CN-121998466-A - Annual peak and deep adjustment capability computing system and method for power system in power spot market

CN121998466ACN 121998466 ACN121998466 ACN 121998466ACN-121998466-A

Abstract

The invention relates to a system and a method for calculating annual peak and deep regulation capability of a power system in a power spot market, which realize unified assessment of regulation capability of a power generation side and a power utilization side through a supply and demand integrated architecture of data input, quotation modeling, market clearing, capacity authentication and result output, and accurately reflect actual operation characteristics of the power system based on refined analysis of 8760 hours all the year round. And a scientific basis is provided for the optimal allocation of the power resources by combining models such as fuel, abrasion, environmental cost and the like. And the double-side cooperative regulation and evaluation of the source load are realized, the peak clipping and valley filling capacity of the electricity utilization side is taken into consideration of the flexibility of the system, and the new energy consumption capacity and the safety of the power grid are improved.

Inventors

Yin Xujia
HAO LIHUA
ZHANG YIFENG
YAN JUN
ZHANG SHIFENG
DU MING
DING ZHAOHAO
XU SIYUAN
YANG LINGRUI
TIAN HONGXUN
ZHOU CE
ZOU PENG
LEI DA
WANG HAOLIN
SHU JUAN
WANG XUEFENG
GAO YIBIN

Assignees

国网山西省电力公司电力科学研究院
华北电力大学

Dates

Publication Date: 20260508
Application Date: 20251202

Claims (9)

1. The system for calculating the annual peak and deep regulating capacity of the power system in the power spot market is characterized by comprising a login authentication module, a data input module, a quotation modeling module, a market clearing module, a capacity authentication module and a data input and output module, wherein the login authentication module, the data input module, the quotation modeling module, the market clearing module, the capacity authentication module and the data input and output module are sequentially connected, The login authentication module is used for authenticating the identity of the user; The data input module is used for inputting unit parameters, electricity side parameters, power grid parameters and market rules, The quotation modeling module comprises a power generation measuring module and a load side, wherein the power generation measuring module generates a monotonically non-decreasing subsection quotation curve based on the typical quadratic function cost of the unit and the market price limit; The market clearing module calculates the marginal electricity price of the node, the composition of each unit, the line blockage condition, the electricity limiting and electricity shortage quantity of each unit and records the time period set that the marginal electricity price of each node reaches the upper/lower limit price according to the maximum social benefit as a target, the adjustable demand and the rigid load of the power generation side and the coupling factors of the line limit and the energy storage charge and discharge in multiple time periods according to the demand; The capacity authentication module takes the maximum value of the winning power as peak capacity in an upper limit period set at the power generation side, takes the maximum downward regulating power as deep regulating capacity in a lower limit period set by taking 50% rated power as a reference, and takes the daily income not lower than the judgment qualification of daily cost; the data output module is used for aggregating the power generation peak capacity and the deep regulating capacity which pass through qualification and the power consumption peak clipping capacity and the valley filling capacity to form the total peak capacity and the total deep regulating capacity of the system.
2. The annual peak and deep tone capability computing system of a power system in a power spot market according to claim 1, wherein said set parameters include rated output, minimum output, steady burning threshold, oil delivery threshold, fuel cost, wear cost, environmental cost, hill climbing constraints, and start-stop constraints, power side parameters include non-adjustable power, peak shift window, peak shift efficiency, and response rate, grid parameters include power flow transfer factors and line limits, and market rules include upper and lower limits, number of price segments of quotes, and minimum volume of traffic.
3. A method of calculating the annual peak and deep tone capability calculation system of an electrical power system in an electrical power spot market according to any one of claims 1 to 2, comprising the steps of: step 1, a data input module inputs data to a quotation modeling module, and the quotation modeling module constructs the cost and quotation model of a power generation side coal motor unit; step 2, a quotation modeling module builds a user cost and quotation model of the electricity side; Step 3, the market clearing module performs annual optimization clearing according to the model constructed in the step 1 and the step 2; Step 4, the capacity authentication module calculates the peak value and the deep capacity adjustment of the power generation side according to the optimized clearing result and the price limiting time period set; Step 5, the capacity authentication module calculates peak clipping and valley filling capacity of the electricity side according to the clearing result and the price upper/lower limit set; And 6, calculating total peak and total depth capacity adjustment of the system by the data output module according to peak clipping and valley filling capacities of the power generation side and the power utilization side.
4. The method for computing annual peak and deep tone capability computing systems of electrical power systems in an electrical power spot market according to claim 3, wherein said step 1 comprises the steps of: step 1.1, setting an interval According to the stable combustion and oil injection threshold values, the three sections are divided: Step 1.2, constructing a total cost model according to the interval set in the step 1.1: Step 1.3, calculating marginal cost according to the constructed total cost model: Step 1.4, calculating a final quotation curve according to the marginal cost, namely, comparing Applying market price constraints: Step 1.5, peak capacity segment processing, namely, generating effects only in the peak capacity segment, and performing front-end correction in step 1.4.
5. The method for computing annual peak and deep tone capability computing systems of electrical power systems in an electrical power spot market according to claim 3, wherein said step 2 comprises the steps of: Step 2.1, device grouping and parameter setting: Step 2.2, segment modeling is performed according to the grouping result of the step 2.1 Step 2.3, optimizing the inside of the cost layer, namely taking the segmented set (j, t, m) formed in the step 2.2 as a decision unit, and the electricity price in a given period Constructing an objective function and constraints thereof, wherein the constraints comprise a peak shift conservation constraint, a climbing constraint and a total electricity purchasing constraint; and 2.4, generating a segmentation requirement curve according to the objective function of the step 2.3.
6. The method for computing annual peak and deep tone capability computing systems of electrical power systems in an electrical power spot market according to claim 3, wherein said step 3 comprises the steps of: Step 3.1, data receiving; step 3.2, constructing a clear model and constraints thereof according to the data received in the step 1: step 3.3, solving the clearing model constructed in the step 3.2 all the year round; step 3.4, forming price and compliance according to the result solved in the step 3.3; and 3.5, calculating the volume of the transaction according to the price and the compliance formed in the step 3.4.
7. The method for computing annual peak and deep tone capability computing systems of electrical power systems in an electrical power spot market according to claim 3, wherein said step 4 comprises the steps of: step 4.1, daily income of the computer group; step 4.2, the daily cost of the computer unit; Step 4.3, constructing a funding condition according to daily income and daily cost of the unit; Step 4.4, defining a set of current day price limiting time periods according to the qualification of the step 4.3, and calculating peak capacity; and 4.5, calculating the deep capacity according to the qualification in the step 4.3 by taking 50% of rated capacity as a reference.
8. The method for computing annual peak and deep tone capability computing systems of electrical power systems in an electrical power spot market according to claim 3, wherein said step 5 comprises the steps of: step 5.1, calculating peak clipping amount and valley filling amount; step 5.2, a price limit period set is defined, and a price upper/lower limit period set is defined; Step 5.3, calculating peak clipping capacity according to the price limit time period set and the peak clipping amount in the step 5.2; Step 5.4, calculating the grain filling capacity according to the price limit period set of the step 5.2 and the grain filling amount; and 5.5, outputting peak clipping capacity and valley filling capacity.
9. The method for computing annual peak and deep tone capability computing systems of electrical power systems in an electrical power spot market according to claim 3, wherein said step 6 comprises the steps of: step 6.1, calculating the total peak capacity of the system; step 6.2, calculating the total depth capacity of the system; and 6.3, outputting the total peak capacity of the system and the total depth capacity of the system.

Description

Annual peak and deep adjustment capability computing system and method for power system in power spot market Technical Field The invention belongs to the technical field of calculation of annual peak and deep regulating capacity of a system, and particularly relates to a calculation system and a method of annual peak and deep regulating capacity of a power system in a power spot market. Background In the process of building and developing a novel power system, the installed scale of the new energy can continuously increase, and meanwhile, the power load is continuously increasing due to the unfriendly characteristics of the power grid such as the intermittence of the new energy output and the reverse peak shaving, and the power balance, the safe operation and the power supply protection of the power system are challenged. There are controllable power conditioning resources in the power system on the power generation side and the user side, including the deep conditioning capacity of the coal motor group, the power controllability of some types of electrical loads, the conditioning capacity of these conditioning resources requiring economic incentives to achieve its spontaneous and active provision of controlled conditioning to the power system. The electric power spot market is developed in each province in China gradually, time-varying market electricity prices are formed in the electric power spot market, and the main body of the electricity generation side and the main body of the electricity utilization side participating in the market are required to conduct time-sharing settlement of electricity fees according to the prices formed in the electric power spot market. Because the electricity price values of different periods are different, the electricity price is different in unit settlement of electricity generation or electricity consumption in different periods, namely, in a high-price period, the electricity generation side main body tends to generate more electricity to obtain higher electricity generation income, the electricity consumption side main body tends to generate less electricity to realize lower electricity price expenditure, and the behavior of the electricity generation and electricity consumption market main body in a low-price period shows opposite characteristics. Therefore, the price of the power spot market is an important signal to achieve active power regulation of the generated electricity. Disclosure of Invention The invention aims to overcome the defects of the prior art, provides a system and a method for calculating annual peak and deep regulation capacity of a power system in a power spot market, and constructs a method for evaluating the overall peak and deep regulation capacity of the power system by considering the transaction behavior characteristics of market bodies at a power generation side and a power utilization side. The invention can be applied to evaluation of new energy consumption, active control, reliability and the like of the electric power system in the market environment. The invention solves the technical problems by adopting the following technical scheme: The annual peak and deep regulating capability computing system of the power system in the power spot market comprises a login authentication module, a data input module, a quotation modeling module, a market clearing module, a capacity authentication module and a data input and output module, wherein the login authentication module, the data input module, the quotation modeling module, the market clearing module, the capacity authentication module and the data input and output module are sequentially connected, The login authentication module is used for authenticating the identity of the user; The data input module is used for inputting unit parameters, electricity side parameters, power grid parameters and market rules, The quotation modeling module comprises a power generation measuring module and a load side, wherein the power generation measuring module generates a monotonically non-decreasing subsection quotation curve based on the typical quadratic function cost of the unit and the market price limit; The market clearing module calculates the marginal electricity price of the node, the composition of each unit, the line blockage condition, the electricity limiting and electricity shortage quantity of each unit and records the time period set that the marginal electricity price of each node reaches the upper/lower limit price according to the maximum social benefit as a target, the adjustable demand and the rigid load of the power generation side and the coupling factors of the line limit and the energy storage charge and discharge in multiple time periods according to the demand; The capacity authentication module takes the maximum value of the winning power as peak capacity in an upper limit period set at the power generation side, takes the maximum downward regulating power as deep regulat