of the global optimal control algorithm of the present invention.
Detailed Description
The invention is further described in the following with reference to the accompanying drawings:
the invention provides a fuel-electric hybrid energy storage power supply shelter, which comprises a fuel tank, a diesel generator connected with the fuel tank, a unit controller used for controlling the output power of the diesel generator, a battery pack, an inverter connected with the output end of the battery pack, a battery controller used for controlling the output power of the battery pack, a power distribution cabinet used for being connected with external electric equipment and an energy storage shelter controller, wherein the energy storage shelter controller is in communication connection with the unit controller, the energy storage shelter controller is in communication connection with the battery controller, the output end of the diesel generator is connected with the power distribution cabinet through an alternating current bus, and the output end of the inverter is connected with the power distribution cabinet through the alternating current bus. The shelter also comprises a box body, wherein the box body is used for fixedly mounting an oil tank, a diesel generator, a unit controller, a battery pack, an inverter, a battery controller, a power distribution cabinet and an energy storage shelter controller in a detachable mode.
Above-mentioned technical scheme, it is as an organic whole with diesel generator and group battery energy supply system integration to insert the power demand and the energy supply of consumer during in the power shelter according to the mixed energy storage of oil electricity, through the output of oil, electric functional power in the power shelter of the mixed energy storage of global optimal control algorithm rational distribution oil electricity, according to using operating mode dynamic programming oil, electric output power proportion, can effectively improve the operation economy and the energy supply of the mixed energy storage power shelter of oil electricity and it is long when having good popularization and application prospect.
Correspondingly, the invention also provides a global optimal discharge control method for the oil-electricity hybrid energy storage power supply shelter, which comprises the following steps:
s1: discretizing the total energy supply duration parameter, the battery pack state-of-charge parameter and the battery pack output power parameter stored by the energy storage shelter controller, wherein the battery pack state-of-charge parameter comprises the number of discrete points of the state-of-charge SOC at each moment;
after discretization processing, the total energy supply time is T moments, the number of discrete points of the state of charge parameters of the battery pack in each moment is m, and the number of discrete points n of the discharge power of the battery pack corresponding to the state of charge in the T moments is n;
s2: determining the lowest accumulated use cost from each discrete time point to the last time point by adopting a reverse solution algorithm, and recording the power distribution ratio of the output power of the corresponding battery pack and the diesel generator to obtain a two-dimensional recording matrix of the global optimal discharge power of the battery pack and the lowest accumulated use cost of the system; as shown in fig. 3;
s3, determining the optimal output power of the battery pack at each discrete time point in the process from the beginning to the end of energy supply under the initial charge state of the battery pack according to the two-dimensional recording matrix;
s4, solving the power output requirement of the diesel generator at each moment according to the load power parameter, wherein the power at each moment of the diesel generator is the difference of the load power minus the optimal output power of the battery pack at the corresponding moment;
and S5, issuing instructions to the battery pack controller and the battery controller through the energy storage shelter controller, and controlling the power output of the battery pack and the diesel generator according to the power distribution ratio with the lowest system global use cost.
As shown in fig. 2, step S2 further includes the following steps:
s21: constructing an instantaneous cost model of the energy storage shelter, wherein the cost model comprises the following steps:
wherein, L [ P (k), SOC (k)]Representing instantaneous cost, P (k) representing discrete point power output by the battery, SOC (k) representing discrete point state of charge of the battery, P e Representing the output power of the diesel engine, kW; b represents the fuel consumption rate, g/(kW.h); ρ g represents the constant of the product of the diesel density and the gravitational acceleration, and generally represents: 7.94-8.13N/L; p is bat Representing the stack output power, kW; q lhv Represents the low heat value of diesel oil, J/g; s 0 Representing an oil-electricity equivalent factor;
s22: determining the T moment of the last discrete point of the total energy supply time of the energy storage shelter, and enabling T to represent the current moment, wherein T = T, T-1, … 3,2,1 and the charge states of the battery pack
The instantaneous use cost under different battery output power grades is compared and recorded with the lowest instantaneous use cost and the power scores of the battery pack and the diesel generator output power under the lowest instantaneous use cost and the corresponding power scoresProportioning;
s23: determining the state of charge of each battery pack at the moment of last discrete time point t-1 of the discrete point t moment
Instantaneous cost of use at different battery output powers;
s24: determining the transfer charge states corresponding to all discrete points of the charge state SOC in the current moment, which comprises the following steps:
s241: making a variable of the number of discrete points of the SOC of the battery pack at the current moment be i, wherein i =1,2 … m, wherein m represents the total number of the discrete points of the SOC parameter of the battery pack at each moment;
the transfer charge state at the moment of the discrete point i +1 is determined by adopting the following method:
wherein,
representing the battery charge state of the i +1 th discrete point of the battery pack charge state in the t-1 time point,
the battery state of charge of the ith discrete point of the battery pack state of charge at the time point of t-1, i represents a variable of the number of discrete points of the battery pack state of charge SOC at each time,
represents the open circuit voltage of the circuit at the ith discrete time point of the battery pack charge state in the t-1 time point, qc represents the total electric quantity of the battery pack, P bat Representing the battery output power, R int Indicating the internal resistance of the battery pack;
s242: i = i +1, judging that i is less than or equal to n, wherein n represents the discrete point number n of the battery pack discharge power corresponding to the state of charge within the energy supply duration of the energy storage shelter, if yes, entering the step S241, and if not, exiting;
s25: determining the accumulated use cost at the time t-1, wherein the accumulated use cost is determined by adopting the following method:
J t-1 ＝min{∑(L[P(k),SOC(k)]+J t )} (3)
wherein, J t-1 Cumulative minimum cost of use at time t-1, J t For the cumulative lowest cost of use at time t, L [ P (k), SOC (k)]Representing the instantaneous cost, P (k) representing the discrete point power output by the battery pack, and SOC (k) representing the discrete point state of charge of the battery pack;
the cumulative lowest cost of use function J at the time t t The following method is adopted for determination:
J t ＝min{L[P(k),SOC(k)]} (3-1)
wherein, J t For the cumulative minimum cost of use at time t, L [ P (k), SOC (k)]Representing the instantaneous cost, P (k) representing the discrete point power output by the battery pack, and SOC (k) representing the discrete point state of charge of the battery pack;
s26: comparing the respective states of charge at time t-1 in step S25
The new accumulated use cost of the corresponding different battery output power at the last moment is recorded, and the power distribution ratio of the lowest accumulated use cost and the output power of the battery pack and the diesel generator corresponding to the lowest accumulated use cost is recorded;
s27: t = t-1, and it is determined that t is not less than 1, if yes, the process proceeds to step S23, and if no, the process exits.
According to the technical scheme, the power demand and the energy supply time of the electric equipment connected into the power supply shelter of the oil-electricity hybrid energy storage are prolonged, the output of the oil power and the electric power in the power supply shelter of the oil-electricity hybrid energy storage is reasonably distributed through a global optimal control algorithm, the oil power output ratio and the electric power output ratio are dynamically planned according to the use working conditions, and the operation economy and the energy supply time duration of the oil-electricity hybrid energy storage power supply shelter can be effectively improved
Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.
Claims (2)
1. A global optimal discharge control method for a square cabin of a fuel-electric hybrid energy storage power supply is characterized by comprising the following steps: the method comprises the following steps:
s1: discretizing the total energy supply duration parameter, the battery pack state-of-charge parameter and the battery pack output power parameter stored by the energy storage shelter controller, wherein the battery pack state-of-charge parameter comprises the number of discrete points of the state-of-charge SOC at each moment;
after discretization, the total energy supply time is T moments, m discrete points of the state of charge parameters of the battery pack in each moment are m, and the number n of the discrete points of the discharge power of the battery pack corresponding to the state of charge in the T moments is n;
s2: determining the lowest accumulated use cost from each discrete time point to the last time point by adopting a reverse solution algorithm, and recording the power distribution ratio of the output power of the corresponding battery pack and the diesel generator to obtain a two-dimensional recording matrix of the global optimal discharge power of the battery pack and the lowest accumulated use cost of the system;
s3, determining the optimal output power of the battery pack at each discrete time point in the process from the beginning to the end of energy supply under the initial charge state of the battery pack according to the two-dimensional recording matrix;
s4, solving the power output requirement of the diesel generator at each moment according to the load power parameter, wherein the power at each moment of the diesel generator is the difference of the load power minus the optimal output power of the battery pack at the corresponding moment;
and S5, sending an instruction to the battery pack controller and the battery controller through the energy storage shelter controller according to the battery output power and the diesel generator output power, and controlling the power output of the battery pack and the diesel generator according to the power distribution ratio with the lowest system overall use cost.
2. The method for controlling the global optimal discharge of the oil-electricity hybrid energy storage power supply shelter according to claim 1, wherein the method comprises the following steps: step S2 further includes the steps of:
s21: constructing an instantaneous cost model of the energy storage shelter, wherein the cost model comprises the following steps:
wherein, L [ P (k), SOC (k)]Representing instantaneous cost, P (k) representing discrete point power output by the battery, SOC (k) representing discrete point state of charge of the battery, P e Representing the output power of the diesel engine, kW; b represents the fuel consumption rate, g/(kW.h); ρ g represents the constant of the product of the diesel density and the gravitational acceleration, and represents: 7.94-8.13N/L; p bat Representing the battery pack output power, kW; q lhv Represents the low heating value of diesel oil, J/g; s 0 Representing an oil-electricity equivalent factor;
s22: determining the last discrete point T moment of the total energy supply time of the energy storage shelter, and enabling T to represent the current moment, wherein T = T, T-1, … 3,2,1 and the charge states of the battery pack
Comparing and recording the lowest instantaneous use cost and the power distribution ratio of the output power of the battery pack and the diesel generator corresponding to the lowest instantaneous use cost under different battery output power grades;
s23: determining the state of charge of each battery pack at the moment of last discrete time point t-1 of the moment of discrete point t
Instantaneous cost of use at different battery output powers;
s24: determining the transfer charge states corresponding to all discrete points of the charge state SOC in the current moment, which comprises the following steps:
s241: making a variable of the number of discrete points of the SOC of the battery pack at the current moment be i, wherein i =1,2 … m, wherein m represents the total number of discrete points of the SOC parameter of the battery pack at each moment;
the transfer charge state at the discrete point i +1 moment is determined by the following method:
wherein,
representing the battery charge state of the i +1 th discrete point of the battery pack charge state in the t-1 time point,
the variable represents the battery charge state of the ith discrete point of the battery pack charge state in the t-1 time point, i represents the discrete point number of the battery pack charge state SOC in each time,
represents the open circuit voltage of the circuit at the ith discrete time point of the battery pack charge state in the t-1 time point, qc represents the total electric quantity of the battery pack, P bat Representing the battery output power, R int Indicating the internal resistance of the battery pack;
s242: i = i +1, judging that i is less than or equal to n, wherein n represents the discrete point number n of the battery pack discharge power corresponding to the state of charge within the energy supply duration of the energy storage shelter, if yes, entering the step S241, and if not, exiting;
s25: determining the accumulated use cost at the time t-1, wherein the accumulated use cost is determined by adopting the following method:
J t-1 ＝min{∑(L[P(k),SOC(k)]+J t )} (3)
wherein, J t-1 Cumulative minimum cost of use at time t-1, J t For the cumulative lowest cost of use at time t, L [ P (k), SOC (k)]Representing instantaneous cost, P (k) representing discrete point power output by the battery pack, and SOC (k) representing discrete point of the battery packA state of charge;
the accumulated lowest use cost function J at the time t t The following method is adopted for determination:
J t ＝min{L[P(k),SOC(k)]} (3-1)
wherein, J t For the cumulative lowest cost of use at time t, L [ P (k), SOC (k)]Representing the instantaneous cost, P (k) representing the discrete point power output by the battery pack, and SOC (k) representing the discrete point state of charge of the battery pack;
s26: comparing the respective states of charge at time t-1 in step S25
The new accumulated use cost of the corresponding different battery output power at the last moment is recorded, and the power distribution ratio of the lowest accumulated use cost and the output power of the battery pack and the diesel generator corresponding to the lowest accumulated use cost is recorded;
s27: t = t-1, and it is determined that t is not less than 1, if yes, the process proceeds to step S23, and if no, the process exits.
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