CN114914918A - Off-grid sea island seawater desalination system driven by full renewable energy and regulation and control method thereof - Google Patents

Off-grid sea island seawater desalination system driven by full renewable energy and regulation and control method thereof Download PDF

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CN114914918A
CN114914918A CN202210676233.8A CN202210676233A CN114914918A CN 114914918 A CN114914918 A CN 114914918A CN 202210676233 A CN202210676233 A CN 202210676233A CN 114914918 A CN114914918 A CN 114914918A
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energy storage
power
output power
module
energy
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王东来
刘蕊
李奇颖
刘政翰
张桂凡
赵琰
林盛
王健
姜河
王伟
薄文
李泉铮
董弋铭
黄钰
史金鹏
李佳音
张臻
刘照群
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Shenyang Institute of Engineering
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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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F1/00—Treatment of water, waste water, or sewage
    • C02F1/44—Treatment of water, waste water, or sewage by dialysis, osmosis or reverse osmosis
    • C02F1/441—Treatment of water, waste water, or sewage by dialysis, osmosis or reverse osmosis by reverse osmosis
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
    • 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
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • 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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • 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
    • H02J3/381—Dispersed generators
    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2103/00—Nature of the water, waste water, sewage or sludge to be treated
    • C02F2103/08—Seawater, e.g. for desalination
    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2201/00—Apparatus for treatment of water, waste water or sewage
    • C02F2201/009—Apparatus with independent power supply, e.g. solar cells, windpower, fuel cells
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
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  • Environmental & Geological Engineering (AREA)
  • Water Supply & Treatment (AREA)
  • Chemical & Material Sciences (AREA)
  • Organic Chemistry (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
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Abstract

The invention relates to an off-grid sea water desalination system driven by full renewable energy, which comprises: the system comprises a regulation center, a prediction module, an energy storage module, a power generation module and a seawater desalination module; the power generation module comprises a wind generating set, a wave energy generating set and a solar generating set; the prediction module is respectively connected with the energy storage module, the power generation module, the seawater desalination module and the regulation and control center; the regulation center is connected with the energy storage module; the energy storage module comprises an energy storage battery and a pumped storage unit; the prediction module is used for calculating the total output power of the renewable energy sources; calculating net load according to the total output power of renewable energy sources, the total power required by seawater desalination and the island load requirement; the control center is used for controlling the energy storage battery and the pumped storage unit to execute an energy storage strategy when the net load is greater than or equal to 0; and when the net load is less than 0, controlling the energy storage battery and the pumped storage unit to execute a discharging strategy. The full utilization of various energy sources on the sea is realized.

Description

Off-grid sea island seawater desalination system driven by full renewable energy and regulation and control method thereof
Technical Field
The invention relates to the technical field of seawater desalination, in particular to an off-grid sea island seawater desalination system driven by full renewable energy and a regulation and control method thereof.
Background
Due to the uniqueness of the geographical positions of islands, a plurality of power supply systems of the islands adopt continental supply or self-contained diesel generators, and a few systems are mixed with low-permeability wind-light renewable energy sources. The sea island adopting diesel oil for power generation has serious and insufficient power generation capability, and the ecological environment of the sea island is easy to damage; if the submarine cable is adopted for power supply, the investment cost is very high, and once the submarine cable is damaged, the maintenance difficulty is high, and the power supply reliability of the island is difficult to ensure. Therefore, solving the problem of power shortage has great significance in promoting the development of socioeconomic development in island regions. The construction and development of islands are not only related to reliable electric energy, but also closely related to fresh water supply, and fresh water resources are the foundation of island development construction and economic development. Due to the special geographical environment of the island, the island can utilize fresh water, has few rivers, limited underground water resources, fragile geological conditions and great development difficulty of water resources. The precipitation of the island is related to the weather, and if the weather is dry, no rainwater can be used and the area of the island is limited. The shortage of fresh water resources not only affects the daily life of residents on the island, but also severely restricts the development, construction and economic development of the island. Therefore, a complete comprehensive energy system of the island is established to continuously supply fresh water resources and power requirements for the island, abundant renewable energy is fully utilized, and the rapid development of the island is facilitated.
Disclosure of Invention
In view of this, the invention provides an off-grid sea water desalination system driven by fully renewable energy and a regulation and control method thereof, so as to realize the full utilization of renewable energy.
In order to achieve the purpose, the invention provides the following scheme:
an all renewable energy driven off-grid sea island desalination system, the system comprising: the system comprises a regulation center, a prediction module, an energy storage module, a power generation module and a seawater desalination module; the power generation module comprises a wind generating set, a wave energy generating set and a solar generating set;
the prediction module is respectively connected with the energy storage module, the power generation module, the seawater desalination module and the regulation and control center;
the regulation center is connected with the energy storage module; the energy storage module comprises an energy storage battery and a pumped storage unit;
the prediction module is used for calculating the total output power of the renewable energy sources; calculating net load according to the total output power of renewable energy sources, the total power required by seawater desalination and the island load requirement;
the control center is used for controlling the energy storage battery and the pumped storage unit to execute an energy storage strategy when the net load is greater than or equal to 0; and when the net load is less than 0, controlling the energy storage battery and the pumped storage unit to execute a discharge strategy.
Optionally, the prediction module is connected with the energy storage module, the power generation module, the seawater desalination module and the regulation and control center respectively, and the regulation and control center is connected with the energy storage module in a dual communication manner;
the dual communication mode includes power line carrier and wireless communication.
A regulation and control method of an off-grid sea island seawater desalination system driven by full renewable energy sources comprises the following steps:
calculating the total output power of the renewable energy sources;
calculating net load according to the total output power of renewable energy sources, the total power required by seawater desalination and the island load requirement;
when the net load is greater than or equal to 0, controlling the energy storage battery and the pumped storage unit to execute an energy storage strategy;
and when the net load is less than 0, controlling the energy storage battery and the pumped storage unit to execute a discharge strategy.
Optionally, the calculating the total output power of the renewable energy specifically includes:
acquiring wind speed, illumination intensity and sea wave height;
calculating the output power of the wind driven generator according to the wind speed by using the following formula;
Figure BDA0003694735400000021
wherein, P wt The output power of the wind driven generator at the moment t; v. of ci The cut-in wind speed of the fan is obtained; v. of r The rated wind speed of the fan; v. of co The wind speed is cut off for the fan; p r Rated output power of the fan; v. of o(t) Is the wind speed at time t;
calculating the output power of the solar cell according to the illumination intensity by using the following formula;
Figure BDA0003694735400000031
in the formula, P pv The output power of the solar power generation system; m st The standard test condition of a solar power generation system manufacturer is that the specified illumination intensity is 1kW/m 2 Specifying the surface temperature T of the cell plate n At 25 ℃; p S Rated output power of the solar cell under standard test conditions; m c(t) The illumination intensity of the working place where the solar cell is located; t is s The ambient temperature of the working place where the solar cell is located; k is a power temperature coefficient;
calculating the output power of the wave energy generator according to the wave height by using the following formula;
Figure BDA0003694735400000032
wherein, P wa Is the output power of the wave energy generator; rho is the density of the seawater; g is gravity acceleration; h wa Is the height of the sea surface waves; t is wa The wave period of the sea surface; l is wa A width for the wave energy generator to receive waves;
and calculating the sum of the output power of the wind driven generator, the output power of the solar battery and the output power of the wave energy generator as the total output power of the renewable energy sources.
Optionally, the calculating the total output power of the renewable energy specifically includes:
the objective function is constructed by taking the minimum operation and maintenance cost as a target:
C ann ＝C wa +C wt +C pv +C de +C cn ；
wherein, C ann Representing an objective function, C wa The operation and maintenance cost of the wave energy generator set is reduced; c wt The operation and maintenance cost of the wind generating set is solved; c pv The operation and maintenance cost of the solar generator set is reduced; c de The maintenance cost of the dual-system communication equipment is reduced; c cn The operation and maintenance cost of the energy storage battery is reduced;
the constraints for determining the output power of each renewable energy source are:
Figure BDA0003694735400000033
wherein, P wa Is the output power of the wave energy generator;
Figure BDA0003694735400000041
rated power of the wave energy generator; p wt Is the output power of the wind driven generator;
Figure BDA0003694735400000042
the rated power of the wind driven generator; p pv The output power of the solar power generation system;
Figure BDA0003694735400000043
the rated power of the solar power generation system;
solving the objective function by adopting an improved particle swarm algorithm based on the constraint condition, and determining the output power of each renewable energy source when the objective function is minimum;
the sum of the output power of each renewable energy source is calculated as the total output power of the renewable energy sources.
Optionally, the weight factor, the first learning factor, and the second learning factor of the improved particle swarm algorithm are:
Figure BDA0003694735400000044
where ω' is a weighting factor, ω min And ω max Minimum and maximum values of the weighting factor, ω, respectively min Take 0.3, omega max Take 0.9, t cur The number of current iterations; t is t max The total number of iterations; c. C 1f And c 2f Are respectively a first learning factor c 1 A second learning factor c 2 The end values of (a) and (b) are 0.55 and 2, respectively; c. C 1i And c 2i Are respectively the first learning factor c 1 A second learning factor c 2 2 and 0.55 respectively;
the speed updating formula of the improved particle swarm optimization is as follows:
Figure BDA0003694735400000045
wherein the content of the first and second substances,
Figure BDA0003694735400000046
represents the average of the individual optima of all particles,
Figure BDA0003694735400000047
and
Figure BDA0003694735400000048
the speed of the particle i in the t +1 th iteration and the t th iteration respectively; r is 1 And r 2 Is two random numbers between 0 and 1;
Figure BDA0003694735400000049
is the position of the particle i at the t +1 th iteration;
Figure BDA00036947354000000410
and the global optimal position of the particle swarm in the t-th iteration is obtained.
Optionally, when the net load is greater than or equal to 0, controlling the energy storage battery and the pumped storage unit to execute an energy storage strategy, specifically including;
and controlling the energy storage battery to charge, determining the absorption power of the energy storage battery according to the charging power curve of the energy storage battery and the current charge state of the energy storage battery, and controlling the water pumping energy storage unit to store energy when the net load is greater than the absorption power of the energy storage battery.
Optionally, when the net load is less than 0, controlling the energy storage battery and the pumped storage unit to execute a discharge strategy specifically includes;
and controlling the energy storage battery to discharge, determining the discharge power of the energy storage battery according to the discharge power curve of the energy storage battery and the current charge state of the energy storage battery, and controlling the water pumping energy storage unit to generate power when the absolute value of the net load is greater than the discharge power of the energy storage battery.
A regulation system for an off-grid island seawater desalination system driven by a fully renewable energy source, the system comprising:
the total output power calculation module is used for calculating the total output power of the renewable energy;
the net load calculation module is used for calculating net loads according to the total output power of the renewable energy sources, the total power required by seawater desalination and the sea island load requirements;
the energy storage strategy execution module is used for controlling the energy storage battery and the pumped storage unit to execute an energy storage strategy when the net load is greater than or equal to 0;
and the discharge strategy execution module is used for controlling the energy storage battery and the pumped storage unit to execute a discharge strategy when the net load is less than 0.
Optionally, the total output power calculating module specifically includes:
the parameter acquisition submodule is used for acquiring the wind speed, the illumination intensity and the sea wave height;
the output power calculation submodule of the wind driven generator is used for calculating the output power of the wind driven generator according to the wind speed by using the following formula;
Figure BDA0003694735400000051
wherein, P wt The output power of the wind driven generator at the moment t; v. of ci The cut-in wind speed of the fan is obtained; v. of r The rated wind speed of the fan; v. of co The wind speed is cut off for the fan; p r Rated output power of the fan; v. of o(t) Is the wind speed at time t;
the output power calculation submodule of the solar cell is used for calculating the output power of the solar cell according to the illumination intensity by using the following formula;
Figure BDA0003694735400000061
in the formula, P pv The output power of the solar power generation system; m st The standard test condition of a solar power generation system manufacturer is that the specified illumination intensity is 1kW/m 2 Specifying the surface temperature T of the cell plate n At 25 ℃; p S Rated output power of the solar cell under standard test conditions; m c(t) The illumination intensity of the working place where the solar cell is located; t is s The ambient temperature of the working place where the solar cell is located; k is a power temperature coefficient;
the output power calculation module of the wave energy generator is used for calculating the output power of the wave energy generator according to the wave height by using the following formula;
Figure BDA0003694735400000062
wherein, P wa Is the output power of the wave energy generator; rho is the density of the seawater; g is the acceleration of gravity; h wa Is the height of the sea surface waves; t is wa The wave period of the sea surface; l is wa A width for the wave energy generator to receive waves;
and the first total output power calculation submodule is used for calculating the sum of the output power of the wind driven generator, the output power of the solar battery and the output power of the wave energy generator to serve as the total output power of the renewable energy source.
Optionally, the total output power calculating module specifically includes:
the objective function constructing submodule is used for constructing an objective function by taking the minimum operation and maintenance cost as a target, and comprises the following steps:
C ann ＝C wa +C wt +C pv +C de +C cn ；
wherein, C ann Representing an objective function, C wa The operation and maintenance cost of the wave energy generator set is reduced; c wt The operation and maintenance cost of the wind generating set is solved; c pv The operation and maintenance cost of the solar generator set is reduced; c de The maintenance cost of the dual-system communication equipment is reduced; c cn The operation and maintenance cost of the energy storage battery is reduced;
a constraint condition determination submodule for determining a constraint condition for the output power of each renewable energy source as:
Figure BDA0003694735400000063
wherein, P wa Is the output power of the wave energy generator;
Figure BDA0003694735400000064
rated power of the wave energy generator; p wt Is the output power of the wind driven generator;
Figure BDA0003694735400000065
the rated power of the wind driven generator; p pv Is the output power of the solar power system;
Figure BDA0003694735400000071
the rated power of the solar power generation system;
the objective function solving submodule is used for solving the objective function by adopting an improved particle swarm algorithm based on the constraint condition and determining the output power of each renewable energy source when the objective function is minimum;
and the second total output power calculation submodule is used for calculating the sum of the output power of each renewable energy source as the total output power of the renewable energy sources.
Optionally, the weight factor, the first learning factor, and the second learning factor of the improved particle swarm algorithm are:
Figure BDA0003694735400000072
where ω' is a weighting factor, ω min And ω max Minimum and maximum values of the weighting factor, ω, respectively min Take 0.3, omega max Take 0.9, t cur The number of current iterations; t is t max The total number of iterations; c. C 1f And c 2f Are respectively the first learning factor c 1 A second learning factor c 2 The end values of (a) and (b) are 0.55 and 2, respectively; c. C 1i And c 2i Are respectively a first learning factor c 1 A second learning factor c 2 2 and 0.55 respectively;
the speed updating formula of the improved particle swarm optimization is as follows:
Figure BDA0003694735400000073
wherein the content of the first and second substances,
Figure BDA0003694735400000074
individual optimality representing all particlesThe average of the values is determined by the average,
Figure BDA0003694735400000075
and
Figure BDA0003694735400000076
the speed of the particle i in the t +1 th iteration and the t th iteration respectively; r is 1 And r 2 Two random numbers between 0 and 1;
Figure BDA0003694735400000077
is the position of the particle i at the t +1 th iteration;
Figure BDA0003694735400000078
and the global optimal position of the particle swarm in the t-th iteration is obtained.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention discloses an off-grid sea island seawater desalination system driven by full renewable energy and a regulation and control method thereof, wherein the system comprises: the system comprises a regulation center, a prediction module, an energy storage module, a power generation module and a seawater desalination module; the power generation module comprises a wind generating set, a wave energy generating set and a solar generating set; the prediction module is respectively connected with the energy storage module, the power generation module, the seawater desalination module and the regulation and control center; the regulation center is connected with the energy storage module; the energy storage module comprises an energy storage battery and a pumped storage unit; the prediction module is used for calculating the total output power of the renewable energy sources; calculating net load according to the total output power of renewable energy sources, the total power required by seawater desalination and the island load requirement; the regulation and control center is used for controlling the energy storage battery and the pumped storage unit to execute an energy storage strategy when the net load is greater than or equal to 0; and when the net load is less than 0, controlling the energy storage battery and the pumped storage unit to execute a discharge strategy. The full utilization of various energy sources on the sea is realized.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive labor.
Fig. 1 is a flowchart of a method for regulating and controlling an off-grid sea water desalination system driven by a fully renewable energy source according to an embodiment of the present invention;
FIG. 2 is a flow chart of an improved particle swarm algorithm provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of typical daily loads in winter and summer of an island provided by an embodiment of the present invention;
FIG. 4 is a schematic diagram of a requirement for daily water on an island according to an embodiment of the present invention;
fig. 5 is a schematic diagram of the daily output of each unit of renewable energy provided by the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide an off-grid sea water desalination system driven by full renewable energy and a regulation and control method thereof, so as to realize the full utilization of renewable energy.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example 1
The embodiment 1 of the invention provides an off-grid sea water desalination system driven by full renewable energy, which comprises: the system comprises a regulation center, a prediction module, an energy storage module, a power generation module and a seawater desalination module;
the system control center, the prediction module, the energy storage module, the power generation module and the seawater desalination module are connected through two communication modes, namely wired communication and wireless communication. In consideration of the fact that the island is greatly influenced by severe weather such as typhoon and the like, a dispatching communication system is easily influenced by the weather, and communication interruption is caused. The dual system makes the communication system safer and more stable, and ensures the smooth operation of the seawater desalination process. And the respective modules are respectively connected with the regulation center, transmit the acquired respective operation data to the regulation center and regulate and control according to instruction signals sent by the regulation center. The wind generating set is used for converting wind energy into alternating current electric energy to provide power; the photovoltaic generator set is used for converting light energy into alternating current electric energy to provide electric power; the seawater desalination facility is used for desalinating seawater into fresh water through a seawater desalination unit so as to supply the fresh water requirement of the island; the conventional load of the island is used for consuming electric energy to bear the normal operation of daily life of the island; the energy storage device is used for consuming new energy electric energy according to a plan according to a received control signal of the control center, and providing the electric energy to each load under a proper condition; the database is used for receiving and storing various data required to be collected by each part in the system for the control center to call, and recording control signals sent by the control center. The wind generating set, the photovoltaic generating set and the seawater desalination facility comprise a plurality of seawater desalination units.
The energy storage module is used for storing energy and consists of a storage battery and a pumped storage respectively. The renewable energy power generation module is used for storing the residual load in the desalination process, so that the minimum stored electric energy can meet the electric energy requirement required by special conditions such as typhoon and the like in severe weather on the next day. If the storage battery is insufficient in electric quantity, the water energy storage mode is adopted to continue generating electricity. The fresh water supply and the power consumption demand of the island are ensured.
(1) Storage battery model
When the storage battery is discharged, the residual capacity at time t is as follows:
Figure BDA0003694735400000091
secondly, when the storage battery is charged, the residual capacity at the time t is as follows:
Figure BDA0003694735400000092
wherein S (t) is the residual capacity of the battery at time t; p SB (t) is the storage battery charging and discharging power at time t;
Figure BDA0003694735400000101
discharging efficiency for the battery;
Figure BDA0003694735400000102
charging efficiency for the storage battery; and sigma is the self-discharge ratio of the storage battery per unit time.
3) Constraint condition of energy storage battery
The state of life of an energy storage battery is related to its state of charge (SOC), which can be too low or too high, both reducing its useful life and its practical application capacity. Then the relationship is:
SOC min ≤SOC≤SOC max
in the formula, SOC min The minimum load state of the energy storage battery is generally 0.2-0.3; SOC max The value is generally 0.8-0.9 for the highest charge state of the energy storage battery.
-P max,charge ≤P be ≤P max,discharge
Figure BDA0003694735400000103
Figure BDA0003694735400000104
In the formula, P be The charging and discharging power of the energy storage battery; p max,charge The maximum charging power of the energy storage battery is obtained; p is max,discharge For maximum discharge power of the energy-storing accumulator, E c Is the rated capacity of the storage battery.
(2) Pumped storage model
The pumped storage model of the energy storage system is under two working conditions of power generation and energy storage.
The pumped storage power generation working conditions are as follows:
Figure BDA0003694735400000105
in the formula, E l The electricity consumption for pumping water; h y The average pumping head is the average pumping head; v S For regulating the water quantity;
Figure BDA0003694735400000106
the water pumping operation efficiency of the pump turbine.
Secondly, the pumped storage working condition is as follows:
Figure BDA0003694735400000107
in the formula, E f Is the generated energy; h v Is the average water head of power generation;
Figure BDA0003694735400000108
the power generation operation efficiency of the pump turbine is improved.
The primary total circulation efficiency of pumping and power generation of the pumped storage system is as follows:
Figure BDA0003694735400000111
in the general case of the above-mentioned,
Figure BDA0003694735400000112
wherein, the seawater desalination module adopts a reverse osmosis membrane method.
The total amount of the convertible fresh water of the seawater desalination unit in t hours is as follows:
W t(t) ＝W d ×N d(t)
if W t (t)≥Q water And (t) under the condition of meeting the fresh water demand of residents, injecting redundant fresh water resources into the reservoir for storage. On the contrary, if W t (t)<Q water (t), water is taken from the reservoir to ensure that the inhabitants have sufficient fresh water for daily life. In the formula, W t (t) represents the total amount of fresh water converted in t hours, W d Represents a seawater desalination unit to convert fresh water into N d (t) represents the number of units started in the process of seawater desalination, Q water (t) represents the amount of fresh water required on the day.
Total power P required by daily seawater desalination process a (t) (the total power required by the daily seawater desalination process is the load requirement of the island) is as follows:
P a (t)＝V d ×S d
in the formula, V d Volume of water demand per day, S d The power required by the desalination of unit volume water in the seawater desalination process.
After the total output power of the renewable energy is consumed by the seawater desalination load, a large part of electric energy remains, and the size of the electric energy is as follows:
P rest (t)＝P net (t)-P a (t)
wherein, P net (t) represents the total output power of the renewable energy source, P rest And (t) the residual power after the sea water desalination load is absorbed, and the sea island load requirements such as pirate illumination and the like are subtracted, so that the net load is obtained.
The part of electric energy is stored by the storage battery energy storage technology or the pumped storage.
The prediction module is respectively connected with the energy storage module, the power generation module, the seawater desalination module and the regulation and control center in a double communication mode; the dual communication mode includes power line carrier and wireless communication.
The dual communication is mainly power carrier communication and is assisted by wireless communication. The power carrier communication comprises a carrier server and a plurality of power carrier communication sub-nodes and relay nodes, the power carrier server can perform data interaction with the power carrier communication relay nodes, and the server arranges and sends data to a regulation and control center to complete rapid communication on the island. The wireless communication comprises an integrated 5G module, a network card driving chip is in communication connection with the 5G unit through a PCIE protocol interface, and the network card driving chip is connected with the Ethernet interface through a kilomega switching communication protocol interface. The wireless communication and power carrier communication sub-node and the relay node are interconnected through a communication line. And issuing a requirement for quickly changing the communication mode by a control center according to the connection state of the communication line, wherein the communication conversion device is a two-way in-phase driving controller, and the controller adopts a 74LS244 chip. Before the communication mode is switched, the control center issues an emergency instruction to start the energy storage module to supply power to the seawater desalination unit, so that the seawater desalination process is ensured to be smoothly carried out. And after the communication mode is successfully switched, the energy of the system is allocated again by the control center.
The specific functions of the regulation center and the prediction module in embodiment 1 of the present invention are realized in embodiment 2. The capacity configuration is exemplarily shown in table 1.
TABLE 1 System Components Capacity deployment diagrams
Figure BDA0003694735400000121
Example 2
As shown in fig. 1, embodiment 2 of the present invention provides a method for controlling an off-grid sea water desalination system driven by full renewable energy, where the method includes the following steps:
step 101, calculating the total output power of the renewable energy source.
As an embodiment that can be realized, but is not limited to this embodiment, the specific steps of calculating the total output power of the renewable energy source are:
1. wave (wave)The wave energy power generation model is characterized in that the generation of wave energy is mainly related to the height of waves and the period of the waves, and the wave energy generates power P wa The correlation model is:
Figure BDA0003694735400000131
in the formula, P wa Is the output power of the wave energy generator; rho is the density of the seawater; g is the acceleration of gravity; h wa Is the height of the sea surface wave; t is wa Is the sea surface wave period; l is wa The width of the waves received for the wave energy generator.
2. The actual output power of the solar cell of the solar power generation model is related to the irradiation intensity of the sunlight of the island, the temperature of the natural environment and the surface temperature of the photovoltaic cell, and the output function relation of the solar cell power generation is expressed as follows:
Figure BDA0003694735400000132
in the formula, P PV Is the output power of the solar cell; m is a group of st The standard test condition of a solar cell manufacturer is that the specified illumination intensity is 1kW/m 2 Specifying the surface temperature T of the cell plate n At 25 ℃; p S Rated output power of the solar cell under standard test conditions; m c(t) The irradiation intensity of the working place where the solar cell is located; t is s The ambient temperature of the working place where the solar cell is located; k is the power temperature coefficient.
Due to the existence of weather instability factors, the actual output power of the solar cell is smaller than the output power tested in the standard environment, so the actual output power of the solar power generation system is as follows:
Figure BDA0003694735400000133
in the formula, P S,PV For the actual output work of the solar power systemRate; f. of PV For the output efficiency of the solar power generation system: n is a radical of PV Is the number of cells in the solar power system.
3. The wind power generation model is characterized in that the relation between the output power of the wind turbine according to the power generation characteristics of the wind turbine can be represented by a piecewise function:
Figure BDA0003694735400000134
in the formula, P wt The output power of the wind driven generator at the moment t; v. of ci The cut-in wind speed of the fan is obtained; v. of r The rated wind speed of the fan; v. of co The wind speed is cut off for the fan; p r Rated output power of the fan; v. of o(t) Is the wind speed at time t;
the sum of the three output powers is calculated as the total output power.
As another possible implementation, but not limited to this implementation, the specific steps of calculating the total output power of the renewable energy source are:
the influence of the uncertainty of the output of renewable energy sources such as wind, light, wave and the like on the operation of a system is expressed by adopting an interval theory in an interval form, wherein the description forms of a photovoltaic active output interval, a fan active output interval and a wave active output interval are as follows:
Figure BDA0003694735400000141
Figure BDA0003694735400000142
Figure BDA0003694735400000143
wherein the superscript l denotes the lower limit of the output interval and the superscript u denotes the upper limit of the output interval, e.g.
Figure BDA0003694735400000144
Represents the lower limit of the photovoltaic active power output interval. In order to deal with the problem of insufficient output of renewable energy, the intermittent and fluctuating properties of the renewable energy are dealt with by calling the output of the pumped storage unit and the storage battery unit to carry out power interaction by combining historical operation data of the system with meteorological and electric power data. Uploading the data to a control center, and making a day-ahead optimal plan and a day-in optimal scheduling strategy.
Establishing a target function based on renewable energy, and mainly considering the operation and maintenance costs of a wave energy generator, a wind driven generator, a solar power generation system, an energy storage battery and dual-system communication equipment in the system. The system operation and maintenance cost is minimum as the target:
C ann ＝C wa +C wt +C pv +C de +C cn
in the formula, C wa The operation and maintenance cost of the wave energy generator set is reduced; c wt The operation and maintenance cost of the wind generating set is solved; c pv The operation and maintenance cost of the solar generator set is reduced; c de Maintenance cost for dual system communication equipment; c cn The operation and maintenance cost of the energy storage battery is reduced.
(1) The operation and maintenance cost of the wave energy generator is as follows:
Figure BDA0003694735400000145
in the formula, C wa The operation and maintenance cost of the wave energy generator set is reduced; n is a radical of wa The number of wave energy generators in the system is; c in-wa The maintenance cost of a single wave energy generator is reduced; c om-wa The operation cost of a single wave energy generator is low; and r is the discount rate.
C om-wa ＝C pr-wa P e-wa
In the formula, C pr-wa The maintenance cost of the unit power of the wave energy generator is saved; p e-wa The rated power of a single wave energy generator.
(2) The operation and maintenance cost of the wind driven generator is as follows:
Figure BDA0003694735400000151
in the formula, C wt The operation and maintenance cost of the wind driven generator is as follows: n is a radical of wt The number of wind driven generators in the system; c in-wt Maintenance cost for a single wind driven generator; c om-wt The running cost of a single wind driven generator of the system is saved; and r is the discount rate.
C om-wt ＝C pr-wt P e-wt
In the formula, C pr-wt Maintenance cost per unit power of the wind turbine; p e-wt The rated power of a single wind driven generator.
(3) The operation and maintenance cost of the solar power generation system is as follows:
Figure BDA0003694735400000152
in the formula, C pv The operation and maintenance cost of the solar generator set of the system is reduced; n is a radical of pv The number of the solar generators is; c in-pv Maintenance cost for a single solar generator; c om-pv Maintenance costs for a single solar power generation system; and r is the discount rate.
C om-pv ＝C pr-pv P e-pv
In the formula, C pr-pv The maintenance cost per unit power of the solar power generation system; p is e-pv Is the rated power of a single solar power generation system.
(4) Constraint condition of renewable energy output power
Figure BDA0003694735400000153
In the formula, P wa Is the output power of the wave energy generator;
Figure BDA0003694735400000161
rated power of the wave energy generator; p wt Is the output power of the wind driven generator;
Figure BDA0003694735400000162
the rated power of the wind driven generator; p pv The output power of the solar power generation system;
Figure BDA0003694735400000163
is the rated power of the solar power generation system.
In order to further verify the feasibility and the correctness of the proposed microgrid optimization configuration model, a particle swarm algorithm is adopted to optimize the island microgrid, and an analysis figure 2 is a flow chart of island microgrid configuration optimization based on the particle swarm algorithm. And performing optimization solution by adopting an improved particle swarm algorithm. The inertia weight factor and the learning factor of the conventional particle swarm algorithm are generally kept unchanged in the solving process, and the improvement is as follows:
Figure BDA0003694735400000164
in the formula, t cur Representing the number of current iterations; t is t max Represents the total number of iterations; c. C 1f 、c 2f Represents c 1 、c 2 The termination values of (a) and (b) are 0.55 and 2 respectively; c. C 1i c 2i Representing an initial value, and respectively taking 2 and 0.55; omega max Take 0.9, omega min Take 0.3.
And replacing the individual optimal value of each particle with the average value of the individual optimal values of all the particles, so that the worst individual optimal value in the particle swarm can be eliminated, and the local optimization of the particle swarm is avoided.
Figure BDA0003694735400000165
The improved expression is as follows:
Figure BDA0003694735400000166
wherein the content of the first and second substances,
Figure BDA0003694735400000167
represents the average of the individual optima of all particles,
Figure BDA0003694735400000168
and
Figure BDA0003694735400000169
the speed of the particle i in the t +1 th iteration and the t th iteration respectively; r is a radical of hydrogen 1 And r 2 Two random numbers between 0 and 1, which are used for maintaining the diversity of the population;
Figure BDA00036947354000001610
is the position of the particle i at the t +1 th iteration;
Figure BDA00036947354000001611
is the global optimal position of the particle population at the t-th iteration, i.e. the best position found so far for all particles in the whole population.
The improved algorithm has strong optimizing capability and is not easy to fall into local optimization. Through reasonable regulation and control of the two sides of the source load, fresh water and power supply on the island can be realized by the island of the power generation system using renewable energy sources such as wave energy and the like, and the environmental protection performance of the whole system is enhanced. Effectively reduces the cost investment of the system, is beneficial to the protection of the ecological environment of the island and reduces the environmental management cost.
The invention mainly takes the lowest equipment operation and maintenance cost as an objective function, and takes system power balance, system reliability and equipment operation self-constraint as constraint conditions, and utilizes a particle swarm algorithm to solve. The island microgrid of the power generation system containing renewable energy sources such as wave energy can effectively reduce the cost investment of the system and reduce the carbon emission of the island. Is beneficial to the protection of the ecological environment of the island and reduces the environmental management cost.
Step 102, calculating net load according to the total output power of renewable energy, the total power required by seawater desalination and the requirement of island load. The daily load and fresh water demand on the island are evaluated by figures 3 and 4. The remaining net load of the seawater desalination process is calculated, the net load is judged, data are transmitted to a regulation and control center through a dual-communication module, the regulation and control center sends an instruction to move an energy storage module to carry out energy charging and discharging actions, and the continuous fresh water and power utilization requirements of the island are guaranteed.
And 103, when the net load is greater than or equal to 0, controlling the energy storage battery and the water pumping energy storage unit to execute an energy storage strategy, namely controlling the energy storage battery to charge, determining the absorption power of the energy storage battery according to a charging power curve of the energy storage battery and the current charge state of the energy storage battery, and when the net load is greater than the absorption power of the energy storage battery, controlling the water pumping energy storage unit to store energy.
And 104, when the net load is smaller than 0, controlling the energy storage battery and the water pumping energy storage unit to execute a discharging strategy, namely controlling the energy storage battery to discharge, determining the discharging power of the energy storage battery according to a discharging power curve of the energy storage battery and the current charge state of the energy storage battery, and when the absolute value of the net load is larger than the discharging power of the energy storage battery, controlling the water pumping energy storage unit to generate power.
Example 3
An embodiment 3 of the present invention provides a regulation and control system of an off-grid island seawater desalination system driven by full renewable energy, wherein the system comprises:
and the total output power calculation module is used for calculating the total output power of the renewable energy sources.
And the net load calculation module is used for calculating net load according to the total output power of the renewable energy sources, the total power required by seawater desalination and the sea island load demand.
And the energy storage strategy execution module is used for controlling the energy storage battery and the pumped storage unit to execute the energy storage strategy when the net load is greater than or equal to 0.
And the discharge strategy execution module is used for controlling the energy storage battery and the pumped storage unit to execute a discharge strategy when the net load is less than 0.
As an implementation manner that can be implemented but is not limited to this implementation manner, the total output power calculating module specifically includes:
the parameter acquisition submodule is used for acquiring the wind speed, the illumination intensity and the sea wave height;
the output power calculation submodule of the wind driven generator is used for calculating the output power of the wind driven generator according to the wind speed by using the following formula;
Figure BDA0003694735400000181
wherein, P wt The output power of the wind driven generator at the moment t; v. of ci The cut-in wind speed of the fan is obtained; v. of r The rated wind speed of the fan; v. of co The wind speed is cut off for the fan; p r Rated output power of the fan; v. of o(t) Is the wind speed at time t;
the output power calculation submodule of the solar cell is used for calculating the output power of the solar cell according to the illumination intensity by using the following formula;
Figure BDA0003694735400000182
in the formula, P pv The output power of the solar power generation system; m st The standard test condition of a solar power generation system manufacturer is that the specified illumination intensity is 1kW/m 2 Specifying the surface temperature T of the cell plate n At 25 ℃; p S Rated output power of the solar cell under standard test conditions; m c(t) The illumination intensity of the working place where the solar cell is located; t is s The ambient temperature of the working place where the solar cell is located; k is a power temperature coefficient;
the output power calculation module of the wave energy generator is used for calculating the output power of the wave energy generator according to the wave height by using the following formula;
Figure BDA0003694735400000183
wherein, P wa Is the output power of the wave energy generator; rho is the density of the seawater; g is the acceleration of gravity; h wa Is the height of the sea surface waves; t is wa The wave period of the sea surface; l is wa A width for the wave energy generator to receive waves;
and the first total output power calculation submodule is used for calculating the sum of the output power of the wind driven generator, the output power of the solar battery and the output power of the wave energy generator to be used as the total output power of the renewable energy source.
As another implementation manner, but not limited to this implementation manner, the total output power calculating module specifically includes:
the objective function constructing submodule is used for constructing an objective function by taking the minimum operation and maintenance cost as a target, and comprises the following steps:
C ann ＝C wa +C wt +C pv +C de +C cn ；
wherein, C ann Representing an objective function, C wa The operation and maintenance cost of the wave energy generator set is reduced; c wt The operation and maintenance cost of the wind generating set is solved; c pv The operation and maintenance cost of the solar generator set is reduced; c de The maintenance cost of the dual-system communication equipment is reduced; c cn The operation and maintenance cost of the energy storage battery is reduced;
a constraint condition determination submodule for determining a constraint condition for the output power of each renewable energy source as follows:
Figure BDA0003694735400000191
wherein, P wa Is the output power of the wave energy generator;
Figure BDA0003694735400000192
rated power of the wave energy generator; p wt Is the output power of the wind driven generator;
Figure BDA0003694735400000193
the rated power of the wind driven generator; p pv The output power of the solar power generation system;
Figure BDA0003694735400000194
the rated power of the solar power generation system;
the objective function solving submodule is used for solving the objective function by adopting an improved particle swarm algorithm based on the constraint condition and determining the output power of each renewable energy source when the objective function is minimum;
and the second total output power calculation submodule is used for calculating the sum of the output power of each renewable energy source as the total output power of the renewable energy sources.
The improved particle swarm optimization comprises the following weight factors, a first learning factor and a second learning factor:
Figure BDA0003694735400000195
where ω' is a weighting factor, ω min And ω max Minimum and maximum values of the weighting factor, ω, respectively min Take 0.3, omega max Take 0.9, t cur The number of current iterations; t is t max The total number of iterations; c. C 1f And c 2f Are respectively the first learning factor c 1 A second learning factor c 2 The end values of (a) and (b) are 0.55 and 2, respectively; c. C 1i And c 2i Are respectively the first learning factor c 1 A second learning factor c 2 2 and 0.55 respectively;
the speed updating formula of the improved particle swarm optimization is as follows:
Figure BDA0003694735400000201
wherein the content of the first and second substances,
Figure BDA0003694735400000202
represents the average of the individual optima of all particles,
Figure BDA0003694735400000203
and
Figure BDA0003694735400000204
the speed of the particle i in the t +1 th iteration and the t th iteration respectively; r is 1 And r 2 Two random numbers between 0 and 1;
Figure BDA0003694735400000205
is the position of the particle i at the t +1 th iteration;
Figure BDA0003694735400000206
and the global optimal position of the particle swarm in the t-th iteration is obtained.
Fig. 5 is a schematic diagram of daily output of units in the island, and renewable energy output power is preferentially used for load power demand. When the power is excessive, the energy storage battery or the water pumping energy storage device of the energy storage module absorbs the excessive power; when power shortage occurs, the energy storage battery is discharged and supplemented preferentially, and the pumped storage device outputs power when the power shortage occurs. The seawater desalination system is used as a controllable load, has a remarkable effect on system power regulation, and increases a working unit of the seawater desalination system to absorb redundant power as much as possible under the condition that the output power of renewable energy is sufficient; when the output power of the renewable energy is lower, the working units of the seawater desalination system are reduced, and at the moment, the fresh water in the reservoir in the seawater desalination system is used as much as possible to meet the domestic water demand of the residents on the island. The sea water desalination system serving as a controllable load reduces the fluctuation of the output power of renewable energy sources to a certain extent, and makes an important contribution to the power supply reliability of the island micro-grid system.
According to the invention, each module of the system is regulated and controlled through the control center, abundant solar energy, wind energy and wave energy on the sea are fully utilized, and the excess electric energy is stored while the seawater desalination process is carried out. The total power required by the seawater desalination process is calculated according to the daily required fresh water amount, the prediction module can acquire operation data and meteorological data, an optimal day-ahead plan and an optimal day-in plan are formulated and transmitted to the control center, the control center controls the operation of each module to carry out coordination control, and an optimal regulation and control path of the seawater desalination process can be accurately given. The output power of renewable energy sources is modeled, the output of a new energy source unit of the system is scheduled by adopting an improved particle swarm algorithm, an optimal scheduling strategy is found, and the economy of the system is improved. The photovoltaic, wind power and tidal energy are used for supplying power to the seawater desalination process, the utilization rate of renewable energy sources can be improved, the use of fossil fuels is reduced, the emission of greenhouse gases is further reduced, and the sustainable development of the seawater desalination technology is realized.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principle and the embodiment of the present invention are explained by applying specific examples, and the above description of the embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (10)

1. An off-grid sea-island desalination system driven by fully renewable energy sources, the system comprising: the system comprises a regulation center, a prediction module, an energy storage module, a power generation module and a seawater desalination module;
the prediction module is respectively connected with the energy storage module, the power generation module, the seawater desalination module and the regulation and control center;
the regulation center is connected with the energy storage module; the energy storage module comprises an energy storage battery and a pumped storage unit;
the prediction module is used for calculating the total output power of the renewable energy sources; calculating net load according to the total output power of renewable energy sources, the total power required by seawater desalination and the island load requirement;
the control center is used for controlling the energy storage battery and the pumped storage unit to execute an energy storage strategy when the net load is greater than or equal to 0; and when the net load is less than 0, controlling the energy storage battery and the pumped storage unit to execute a discharge strategy.
2. The all-renewable energy driven off-grid island seawater desalination system of claim 1, wherein the power generation module comprises a wind power generator set, a wave power generator set and a solar power generator set.
3. The all-renewable energy driven off-grid island seawater desalination system of claim 1, wherein the prediction module is connected to the energy storage module, the power generation module, the seawater desalination module and the control center respectively, and the control center is connected to the energy storage module in a dual communication manner;
the dual communication mode includes power line carrier and wireless communication.
4. A regulation and control method of an off-grid sea island seawater desalination system driven by full renewable energy sources is characterized by comprising the following steps:
calculating the total output power of the renewable energy sources;
calculating net load according to the total output power of renewable energy sources, the total power required by seawater desalination and the island load requirement;
when the net load is greater than or equal to 0, controlling the energy storage battery and the pumped storage unit to execute an energy storage strategy;
and when the net load is less than 0, controlling the energy storage battery and the pumped storage unit to execute a discharge strategy.
5. The method for regulating and controlling the off-grid island seawater desalination system driven by the full renewable energy source according to claim 4, wherein the calculating the total output power of the renewable energy source specifically comprises:
acquiring wind speed, illumination intensity and sea wave height;
calculating the output power of the wind driven generator according to the wind speed by using the following formula;
Figure FDA0003694735390000021
wherein, P wt The output power of the wind driven generator at the moment t; v. of ci The cut-in wind speed of the fan is obtained; v. of r The rated wind speed of the fan; v. of co Cutting off the wind speed of the fan; p is r Rated output power of the fan; v. of o(t) Is the wind speed at time t;
calculating the output power of the solar cell according to the illumination intensity by using the following formula;
Figure FDA0003694735390000022
in the formula, P pv The output power of the solar power generation system; m st The standard test condition of a solar power generation system manufacturer is that the specified illumination intensity is 1kW/m 2 Specifying the surface temperature T of the cell plate n At 25 ℃; p is S Rated output power of the solar cell under standard test conditions; m c(t) The illumination intensity of the working place where the solar cell is located; t is a unit of s The ambient temperature of the working place where the solar cell is located; k is a power temperature coefficient;
calculating the output power of the wave energy generator by using the following formula according to the wave height;
Figure FDA0003694735390000023
wherein, P wa Is the output power of the wave energy generator; rho is the density of the seawater; g is weightA force acceleration; h wa Is the height of the sea surface waves; t is wa The wave period of the sea surface; l is wa A width for the wave energy generator to receive waves;
and calculating the sum of the output power of the wind driven generator, the output power of the solar battery and the output power of the wave energy generator as the total output power of the renewable energy sources.
6. The method for regulating and controlling the off-grid island seawater desalination system driven by the full renewable energy source according to claim 4, wherein the calculating the total output power of the renewable energy source specifically comprises:
the objective function is constructed by taking the minimum operation and maintenance cost as a target:
C ann ＝C wa +C wt +C pv +C de +C cn ；
wherein, C ann Representing an objective function, C wa The operation and maintenance cost of the wave energy generator set is reduced; c wt The operation and maintenance cost of the wind generating set is solved; c pv The operation and maintenance cost of the solar generator set is reduced; c de The maintenance cost of the dual-system communication equipment is reduced; c cn The operation and maintenance cost of the energy storage battery is reduced;
the constraints for determining the output power of each renewable energy source are:
Figure FDA0003694735390000031
wherein, P wa Is the output power of the wave energy generator;
Figure FDA0003694735390000032
rated power of the wave energy generator; p wt Is the output power of the wind driven generator;
Figure FDA0003694735390000033
the rated power of the wind driven generator; p pv For the output work of solar power systemsRate;
Figure FDA0003694735390000034
the rated power of the solar power generation system;
solving the objective function by adopting an improved particle swarm algorithm based on the constraint condition, and determining the output power of each renewable energy source when the objective function is minimum;
the sum of the output power of each renewable energy source is calculated as the total output power of the renewable energy sources.
7. The method of claim 6, wherein the weight factor, the first learning factor and the second learning factor of the improved particle swarm algorithm are:
Figure FDA0003694735390000035
where ω' is a weighting factor, ω min And ω max Minimum and maximum values of the weighting factor, ω, respectively min Take 0.3, omega max Take 0.9, t cur The number of current iterations; t is t max The total number of iterations; c. C 1f And c 2f Are respectively the first learning factor c 1 A second learning factor c 2 The end values of (a) and (b) are 0.55 and 2, respectively; c. C 1i And c 2i Are respectively the first learning factor c 1 A second learning factor c 2 2 and 0.55 respectively;
the speed updating formula of the improved particle swarm optimization is as follows:
Figure FDA0003694735390000041
wherein the content of the first and second substances,
Figure FDA0003694735390000042
represents the average of the individual optima of all particles,
Figure FDA0003694735390000043
and
Figure FDA0003694735390000044
the speed of the particle i in the t +1 th iteration and the t th iteration respectively; r is a radical of hydrogen 1 And r 2 Two random numbers between 0 and 1;
Figure FDA0003694735390000045
is the position of the particle i at the t +1 th iteration;
Figure FDA0003694735390000046
and the global optimal position of the particle swarm in the t-th iteration is obtained.
8. The regulation and control method of the off-grid island seawater desalination system driven by the full renewable energy source according to claim 4, wherein when the net load is greater than or equal to 0, the energy storage battery and the pumped storage unit are controlled to execute an energy storage strategy, and the method specifically comprises the following steps;
and controlling the energy storage battery to charge, determining the absorption power of the energy storage battery according to the charging power curve of the energy storage battery and the current charge state of the energy storage battery, and controlling the water pumping energy storage unit to store energy when the net load is greater than the absorption power of the energy storage battery.
9. The method for regulating and controlling the off-grid island seawater desalination system driven by the full renewable energy source according to claim 4, wherein when the net load is less than 0, the energy storage battery and the pumped storage unit are controlled to execute a discharge strategy, and the method specifically comprises the following steps;
and controlling the energy storage battery to discharge, determining the discharge power of the energy storage battery according to the discharge power curve of the energy storage battery and the current charge state of the energy storage battery, and controlling the water pumping energy storage unit to generate power when the absolute value of the net load is greater than the discharge power of the energy storage battery.
10. A regulation and control system for an off-grid sea-island desalination system driven by fully renewable energy, the system comprising:
the total output power calculation module is used for calculating the total output power of the renewable energy;
the net load calculation module is used for calculating net loads according to the total output power of the renewable energy sources, the total power required by seawater desalination and the sea island load requirements;
the energy storage strategy execution module is used for controlling the energy storage battery and the pumped storage unit to execute an energy storage strategy when the net load is greater than or equal to 0;
and the discharge strategy execution module is used for controlling the energy storage battery and the pumped storage unit to execute a discharge strategy when the net load is less than 0.
CN202210676233.8A 2022-06-15 2022-06-15 Off-grid sea island seawater desalination system driven by full renewable energy and regulation and control method thereof Pending CN114914918A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117474159A (en) * 2023-10-31 2024-01-30 南方电网电力科技股份有限公司 Wave energy power generation platform regulation and control method and device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117474159A (en) * 2023-10-31 2024-01-30 南方电网电力科技股份有限公司 Wave energy power generation platform regulation and control method and device

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