A simulation analysis method and device for monthly income of electric power spot trading

Abstract

The present invention proposes a simulation analysis method and device for the monthly income of electric power spot trading. Starting from the starting date, it is judged whether there has been a strategic declaration before the day. Whether it will be promoted in the medium and long term the next day. If due to various unexpected factors on the same day, the strategy has not been declared before the day, then by solving the optimization model, the 96 points before the day-a-day trading are reasonably carried out to maximize the benefits. The conversion of the medium and long-term settlement curve, the conversion of the day-ahead clearing power, and the update of the status table are carried out after the declaration of the strategy on the day of output. In chronological order, after the day-by-day calculation until the return calculation deadline, you can analyze and compare the strategy income and actual income, and calculate the income increase ratio. The invention provides a theoretically feasible simulation back-calculation effect comparison for the power spot trading strategy, evaluates the feasibility of the trading strategy, and provides basis and suggestions for auxiliary decision-making.

Description

technical field [0001] The invention belongs to the field of electric power trading, and in particular relates to a simulation analysis method and device for monthly income of electric power spot trading. Background technique [0002] Due to the uncertainty of wind and light resource forecasting, the short-term forecast deviation of new energy is too large. The average forecast accuracy of wind power is generally 40%-50%, and the average forecast accuracy of photovoltaic is generally about 80%. How to design spot trading strategies to make new energy Energy power generation companies will not incur high assessment costs while reasonably completing their mid- and long-term plans. Maximizing revenue is a problem that all new energy power generation companies should consider. [0003] Due to the non-reproducibility of transactions, it is necessary to evaluate the effect of manual intervention transactions or strategic intervention transactions, that is, to measure the profit in...

AI Technical Summary

Problems solved by technology

[0005] 2) The comparison of the existing single-day strategy income cannot judge the consumption of the monthly mid-to-long-term plan. It is difficult to evaluate whether the amount decomposed to the day is reasonable, and how it will affect the completion of the total amount of the mid-to-long-term plan for the whole month;

[0006] 3) Insufficient analysis of the composition and interrelationships of power trading revenues, failing to consider the relative relationship of each revenue as a whole

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