Multi-node energy storage system configuration method based on discrete-continuous hybrid method
A technology of energy storage system and configuration method, which is applied in the field of energy storage system, can solve the problem that particle swarm algorithm cannot effectively solve discrete problems, and achieve the effect of simple structure
Active Publication Date: 2021-09-03
STATE GRID ENERGY CONSERVATION SERVICE +2
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[0004] The patent of the present invention comprehensively considers the operating performance and economy of the energy storage system, considers that it is easier to combine the genetic algorithm with other algorithms, and the particle swarm algorithm is simple but cannot effectively solve discrete problems. The particle swarm algorithm is used for continuous optimization to achieve multiple Energy storage rated power and rated capacity configuration of node energy storage system
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[0046] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.
[0047] A method for configuring a multi-node energy storage system based on a discrete-continuous hybrid method, comprising the following process:
[0048] Step 1: Establish a system model under the typical daily power curve of each node; specifically include:
[0049] Step 1.1: Establish a system model according to the power situation of each node;
[0050] P k (t)=P y (t)+P Bk (t),
[0051] SOE(t+1)=SOE(t)+P Bk (t)×Δt×η÷Q e ,
[0052] Energy storage system state of energy constraints: SOE L ≤SOE(t)≤SOE U ,
[0053] Energy storage system power limit: -P e ≤P Bk (t)≤P e ,
[0054] Constraints on the initial purchase cost of the energy storage system: C P P e +C Q Q e ≤A,
[0055] The energy state of the energy storage system at the beginning of each day is...
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The invention relates to a multi-node energy storage system configuration method based on a discrete-continuous hybrid method. The method comprises the following steps: establishing a system and economic model under a typical daily power curve of each node, and comprehensively considering system operation performance and economy to obtain a discrete-continuous hybrid method objective function; fully considering a discrete part and a continuous part, defining the form and the number of coding strings, and initializing the coding strings; sorting the initial coding strings, and performing iteration of the coding strings by using a discrete-continuous hybrid method; and when the maximum number of iterations is reached, ending the iterations, and solving energy storage control and site selection configuration which enables the objective function to be optimal. The method comprehensively considers the operation performance and economical efficiency of the energy storage system, considers the characteristics that the genetic algorithm is easy to combine with other algorithms and the particle swarm algorithm is simple but cannot effectively solve discrete problems and the like, is simple in structure, and is of great significance to research and popularization of the energy storage system.
Description
Technical field: [0001] The invention relates to an energy storage system, and further relates to a multi-node energy storage system configuration method based on a discrete-continuous hybrid method. Background technique: [0002] When planning the energy storage system, it is necessary to consider whether the location of the energy storage is appropriate. As a two-way power component, the location of the energy storage in the power system will directly affect the power flow of the system, change the line load, affect the network loss, and affect The power level of the system. Therefore, it is particularly critical to choose a reasonable layout to improve the safety and stability of the system operation. Due to the relatively high price of energy storage, choosing a reasonable configuration to improve the economic level of energy storage applications has become an important research content. In addition, in recent years, the installed capacity of new energy has been contin...
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Login to View More IPC IPC(8): H02J3/28H02J3/32H02J3/00G06F30/20G06N3/12G06F111/04G06F113/04
CPCG06F30/20G06N3/126H02J3/28H02J3/32H02J3/008G06F2111/04G06F2113/04H02J2203/10H02J2203/20Y02E70/30
Inventor 周喜超王楠赵鹏翔李建林李振崔宜琳
Owner STATE GRID ENERGY CONSERVATION SERVICE