CN-121984096-A - Country micro-grid group coordination control method and system

CN121984096ACN 121984096 ACN121984096 ACN 121984096ACN-121984096-A

Abstract

The application discloses a coordinated control method and a coordinated control system for a rural micro-grid group, which relate to the technical field of micro-grid cooperative control, wherein the method comprises the steps of dividing a rural area into an island area, a migration area and a stable area according to residence distribution and distribution fluctuation; the method comprises the steps of taking minimum running cost as an optimization target, combining island type regional load data, migration type regional load data and stable regional load data to respectively construct a corresponding single micro-grid model, taking the single micro-grid model as a game participant, building a multi-micro-grid cooperative game framework according to the minimum alliance total running cost based on island stability strategies and migration dynamic strategies, and outputting micro-grid coordination control strategies by using real-time rural regional load data and the multi-micro-grid cooperative game framework. The micro-grid power supply system has the beneficial effects that the stable power supply requirement of the island type region and the regulation and control strategy of dynamic power supply requirement change of the migration type region are simultaneously met, and the stability and the dynamic adaptability of the micro-grid group coordination control are considered.

Inventors

ZHANG WENMING
Huang Chendu
GU CHUNYUN
LI JI
HE YUNA
JIN KAI
LI DENG
HAN FEI
XIONG XIAODONG
HE QIANGFENG

Assignees

国网浙江省电力有限公司金华供电公司
国网浙江省电力有限公司浦江县供电公司

Dates

Publication Date: 20260505
Application Date: 20260407

Claims (10)

1. The rural micro-grid group coordination control method is characterized by comprising the following steps of: Dividing the rural area into an island type area, a migration type area and a stable type area according to residence distribution and distribution fluctuation; Taking the minimum running cost as an optimization target, and respectively constructing corresponding single micro-grid models by combining island type regional load data, migration type regional load data and stable type regional load data; Taking a single micro-grid model as a game participant, and establishing a multi-micro-grid cooperative game framework based on an island stabilization strategy and a migration dynamic strategy according to the minimum alliance total operation cost; Outputting the micro-grid coordination control strategy by using the real-time rural area load data and the multi-micro-grid cooperative game framework.
2. The rural micro grid group coordination control method according to claim 1, wherein: the dividing the rural area into island-type areas, migration-type areas and stable-type areas according to residence distribution and distribution fluctuation comprises the following steps: Acquiring living position points, and carrying out cluster analysis on the living position points according to the coordinate similarity based on a cluster analysis algorithm to acquire living dividing areas; acquiring the residence density of each residence partition area and historical average residence density fluctuation; If the residence density of the residence dividing region is smaller than a preset residence density threshold value, taking the residence dividing region as an island region; If the residence density of the residence dividing region is greater than or equal to a preset residence density threshold value and the historical average residence density fluctuation is greater than or equal to a preset density fluctuation threshold value, the residence dividing region is used as a migration region; And if the living density of the living dividing area is larger than or equal to a preset living density threshold value and the historical average living density fluctuation is smaller than the preset density fluctuation threshold value, taking the living dividing area as a stable area.
3. The rural micro grid group coordination control method according to claim 1, wherein: The method for respectively constructing the corresponding single micro-grid model by taking the minimum running cost as an optimization target and combining island type regional load data, migration type regional load data and stable type regional load data comprises the following steps of: Calculating operation cost according to daily investment cost, operation maintenance cost, environmental punishment cost, fuel cost and electricity purchasing and selling benefits; Acquiring micro-grid parameters and historical load data corresponding to an island type region, a migration type region and a stable type region; And training according to the minimum running cost by taking the micro-grid parameters and the historical load data as the input of the basic model, and acquiring a first single micro-grid model corresponding to the island type region, a second single micro-grid model corresponding to the migration type region and a third single micro-grid model corresponding to the stable type region.
4. The rural micro grid group coordination control method according to claim 1, wherein: The establishing the multi-micro-grid cooperative game framework by taking the single-micro-grid model as a game participant and based on an island stabilization strategy and a migration dynamic strategy according to the minimum alliance total operation cost comprises the following steps: constructing an island stabilization strategy by using a multi-micro-grid cooperative game result to meet the minimum micro-grid power supply requirement of an island area; Acquiring a micro-grid predicted access time sequence and a predicted cut-out time sequence of the migration type region based on the predicted load fluctuation time sequence of the migration type region, and calculating the dynamic migration cost of the migration type region according to the micro-grid predicted access time sequence and the predicted cut-out time sequence so as to construct a migration dynamic strategy; Calculating the total running cost of the alliance according to the sum of the running costs of all the single micro-grids in the alliance and combining the dynamic migration cost in the dynamic migration strategy; The method comprises the steps of taking a single micro-grid model as a game participant of the multi-micro-grid cooperative game framework, taking the minimum alliance total operation cost as a characteristic function of the multi-micro-grid cooperative game framework, and taking an island stabilization strategy as a game constraint of the multi-micro-grid cooperative game framework.
5. The rural micro grid group coordination control method according to claim 4, wherein: The method for obtaining the micro-grid predictive access time sequence and the predictive cut-out time sequence of the migration type region based on the predictive load fluctuation time sequence of the migration type region comprises the following steps: acquiring historical load data of a migration type area, constructing a load fluctuation curve, and acquiring mutation points of the load fluctuation curve and predicted load fluctuation time sequences corresponding to the mutation points; If the load before the mutation point is larger than the load after the mutation point, taking the predicted load fluctuation time sequence corresponding to the mutation point as a micro-grid predicted access time sequence; If the load before the mutation point is smaller than the load after the mutation point, the predicted load fluctuation time sequence corresponding to the mutation point is used as a predicted cutting time sequence.
6. The rural micro grid group coordination control method according to claim 4, wherein: the calculating the dynamic migration cost of the migration type region according to the micro-grid predicted access time sequence and the predicted cut-out time sequence comprises the following steps: Calculating the access migration cost of the migration type area according to the equipment migration cost, the line construction cost and the access process equipment loss cost corresponding to the micro-grid predicted access time sequence; calculating the cut-out migration cost of the migration type region according to the equipment migration cost, the line dismantling cost and the cut-out process shutdown loss cost corresponding to the cut-out time sequence of the micro-grid prediction; And acquiring the dynamic migration cost according to the access migration cost and the cut-out migration cost.
7. The rural micro grid group coordination control method according to claim 4, wherein: the method for establishing the multi-micro-grid cooperative game framework based on the island stabilization strategy and the migration dynamic strategy by taking the single-micro-grid model as a game participant according to the minimum alliance total operation cost further comprises the following steps: Based on a Shapley value method, quantitatively allocating the total running cost of the alliance according to the marginal contribution of the game participants to the alliance, and constructing a cost allocation rule; Based on the micro-grid predictive access time sequence and predictive cut-out time sequence in the migration dynamic strategy, constructing a dynamic networking rule; and taking the cost allocation rule and the dynamic networking rule as alliance operation rules in the multi-micro-grid cooperative game framework.
8. The rural micro grid group coordination control method according to claim 1, wherein: The method for outputting the micro-grid coordination control strategy by using the real-time rural area load data and the multi-micro-grid cooperative game framework comprises the following steps: And taking the real-time rural area load data as input of the multi-micro-grid cooperative game framework, and calling an optimal solver to solve the alliance optimal operation scheme as output of the micro-grid coordination control strategy.
9. The rural micro grid group coordination control method according to claim 4, wherein: after outputting the microgrid coordinated control strategy, performing: And acquiring expected regulation and control results based on the micro-grid coordination control strategy, acquiring real-time running state feedback information of each regional micro-grid, counting running cost of the corresponding micro-grid according to the real-time running state feedback information and deviation values of the expected regulation and control results, and updating the multi-micro-grid cooperative game framework.
10. A rural micro grid group coordination control system for implementing the method according to any one of claims 1 to 9, comprising: the regional division unit is used for dividing the rural areas into island-type areas, migration-type areas and stable-type areas according to residence distribution and distribution fluctuation; the model construction unit is used for respectively constructing corresponding single micro-grid models by taking the minimum running cost as an optimization target and combining island type regional load data, migration type regional load data and stable type regional load data; the game construction unit is used for establishing a multi-micro-grid cooperative game framework based on an island stabilization strategy and a migration dynamic strategy by taking a single micro-grid model as a game participant according to the minimum alliance total operation cost; And the regulation and control unit is used for outputting the micro-grid coordination control strategy by using the real-time rural area load data and the multi-micro-grid cooperative game framework.

Description

Country micro-grid group coordination control method and system Technical Field The application relates to the technical field of micro-grid cooperative control, in particular to a rural micro-grid group cooperative control method and system. Background The micro-grid is used as a core carrier for absorbing distributed energy, improving the reliability of rural power supply and breaking the weak problem of the rural power grid, and is increasingly widely applied to rural areas. Compared with urban areas, rural areas have the inherent characteristics of uneven resident residence distribution, obvious load fluctuation characteristic difference, partial areas far away from a main network and the like, so that the cooperative operation of multiple micro-grids becomes a key technical path for guaranteeing the stable supply of rural power and improving the energy utilization efficiency. However, due to the characteristics of scattered living and flexible change of living patterns of residents in the village, the regulation and control of the micro-grid by utilizing the whole load data in the related technology can lead to unreasonable power resource allocation, such as idle waste of power equipment in partial areas, frequent occurrence of problems of insufficient power supply, unstable voltage and the like in partial remote areas, low resource utilization efficiency, obvious power load difference in different areas of the village, large fluctuation range influenced by agricultural production and living habits of residents, high running energy consumption and running cost of the micro-grid due to the adoption of unified standardized micro-grid allocation and running mode, and low coordination control stability and dynamic adaptability of the micro-grid group in the village due to the fact that the power consumption of the micro-grid is increased and the power consumption of the micro-grid cannot be adapted to the rural differentiated power demand. Disclosure of Invention Aiming at the technical problem of lower stability and dynamic adaptability of the coordinated control of the rural micro-grid group in the related technology, the application provides a method and a system for coordinated control of the rural micro-grid group, which divide rural areas into different types according to residence distribution and distribution fluctuation, build a single micro-grid model according to regional type difference, build a multi-micro-grid cooperative game framework comprising stability and dynamic games by utilizing island stability strategies and migration dynamic strategies, and meet the regulation and control strategies of stable power supply requirements of island areas and dynamic power supply requirement changes of migration areas simultaneously by outputting the multi-micro-grid cooperative game framework, thereby giving consideration to the coordinated control stability and the dynamic adaptability of the micro-grid group. The technical scheme includes that a rural micro-grid group coordination control method includes the steps of dividing an island type area, a migration type area and a stable type area of a rural area according to residence distribution and distribution fluctuation, respectively constructing a corresponding single micro-grid model by combining island type area load data, migration type area load data and stable type area load data with minimum operation cost as an optimization target, constructing a multi-micro-grid cooperative game framework according to minimum alliance total operation cost by taking the single micro-grid model as a game participant based on island stability strategies and migration dynamic strategies, and outputting the micro-grid coordination control strategy by taking real-time rural area load data and the multi-micro-grid cooperative game framework. The method comprises the steps of dividing a rural area into an island type area, a migration type area and a stable type area according to living distribution and distribution fluctuation, wherein the method comprises the steps of obtaining living position points, carrying out clustering analysis on the living position points according to coordinate similarity based on a clustering analysis algorithm to obtain living dividing areas, obtaining living density and historical average living density fluctuation of each living dividing area, taking the living dividing area as the island type area if the living density of the living dividing area is smaller than a preset living density threshold value, taking the living dividing area as the migration type area if the living density of the living dividing area is larger than or equal to the preset living density threshold value and the historical average living density fluctuation is larger than or equal to the preset living density fluctuation threshold value, and taking the living dividing area as the stable type area if the living density of the living dividing area is larger than