CN115632443A - Energy monitoring and optimal regulation system and method based on black oligogynae algorithm - Google Patents
Energy monitoring and optimal regulation system and method based on black oligogynae algorithm Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 67
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
- G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
Abstract
The invention discloses an energy monitoring and optimal regulation and control system and method based on a black-wife algorithm, which comprises the following steps: each item of energy equipment, a user, a monitoring module, a calculating module, an optimized scheduling module and a control module; the monitoring module is connected with each energy device and the user and is used for monitoring the load output and consumption of each energy device, the load consumption of the user and the energy flow direction among each energy device; the calculating module is connected with the monitoring module and used for receiving the data acquired by the monitoring module and calculating the corresponding cost; the optimization scheduling module is connected with the monitoring module and the calculating module and is used for receiving data of the monitoring module and the calculating module and optimizing by adopting a black and wife algorithm aiming at load consumption to obtain an optimal load allocation strategy; and the control module is connected with the optimized scheduling module and each energy device and is used for omitting and allocating each device according to the optimal load allocation strategy. The invention realizes monitoring of energy flow direction and generation of an optimal control strategy for energy regulation.
Description
Technical Field
The invention relates to the technical field of energy flow monitoring and energy regulation, in particular to an energy monitoring and optimal regulation system and method based on a black-wife algorithm.
Background
Various human life and production activities can not be driven by the use of energy, and the concept of low-carbon life is started, so that the energy structure transformation is promoted, wherein the use of various energy sources is not required, and the attention is paid to electric load, heat load, cold load and the like. In order to ensure energy safety and accelerate green low-carbon transformation, the monitoring of energy flow direction and the energy optimization regulation and control to reduce economic cost become the core and key.
In the prior art, the problem of monitoring the energy load is often monitored only aiming at various loads in the traditional energy structure, the monitoring and feedback of the flow directions of various loads are neglected, and the monitoring of the energy structure is to be further improved. In the prior art, a plurality of load optimization distribution modes are provided, the traditional modes comprise a linear programming method and a dynamic programming method, and modern algorithms comprise a particle swarm algorithm, a genetic algorithm and a neural network algorithm. The traditional algorithm and the modern algorithm are equal, although the load distribution is optimized and distributed to a certain extent, the load distribution is optimized and distributed based on the load in the traditional energy monitoring system, each algorithm has certain defects, and the overall energy utilization rate is to be further improved.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the technical problems, the invention provides an energy monitoring and optimizing regulation and control system based on a black and wife algorithm, which can monitor and display the flow direction of various loads in an energy system; and an optimal control strategy for energy regulation and control meeting different scenes and different field requirements is generated by adopting a black and wife algorithm, so that the energy utilization rate of the energy flow monitoring system is improved, and the comprehensive cost is reduced. The invention also provides an energy monitoring and optimal regulation method based on the black oligogynae algorithm, and an optimal control strategy for energy regulation is generated.
The technical scheme is as follows: in order to solve the problems, the invention discloses an energy monitoring and optimizing regulation and control system based on a black and wife algorithm, which specifically comprises the following steps: each item of energy equipment, a user, a monitoring module, a calculation module, an optimized scheduling module and a control module;
the monitoring module is connected with each energy device and a user and is used for monitoring and displaying the load output and consumption of each energy device, the load consumption of the user and the energy flow direction among each energy device;
the computing module is connected with the monitoring module and used for receiving the load output and consumption of each energy device and the load consumption of a user, which are acquired by the monitoring module, calculating corresponding cost and then transmitting the cost to the monitoring module for displaying;
the optimized scheduling module is connected with the monitoring module and the calculating module and is used for receiving data of the monitoring module and the calculating module and optimizing by adopting a black and wife algorithm aiming at load consumption to obtain an optimal load allocation strategy; the optimal load allocation strategy is an energy equipment allocation combination which meets specific load requirements and has the lowest cost;
and the control module is connected with the optimized scheduling module and each energy device and is used for omitting and allocating each device according to the optimal load allocation strategy.
Further, the connection relation and the energy flow direction between each item of energy equipment are specifically set as follows:
each item of energy equipment comprises a power generation device, a photovoltaic panel, a gas internal combustion engine, a gas boiler, a fuel cell, an electric refrigerator, an absorption refrigerator, a heat exchange device, a hot water storage tank, a power distribution network and a storage battery;
the smoke output end of the gas internal combustion engine is respectively connected with the absorption refrigerator and the heat exchange device; the gas internal combustion engine provides heat load for the absorption refrigerator and the heat exchange device respectively; the output end of the absorption refrigerator provides a cold load for a user, and the output end of the heat exchange device provides a heat load for the user; the gas internal combustion engine is connected with the electric refrigerator and provides electric load for the electric refrigerator and a user; the gas internal combustion engine provides heat load for users;
the flue gas output end of the gas-fired boiler is respectively connected with the absorption refrigerator and the heat exchange device; the gas boiler provides heat load for the absorption refrigerator and the heat exchange device respectively; the output end of the heat exchange device is connected with the hot water storage tank, and the hot water storage tank stores a heat load and provides the heat load for a user; the gas boiler provides heat load for users;
the distribution network is connected with the electric refrigerator and provides electric loads for the electric refrigerator and a user;
the photovoltaic panel is connected with the electric refrigerator and provides electric load for the electric refrigerator and a user;
the fuel cell is connected with the electric refrigerator and provides electric load for the electric refrigerator and a user;
the storage battery is connected with the wind power generation device, the power distribution network, the photovoltaic panel, the gas internal combustion engine, the fuel cell and the electric refrigerator, receives and stores electric loads generated by the wind power generation device, the power distribution network, the photovoltaic panel, the gas internal combustion engine and the fuel cell, and provides the electric loads for the electric refrigerator and a user.
In addition, the invention also provides an energy monitoring and optimal regulation and control method based on the black oligogynae algorithm, which comprises the following steps:
(1) Acquiring and displaying load output or consumption of each energy device and load consumption of a user in real time; calculating load output or consumption of each energy device and load consumption of a user and calculating corresponding cost;
(2) Optimizing by adopting a black widow algorithm according to the acquired data and aiming at the specific load consumption requirement to acquire an optimal load allocation strategy; the optimal load allocation strategy is an energy equipment allocation combination which meets specific load requirements and has the lowest cost;
(3) And omitting and allocating various energy equipment according to the obtained optimal load allocation strategy.
Further, the step (2) comprises the following steps:
(2.1) taking the load output and consumption of each energy device and the load consumption of a user as input; setting the maximum iteration times and the boundary range; performing data initialization on input, randomly initializing a population in a boundary range, and evaluating a fitness function value;
(2.2) randomly generating parameters m and beta;
(2.3) generating a random number rand and updating the position of the black widow, wherein the calculation formula is as follows;
in the formula, X i (t + 1) represents the updated position of the black oligoniers, X best Representing the current optimal position of the black oligoniers; m is a random number in the range of [0.4,09](ii) a Beta is a random number in the range of-1, 1]A random number within; x r1 (t) represents the position of the r1 th black oligowoman selected randomly; x i (t) indicates the current black oligowoman position;
(2.4) calculating pheromones, wherein the calculation formula is as follows:
wherein Pheromone (i) represents the Pheromone concentration value of the ith black oligowoman; fitness (i) represents the fitness value obtained by the ith black oligowoman; fitness max Represents the optimal fitness function value, fitness min Representing a worst fitness function value;
(2.5) updating the positions of black widgets with low pheromone levels; the low pheromone level refers to a pheromone rate value equal to or less than 0.3; the concrete formula is as follows:
in the formula, X i (t) indicates the location of black oligowomen with low pheromone levels; r1 and r2 are the population numbers [1, N]Number within range and r1 ≠ r2; x r2 (t) indicates the position of the r2 th black oligowoman; a random binary number {0,1} represented by σ;
(2.6) re-evaluating the fitness function, and updating the optimal position and the optimal solution of the black widow, namely the optimal load allocation strategy;
and (2.7) judging whether the maximum iteration times is reached, if so, outputting the optimal black and wife positions and the global optimal solution, and otherwise, returning to the step (2.1) to carry out iterative computation again.
Further, the data initialization in the step (2.1) specifically adopts a half number uniform initialization mode, namely, the initial data is divided into two parts, one part is randomly initialized, and the other part is uniformly initialized; the two fractions were then combined randomly.
In addition, the present invention also provides an embedded system readable storage medium, which includes a stored computer program, wherein when the embedded system program runs, the embedded system readable storage medium controls a device in which the embedded system readable storage medium is located to execute the steps of any of the above methods. An embedded system device, memory, processor and program stored and executable on said memory, said program when executed by the processor implementing the steps of the method as claimed in any one of the preceding claims.
Has the beneficial effects that: compared with the prior art, the invention provides an energy monitoring and optimizing regulation and control system based on the black and oligogynecopathy algorithm, which has the remarkable advantages that: 1. by setting the monitoring module and the connection mode of each energy device of the energy system, not only can various loads in the energy system be monitored, but also the flow of various loads can be correspondingly monitored and controlled; 2. by adopting the black and wife algorithm to generate optimal regulation and control strategies according to different scenes and different field requirements, the energy utilization rate of the system is greatly improved, and the comprehensive cost can be reduced.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic illustration of the monitoring of energy source flow in the system of the present invention;
FIG. 3 is a flow chart of the method of the present invention;
fig. 4 is a schematic diagram showing the comparison between the energy utilization rate of the present invention and the energy utilization rate of the prior art.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings.
As shown in fig. 1 and fig. 2, the present invention provides an energy monitoring and optimizing control system based on black widow algorithm, which specifically comprises: each item of energy equipment, a user 15, a monitoring module 6, a calculating module 8, an optimized scheduling module 9 and a control module 7; each item of energy equipment comprises a power generation device 1, a photovoltaic panel 2, a gas internal combustion engine 3, a gas boiler 4, a fuel cell 5, an electric refrigerator 10, an absorption refrigerator 11, a heat exchange device 12, a hot water storage tank 13, a power distribution network 14 and a storage battery 16.
The monitoring module 6 is connected with each energy device and the user 15, and is used for monitoring and displaying the load output and consumption of each energy device, the load consumption of the user and the energy flow direction among each energy device.
Wherein, the relation of connection between each item energy equipment and the concrete setting of energy flow direction include:
the flue gas output end of the gas internal combustion engine 3 is connected with the monitoring module 6 and the absorption refrigerator 10, and the high-temperature flue gas and the cylinder sleeve water generated by the gas internal combustion engine 3 are delivered to the absorption refrigerator 10, namely, the gas internal combustion engine 3 provides heat load for the absorption refrigerator 10. The output of the absorption chiller 10 provides the cooling load to the user 15. The flue gas output end of the gas internal combustion engine 3 is connected with the monitoring module 6 and the heat exchange device 12, and high-temperature flue gas and cylinder sleeve water generated by the gas internal combustion engine 3 are delivered to the heat exchange device 12. The output of the heat exchange means 12 provides the heat load for the user 15. The gas combustion engine 3 itself provides the heat load for the user 15 by consuming natural gas.
The flue gas output end of the gas boiler 4 is connected with the monitoring module 6 and the absorption refrigerator 10, and the gas boiler 4 provides heat load for the absorption refrigerator 10. The flue gas output end of gas boiler 4 is connected with monitoring module 6, heat transfer device 12, and gas boiler 4 provides heat load for heat transfer device 12. The output end of the heat exchange device 12 is connected with the monitoring module 6 and the hot water storage tank 13, and the hot water storage tank 13 stores a heat load and provides the heat load for a user 15. The gas boiler 4 itself provides the heat load for the user 15 by consuming natural gas.
The distribution network 14 is connected to the monitoring module 6 and the electric refrigeration machine 10, the distribution network 14 providing the electric refrigeration machine 10 and the user 15 with an electric load. The photovoltaic panel 2 is connected with the monitoring module 6 and the electric refrigerator 10, and the photovoltaic panel 2 provides electric load for the electric refrigerator 10 and a user 15. The gas internal combustion engine 3 is connected with the monitoring module 6 and the electric refrigerator 10, and the gas internal combustion engine 3 provides electric loads for the electric refrigerator 10 and a user 15. The fuel cell 5 is connected with the monitoring module 6 and the electric refrigerator 10, and the fuel cell 5 provides electric load for the electric refrigerator 10 and a user 15.
The storage battery 16 is connected with the wind power generation device 1, the power distribution network 14, the photovoltaic panel 2, the gas internal combustion engine 3, the fuel cell 5, the electric refrigerator 10 and the monitoring module 6 and a user 15, the storage battery 16 receives and stores electric loads generated in the system, and meanwhile, the electric loads are provided for the electric refrigerator 10 and the user 15. The rest electricity of the storage battery 16 is connected to the internet.
The calculation module 8 is connected with the monitoring module 6, and the calculation module 6 receives data transmitted by the monitoring module 6, wherein the data comprises load output and consumption of various energy equipment and load consumption of a user; and associated cost calculations are performed. And transmitting the calculated economic cost value to the monitoring module 6 and displaying the economic cost value.
The optimization scheduling module 9 is connected with the monitoring module 6 and the calculating module 8, the optimization scheduling module 9 receives relevant data of the monitoring module 6 and the calculating module 8, optimizes the load consumption by adopting a black and wife algorithm to obtain an optimal load allocation strategy, and solves an optimal solution to obtain an optimal regulation and control strategy. The optimal load allocation strategy is an energy equipment allocation combination which meets specific load requirements and has the lowest cost.
The control module 7 is connected with the wind power generation device 1, the photovoltaic panel 2, the gas internal combustion engine 3, the gas boiler 4, the fuel cell 5, the optimized scheduling module 9, the electric refrigerator 10, the absorption refrigerator 11, the heat exchange device 12, the hot water storage tank 13, the power distribution network 14 and the user 15, and the control module 7 receives the scheduling strategy of the optimized scheduling module 9 and controls each energy device according to the scheduling strategy, so that the purpose of optimized scheduling is achieved.
As shown in fig. 1 and fig. 3, based on the above system, the present invention further provides an energy monitoring and optimal regulation method based on the black and widow algorithm, which includes the following steps:
step one, acquiring and displaying load output or consumption of various energy equipment and load consumption of a user in real time; calculating load output or consumption of each energy device and load consumption of a user and calculating corresponding cost;
step two, optimizing by adopting a black and wife algorithm to obtain an optimal load allocation strategy by taking the lowest cost corresponding to the consumed load as a target function and a constraint condition under the condition of meeting the requirement of a specific load according to the obtained data; the method comprises the following specific steps:
(1) The load output and consumption of each energy equipment and the load consumption of a user are taken as input; setting the maximum iteration times and the boundary range; performing data initialization on input, randomly initializing a population in a boundary range, and evaluating a fitness function value; specifically, in the present embodiment, a half uniform initialization mode is adopted for data initialization, that is, the initial data is divided into two parts, one part is randomly initialized, and the other part is uniformly initialized; and then the two parts are randomly combined to form half of uniform initialization.
(2) Randomly generating parameters m and beta;
(3) Generating a random number rand and updating the position of the black oligoniers, wherein the calculation formula is as follows;
in the formula, X i (t + 1) represents the updated position of the black oligoniers, X best Representing the current optimal position of the black oligoniers; m is a random number in the range of [0.4,09](ii) a Beta is a random number in the range of-1, 1]A random number within; x r1 (t) represents the position of the r1 th black oligowoman selected randomly; x i (t) indicates the current black oligowoman position;
(4) Calculating pheromone, wherein the calculation formula is as follows:
wherein Pheromone (i) represents the Pheromone concentration value of the ith black oligowoman; fitness (i) represents the fitness value obtained by the ith black oligowoman; fitness max Representing the optimal fitness function value, fitness min Representing a worst fitness function value;
(5) Updating the location of black oligomeres with low pheromone levels; the low pheromone level refers to a pheromone rate value equal to or less than 0.3; the concrete formula is as follows:
in the formula, X i (t) indicates the location of black oligowomen with low pheromone levels; r1 and r2 are the population numbers [1, N]A number within the range and r1 ≠ r2; x r2 (t) indicates the position of the r2 th black oligowoman; a random binary number {0,1} represented by σ;
(6) Re-evaluating the fitness function, and updating the optimal positions of black and wife and the optimal solution, namely the optimal load allocation strategy;
(7) And (4) judging whether the maximum iteration times is reached, if so, outputting the optimal black and wife positions and the global optimal solution, and otherwise, returning to the step (1) to perform iterative computation again.
And step three, omitting and allocating various energy devices according to the obtained optimal load allocation strategy.
In a specific embodiment, the maximum number of iterations set by the present invention is 20. In the comparison of the energy utilization rate before and after the optimization shown in fig. 4, the energy utilization rate of the conventional energy system (which is not optimized) in the prior art is lower than that of the energy system (which is optimized) provided by the present invention, so that the energy is consumed in a large amount. After optimization, the utilization rate of energy is improved, and the economic cost is reduced.
Claims (7)
1. An energy monitoring and optimal regulation system based on a black widow algorithm is characterized by comprising: each item of energy equipment, a user, a monitoring module, a calculation module, an optimized scheduling module and a control module;
the monitoring module is connected with each energy device and the user and is used for monitoring and displaying the load output and consumption of each energy device, the load consumption of the user and the energy flow direction among each energy device;
the computing module is connected with the monitoring module and used for receiving the load output and consumption of each energy device and the load consumption of a user, which are acquired by the monitoring module, calculating corresponding cost and then transmitting the cost to the monitoring module for displaying;
the optimized dispatching module is connected with the monitoring module and the calculating module and is used for receiving data of the monitoring module and the calculating module and optimizing by adopting a black and wife algorithm according to load consumption to obtain an optimal load allocation strategy; the optimal load allocation strategy is an energy equipment allocation combination which meets specific load requirements and has the lowest cost;
and the control module is connected with the optimized scheduling module and each energy device and is used for omitting and allocating each device according to the optimal load allocation strategy.
2. The system for monitoring, optimizing and controlling energy resources based on the black widow algorithm according to claim 1, wherein the connection relationship and the energy flow direction between each energy resource device are specifically set as follows:
each item of energy equipment comprises a power generation device, a photovoltaic panel, a gas internal combustion engine, a gas boiler, a fuel cell, an electric refrigerator, an absorption refrigerator, a heat exchange device, a hot water storage tank, a power distribution network and a storage battery;
the smoke output end of the gas internal combustion engine is respectively connected with the absorption refrigerator and the heat exchange device; the gas internal combustion engine respectively provides heat loads for the absorption refrigerator and the heat exchange device; the output end of the absorption refrigerator provides a cooling load for a user, and the output end of the heat exchange device provides a heat load for the user; the gas internal combustion engine is connected with the electric refrigerator and provides electric load for the electric refrigerator and a user; the gas internal combustion engine provides heat load for users;
the flue gas output end of the gas-fired boiler is respectively connected with the absorption refrigerator and the heat exchange device; the gas boiler provides heat load for the absorption refrigerator and the heat exchange device respectively; the output end of the heat exchange device is connected with the hot water storage tank, and the hot water storage tank stores a heat load and provides the heat load for a user; the gas boiler provides heat load for users;
the power distribution network is connected with the electric refrigerator and provides electric loads for the electric refrigerator and a user;
the photovoltaic panel is connected with the electric refrigerator and provides electric load for the electric refrigerator and a user;
the fuel cell is connected with the electric refrigerator and provides electric load for the electric refrigerator and a user;
the storage battery is connected with the wind power generation device, the power distribution network, the photovoltaic panel, the gas internal combustion engine, the fuel cell and the electric refrigerator, receives and stores electric loads generated by the wind power generation device, the power distribution network, the photovoltaic panel, the gas internal combustion engine and the fuel cell, and provides the electric loads for the electric refrigerator and a user.
3. An energy monitoring and optimal regulation and control method based on a black widow algorithm is characterized by comprising the following steps:
(1) Acquiring and displaying load output or consumption of each energy device and load consumption of a user in real time; calculating load output or consumption of each energy equipment and load consumption of a user and calculating corresponding cost;
(2) Optimizing by adopting a black and wife algorithm according to the acquired data and aiming at specific load consumption requirements to acquire an optimal load allocation strategy; the optimal load allocation strategy is an energy equipment allocation combination which meets specific load requirements and has the lowest cost;
(3) And omitting and allocating various energy equipment according to the obtained optimal load allocation strategy.
4. The black widow algorithm-based energy monitoring and optimal regulation and control method according to claim 3, wherein the step (2) comprises:
(2.1) taking the load output and consumption of each energy device and the load consumption of a user as input; setting the maximum iteration times and the boundary range; performing data initialization on input, randomly initializing a population in a boundary range, and evaluating a fitness function value;
(2.2) randomly generating parameters m and beta;
(2.3) generating a random number rand and updating the position of the black widow, wherein the calculation formula is as follows;
in the formula, X i (t + 1) represents the updated position of the black oligowoman, X best Representing the current optimal position of the black oligoniers; m is a random number in the range of [0.4,09](ii) a Beta is a random number in the range of-1, 1]；X r1 (t) indicates the position of the r1 th black oligowoman selected randomly; x i (t) represents whenThe location of the anterior black oligoniers;
(2.4) calculating pheromones, wherein the calculation formula is as follows:
wherein Pheromone (i) represents the Pheromone concentration value of the ith black oligowoman; fitness (i) represents the fitness value obtained by the ith black oligowoman; fitness max Representing the optimal fitness function value, fitness min Representing a worst fitness function value;
(2.5) updating the positions of black widgets with low pheromone levels; the low pheromone level refers to a pheromone rate value equal to or less than 0.3; the concrete formula is as follows:
in the formula, X i (t) indicates the location of black oligowomen with low pheromone levels; r1 and r2 are the population numbers [1, N]A number within the range and r1 ≠ r2; x r2 (t) indicates the position of the r2 th black oligowoman; a random binary number {0,1} represented by σ;
(2.6) re-evaluating the fitness function, and updating the optimal position and the optimal solution of the black widow, namely the optimal load allocation strategy;
and (2.7) judging whether the maximum iteration times is reached, if so, outputting the optimal black and wife positions and the global optimal solution, and otherwise, returning to the step (2.1) to carry out iterative computation again.
5. The energy monitoring and optimal regulation and control method based on the black widow algorithm according to claim 3, wherein the data initialization in step (2.1) specifically adopts a half number uniform initialization mode, i.e. the initial data is divided into two parts, one part is randomly initialized, and the other part is uniformly initialized; the two fractions were then combined randomly.
6. An embedded system readable storage medium, characterized in that the embedded system readable storage medium comprises a stored computer program, wherein the embedded system program, when running, controls a device on which the embedded system readable storage medium is located to perform the steps of the method according to any one of claims 3 to 5.
7. An embedded system device, characterized by a memory, a processor and a program stored and executable on said memory, said program realizing the steps of the method according to any of the claims 3 to 5 when executed by the processor.
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Cited By (3)
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| CN116386215A (en) * | 2023-03-16 | 2023-07-04 | 淮阴工学院 | Intelligent charging method for mobile electric box based on people flow |
| CN116581742A (en) * | 2023-05-16 | 2023-08-11 | 淮阴工学院 | Chameleon algorithm-based flexible electric load scheduling system and chameleon algorithm-based flexible electric load scheduling method for regulating and controlling intelligent cloud platform |
| CN116609672A (en) * | 2023-05-16 | 2023-08-18 | 国网江苏省电力有限公司淮安供电分公司 | Energy storage battery SOC estimation method based on improved BWOA-FNN algorithm |
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