CN-115456666-B - Energy storage configuration method based on price sensitivity

Abstract

The invention relates to the technical field of electric power, in particular to an energy storage configuration method based on price sensitivity. The method comprises the steps of S1, uniformly and alternately collecting transmission power of m distribution network connecting lines at the current time t and before the current time t, S2, establishing a distribution network connecting line transmission power regulation model, obtaining distribution network connecting line transmission power P grid1 (t) regulated at the current time t based on the power fluctuation rate F (t) of the connecting lines, S3, calculating the power fluctuation rate F (t) of the connecting lines at the current time t based on the regulated distribution network connecting line transmission power P grid1 (t), and regulating the electricity price based on the power fluctuation rate F (t) of the connecting lines. The invention can better realize the optimal management of the energy storage system through electricity price adjustment.

Inventors

• FANG BAOMIN
• ZHAO DONGNING
• LI YANHE
• ZHANG LIBO
• YANG KAIXUAN
• CHEN DIAN
• Gan jiatian
• ZHANG JIAN
• CHEN CHUNMENG
• DAI QIAN
• WU JUNLING
• LU GUOQIANG
• Zhang shang
• LIANG YING
• YUN LEI

Assignees

• 国网青海省电力公司
• 中国电力科学研究院有限公司
• 国家电网有限公司

Dates

Publication Date

20260508

Application Date

20220901

Claims (1)

1. 1. An energy storage configuration method based on price sensitivity comprises the following steps: step S1, uniformly and alternately collecting transmission power of m distribution network connecting lines before the current time t; S2, establishing a power distribution network tie line transmission power regulation model, and based on the power fluctuation rate of the tie line Acquiring transmission power of power distribution network tie lines regulated and controlled at current moment t ; Step S3, transmitting power based on regulated power distribution network tie lines Calculating the power fluctuation rate of the interconnecting line at the current time t And based on power fluctuation rate of the interconnecting line Adjusting the electricity price; In step S2, the expression of the link power regulation model is, ; Wherein, the For the acquired actual transmission power of the distribution network tie line at the current moment t, a is a set parameter and 0< a <1, Representing the transmission power of a power distribution network tie line at the ith sampling time; , ; Where m is the total number of samples, Representing the transmission power of the power distribution network interconnecting line in the t-i regulation and control period; In step S3, the electricity price adjustment formula is, ; Wherein, the The electricity price after the adjustment at the time t is obtained, For the electricity price before the adjustment of the time t, In order to be sensitive to price fluctuations, In order to set the adjustment base number, ; ; Wherein, the The power fluctuation rate of the front link is adjusted for the current time t, The power fluctuation rate of the connecting line at the previous sampling time of the current time t; the value range of a is 0.15-0.25.

Description

Energy storage configuration method based on price sensitivity Technical Field The invention relates to the technical field of electric power, in particular to an energy storage configuration method based on price sensitivity. Background Renewable energy sources such as photovoltaic power generation and the like are rapidly developed at present, and particularly, the renewable energy sources are widely popularized and applied in intelligent parks, but are greatly influenced by environment, particularly, temperature and illumination, so that the power generation output power of the renewable energy sources is extremely unstable, and the power quality and the power supply reliability of a power grid are influenced. In addition, with the development of economy and technology, the number of electric vehicles is also rapidly increased, and the electric power quality of the power grid is greatly influenced by the charging of the electric vehicles connected to the power grid. For the smart park, the micro-grid is connected with the main network through the connecting lines to maintain the power balance of the power grid, so that the reliable power supply of the smart park micro-grid is ensured. Because of the connection of the photovoltaic power generation, the fluctuation of the output is overlapped with the fluctuation of the charging load of the electric automobile, so that larger power fluctuation is generated on the connecting line. To stabilize the link power, a certain amount of energy storage devices need to be configured. The types of energy storage systems mainly include energy storage, power storage and hybrid storage. The hybrid energy storage can combine the advantages of the two energy storage, and can well stabilize the fluctuation of the power of the tie line. However, the energy storage cost is high, and the prepared energy storage capacity is too large and too small, so that the searching of the optimal energy storage capacity configuration in the intelligent park distribution network is extremely important. In addition, in order to adjust the power fluctuation on the connecting line, from the aspect of management on the demand side, a user can be guided to change the electricity consumption behavior by adjusting or compensating the power supply price and the like, and finally, the purpose of adjusting the load and clipping and filling the peak is achieved. Disclosure of Invention The invention provides an energy storage configuration method based on price sensitivity, which can overcome certain or certain defects in the prior art. According to the invention, the energy storage configuration method based on price sensitivity comprises the following steps: step S1, uniformly and alternately collecting transmission power of m distribution network connecting lines before the current time t; s2, establishing a power distribution network tie line transmission power regulation model, and based on the power fluctuation rate of the tie line Acquiring transmission power of power distribution network tie lines regulated and controlled at current moment t; Step S3, transmitting power based on regulated power distribution network tie linesCalculating the power fluctuation rate of the interconnecting line at the current time tAnd based on power fluctuation rate of the interconnecting lineAnd adjusting the electricity price. Through the method, regulation and control based on electricity price can be preferably realized, and a user is guided to change electricity consumption behaviors by adjusting or compensating power supply price and the like, so that the purposes of load regulation and peak clipping and valley filling are finally achieved. Preferably, in step S2, the expression of the link power regulation model is, Wherein, the For the acquired actual transmission power of the distribution network tie line at the current moment t, a is a set parameter and 0< a <1,And representing the transmission power of the power distribution network connecting line at the ith sampling time. The established tie line power regulation model can be carried out based on the power fluctuation rate of the power distribution network tie line, so that the power fluctuation rate of the power distribution network tie line can be well ensured to be kept within a limited range, the condition that the power of the power distribution network tie line is suddenly increased or reduced is well reduced, and the influence of the power fluctuation of the power distribution network tie line on the transmission capacity of the tie line is reduced. As a preferred alternative to this, , ; Where m is the total number of samples,And the transmission power of the distribution network interconnection line at the t-i regulation period is represented. Through the method, the calculation of the power needing to be stabilized by the hybrid energy storage system can be realized by taking the power fluctuation rate as the energy storage stabilizing index