Different user energy storage configuration evaluation and operation optimization method based on energy storage model selection

A technology for operation optimization and energy storage, applied in the field of electric power, can solve problems such as insufficient consideration of typical users, neglect of time scale differences, inability to accurately obtain the optimal configuration capacity of energy storage, etc.

Pending Publication Date: 2020-11-27
SICHUAN UNIV
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Problems solved by technology

[0004] In the user-side energy storage research, most of the current studies focus on the energy storage configuration planning for a single industrial user, and some studies consider the operation optimization stage, which is not perfect for other typical users; at the s

Method used

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  • Different user energy storage configuration evaluation and operation optimization method based on energy storage model selection
  • Different user energy storage configuration evaluation and operation optimization method based on energy storage model selection
  • Different user energy storage configuration evaluation and operation optimization method based on energy storage model selection

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specific Embodiment approach

[0086] Energy storage battery selection model establishment

[0087] Step 1: Energy storage battery selection According to the type of decision-making indicators, it can be divided into quantitative indicators and qualitative indicators. For qualitative indicators, the 9-level scaling method of AHP is used to convert them into quantitative indicators to construct a solution judgment matrix. For energy storage battery scheme C i , through the decision index U j To measure, get C i About U j The decision index value C ij , the number is an interval number, expressed as C ij =(C L ij ,C U ij ), L and U are the lower limit and the upper limit, respectively. So as to form a decision matrix C = (C ij ) m×n

[0088]

[0089] Weight coefficient calculation steps

[0090] 1) Aiming at the technicality, economy, and environmental protection of the first-level indicators of the criterion layer, the judgment matrix is ​​constructed by using the 9-level scaling method of th...

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Abstract

The invention discloses a different user energy storage configuration evaluation and operation optimization method based on energy storage model selection. The method comprises the steps: building a battery energy storage model selection evaluation model based on an interval analytic hierarchy process based on battery energy storage market indexes, a verification energy storage technology and performance index parameters, and obtaining an energy storage battery through evaluation; selecting an energy storage battery, and establishing an energy storage full-life-cycle configuration model basedon a time-of-use electricity price mechanism, an energy storage battery technology and performance parameters; selecting different user annual average load curves to perform energy storage configuration, and calculating corresponding user energy storage evaluation index parameters; evaluating energy storage configurations of different users based on an analytic hierarchy process; and for users suitable for configuring energy storage, establishing a day-ahead energy storage optimal scheduling model, and optimizing the energy storage charging/discharging power in the day scheduling period basedon the LSTM day-ahead load prediction data. According to the invention, evaluation and analysis can be carried out on energy storage configured for different typical users, guidance is provided for energy storage installation of different users, and the development of user-side energy storage is promoted.

Description

technical field [0001] The invention relates to the field of electric power, in particular to an energy storage configuration evaluation and operation optimization method for different users based on energy storage type selection. Background technique [0002] In recent years, with the rapid development of social economy and the continuous improvement of people's living standards, the frequency of peak loads in the power system has continued to increase, and the load of power users has shown a large peak-to-valley difference. Battery energy storage (hereinafter referred to as "energy storage") ”) With its flexible throughput capability for electric power, it can realize the temporal and spatial translation of electric energy, and has the potential to cope with load fluctuations. At the same time, in recent years, the country has successively issued a series of policies such as "Guiding Opinions on Promoting the Development of Energy Storage Industry and Technology" and "Impl...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06
Inventor 刘洋郭久亿
Owner SICHUAN UNIV
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