CN116436094A - Multi-time-scale comprehensive energy management method for full-direct-current ship micro-grid system - Google Patents

Multi-time-scale comprehensive energy management method for full-direct-current ship micro-grid system Download PDF

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CN116436094A
CN116436094A CN202310319103.3A CN202310319103A CN116436094A CN 116436094 A CN116436094 A CN 116436094A CN 202310319103 A CN202310319103 A CN 202310319103A CN 116436094 A CN116436094 A CN 116436094A
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王子强
闵凡奇
王杰
周荔丹
邵雷军
姚钢
于雷
王婷
王德佳
王亮
郭文涛
刘萍
郑雨墨
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Shanghai Aerospace Power Technology Co Ltd
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Abstract

A multi-time scale comprehensive energy management method of an all-direct-current ship micro-grid system comprises the following steps: the energy management strategy is short-time control for the energy storage unit and the demand side load, and the energy storage system is controlled to be connected or disconnected with a part of the demand side load according to the need when the running working condition of the full-direct-current ship micro-grid system is switched by collecting the generating capacity of the generating unit, the load power of each propeller, the load power of other life types and the direct-current bus voltage in real time; the improved crow search algorithm is used for cutting a scheduling time length into a plurality of time periods aiming at long-term control of a power generation unit, collecting information of load power of each pusher, life load power and state information of an energy storage unit SOC (state of charge) to a micro-grid energy management system, obtaining a total scheduling time length optimization scheduling plan of the energy storage unit, a diesel generator and various demand side loads through comprehensive calculation by taking parameter constraint as a calculation condition according to a working objective equation, and adjusting power generation capacity and power consumption of the energy storage unit, the diesel generator and various demand side loads according to received scheduling instructions.

Description

Multi-time-scale comprehensive energy management method for full-direct-current ship micro-grid system
Technical Field
The invention relates to a technology in the field of micro-grids, in particular to a multi-time scale comprehensive energy management method of an all-direct-current ship micro-grid system.
Background
In the traditional AC/DC micro-grid technology, when a large number of electrical equipment such as a distributed power supply, an energy storage device, an energy conversion device, a load, a monitoring and protecting device and the like are accessed, the coordination capability of the micro-grid presents obvious defects, and especially when the micro-grid is applied to a ship micro-grid, as the ship micro-grid cannot exchange power with a main grid like the traditional micro-grid, the operation working condition of a ship at sea is more complex and has stronger randomness, the stability of bus voltage is difficult to ensure by adopting the traditional micro-grid, and the reliability of the ship operation is influenced. The full-direct-current ship micro-grid is used as a novel ship power system and generally comprises a power generation unit, an energy storage unit, various converters, a propeller and other living loads, and is connected by a direct-current bus. The core of the micro-grid is the comprehensive electric propulsion technology, and has the advantages of high reliability, strong maneuverability, low maintenance cost and the like, and the problem of the traditional micro-grid is well solved. At present, the technology for realizing the multi-time scale comprehensive energy management of the full-direct-current ship micro-grid system has a defect on how to integrate the short-time scale electric energy quality management and the long-time scale load economic dispatch.
The current full direct current ship micro-grid system adopts a diesel generator to supply power, when some sudden conditions occur and the output of the generator cannot meet the power requirement of the system, if the load works normally at this time, the direct current bus voltage is greatly reduced due to unbalanced power, and the power quality is reduced. In order to ensure that the ship can run safely and reliably, the energy storage system serving as the energy buffer device is applied to the ship, when the voltage of the direct current bus is reduced, the energy storage battery is connected into the direct current bus, the power deficiency is made up, and the voltage stability and the supply and demand power balance are ensured. The current proposed full direct current ship micro-grid system does not take a power generation unit, an energy storage unit and various demand side loads as a whole to schedule output, and can not effectively ensure voltage stability and supply and demand power balance in a short time scale. Meanwhile, long-time scale optimal scheduling is not performed, so that energy waste is caused.
Through the search discovery of the prior art, chinese patent document No. CN113949107A discloses a 2022.01.18 method for managing the energy of a wind, light and firewood storage hybrid multi-energy ship, a main-auxiliary generator set structure is provided, a main generator bears a basic load, an auxiliary generator bears a fluctuating load, and a scene is generated by combining HOMER software and a K-means clustering algorithm to quantitatively describe wind, light and power randomness. And building a wind, solar and diesel energy storage hybrid multi-energy ship energy management model taking fuel consumption and deviation from a reference charge state of a storage battery as targets and taking capacity, power limit values and the like as constraint conditions. Solving the model by using a dynamic programming algorithm to obtain an optimal energy management strategy of the wind-solar-diesel-storage hybrid multi-energy ship; and when the wind-free photovoltaic power generation device is not used, the optimal energy management strategy of the single generator is obtained, and when the wind-light power generation device is not used, the optimal energy management strategy of the main and auxiliary generator sets is obtained. However, compared with the invention, the prior art only considers the optimization of the multi-energy ship energy management under the long-term operation condition, and does not consider the operation condition change possibly caused by the emergency in a short period, so that the technical problem that the system cannot effectively process the short-term severe load fluctuation caused by the access of the ship high-power propeller in the full-direct-current ship micro-grid system, and does not realize the multi-time scale comprehensive energy management of long-term and short-term combination.
Disclosure of Invention
Aiming at the defects that the existing energy management technology of the full-direct-current ship micro-grid system is obviously insufficient, the marine complex operation working condition of a ship cannot be met, the stability of bus voltage cannot be ensured, the electric energy quality cannot be ensured, the power generation unit, the energy storage unit and various demand side loads cannot be used as a whole for dispatching output, and the like, the invention provides a multi-time-scale comprehensive energy management method of the full-direct-current ship micro-grid system, which adopts a comprehensive energy management strategy of multi-time-scale layered control and respectively provides corresponding control strategies on two time scales of a short term and a long term. In a short period, aiming at load fluctuation caused by the access of the ship high-power propeller, the stability of the direct-current side bus voltage and the balance of supply and demand power are realized through a rule-based energy management strategy. The improved CSA algorithm is adopted to realize peak clipping, valley filling and smooth load curve during long-term operation, so that the reliability requirement of the full-direct-current ship micro-grid can be met, and the economy is improved.
The invention is realized by the following technical scheme:
the invention relates to a multi-time scale comprehensive energy management method of an all-direct-current ship micro-grid system, which comprises the following steps: a rule-based energy management strategy at the bottom layer and an improved Crow Search Algorithm (CSA) at the top layer, wherein: the energy management strategy aims at the short-time control of the energy storage unit and the demand side load and aims at the energy storage unit and the demand side load, and the energy storage system is controlled to access or cut off a part of the demand side load according to the need when the running working condition of the full-direct-current ship micro-grid system is switched by collecting the generated energy of the power generation unit, the load power of each propeller, the load power of other living types and the direct-current bus voltage in real time; the method comprises the steps of improving a crow search algorithm, aiming at long-term control of a power generation unit, cutting scheduling time into a plurality of time periods, collecting information of load power of each propeller, life load power and state information of an energy storage unit SOC (state of charge) to a micro-grid energy management system, obtaining a total scheduling time optimization scheduling plan of the energy storage unit, a diesel generator and various demand side loads through comprehensive calculation by taking parameter constraint as a calculation condition according to a working objective equation, and setting short-time control given values of power generation capacity and power consumption in the time periods according to scheduling instructions by the energy storage unit, the diesel generator and various demand side loads.
The full direct current ship micro-grid system comprises: generating unit, energy storage unit, all kinds of converters and demand side load, wherein: the demand side load comprises a propeller and various living loads, the propeller is connected to a direct current bus through an alternating current converter, the power generation unit is connected to the direct current bus through the alternating current converter, the energy storage unit is connected to the direct current bus through the direct current converter, the two work together, the propeller and the loads are supplied with electric energy through the direct current bus, and the various living loads are connected to the direct current bus mainly through the alternating current converter.
The propeller comprises: the main pushing, the upward pushing, the downward pushing and the two side pushing are respectively connected to the direct current bus through the PMSM and the alternating current converter to provide kinetic energy for the ship.
The power generation unit and the energy storage unit are diesel generators and energy storage equipment, and the diesel generators and the energy storage equipment jointly act to provide electric energy for various propellers and living loads through a power transmission line.
The demand side load includes: rigid load, time-shift load and interruptible load, wherein: the rigid load is a load for maintaining the basic sailing of the ship, and the interruption of the load can cause serious equipment damage, and serious influence such as propulsion load and the like is generated; the time-shift load refers to a load that is reused for a short time, such as a load of an air conditioner or the like; the interruptible load refers to a load that is occasionally used for a short time, such as a searchlight or the like.
The working objective equation is
Figure SMS_1
The physical meaning is that the running cost of the ship micro-grid system is the lowest, wherein: c is the running cost of the ship micro-grid, C die (t) is fuel cost, C bat (t) is the depreciation cost of energy storage, < >>
Figure SMS_2
N is the cycle service life of the energy storage battery, C B The price of the single group of energy storage batteries is that n is the number of the energy storage batteries, Q B For rated capacity of energy-storage battery, deltaW bat And (t) is the change of the electric quantity of the energy storage battery at the moment t.
The parameter constraint of the working objective equation comprises: the system power must be between an upper power limit and a lower power limit; the power generation power of the diesel generator is between the predicted output value and the minimum output value; the charging power of the energy storage unit is smaller than the smaller value of the minimum charging power and the SOC charging limit value, the discharging power is larger than the smaller value of the minimum discharging power and the SOC discharging limit value, and the electric quantity is positioned above the minimum electric quantity; the generator propulsion mode of operation power must be between an upper power limit and a lower power limit; the active load shedding mode power must be greater than the sum of the battery discharge and the power fueling power.
Technical effects
Compared with the prior art, the invention realizes energy management of multiple time scales, and can better cope with the operation condition change caused by emergency by adopting a rule-based energy management strategy under short-time control, stabilize voltage and improve electric energy quality. When the system runs for a long time, an improved CSA algorithm is adopted in the cost optimization model, so that the optimization of the total running cost can be realized, and meanwhile, peak clipping, valley filling and load curve smoothing are realized. The ship energy management optimization in a long term can only be realized in the prior art, and the multi-time scale comprehensive energy management method of the full-direct-current ship micro-grid system designed by the invention not only realizes energy optimization scheduling so as to improve the system economy, but also improves the transient stability in a short term of the full-direct-current ship micro-grid system.
Drawings
Fig. 1 is a schematic diagram of a multi-time scale hierarchical control structure of an all-direct current ship micro-grid;
FIG. 2 is a schematic diagram of an overall operating strategy for energy management of an all-DC marine microgrid;
FIG. 3 is a schematic flow diagram of a rule-based energy management method;
FIG. 4 is a schematic flow chart of the CSA algorithm;
fig. 5 is a schematic diagram of an all-direct current marine micro-grid operation mode and topology;
FIG. 6 is a schematic diagram of an experimental platform;
FIG. 7 is a schematic diagram of DC side bus voltage in different modes and different states;
FIG. 8 is a graph comparing running costs after optimization of different algorithms.
Detailed Description
As shown in fig. 1 and fig. 2, this embodiment relates to a multi-time scale integrated energy management method of an all-direct current ship micro grid system, which includes: the rule-based energy management method as shown in fig. 3, handles various burst voltage and power fluctuations; and an improved CSA algorithm as shown in FIG. 4, optimizes the daily operating cost of the ship micro-grid system.
The energy management method based on the rules is characterized in that the bottom layer control is short-time control, the control objects are an energy storage unit and a demand side load, the bottom layer control is used for controlling the energy storage system to access or cut off a part of the demand side load according to the need when the running working conditions of the full-direct-current ship micro-grid system are switched by collecting the generated energy of the power generation unit, the load power of each propeller, the load power of other life types and the direct-current bus voltage in real time.
The improved CSA algorithm is long-term control, and the control object is a power generation unit. The long-term control cuts the scheduling duration into a plurality of time periods, collects the load power of each pusher, the life load power and the state information of the energy storage unit SOC to the micro-grid energy management system, takes parameter constraint as a calculation condition according to a working target equation, obtains the total scheduling duration optimization scheduling plan of the energy storage unit, the diesel generator and various demand side loads through comprehensive calculation, and adjusts the generated energy and the used energy according to the received scheduling instructions.
As shown in fig. 5, the all-direct-current ship micro-grid system for which the present embodiment is directed includes: generating unit, energy storage unit, all kinds of converters and demand side load, wherein: the demand side load comprises a propeller and various living loads, the propeller is connected to a direct current bus through an alternating current converter, the power generation unit is connected to the direct current bus through the alternating current converter, the energy storage unit is connected to the direct current bus through the direct current converter, the two work together, the propeller and the loads are supplied with electric energy through the direct current bus, and the various living loads are connected to the direct current bus through the alternating current converter.
The power generation unit is a diesel generator, and the energy consumption characteristic F (t) is as follows: f (t) =c 1 P die (t)+c 2 P dier (t),P die (t) is the average power generated by the single diesel generator set at the moment t, P dier (t) is the rated power of a single diesel engine unit, c 1 And c 2 Is a polynomial coefficient.
The energy storage unit is an energy storage battery and is used for providing electric energy for various propellers and living loads through a power transmission line under the combined action of the energy storage battery and the power generation unit. The energy storage charge-discharge model is as follows:
Figure SMS_3
wherein: />
Figure SMS_4
For the output voltage and output current of the energy storage battery i, < >>
Figure SMS_5
For the output power of the energy storage battery i, +.>
Figure SMS_6
In charge-discharge state of energy storage battery i, Q 0 、Q max For initial capacity and maximum capacity of the energy storage battery, SOC i For the state of charge, SOC, of the energy storage unit i i,min And SOC (System on chip) i,max The minimum value and the maximum value of the charge state of the energy storage unit i are respectively, and the limit range of the SOC of the energy storage battery is more than or equal to 0.4 and less than or equal to 0.9.
The propeller comprises a main push, an upward push, a downward push and two side pushes, and the two side pushes are respectively connected to a direct current bus through a PMSM and an alternating current converter to provide kinetic energy for the ship. There are mainly 3 modes of operation:
1) Generator propulsion mode of operation: the mode is suitable for the operation working condition that the load demand power is smaller when the ship is in low-speed forward running, and the like, and at the moment, the power demand of the system can be met only by the output of the generator, and if the energy storage is not up to the upper limit, the energy storage is charged, otherwise, the energy storage is in a standby state.
2) Generator and energy storage co-propulsion mode of operation: the mode is suitable for when the ship is in the operation working conditions such as acceleration or load sudden increase, and the output characteristic of the generator cannot quickly respond to the sudden change of power, and the power generator and the energy storage function together to meet the requirement of load power in sailing.
3) Active load shedding mode: the mode is suitable for the situation that when some sudden conditions occur and the output of the generator cannot meet the power requirement of the system, if the load works normally at the moment, the voltage of the direct current bus is greatly reduced due to power unbalance, and a part of living loads can be cut off according to the importance degree of the load in simulation so as to ensure reliable power supply of the important loads.
The demand side load includes: rigid load, time-shift load, interruptible load. The rigid load is a load for maintaining the basic sailing of the ship, and the interruption of the load can cause serious equipment damage, and serious influence such as propulsion load and the like is generated; the time-shift load refers to a load that is reused for a short time, such as a load of an air conditioner or the like; the interruptible load refers to a load that is occasionally used for a short time, such as a searchlight or the like.
The working objective equation of the energy management algorithm of the full direct current ship micro-grid system is as follows
Figure SMS_7
Figure SMS_8
The physical meaning is that the running cost of the ship micro-grid system is the lowest. C is the running cost of the ship micro-grid, C die (t) is fuel cost, C bat (t) is the depreciation cost of energy storage, < >>
Figure SMS_9
N is the cycle service life of the energy storage battery, C B The price of the single group of energy storage batteries is that n is the number of the energy storage batteries, Q B For rated capacity of energy-storage battery, deltaW bat And (t) is the change of the electric quantity of the energy storage battery at the moment t.
The constraints on the parameters are as follows: the system power must be between an upper power limit and a lower power limit; the power generation power of the diesel generator is between the predicted output value and the minimum output value; the charging power of the energy storage unit is smaller than the smaller value of the minimum charging power and the SOC charging limit value, the discharging power is larger than the smaller value of the minimum discharging power and the SOC discharging limit value, and the electric quantity is positioned above the minimum electric quantity; the generator propulsion mode of operation power must be between an upper power limit and a lower power limit; the active load shedding mode power must be greater than the sum of the battery discharge and the power fuel supply power, specifically:
1) System power balance constraint:
Figure SMS_10
P load (t) is the sum of the load demand power at the moment t, P bat And (T) is the output/absorption power of the energy storage battery at the moment T, and T is 24 hours a day.
2) Operating power constraint of diesel generator:
Figure SMS_11
3) Energy storage battery electric quantity constraint, and electric quantity constraint of energy storage batteries between two adjacent moments:
Figure SMS_12
Figure SMS_13
wherein: w (W) bat And (t) is the electric quantity of the energy storage battery at the moment t.
Upper and lower limit constraints for energy storage battery to store and release power:
Figure SMS_14
Figure SMS_15
wherein: />
Figure SMS_16
The electric quantity stored and released by the energy storage battery i at the time t is respectively +.>
Figure SMS_17
The maximum values of the stored and released electric quantity of the energy storage battery i are respectively obtained.
4) Generator propulsion mode of operation power constraint:
Figure SMS_18
5) Active load shedding mode power constraint:
Figure SMS_19
according to the rule-based energy management method, the change of the load torque of the propulsion motor is used for simulating different operation conditions of the system, the energy manager is used for collecting the load power of each pusher, the life load power and the state information of the SOC of the energy storage unit, and the distribution of the power generation power of the power generation unit and the power consumption of each load at the required side is determined according to the target voltage value of the direct current bus to be stabilized, the current required power of the system and the operation condition of each load, as shown in fig. 3, the specific rule execution steps are as follows:
s1: measuring the sum P of load demand power at time t load (t) Power generated by Generator P g (t) is the state of charge, SOC, of the energy storage unit;
s2: judging whether or not P g (t)>P load (t) if yes, go to step 3, if no, determine whether SOC<40%, if yes, load is reduced, otherwise energy storage is discharged;
s3: judging whether the SOC is less than 90%, if so, discharging the stored energy, and turning to the step 4, otherwise, idling the stored energy for standby;
s4: collecting the current running time t and the running ending time t end Determine whether t>t end If yes, the system stops running, otherwise, the step S1 is returned.
The CSA algorithm is a novel intelligent optimization algorithm based on foraging behaviors among populations, and finds an optimal solution meeting constraint conditions from all feasible solutions in a given solving space, and specifically comprises the following steps:
Figure SMS_20
Figure SMS_21
for the optimal solution in the current iteration process, w iter For inertial weight after the ith iteration, iter max For maximum number of iterations, w min 、w max Respectively minimum and maximum values of the inertial weight coefficients.
As shown in fig. 4, the CSA algorithm specifically includes:
s1, initializing various adjustable parameters, and completing definition of corresponding objective functions according to the studied problems;
s2, initializing the position and the memory position of the individual, and assuming the initial position of the individual as the memory position;
s3, calculating the optimal position in the individual memory according to the objective function;
s4, judging whether the algorithm is in local optimum or not, if so, turning to step 5, and if not, determining the algorithm according to the formula
Figure SMS_22
S5, when the trap is in local optimum, the method is according to the formula
Figure SMS_23
Introducing random disturbance to enable an algorithm to jump out of a current local optimal state;
s6, recalculating the fitness function of the individual, and updating the corresponding memory position and the optimal position information;
s7, repeating the steps 3-6 until the set maximum iteration times are reached, and terminating the circulation operation;
and S8, outputting the optimal target value searched by the individual in the updating process.
Through specific practical experiments, the system parameters shown in table 1 and table 2 are used for starting an experiment platform such as the experiment platform of fig. 6, and the direct-current side bus voltage in different modes and different states is shown in fig. 7.
TABLE 1
Figure SMS_24
TABLE 2
Figure SMS_25
As shown in fig. 7 and 8, in this case, if no operation is performed and no energy is stored, the voltage offset is 3.5%, after the system is not stored but the load shedding operation is performed, the voltage offset is reduced to 1.8%, if the energy storage unit works, the voltage offset is further reduced to 1.4%, and if the energy storage unit is stored and a rule-based energy management strategy is added, the voltage offset is further reduced to 1.2%, so as to improve the transient power quality and the transient stability. The running costs after optimization of the different algorithms are shown in fig. 8: the improved CSA algorithm is superior to other comparison algorithms in both convergence speed and optimizing capability, wherein the total operation cost of the ship micro-grid is reduced by 21.3%, 17.2% and 4.4% in sequence compared with the GA algorithm, the PSO algorithm and the CSA algorithm, and the operation economy of the ship micro-grid is improved.
In summary, the invention adopts the energy management strategy based on rules in a short time scale, and the maximum voltage deviation rate of the system is only 0.4% when different operation modes are switched, thereby effectively improving the transient stability and improving the electric energy quality. Under a long time scale, a CSA algorithm is adopted, so that a load curve is smoother, the peak clipping and valley filling effects are achieved, certain economic benefits are achieved, the aim of improving the stability of the full-direct-current ship micro-grid system is fulfilled, the scheduling effect is optimized, and the system economy is improved.
The foregoing embodiments may be partially modified in numerous ways by those skilled in the art without departing from the principles and spirit of the invention, the scope of which is defined in the claims and not by the foregoing embodiments, and all such implementations are within the scope of the invention.

Claims (5)

1. The multi-time scale comprehensive energy management method of the full direct current ship micro-grid system is characterized by comprising the following steps of: a rule-based energy management strategy at the bottom layer and an improved crow search algorithm at the top layer, wherein: the energy management strategy aims at the short-time control of the energy storage unit and the demand side load and aims at the energy storage unit and the demand side load, and the energy storage system is controlled to access or cut off a part of the demand side load according to the need when the running working condition of the full-direct-current ship micro-grid system is switched by collecting the generated energy of the power generation unit, the load power of each propeller, the load power of other living types and the direct-current bus voltage in real time; the method comprises the steps of improving a crow search algorithm, aiming at long-term control of a power generation unit, cutting scheduling time into a plurality of time periods, collecting information of load power of each propeller, life load power and state information of an energy storage unit SOC (state of charge) to a micro-grid energy management system, obtaining a total scheduling time optimization scheduling plan of the energy storage unit, a diesel generator and various demand side loads through comprehensive calculation by taking parameter constraint as a calculation condition according to a working objective equation, and setting short-time control given values of power generation capacity and power consumption in the time periods according to scheduling instructions by the energy storage unit, the diesel generator and various demand side loads.
2. The multi-time scale integrated energy management method of an all-direct current marine micro grid system according to claim 1, wherein the all-direct current marine micro grid system comprises: generating unit, energy storage unit, all kinds of converters and demand side load, wherein: the demand side load comprises a propeller and various living loads, the propeller is connected to a direct current bus through an alternating current converter, the power generation unit is connected to the direct current bus through the alternating current converter, the energy storage unit is connected to the direct current bus through the direct current converter, the two work together, the propeller and the loads are supplied with electric energy through the direct current bus, and the various living loads are connected to the direct current bus through the alternating current converter;
the propeller comprises: the main pushing, the upward pushing, the downward pushing and the two side pushing are respectively connected to the direct current bus through the PMSM and the alternating current converter to provide kinetic energy for the ship;
the power generation unit and the energy storage unit are a diesel generator and energy storage equipment, and the diesel generator and the energy storage equipment are combined to provide electric energy for various propellers and living loads through a power transmission line;
the demand side load includes: rigid load, time-shift load and interruptible load, wherein: the rigid load is a load for maintaining the basic sailing of the ship, and the interruption of the load can cause serious equipment damage, and serious influence such as propulsion load and the like is generated; the time-shift load refers to a load that is reused for a short time, such as a load of an air conditioner or the like; the interruptible load refers to a load that is occasionally used for a short time, such as a searchlight or the like.
3. The multi-time scale integrated energy management method of the all-direct current ship micro-grid system according to claim 1, wherein the working objective equation is as follows
Figure FDA0004151004940000011
The physical meaning is that the running cost of the ship micro-grid system is the lowest, wherein: c is the running cost of the ship micro-grid, C die (t) is fuel cost, C bat (t) is the depreciation cost of energy storage, < >>
Figure FDA0004151004940000021
N is the cycle service life of the energy storage battery, C B The price of the single group of energy storage batteries is that n is the number of the energy storage batteries, Q B For rated capacity of energy-storage battery, deltaW bat (t) is the change of the electric quantity of the energy storage battery at the moment t;
the parameter constraint of the working objective equation comprises: the system power must be between an upper power limit and a lower power limit; the power generation power of the diesel generator is between the predicted output value and the minimum output value; the charging power of the energy storage unit is smaller than the smaller value of the minimum charging power and the SOC charging limit value, the discharging power is larger than the smaller value of the minimum discharging power and the SOC discharging limit value, and the electric quantity is positioned above the minimum electric quantity; the generator propulsion mode of operation power must be between an upper power limit and a lower power limit; the active load shedding mode power must be greater than the sum of the battery discharge and the power fueling power.
4. The multi-time scale integrated energy management method of the all-direct current ship micro-grid system according to claim 1, wherein the energy management strategy specifically comprises:
s1: measuring the sum P of load demand power at time t load (t) Power generated by Generator P g (t) is the state of charge, SOC, of the energy storage unit;
s2: when P g (t)>P load (t) go to step 3, otherwise, when SOC<40, load shedding is carried out, otherwise energy storage discharging is carried out;
s3: when the SOC is less than 90%, discharging the stored energy, and turning to the step 4, otherwise, idling the stored energy for standby;
s4: collecting the current running time t and the running ending time t end When t>t end And if not, returning to the step S1.
5. The multi-time scale integrated energy management method of an all-direct current marine micro grid system according to claim 1, wherein the improved CSA algorithm specifically comprises:
s1, initializing various adjustable parameters, and completing definition of corresponding objective functions according to the studied problems;
s2, initializing the position and the memory position of the individual, and assuming the initial position of the individual as the memory position;
s3, calculating the optimal position in the individual memory according to the objective function;
s4, when the algorithm falls into the local optimum, turning to a step S5, otherwise, introducing a weight coefficient to correct the position updating formula, wherein the method specifically comprises the following steps:
Figure FDA0004151004940000022
wherein: rg (g) best For the optimal solution in the current iteration process, iter is the iteration number, w iter For inertial weight after item number iteration, +.>
Figure FDA0004151004940000023
New positions after iterating the item times;
s5, introducing random disturbance to enable the algorithm to jump out of the current local optimal state, specifically:
Figure FDA0004151004940000024
Figure FDA0004151004940000025
wherein: item is iteration number, ++>
Figure FDA0004151004940000026
New positions after iterating the item times;
s6, recalculating the fitness function of the individual, and updating the corresponding memory position and the optimal position information;
s7, repeating the steps S3 to S6 until the set maximum iteration times are reached, and terminating the circulation operation;
and S8, outputting the optimal target value searched by the individual in the updating process.
CN202310319103.3A 2023-03-29 2023-03-29 Multi-time-scale comprehensive energy management method for full-direct-current ship micro-grid system Pending CN116436094A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117350496A (en) * 2023-10-17 2024-01-05 安徽大学 Ocean island group energy management method based on hybrid action space reinforcement learning

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117350496A (en) * 2023-10-17 2024-01-05 安徽大学 Ocean island group energy management method based on hybrid action space reinforcement learning
CN117350496B (en) * 2023-10-17 2024-05-24 安徽大学 Ocean island group energy management method based on hybrid action space reinforcement learning

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