Dynamic time-sharing pricing method for high-energy-consumption enterprise in power insurance supply period

Abstract

The invention relates to a dynamic time-sharing pricing method for a high-energy-consumption enterprise in a power supply guarantee period, and the method comprises the steps: carrying out the statistical mining of the load data of the high-energy-consumption enterprise through a power grid side, carrying out the investigation and analysis of a client side, and obtaining the actual operation condition of the enterprise according to the marginal cost and benefit theory; therefore, a regulation and control cost calculation model based on a real-time operation condition and regulation and control output under the active cooperative power supply guarantee of the high-energy-consumption enterprise is established, then the high-energy-consumption enterprise is guided to carry out power quotation and clearing based on real cost benefits, and finally, the price is adopted as a decision variable to realize the power supply guarantee. The method comprises the steps that firstly, a high-energy-consumption enterprise collaborative security constraint economic dispatching marginal electricity price clearing model is established, then, a high-energy-consumption enterprise day-ahead dynamic time-sharing pricing model is established according to the clearing model, finally, based on the dynamic time-sharing pricing model, a branch and bound method is adopted, high-energy-consumption enterprise electric power feature distribution data is input, and therefore time-sharing electricity price calculation is carried out; the method has the advantages of being good in using effect, reasonable and efficient.

Description

Technical Field

[0001] The present invention belongs to the technical field of power supply security, and specifically relates to a dynamic time-sharing pricing method for high-energy-consuming enterprises during the power supply security period. Background Art

[0002] For a long time, in terms of power supply security, although a lot of technical research and application have been carried out on both the power supply side and the power grid side, with the continuous growth of power load and the continuous improvement of the penetration rate of new energy, the regional power grid has gradually shown new characteristics such as dual uncertainty of source and load, difficulty in balancing supply and demand in different periods, and increased peak-valley difference. The power supply and demand has gradually shifted from overall balance to overall tension, facing the overall situation of "tight balance of the whole network, local gaps, and difficult supply security". If extreme weather or external electricity is not as expected, the power supply gap will further increase, and the power supply security faces multiple challenges; especially for industrial county power grids dominated by high-energy-consuming enterprises, the problems of source-load periodic supply and demand balance and power supply security are more prominent, and the load resources are urgently needed to participate in coordinated operation; at present, in terms of load-side resource participation in coordinated operation, a lot of research and application on demand response, orderly power consumption, interruptible load, etc. have been carried out, but the load-side resources still have the problems of great difficulty in implementation and low user enthusiasm, and the seasonal power supply gap phenomenon is becoming more prominent; therefore, it is necessary to develop a dynamic time-sharing pricing method for high-energy-consuming enterprises during the power supply security period with good use effect and reasonable and efficient. Summary of the invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art and to provide a dynamic time-sharing pricing method for high-energy-consuming enterprises during the power supply guarantee period which is effective, reasonable and efficient.

[0004] The object of the present invention is achieved by: a dynamic time-sharing pricing method for high-energy-consuming enterprises during the power supply guarantee period, the method comprising the following steps: Step 1: Conduct grid-side data mining and customer-side research and analysis of high-energy-consuming enterprise loads. Utilize grid-side data mining to understand the flexibility of high-energy-consuming enterprise loads to electricity consumption periods under different day types. Utilize customer-side research and analysis to understand the sensitivity of high-energy-consuming enterprise loads to electricity prices under different day types and electricity consumption periods. Step 2: Based on the data and survey and analysis results in step 1, combined with the actual electricity consumption conditions of the enterprise, a method combining mechanism analysis and real-time data is used to construct a calculation model for the upper and lower limits of the regulation capacity of high-energy-consuming industry enterprises to actively coordinate power supply. Then, according to the regulation response model composed of the adjustable equipment within the high-energy-consuming enterprise, in the real-time operation stage within the day, combined with the real-time operating conditions of the equipment, a calculation model for the regulation rate of high-energy-consuming enterprises to actively coordinate power supply is constructed; then, according to the actual production and operation conditions of the customer side of high-energy-consuming industry enterprises, the cost-effectiveness characteristics of high-energy-consuming enterprises actively coordinating power supply are investigated and mined and analyzed, and according to the marginal cost and benefit theory, a regulation cost calculation model based on real-time operating conditions and regulation output under the active coordination of power supply of high-energy-consuming enterprises is established; Step 3: Based on the cost-effectiveness of high-energy-consuming enterprises, by regulating the cost calculation model, guide high-energy-consuming enterprises to bid and clear electricity based on the real cost-effectiveness. Finally, use price as the decision variable to build a safety-constrained economic dispatch marginal electricity price clearing model for high-energy-consuming enterprises to collaborate. Step 4: Based on the security-constrained economic dispatch marginal electricity price clearing model and the incentive-compatible mechanism, a day-ahead dynamic time-of-use pricing model for high-energy-consuming enterprises is established; Step 5: Obtain the power settlement time zone and multiple preset unit settlement time periods of the high-energy-consuming enterprise, and construct a power data collection table based on the power settlement time zone and multiple preset unit settlement time periods, and then collect power data of the high-energy-consuming enterprise based on the power data collection table, so as to obtain power characteristic distribution data of the high-energy-consuming enterprise; Step 6: Based on the day-ahead dynamic time-of-use pricing model for high-energy-consuming enterprises in step 4, the branch and bound method is used to input the power characteristic distribution data of high-energy-consuming enterprises obtained in step 5 into the dynamic time-of-use pricing model to calculate the time-of-use electricity price for high-energy-consuming enterprises.

[0005] Furthermore, the step 1 quantifies and grades the power supply quality requirements of high-energy-consuming enterprises based on customer-side research and analysis, and establishes an electricity revenue model corresponding to each power supply quality level.

[0006] Furthermore, in step 1, based on the grid-side data mining and customer-side research and analysis of high-energy-consuming enterprises, a time-of-day load-to-time electricity price mapping model for high-energy-consuming enterprise loads can be constructed.

[0007] Beneficial effects of the present invention: The present invention adopts the technology of dynamic time-of-use pricing to solve the mismatch between the peak and valley periods of time-of-use electricity prices and the peak and valley periods of high-energy-consuming enterprises, correctly guide high-energy-consuming enterprises to optimize peak and valley electricity consumption, and dynamically adapt to the problem of power supply security under the dual uncertainty of source and load; by accurately analyzing potential power supply security risks, dynamic pricing of the load of high-energy-consuming enterprises during the power supply security period is realized, thereby guiding enterprises to stagger power consumption, reduce peak load demand, ensure safe and efficient power supply of the power grid, full absorption of distributed new energy, and safe and efficient power consumption of industrial loads; at the same time, by actively coordinating with high-energy-consuming enterprises on power supply security prices, high-energy-consuming enterprises can be guided to actively adjust their loads, thereby improving the power supply security capacity of the power grid and the level of safe and reliable power supply in all aspects; in general, the present invention has the advantages of good use effect and reasonable and efficient. DETAILED DESCRIPTION

[0008] The present invention is further described below.

[0009] Embodiment: A method for dynamic time-sharing pricing of high energy-consuming enterprises during the power supply guarantee period, the method comprising the following steps: Step 1: Conduct grid-side data mining and customer-side research and analysis of high-energy-consuming enterprise loads. Utilize grid-side data mining to understand the flexibility of high-energy-consuming enterprise loads to electricity consumption periods under different day types. Utilize customer-side research and analysis to understand the sensitivity of high-energy-consuming enterprise loads to electricity prices under different day types and electricity consumption periods. Step 2: Based on the data and survey and analysis results in step 1, combined with the actual electricity consumption conditions of the enterprise, a method combining mechanism analysis and real-time data is used to construct a calculation model for the upper and lower limits of the regulation capacity of high-energy-consuming industry enterprises to actively coordinate power supply. Then, according to the regulation response model composed of the adjustable equipment within the high-energy-consuming enterprise, in the real-time operation stage within the day, combined with the real-time operating conditions of the equipment, a calculation model for the regulation rate of high-energy-consuming enterprises to actively coordinate power supply is constructed; then, according to the actual production and operation conditions of the customer side of high-energy-consuming industry enterprises, the cost-effectiveness characteristics of high-energy-consuming enterprises actively coordinating power supply are investigated and mined and analyzed, and according to the marginal cost and benefit theory, a regulation cost calculation model based on real-time operating conditions and regulation output under the active coordination of power supply of high-energy-consuming enterprises is established; Step 3: Based on the cost-effectiveness of high-energy-consuming enterprises, by regulating the cost calculation model, guide high-energy-consuming enterprises to bid and clear electricity based on the real cost-effectiveness. Finally, use price as the decision variable to build a safety-constrained economic dispatch marginal electricity price clearing model for high-energy-consuming enterprises to collaborate. Step 4: Based on the security-constrained economic dispatch marginal electricity price clearing model and the incentive-compatible mechanism, a day-ahead dynamic time-of-use pricing model for high-energy-consuming enterprises is established; Step 5: Obtain the power settlement time zone and multiple preset unit settlement time periods of the high-energy-consuming enterprise, and construct a power data collection table based on the power settlement time zone and multiple preset unit settlement time periods, and then collect power data of the high-energy-consuming enterprise based on the power data collection table, so as to obtain power characteristic distribution data of the high-energy-consuming enterprise; Step 6: Based on the day-ahead dynamic time-of-use pricing model for high-energy-consuming enterprises in step 4, the branch and bound method is used to input the power characteristic distribution data of high-energy-consuming enterprises obtained in step 5 into the dynamic time-of-use pricing model to calculate the time-of-use electricity price for high-energy-consuming enterprises.

[0010] The step 1 quantitatively grades the power supply quality requirements of high-energy-consuming enterprises based on customer-side survey and analysis, and establishes an electricity revenue model corresponding to each power supply quality level. At the same time, based on the grid-side data mining and customer-side survey and analysis of high-energy-consuming enterprises in step 1, a time-of-day load-time-of-use electricity price mapping model for high-energy-consuming enterprise loads can be constructed.

[0011] In specific operation, the present invention firstly conducts statistical mining of load data of high-energy-consuming enterprises on the power grid side, conducts investigation and analysis on the customer side, and combines the actual operation of high-energy-consuming enterprises, based on marginal cost and benefit theory, so as to establish a control cost calculation model based on real-time operating conditions and control output under the active coordination of power supply of high-energy-consuming enterprises. Then, based on the cost-effectiveness of high-energy-consuming enterprises, through the control cost calculation model, guide high-energy-consuming enterprises to quote and clear electricity based on real cost-effectiveness. Finally, adopt price as decision variable to construct a safety-constrained economic dispatch marginal electricity price clearing model for high-energy-consuming enterprises. Then, according to the safety-constrained economic dispatch marginal electricity price clearing model and based on incentive compatibility mechanism, a day-ahead dynamic time-of-use pricing model for high-energy-consuming enterprises is established. Finally, based on the day-ahead dynamic time-of-use pricing model for high-energy-consuming enterprises, the branch and bound method is adopted to obtain the high-energy-consuming enterprises by The power characteristic distribution data is input to calculate the time-of-use electricity price for high-energy-consuming enterprises; the present invention adopts the technology of dynamic time-of-use pricing to achieve the mismatch between the peak and valley periods of time-of-use electricity prices and the peak and valley periods of high-energy-consuming enterprises, correctly guide high-energy-consuming enterprises to optimize peak and valley electricity consumption, and dynamically adapt to the problem of power supply security under the dual uncertainty of source and load; and, by accurately analyzing the potential risks of power supply security, the dynamic pricing of the load of high-energy-consuming enterprises during the power supply security period is realized, thereby guiding enterprises to stagger power consumption, reduce peak load demand, ensure safe and efficient power supply of the power grid, full absorption of distributed new energy and safe and efficient power consumption of industrial loads, and at the same time, by actively coordinating the power supply security price with high-energy-consuming enterprises, it can guide high-energy-consuming enterprises to actively adjust their loads, thereby improving the power supply security capacity of the power grid and the level of safe and reliable power supply in many aspects; in general, the present invention has the advantages of good use effect and reasonable and efficient.

[0012] The above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, a person skilled in the art should understand that the specific implementation modes of the present invention can still be modified or replaced by equivalents, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A dynamic time-sharing pricing method for high energy-consuming enterprises during the power supply guarantee period, characterized by: The method comprises the following steps: Step 1: Conduct grid-side data mining and customer-side research and analysis of high-energy-consuming enterprise loads. Utilize grid-side data mining to understand the flexibility of high-energy-consuming enterprise loads to electricity consumption periods under different day types. Utilize customer-side research and analysis to understand the sensitivity of high-energy-consuming enterprise loads to electricity prices under different day types and electricity consumption periods. Step 2: Based on the data and survey and analysis results in step 1, combined with the actual electricity consumption conditions of the enterprise, a method combining mechanism analysis and real-time data is used to construct a calculation model for the upper and lower limits of the regulation capacity of high-energy-consuming industry enterprises to actively coordinate power supply. Then, according to the regulation response model composed of the adjustable equipment within the high-energy-consuming enterprise, in the real-time operation stage within the day, combined with the real-time operating conditions of the equipment, a calculation model for the regulation rate of high-energy-consuming enterprises to actively coordinate power supply is constructed; then, according to the actual production and operation conditions of the customer side of high-energy-consuming industry enterprises, the cost-effectiveness characteristics of high-energy-consuming enterprises actively coordinating power supply are investigated and mined and analyzed, and according to the marginal cost and benefit theory, a regulation cost calculation model based on real-time operating conditions and regulation output under the active coordination of power supply of high-energy-consuming enterprises is established; Step 3: Based on the cost-effectiveness of high-energy-consuming enterprises, by regulating the cost calculation model, guide high-energy-consuming enterprises to bid and clear electricity based on the real cost-effectiveness. Finally, use price as the decision variable to build a safety-constrained economic dispatch marginal electricity price clearing model for high-energy-consuming enterprises to collaborate. Step 4: Based on the security-constrained economic dispatch marginal electricity price clearing model and the incentive-compatible mechanism, a day-ahead dynamic time-of-use pricing model for high-energy-consuming enterprises is established; Step 5: Obtain the power settlement time zone and multiple preset unit settlement time periods of the high-energy-consuming enterprise, and construct a power data collection table based on the power settlement time zone and multiple preset unit settlement time periods, and then collect power data of the high-energy-consuming enterprise based on the power data collection table, so as to obtain power characteristic distribution data of the high-energy-consuming enterprise; Step 6: Based on the day-ahead dynamic time-of-use pricing model for high-energy-consuming enterprises in step 4, the branch and bound method is used to input the power characteristic distribution data of high-energy-consuming enterprises obtained in step 5 into the dynamic time-of-use pricing model to calculate the time-of-use electricity price for high-energy-consuming enterprises.

2. A dynamic time-sharing pricing method for high energy-consuming enterprises during the power supply guarantee period as claimed in claim 1, characterized in that: The step 1 is based on customer-side research and analysis to quantify and grade the power supply quality requirements of high-energy-consuming enterprises, and establish an electricity revenue model corresponding to each power supply quality level.

3. A dynamic time-sharing pricing method for high energy-consuming enterprises during the power supply guarantee period as claimed in claim 1, characterized in that: In step 1, based on the grid-side data mining and customer-side research and analysis of high-energy-consuming enterprises, a mapping model of the time-of-day load-time-of-use electricity price of high-energy-consuming enterprise loads can be constructed.