CN114638403A - Power distribution network optimization planning method for differentiated reliability requirements - Google Patents
Power distribution network optimization planning method for differentiated reliability requirements Download PDFInfo
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Abstract
The invention provides a power distribution network optimization planning method for differentiated reliability requirements, which comprises the steps of firstly, acquiring power consumption data of a user module through a user data acquisition module, and transmitting the acquired user data to a user data classification module; the user data classification module sends the classification result to the processor, the processor transmits the classification result to the planning module, the power utilization planning is carried out on users with different power utilization demands, the calculation module calculates annual power utilization cost, and a profit preset value is preset in the processor; if the income preset value is not reached, the planning module reformulates the power utilization plans of the customers with different demand quantities, and the calculation module calculates the planned annual power utilization cost again; and if the yield preset value is reached, the processor transmits the planning result to the management module to complete the optimization of the power distribution network. The invention can make different plans according to the power consumption requirements of different users.
Description
Technical Field
The invention belongs to the technical field of power distribution network optimization planning methods, and particularly relates to a power distribution network optimization planning method for differentiated reliability requirements.
Background
At present, the China power industry gradually tends to be marketized, and different terminal users can provide electric energy quality and reliability requirements suitable for the terminal users to power supply enterprises according to the actual requirements of the terminal users on the electric energy quality, so that the safety and the reliability of the power utilization of the terminal users are guaranteed. Along with the rapid development of distributed energy, energy storage equipment and a plurality of controllable loads, the construction mode and the operation mode of the power distribution network are more flexible and diversified, and the capacity of meeting the power supply reliability differentiation requirements of different areas and different types of terminal users is continuously improved. The distribution network based on the differentiated reliability requirements of the terminal users can improve the flexibility and reliability of power supply on the whole, optimize distribution in a power resource network, promote multi-source complementation, improve the utilization rate of distributed power supplies, and simultaneously can make differentiated electricity prices according to the user requirements, optimize investment cost and realize the maximization of economic benefits on the premise of meeting the differentiated reliability requirements of the users.
The distribution network based on the differentiated reliability requirements of the terminal users is different from the traditional distribution network, after a distributed power supply and energy storage equipment are connected, the controllable load is managed, the supporting effect of resources such as source, load and storage on the reliability of the distribution network can be effectively improved, the distribution network can be used as a small system to independently operate, and the distribution network can also be connected with an external large power grid in a grid mode. The operation process can be managed and controlled by self, and meanwhile, the anti-interference capability of the power grid to the outside is effectively improved. However, the distribution network based on the differentiated reliability requirements of the terminal users has different reliability indexes which need to be considered when aiming at different types of users in actual operation, which increases the difficulty of planning and optimizing.
Therefore, the power distribution network optimization planning method for the differentiated reliability requirements is provided, and different plans are formulated according to the power utilization requirements of different users.
Disclosure of Invention
In order to solve the technical problems, the invention provides a power distribution network optimization planning method for differentiated reliability requirements, which comprises a user module, a user data acquisition module, a user data classification module, a processor, a planning module, a calculation module and a management module, and the power distribution network optimization planning method comprises the following steps:
step 1: firstly, acquiring power consumption data of a user module through a user data acquisition module, transmitting the acquired user data to a user data classification module, and classifying the acquired user data by the user data classification module according to the power consumption demand of a user;
step 2: the user data classification module sends the classification result to the processor, the processor transmits the classification result to the planning module, the planning module plans the electricity consumption of users with different electricity consumption demands, the calculation module calculates the annual electricity consumption cost according to the planning result and transmits the calculation result to the processor, and a profit preset value is preset in the processor;
and step 3: if the income preset value is not reached, the planning module reformulates the power utilization plans of the customers with different demand quantities, and the calculation module calculates the planned annual power utilization cost again; and if the yield preset value is reached, the processor transmits the planning result to the management module to complete the optimization of the power distribution network.
Preferably, the user module is connected with the user data acquisition module, the user data acquisition module is connected with the user data classification module, the user data classification module is connected with the processor, the processor is respectively connected with the planning module and the calculation module, the planning module is connected with the calculation module, and the processor is further connected with the management module.
Preferably, the user module includes a plurality of user terminals therein.
Preferably, the user data acquisition module is used for acquiring power consumption, power consumption nodes, power consumption paths and power consumption load data of each user side in the user module.
Preferably, the user data classification module classifies the users into three categories, namely large power consumption demand, medium power consumption demand and small power consumption demand according to the data collected by the user data collection module.
Preferably, the planning module comprises a large demand planning unit, a medium demand planning unit and a small demand planning unit, and plans different power utilization nodes, power utilization paths and photovoltaic installation capacity for different planning units on the basis of minimum investment.
Preferably, annual power supply income is obtained in the computing module according to annual power consumption investment cost and annual power supply income, wherein the power consumption investment cost comprises but is not limited to photovoltaic investment cost, annual maintenance cost and operation cost; the annual power supply income includes, but is not limited to, annual power fee income and net fee income.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, through the cooperation among the user module, the user data acquisition module, the user data classification module, the processor, the planning module, the calculation module and the management module, planning is carried out according to the power consumption demand of the user, and the power consumption nodes, the power consumption paths and the photovoltaic installation capacity are re-planned, so that the benefits are maximized while the power consumption demands of different users are met, and the economic benefits are improved.
Drawings
FIG. 1 is a schematic diagram of the process steps of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings:
example (b):
the utility model provides a distribution network optimization planning method for differentiation reliability demand, includes user module, user data acquisition module, user data classification module, treater, planning module, calculation module, management module, the user module is inside to include a plurality of clients, user module and user data acquisition module are connected, user data acquisition module and user data classification module are connected, user data classification module and treater are connected, the treater is connected with planning module and calculation module respectively, planning module and calculation module are connected, the treater still is connected with management module.
As shown in fig. 1, the power distribution network optimization planning method includes the following steps:
(1) firstly, acquiring power consumption, power utilization nodes, power utilization paths and power utilization load data of each user side in a user module through a user data acquisition module, transmitting the acquired power consumption, power utilization nodes, power utilization paths and power utilization load data of each user side to a user data classification module, classifying the acquired user data according to the power utilization demand of the user by the user data classification module, and classifying the user into three categories of large power utilization demand, medium power utilization demand and small power utilization demand;
(2) the user data classification module sends the classification result to the processor, the processor transmits the classification result to the planning module, the planning module comprises a planning unit with large demand, a planning unit with medium demand and a planning unit with small demand, different power utilization nodes, power utilization paths and photovoltaic installation capacity are planned for different planning units on the basis of minimum investment, and according to the planning result, annual power utilization income is obtained according to annual power utilization investment cost and annual power supply income in the calculation module, wherein the power utilization investment cost comprises but is not limited to photovoltaic investment cost, annual maintenance cost and operation cost; annual power supply income comprises but is not limited to annual power charge income and net charge income, and a calculation result is transmitted to a processor, wherein a profit preset value is preset in the processor;
(3) if the income preset value is not reached, the planning module reformulates the power utilization plan of the client with different demand quantities, and the calculation module recalculates the planned annual power utilization cost; and if the yield preset value is reached, the processor transmits the planning result to the management module to complete the optimization of the power distribution network.
The technical solutions of the present invention or similar technical solutions designed by those skilled in the art based on the teachings of the technical solutions of the present invention are all within the scope of the present invention.
Claims (7)
1. The power distribution network optimization planning method for the differentiation reliability requirements is characterized by comprising a user module, a user data acquisition module, a user data classification module, a processor, a planning module, a calculation module and a management module, and the power distribution network optimization planning method comprises the following steps:
step 1: firstly, acquiring power consumption data of a user module through a user data acquisition module, transmitting the acquired user data to a user data classification module, and classifying the acquired user data by the user data classification module according to the power consumption demand of a user;
step 2: the user data classification module sends the classification result to the processor, the processor transmits the classification result to the planning module, the planning module plans the electricity consumption of users with different electricity consumption demands, the calculation module calculates the annual electricity consumption cost according to the planning result and transmits the calculation result to the processor, and a profit preset value is preset in the processor;
and step 3: if the income preset value is not reached, the planning module reformulates the power utilization plans of the customers with different demand quantities, and the calculation module calculates the planned annual power utilization cost again; and if the yield preset value is reached, the processor transmits the planning result to the management module to complete the optimization of the power distribution network.
2. The method according to claim 1, wherein the user module is connected to a user data collection module, the user data collection module is connected to a user data classification module, the user data classification module is connected to a processor, the processor is respectively connected to a planning module and a calculation module, the planning module is connected to the calculation module, and the processor is further connected to a management module.
3. The method of claim 1, wherein the user module comprises a plurality of user terminals.
4. The method according to claim 1, wherein the user data collection module is configured to collect data of power consumption, power consumption nodes, power consumption paths, and power consumption loads of each user terminal in the user module.
5. The power distribution network optimization planning method for the differentiation of reliability requirements according to claim 1, wherein the user data classification module classifies users into three categories, i.e., large power demand, medium power demand, and small power demand, according to the data collected by the user data collection module.
6. The power distribution network optimization planning method for differentiated reliability requirements according to claim 1, wherein the planning module comprises a large demand planning unit, a medium demand planning unit and a small demand planning unit, and different power utilization nodes, power utilization paths and photovoltaic installation capacity are planned for different planning units on the basis of minimum investment.
7. The method according to claim 1, wherein the calculation module obtains annual power supply income according to annual power consumption investment cost and annual power supply income, wherein the power consumption investment cost includes but is not limited to photovoltaic investment cost, annual maintenance cost and operation cost; the annual power supply income includes, but is not limited to, annual electric power charge income and net charge income.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210177058.8A CN114638403A (en) | 2022-02-25 | 2022-02-25 | Power distribution network optimization planning method for differentiated reliability requirements |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210177058.8A CN114638403A (en) | 2022-02-25 | 2022-02-25 | Power distribution network optimization planning method for differentiated reliability requirements |
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| CN114638403A true CN114638403A (en) | 2022-06-17 |
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| CN202210177058.8A Pending CN114638403A (en) | 2022-02-25 | 2022-02-25 | Power distribution network optimization planning method for differentiated reliability requirements |
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- 2022-02-25 CN CN202210177058.8A patent/CN114638403A/en active Pending
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