Peak shaving auxiliary service market transaction subject-oriented allocation upper limit dynamic adjustment strategy
An ancillary service and dynamic adjustment technology, applied in market data collection, marketing, instruments, etc., can solve the problems of mismatched growth rate, damaged revenue, and low peak revenue of thermal power enterprises, so as to alleviate the peak shaving dilemma and guarantee The effect of reasonable gains
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2022-01-28
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Abstract
Description
technical field
[0001] The invention belongs to the technical field of improving the apportionment method of the peak-shaving auxiliary service market, and in particular relates to a dynamic adjustment strategy of the upper limit of the apportionment for transaction subjects in the peak-shaving auxiliary service market. Background technique
[0002] In recent years, the installed capacity and power generation of new energy have grown rapidly. The latest data from the National Energy Administration shows that by the end of 2020, the installed capacity of wind power in Northeast China was 34.3147 million kilowatts, and the power generation was 72.776 billion kwh, accounting for 13.41% of the power generation; the installed capacity of photovoltaic power generation was 1381.88 10,000 kilowatts, generating 18.767 billion kwh, accounting for 3.46% of the total. The Northeast Energy Bureau actively responded to the national call, constantly adapted to the new situation of Northeas...
Examples
Embodiment
[0179] Taking the actual load curves, new energy forecast curves and new energy actual output curves of four typical days in a certain place as figure 2 , image 3 , Figure 4 , Figure 5 shown, according to figure 2 , image 3 , Figure 4 , Figure 5 It can be seen that the maximum loads are 23273MW, 24230MW, 26720MW, 27295MW, the minimum loads are 19308MW, 19223MW, 23096MW, 22643MW, and the maximum new energy output is 3676.6MW, 3557.9MW, 4749.7MW, 5431.4MW. The minimum values are 1513.6MW, 1703.1MW, 1142.5MW and 511.1MW respectively. A total of 72 start-up thermal power units were selected on a typical day, and their specific parameters are shown in Table 1.
[0180] Table 1
[0181]
[0182]
[0183] In order to simplify the calculation, a multi-objective optimization model with the goal of maximizing the comprehensive income of wind power and thermal power is established, and the simulation software is used to solve it, and the adjustment parameters of t...