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Micro-grid energy storage optimization configuration method based on particle swarm algorithm

A particle swarm algorithm and optimized configuration technology, applied in circuit devices, AC networks with energy trade/energy transmission authority, computing, etc., can solve the problem that the microgrid energy storage system cannot take into account the energy storage configuration and operation optimization, load impact, etc. question

Active Publication Date: 2020-12-18
XIAN UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a micro-grid energy storage optimization configuration method based on the particle swarm optimization algorithm, which solves the p

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  • Micro-grid energy storage optimization configuration method based on particle swarm algorithm
  • Micro-grid energy storage optimization configuration method based on particle swarm algorithm
  • Micro-grid energy storage optimization configuration method based on particle swarm algorithm

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Embodiment

[0193] Taking a small microgrid with distributed power stations in Shaanxi as an example, the type of energy storage system is lithium iron phosphate battery, its unit capacity cost is 1300 yuan / kW, energy storage unit power cost is 1100 yuan / kW, transformer unit load cost is 800 yuan / kW, the compensation for photovoltaic power generation is 0.2955 yuan / kWh, and the reverse transmission price is 0.3545 yuan / kWh.

[0194] Applying the K-means clustering algorithm to the daily load data of the power plant in a year is as follows figure 2 Among the four typical daily load curves shown, the curve with the largest load is taken as the typical daily load curve and obtained as follows image 3 The PV output forecast of the power plant shown in the comparison is obtained as follows Figure 4 As shown in the comparison chart, the photovoltaic output is greater than the load output from 7:00 to 9:00. If there is no energy storage device, this part of the surplus power will be sent bac...

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Abstract

The invention discloses a micro-grid energy storage optimization configuration method based on a particle swarm algorithm. The method comprises the following steps: firstly designing a battery energystorage system model; preprocessing the daily load data, the photovoltaic power generation data and the time-of-use electricity price data of micro-grid users to obtain energy storage capacity, powerand investment cost parameter constraints; establishing an energy storage optimal configuration model: establishing the energy storage optimal configuration model by taking the lowest investment and the maximum income of the energy storage device as target functions, and considering constraint conditions including renewable resource power generation, power balance and the number of times of charging and discharging; solving the energy storage optimization configuration model by using the particle swarm algorithm; and finally, evaluating the characteristic indexes, and calculating energy storage optimization parameters to obtain the final micro-grid energy storage optimization configuration method. According to the invention, the problem that the optimal configuration of the micro-grid energy storage system in the prior art cannot consider the energy storage configuration, the operation optimization and the load influence at the same time is solved.

Description

technical field [0001] The invention belongs to the technical field of configuration optimization of a micro-grid energy storage system, and in particular relates to a micro-grid energy storage optimization configuration method based on a particle swarm algorithm. Background technique [0002] Due to the high proportion of fossil energy in the current energy structure, the energy crisis and environmental problems caused by it are becoming more and more serious. It is imminent to develop renewable energy and increase its proportion in the energy structure. Solar energy, wind energy and other renewable energy power generation have been vigorously developed in recent years, but the randomness and intermittent nature of their power generation make their direct connection to the power grid a great impact on the power grid. In order to reduce the impact of random and intermittent renewable resource access on the power system and achieve efficient and sustainable use of renewable e...

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Application Information

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IPC IPC(8): H02J3/00H02J3/32G06Q10/04G06Q50/06
CPCH02J3/008H02J3/32G06Q10/04G06Q50/06H02J2203/20Y04S10/50Y02E10/56Y02E40/10Y02E40/70Y02E70/30
Inventor 黑新宏张腾费蓉王彬何文娟杜楠娄霄
Owner XIAN UNIV OF TECH
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