Provincial power grid hedging electricity purchase optimization method

Abstract

The invention provides a provincial power grid hedging electricity purchase optimization method. The method specifically comprises the steps of S1, acquiring data, wherein the data comprises load prediction data, the inter-provincial tradable electricity quantity, hydroelectricity prediction output, a local unit power generation schedule, an inter-provincial connecting line schedule and the like, S2, carrying out data analysis and processing, and calculating compressible space of a local thermal power unit in the next month, S3, building a provincial power grid hedging electricity purchase optimization model, and S4, designing a solving algorithm of the hedging electricity purchase optimization model. The step S4 further comprises the sub-steps of S4-1, calculating the lowest power generation capacity of the thermal power unit in the current month, and determining the electricity purchase optimization space, S4-2, comparing the inter-provincial transaction electricity price and the thermal power on-grid price with the transmission loss being considered, and carrying out rank ordering, and S4-3, firstly arranging uncontrollable power generation scheduling output and the lowest power generation of the thermal power unit with the insufficient section being undertaken by hydroelectricity, sequentially arranging thermal power and extra-provincial electricity according to a sequence from low to high of the on-grid price if the power is still insufficient, and ensuring the total power generation of various power supplies in the current month to meet an upper limit restriction until a load requirement is satisfied. The electricity purchase optimization method provided by the invention can significantly improve the on-grid proportion of clean power such as wind power and photovoltaic power, and the electricity purchase cost of a power grid company is reduced.

Description

technical field [0001] The invention belongs to the technical field of grid power purchase optimization. In view of the obvious seasonal changes in wind power, hydropower and other clean energy, actively reduce or purchase more power generation plans for thermal power units, so that in the wet season or wind power season, the power grid company will consume more wind power and hydropower, and increase the proportion of clean energy on the grid. Background technique [0002] Through the optimization of power purchase, reducing the phenomenon of water abandonment during the high water season, increasing the proportion of clean energy such as hydropower and wind power, and ensuring the safety of power supply are the unremitting goals of power grid companies. The distribution of renewable energy power generation capacity in different adjacent provinces, in different seasons, and in different time periods is "unbalanced". At present, the power grid company follows the practice f...

AI Technical Summary

Problems solved by technology

The traditional planning model has the following problems: (1) it only considers the power generation and load of the province, and does not fully consider the annual distribution of renewable energy power generation resources in other provinces; (2) often only when the power generation capacity of the province is insufficient, passive When conducting electricity purchase transactions, the purchased electricity is only satisfied with making up for the power supply gap, and has a conservative attitude towards the conscious multi-purchase and multi-sale strategy; Conservative attitude towards "borrowing and repaying electricity"

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