Sea island micro-grid scheduling method based on chaotic quantum bee algorithm

Abstract

The invention discloses an island micro-grid scheduling method based on a chaos quantum bee algorithm, and the method comprises the steps: building an island wind-light-oil-storage fusion optimization scheduling objective function of an island micro-grid; performing initialization setting on parameters of the chaos quantum bee algorithm; tent chaotic mapping is adopted to initialize reconnaissance bees; sorting the nectar sources according to the quality of the nectar sources searched by the investigation bees, and screening selected nectar sources; carrying out local search by the bees and updating the selected nectar source; carrying out local search by worker bees and updating the selected nectar source; the reconnaissance bees search new nectar sources by adopting Tent chaotic mapping; according to the quality of the nectar sources, the nectar sources searched by the investigation bees and the selected nectar sources are sorted together, and the selected nectar sources used for next iteration are screened out; and outputting a globally optimal solution and a fitness function value of the target function. The method has the advantages of being high in search efficiency, high in robustness and the like, and efficient solving of island micro-grid optimization scheduling parameters is achieved.

Description

Technical Field

[0001] The invention belongs to the technical field of microgrid operation, and specifically is an island microgrid dispatching method based on a chaotic quantum bee algorithm. Background Art

[0002] There are many islands in my country, and how to ensure the stable supply of electricity to island residents is an important issue that affects the quality of life and work of island residents. At present, the microgrid system that combines wind energy, solar energy, fuel generators, and energy storage equipment can solve the problems of resource shortage, high power generation costs, and unstable power supply in remote islands to a certain extent. However, the reliability and economy of the system must be taken into account during the operation of various types of power supply equipment, and the optimization scheduling and operation efficiency of island microgrids need to be further improved.

[0003] Currently, there are abundant technical solutions for optimizing dispatching of microgrids, but most of them are mainly aimed at land microgrid systems. There are fewer technical solutions for optimizing dispatching of special types of isolated island microgrids. Research on solutions to problems such as capacity configuration of isolated microgrids and matching of loads with dispatching strategies is still not in-depth. The efficiency of optimized dispatching is low, and there is a lack of overall optimized dispatching solutions for the integration of island wind, solar energy, oil and storage. Summary of the invention

[0004] In view of the above problems, the present invention is proposed to provide an island microgrid scheduling method based on a chaotic quantum bee algorithm to overcome the above problems or at least partially solve the above problems.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] A method for dispatching an island microgrid based on a chaotic quantum bee algorithm, the method comprising:

[0007] Establish the objective function of the optimized dispatch of wind-solar-oil-storage fusion for island microgrid;

[0008] Initialize the parameters of the chaotic quantum bee algorithm. The bee colony includes scout bees, harvesting bees and worker bees.

[0009] According to the upper and lower limits of the island microgrid's optimal dispatching parameters, the scout bee is initialized using Tent chaotic mapping.

[0010] The nectar sources are sorted according to the quality of the nectar sources found by the scout bees, and the selected nectar sources are selected;

[0011] Honey bees conduct local searches and update selected nectar sources;

[0012] Wait for the worker bees to conduct local searches and update the selected nectar sources;

[0013] Scout bees use Tent chaos mapping to search for new nectar sources;

[0014] According to the quality of the nectar sources, the nectar sources searched by the scout bees and the selected nectar sources are sorted together, the selected nectar sources for the next round of iteration are selected, and the selected selected nectar sources are recorded;

[0015] Output the global optimal solution of the objective function and its fitness function value.

[0016] Optionally, the expression of the objective function of the island wind-solar-oil-storage fusion optimization dispatch of the island microgrid is:

[0017]

[0018] Where, f represents the total cost of island microgrid operation; T represents the optimization period; C WT (t) represents the wind power operation cost of the island microgrid; C PV (t) represents the photovoltaic operation cost of the island microgrid; C FE (t) represents the operating cost of the fuel engine in the island microgrid; C BT (t) represents the battery operation cost of the island microgrid.

[0019] Optionally, the wind power operation cost of the island microgrid is calculated according to the following formula:

[0020]

[0021] In the formula, C WT (t) represents the wind power operation cost of the island microgrid; T represents the optimization period; α wt represents the unit cost of wind power generation; P WT represents wind power generation; Δt represents time variation;

[0022] The photovoltaic operation cost of the island microgrid is calculated according to the following formula:

[0023]

[0024] In the formula, C PV (t) represents the photovoltaic operation cost of the island microgrid; T represents the optimization period; α pv Represents the unit cost of photovoltaic power generation; P PV represents photovoltaic power generation; Δt represents the time change;

[0025] The operating cost of the fuel generator in the island microgrid is calculated according to the following formula:

[0026]

[0027] In the formula, C FE(t) represents the operating cost of the fuel engine in the island microgrid; T represents the optimization period; α fe represents the unit cost of fuel engine power generation; P FE Indicates the power generated by the fuel engine; Δt indicates the time change;

[0028] The operating cost of the battery in the island microgrid is calculated according to the following formula:

[0029]

[0030] In the formula, C BT (t) represents the battery operation cost of the island microgrid; T represents the optimization period; α bt Represents the unit cost of battery discharge; P BT Indicates the battery charging / discharging power; Δt indicates the time change.

[0031] Optional constraints for the island microgrid wind-solar-oil-storage integrated optimization scheduling include:

[0032] Power balance constraints:

[0033] P WT +P PV +P FE +P BT =P LD +P LS

[0034] Where P WT Represents wind power generation, P PV Represents photovoltaic power generation, P FE Indicates the power generated by the fuel engine, P BT Indicates the battery charge / discharge power, P LD is the island power load; P LS is the island microgrid loss;

[0035] Battery constraints:

[0036]

[0037] Where P BT Indicates the battery charge / discharge power; P out_max and P in_max They represent the maximum discharge power and maximum charge power of the battery respectively; SOC(t) represents the charge stored in the battery at time t; SOC max and SOC min They represent the upper and lower limits of the battery's storage charge.

[0038] Optionally, the parameters of the chaotic quantum bee algorithm include the number of bee colonies, algorithm stopping conditions, neighborhood contraction coefficients, and an upper limit on the number of stagnation times of the bee search.

[0039] Optional, the upper limit of the number of pauses in bee-collecting search. st It can be calculated according to the following formula:

[0040]

[0041] Where n c is the neighborhood shrinkage coefficient of the honey bee search.

[0042] Optionally, the steps of local search by honey bees are as follows:

[0043] S71, honey bees search for the vicinity of the selected nectar source;

[0044] S72. For each selected nectar source, the bees assigned to the selected nectar source use Tent chaotic mapping to search near the nectar source:

[0045]

[0046] In the formula, Represents the position information of the i-th bee collector in the d-dimensional space; and They represent the upper and lower limits of the d-dimensional space searched by the j-th selected nectar source neighborhood respectively;

[0047] Represents the newly generated Tent chaotic sequence, which is calculated according to the following formula:

[0048]

[0049] In the formula, represents the chaotic sequence generated last time; β represents a random number between [0, 1];

[0050] S73. If the honey bees find a nectar source with better quality, the better nectar source will be used to replace the current selected nectar source as the new selected nectar source, and the number of search stagnation times of the current selected nectar source will be reset, and the neighborhood range will be restored to the original size;

[0051] If the bees do not find a nectar source with better quality, the search stagnation counter of the selected nectar source is increased by 1, and the search neighborhood of the selected nectar source is shrunk according to the following formula:

[0052] S nh (n+1)=n c ·S nh (n)

[0053] Among them, Snh (n) is the current search range; S nh (n+1) is the search range for the next iteration; n c is the neighborhood shrinkage coefficient;

[0054] S74. Sort all selected nectar sources according to their quality.

[0055] Optionally, the steps for the worker bees to perform local search are as follows:

[0056] S81, assign worker bees to each selected nectar source according to the following formula:

[0057]

[0058] Where N j is the number of worker bees allocated to the jth selected nectar source; fitness j is the fitness function value of the jth selected nectar source; n0 represents the total number of bees waiting to work; K represents the number of selected nectar sources; fix represents rounding;

[0059] S82. The worker bee randomly selects a dimension from the selected nectar source where it is located, and performs a worker bee search update according to the following formula:

[0060]

[0061] in, and They represent the upper and lower limits of the d-dimensional space searched by the j-th selected honey source neighborhood; d represents a single dimension to be updated randomly selected, Represents the position of the worker bee to be updated this time; rnd represents a random number between [0, 1];

[0062] S83. If the worker bee searches for a nectar source with better quality, the better nectar source is used to replace the current selected nectar source as a new selected nectar source, and the number of search stagnation times of the current selected nectar source is reset, and the neighborhood range is restored to the original size;

[0063] If the worker bee fails to find a nectar source with better quality, the search stagnation counter of the selected nectar source increases by 1;

[0064] S84, determining whether the number of search stagnation times is greater than the upper limit of the number of stagnation times; if the number of stagnation times is greater than the upper limit of the number of stagnation times, the corresponding selected nectar source will be abandoned in the global search stage.

[0065] Optionally, the expression used by the scout bee to search using the Tent chaos map is:

[0066]

[0067] In the formula, represents the position information of the i-th scout bee in the d-dimensional space; ub d and lb d Respectively represent the upper and lower limits of the d-dimensional space; represents the sequence value of the i-th Tent chaotic mapping sequence in the d-dimensional space;

[0068] The expression is:

[0069]

[0070] In the formula, rnd represents a random number between [0, 1].

[0071] Optionally, scout bees account for 10% of the bee colony, and the number of honey bees and worker bees each account for 45% of the bee colony.

[0072] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0073] Aiming at the demand of island microgrid optimization scheduling, the present invention takes the economic efficiency of island microgrid system operation as the main goal, and constructs the island microgrid optimization scheduling objective function; in order to more efficiently search for island microgrid optimization scheduling parameters, the bee foraging algorithm is improved, and the tent chaotic mapping is introduced in the scout bee and bee search stage to update the bee position. The present invention has the characteristics of high search efficiency and strong robustness, and realizes the efficient solution of island microgrid optimization scheduling parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 It is a flow chart of an island microgrid scheduling method based on a chaotic quantum bee algorithm provided in an embodiment of the present application. DETAILED DESCRIPTION

[0075] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0076] See also Figure 1 This embodiment provides an island microgrid scheduling method based on a chaotic quantum bee algorithm, the method comprising:

[0077] S1. Establish the objective function of optimizing the dispatch of wind-solar-oil-storage fusion for island microgrid.

[0078] The expression of the objective function of the island wind-solar-oil-storage integrated optimization dispatch of the island microgrid is:

[0079]

[0080] Where, f represents the total cost of island microgrid operation; T represents the optimization period; C WT (t) represents the wind power operation cost of the island microgrid; C PV (t) represents the photovoltaic operation cost of the island microgrid; C FE (t) represents the operating cost of the fuel engine in the island microgrid; C BT (t) represents the battery operation cost of the island microgrid.

[0081] The operating cost of wind power in island microgrid is calculated according to the following formula:

[0082]

[0083] In the formula, C WT (t) represents the wind power operation cost of the island microgrid; T represents the optimization period; α wt represents the unit cost of wind power generation; P WT represents wind power generation; Δt represents time change.

[0084] The photovoltaic operation cost of the island microgrid is calculated according to the following formula:

[0085]

[0086] In the formula, C PV (t) represents the photovoltaic operation cost of the island microgrid; T represents the optimization period; α pv Represents the unit cost of photovoltaic power generation; P PV represents photovoltaic power generation; Δt represents the time change.

[0087] The operating cost of the fuel generator in the island microgrid is calculated according to the following formula:

[0088]

[0089] In the formula, C FE (t) represents the operating cost of the fuel engine in the island microgrid; T represents the optimization period; α fe represents the unit cost of fuel engine power generation; P FE represents the power generated by the fuel engine; Δt represents the time change.

[0090] The operating cost of the battery in the island microgrid is calculated according to the following formula:

[0091]

[0092] In the formula, C BT (t) represents the battery operation cost of the island microgrid; T represents the optimization period; α bt Represents the unit cost of battery discharge; P BT Indicates the battery charging / discharging power; Δt indicates the time change.

[0093] The constraints for the optimal dispatch of wind-solar-oil-storage fusion in island microgrids include:

[0094] Power balance constraints:

[0095] P WT +P PV +P FE +P BT =P LD +P LS

[0096] Where P WT Represents wind power generation, P PV Represents photovoltaic power generation, P FE Indicates the power generated by the fuel engine, P BT Indicates the battery charge / discharge power, P LD is the island power load; P LS is the island microgrid loss.

[0097] Battery constraints:

[0098]

[0099] Where P BT Indicates the battery charge / discharge power; P out_max and P in_max They represent the maximum discharge power and maximum charge power of the battery respectively; SOC(t) represents the charge stored in the battery at time t; SOC max and SOC min They represent the upper and lower limits of the battery's storage charge.

[0100] S2. Initialize and set the parameters of the chaotic quantum bee algorithm. The bee colony includes scout bees, honey bees and worker bees. The scout bees account for 10% of the bee colony, and the number of honey bees and worker bees each accounts for 45% of the bee colony.

[0101] The parameters of the chaotic quantum bee algorithm include the number of bee colonies, algorithm stopping conditions, neighborhood contraction coefficients, and an upper limit on the number of stagnation times of the bee search.

[0102] Limit of the number of pauses in bee search st It can be calculated according to the following formula:

[0103]

[0104] Where n c is the neighborhood shrinkage coefficient of the honey bee search.

[0105] S3. According to the upper and lower limits of the optimized dispatching parameters of the island microgrid, the scout bee is initialized using Tent chaotic mapping.

[0106] S4. Sort the nectar sources according to the quality of the nectar sources found by the scout bees, and select the selected nectar sources.

[0107] S5. Honey bees conduct local searches and update selected nectar sources.

[0108] The steps for bees to perform local search are as follows:

[0109] S51. Honey bees search for the vicinity of selected nectar sources.

[0110] S52. For each selected nectar source, the bees assigned to the selected nectar source use Tent chaotic mapping to search near the nectar source:

[0111]

[0112] In the formula, Represents the position information of the i-th bee collector in the d-dimensional space; and They respectively represent the upper and lower limits of the d-dimensional space searched by the j-th selected nectar source neighborhood.

[0113] Represents the newly generated Tent chaotic sequence, which is calculated according to the following formula:

[0114]

[0115] In the formula, represents the chaotic sequence generated last time; β represents a random number between [0, 1];

[0116] S53. If the honey bees search for a nectar source with better quality, the better nectar source will replace the current selected nectar source as a new selected nectar source, and the number of search stagnation times of the current selected nectar source will be reset, and the neighborhood range will be restored to its original size.

[0117] If the bees do not find a nectar source with better quality, the search stagnation counter of the selected nectar source is increased by 1, and the search neighborhood of the selected nectar source is shrunk according to the following formula:

[0118] S nh (n+1)=n c ·S nh (n)

[0119] Among them, S nh (n) is the current search range; S nh (n+1) is the search range for the next iteration; n c is the neighborhood shrinkage coefficient.

[0120] S54. Sort all selected nectar sources according to their quality.

[0121] S6: Wait for the worker bees to conduct local search and update the selected nectar sources.

[0122] The steps for worker bees to perform local search are as follows:

[0123] S61, allocating worker bees to each selected nectar source according to the following formula:

[0124]

[0125] Where N j is the number of worker bees allocated to the jth selected nectar source; fitness j is the fitness function value of the jth selected nectar source; n0 represents the total number of worker bees; K represents the number of selected nectar sources; fix represents rounding.

[0126] S62. The worker bee randomly selects a dimension from the selected nectar source where it is located, and performs a worker bee search update according to the following formula:

[0127]

[0128] in, and They represent the upper and lower limits of the d-dimensional space searched by the j-th selected honey source neighborhood; d represents a single dimension to be updated randomly selected, Represents the position of the worker bee to be updated this time; rnd represents a random number between [0, 1].

[0129] Sδ3. If the worker bee searches for a nectar source with better quality, the better nectar source will replace the current selected nectar source as the new selected nectar source, and the number of search stagnation times of the current selected nectar source will be reset, and the neighborhood range will be restored to its original size.

[0130] If the worker bee fails to find a nectar source with better quality, the search stagnation counter of the selected nectar source is increased by 1.

[0131] S64, determining whether the number of search stagnation times is greater than the upper limit of the number of stagnation times; if the number of stagnation times is greater than the upper limit of the number of stagnation times, the corresponding selected nectar source will be abandoned in the global search stage.

[0132] S7. Scout bees use Tent chaos mapping to search for new nectar sources.

[0133] The expression of the search by the scout bee using the Tent chaos map is:

[0134]

[0135] In the formula, represents the position information of the i-th scout bee in the d-dimensional space; ub d and lb d Respectively represent the upper and lower limits of the d-dimensional space; Represents the sequence value of the i-th Tent chaotic map sequence in the d-dimensional space.

[0136] The expression is:

[0137]

[0138] In the formula, rnd represents a random number between [0, 1].

[0139] S8. According to the quality of the nectar sources, the nectar sources searched by the scout bees and the selected nectar sources are sorted together, the selected nectar sources for the next round of iteration are screened out, and the screened selected nectar sources are recorded.

[0140] S9. Output the global optimal solution of the objective function and its fitness function value.

[0141] This embodiment aims at the demand of island microgrid optimization scheduling, takes the economic efficiency of island microgrid system operation as the main goal, and constructs the island microgrid optimization scheduling objective function; in order to more efficiently search for island microgrid optimization scheduling parameters, the bee foraging algorithm is improved, and the tent chaotic mapping is introduced in the scout bee and bee search stage to update the bee position. The present invention has the characteristics of high search efficiency and strong robustness, and realizes the efficient solution of island microgrid optimization scheduling parameters.

[0142] The above contents are further detailed descriptions of the present invention in combination with specific preferred embodiments, and it cannot be determined that the specific implementation of the present invention is limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, several simple deductions or substitutions can be made without departing from the concept of the present invention, which should be regarded as falling within the protection scope of the present invention.

Claims

1. A method for dispatching island microgrid based on chaotic quantum bee algorithm, characterized in that: The method comprises: Establish the objective function of the optimized dispatch of wind-solar-oil-storage fusion for island microgrid; Initialize the parameters of the chaotic quantum bee algorithm. The bee colony includes scout bees, harvesting bees and worker bees. According to the upper and lower limits of the island microgrid's optimal dispatching parameters, the scout bee is initialized using Tent chaotic mapping. The nectar sources are sorted according to the quality of the nectar sources found by the scout bees, and the selected nectar sources are selected; Honey bees conduct local searches and update selected nectar sources; Wait for the worker bees to conduct local searches and update the selected nectar sources; Scout bees use Tent chaos mapping to search for new nectar sources; According to the quality of the nectar sources, the nectar sources searched by the scout bees and the selected nectar sources are sorted together, the selected nectar sources for the next round of iteration are selected, and the selected selected nectar sources are recorded; Output the global optimal solution of the objective function and its fitness function value.

2. The island microgrid dispatching method based on the chaotic quantum bee algorithm as claimed in claim 1, characterized in that: The expression of the objective function of the island wind-solar-oil-storage integrated optimization dispatch of the island microgrid is: Where, f represents the total cost of island microgrid operation; T represents the optimization period; C WT (t) represents the wind power operation cost of the island microgrid; C PV (t) represents the photovoltaic operation cost of the island microgrid; C FE (t) represents the operating cost of the fuel engine in the island microgrid; C BT (t) represents the battery operation cost of the island microgrid.

3. The island microgrid dispatching method based on the chaotic quantum bee algorithm as claimed in claim 2 is characterized in that: The operating cost of wind power in island microgrid is calculated according to the following formula: In the formula, C WT (t) represents the wind power operation cost of the island microgrid; T represents the optimization period; α wt represents the unit cost of wind power generation; P WT represents wind power generation; Δt represents time variation; The photovoltaic operation cost of the island microgrid is calculated according to the following formula: In the formula, C PV (t) represents the photovoltaic operation cost of the island microgrid; T represents the optimization period; α pv Represents the unit cost of photovoltaic power generation; P PV represents photovoltaic power generation; Δt represents the time change; The operating cost of the fuel generator in the island microgrid is calculated according to the following formula: In the formula, C FE (t) represents the operating cost of the fuel engine in the island microgrid; T represents the optimization period; α fe represents the unit cost of fuel engine power generation; P FE represents the power generated by the fuel engine; Δt represents the time change; The operating cost of the battery in the island microgrid is calculated according to the following formula: In the formula, C BT (t) represents the battery operation cost of the island microgrid; T represents the optimization period; α bt Represents the unit cost of battery discharge; P BT Indicates the battery charging / discharging power; Δt indicates the time change.

4. The island microgrid dispatching method based on the chaotic quantum bee algorithm as claimed in claim 1, characterized in that: The constraints for the optimal dispatch of wind-solar-oil-storage fusion in island microgrids include: Power balance constraints: P WT +P PV +P FE +P BT =P LD +P LS Where P WT Represents wind power generation, P PV Represents photovoltaic power generation, P FE Indicates the power generated by the fuel engine, P BT Indicates the battery charge / discharge power, P LD is the island power load; P LS is the island microgrid loss; Battery constraints: Where P BT Indicates the battery charge / discharge power; P out_max and P in_max They represent the maximum discharge power and maximum charge power of the battery respectively; SOC(t) represents the charge stored in the battery at time t; SOC max and SOC min They represent the upper and lower limits of the battery's storage charge.

5. The island microgrid dispatching method based on the chaotic quantum bee algorithm as claimed in claim 1, characterized in that: The parameters of the chaotic quantum bee algorithm include the number of bee colonies, algorithm stopping conditions, neighborhood contraction coefficients, and an upper limit on the number of stagnation times of the bee search.

6. The island microgrid dispatching method based on the chaotic quantum bee algorithm as claimed in claim 5, characterized in that: Limit of the number of pauses in bee search st It can be calculated according to the following formula: Where n c is the neighborhood shrinkage coefficient of the honey bee search.

7. The island microgrid dispatching method based on the chaotic quantum bee algorithm as claimed in claim 1, characterized in that: The steps for bees to perform local search are as follows: S71, honey bees search for the vicinity of the selected nectar source; S72. For each selected nectar source, the bees assigned to the selected nectar source use Tent chaotic mapping to search near the nectar source: In the formula, Represents the position information of the i-th bee collector in the d-dimensional space; and They represent the upper and lower limits of the d-dimensional space searched by the j-th selected nectar source neighborhood respectively; Represents the newly generated Tent chaotic sequence, which is calculated according to the following formula: In the formula, represents the chaotic sequence generated last time; β represents a random number between [0,1]; S73. If the honey bees find a nectar source with better quality, the better nectar source will be used to replace the current selected nectar source as the new selected nectar source, and the number of search stagnation times of the current selected nectar source will be reset, and the neighborhood range will be restored to the original size; If the bees do not find a nectar source with better quality, the search stagnation counter of the selected nectar source is increased by 1, and the search neighborhood of the selected nectar source is shrunk according to the following formula: S nh (n+1)=n c ·S nh (n) Among them, S nh (n) is the current search range; S nh (n+1) is the search range for the next iteration; n c is the neighborhood shrinkage coefficient; S74. Sort all selected nectar sources according to their quality.

8. The island microgrid dispatching method based on the chaotic quantum bee algorithm as claimed in claim 1, characterized in that: The steps for worker bees to perform local search are as follows: S81, assign worker bees to each selected nectar source according to the following formula: Where N j is the number of worker bees allocated to the jth selected nectar source; fitness j is the fitness function value of the jth selected nectar source; n0 represents the total number of bees waiting to work; K represents the number of selected nectar sources; fix represents rounding; S82. The worker bee randomly selects a dimension from the selected nectar source where it is located, and performs a worker bee search update according to the following formula: in, and They represent the upper and lower limits of the d-dimensional space searched by the j-th selected honey source neighborhood; d represents a single dimension to be updated randomly selected, Represents the position of the worker bee to be updated this time; rnd represents a random number between [0,1]; S83. If the worker bee searches for a nectar source with better quality, the better nectar source is used to replace the current selected nectar source as a new selected nectar source, and the number of search stagnation times of the current selected nectar source is reset, and the neighborhood range is restored to the original size; If the worker bee fails to find a nectar source with better quality, the search stagnation counter of the selected nectar source increases by 1; S84, determining whether the number of search stagnation times is greater than the upper limit of the number of stagnation times; if the number of stagnation times is greater than the upper limit of the number of stagnation times, the corresponding selected nectar source will be abandoned in the global search stage.

9. The island microgrid dispatching method based on the chaotic quantum bee algorithm as claimed in claim 1, characterized in that: The expression of the search by the scout bee using the Tent chaos map is: In the formula, represents the position information of the i-th scout bee in the d-dimensional space; ub d and lb d Respectively represent the upper and lower limits of the d-dimensional space; represents the sequence value of the i-th Tent chaotic mapping sequence in the d-dimensional space; The expression is: In the formula, rnd represents a random number between [0,1].

10. The island microgrid dispatching method based on the chaotic quantum bee algorithm as claimed in claim 1, characterized in that: Scout bees make up 10% of the bee colony, while harvesting bees and worker bees each make up 45% of the colony.

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