Photovoltaic consumption method based on response difference of flexible load demands

Abstract

The invention discloses a photovoltaic consumption method based on response difference of flexible load demands. The photovoltaic consumption method includes the steps of 1) establishing a photovoltaic consumption model containing thermal power generation and response difference of multi-type flexible load demands, 2) determining correlation parameters of a thermal power set in a power grid, 3) determining previous photovoltaic generating capacity in each time period; 4) obtaining electricity price elastic coefficient and original electricity price of flexible loads of the industrial type, the business type and resident type, and determining the previous power consumption of each time period of each type, 5) solving the model in the step (1) according to the steps 2)-4), and 6) solving the previous time-of-use electricity price of the flexible loads of the industrial type, the business type and resident type according to the solved result of the step 5). The time-of-use electricity price is used as an excitation means for flexible loads of the industrial type, the business type and resident type. The electricity price scheme can be changed according to the previous loads and photovoltaic prediction results, various flexible load resources can be fully dispatched, and the photovoltaic consumption level can be improved.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic accommodation, and more specifically, a photovoltaic accommodation method based on the difference of flexible load demand response. Background technique [0002] With the rapid development of society and economy, the human demand for electric energy is increasing, which also increases the demand for fossil energy. However, the proven reserves of traditional fossil energy are limited and will be exhausted in a hundred years. In addition, fossil energy pollutes the environment and seriously endangers human health. In response to the above problems, China has vigorously developed photovoltaic power generation in recent years, but with the continuous increase of photovoltaic installed capacity, its volatility and intermittency have brought great challenges to the economic operation of the power system. [0003] In order to improve the economical operation of the power system containing photovolt...

AI Technical Summary

Problems solved by technology

However, the existing pricing model only considers one type of load when formulating the time-of-use electricity price in peak, flat and valley periods, and does not consider the diversity of loads. In fact, the response characteristics of different loads are not the same, and their ability to absorb photovoltaics is also different. It is necessary to consider its response characteristics and responsiveness, and formulate corresponding electricity price incentive measures for it, so as to achieve the purpose of rationally and orderly guiding various flexible loads to change their electricity consumption behavior and maximize the consumption of photovoltaics; in addition, the incentive electricity price policy Time-of-use electricity prices are mostly used in peak, flat and valley, but this method cannot be changed arbitrarily in a short period of time, and flexible load resources cannot be fully mobilized to participate in photovoltaic consumption

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