CN105391080A

CN105391080A - Optimized operation method of energy storage system

Info

Publication number: CN105391080A
Application number: CN201510752139.6A
Authority: CN
Inventors: 曾伟; 孙旻; 曹蓓
Original assignee: State Grid Corp of China SGCC; Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
Current assignee: State Grid Corp of China SGCC; Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
Priority date: 2015-11-03
Filing date: 2015-11-03
Publication date: 2016-03-09
Anticipated expiration: 2035-11-03
Also published as: CN105391080B

Abstract

The invention relates to an optimized operation method of an energy storage system. The method comprises a middle-term and short-term optimization process and an ultra-short-time optimization process. During the middle-term and short-term optimization process, discharging depth restriction information of an energy storage system is provided based on a battery health state and battery accumulated damge information; and during the ultra-short-time optimization process, a charging-discharging power is controlled according to a feedback of a real-time state of charge (SOC). The cycle of the middle-term and short-term optimization process is one day and above; and the time of the ultra-short-time optimization process is less than one day, wherein the time can be at a hour level or minute level. According to the invention, the method is simple; and all energy storage units can be analyzed and evaluated independently and an optimization constraint and a scheduling instruction are provided. Application to a multi-element energy storage micro-grid energy management scheme is realized and reliability and applicability of the method are improved.

Description

A kind of energy-storage system optimizing operation method

Technical field

The present invention relates to a kind of energy-storage system optimizing operation method, belong to energy-storage system running technology field.

Background technology

Energy-storage battery must occur aging or deteriorated due to Long-Time Service, must estimate the health status (State-of-Health, SOH) of battery.The health degree of battery is weighed, in its actual change showing some parameter of inside battery (as internal resistance, capacity etc.) by SOH.The appraisal procedure of current SOH has the means such as EIS analysis, voltage evaluation, internal resistance of cell assessment, but all there is the immature of respective defect or method, carries out complete discharge test be still unique reliable method that industry and professional domain generally acknowledge with load to battery.Need to ask battery offline environment to battery discharge test, require that the testing time reaches 10 hours with the electric discharge of 0.1C standard discharge rate simultaneously.In addition, the change of SOH is a process comparatively slowly, and the charge and discharge cycles of up to a hundred times reflects the decline of SOH.In addition, the discharge and recharge degree of depth of energy-storage battery not only determines its discharge and recharge total degree, and affects the internal resistance change in the course of work, thus directly determines the loss level of battery, therefore, traffic coverage reasonable in design is conducive to the useful life of prolongation battery and improves its operating efficiency.

Summary of the invention

The object of the invention is, use to overcome existing energy-storage battery the defect existed, a kind of energy-storage system optimizing operation method is provided.

The technical scheme realizing the object of the invention is as follows:

A kind of energy-storage system optimizing operation method of the present invention, comprise optimize a middle or short term and ultrashort time optimize two processes; Described a middle or short term is optimized, and provides the restriction of the energy storage system discharges degree of depth based on battery health and battery accumulated damage; Described ultrashort time optimize, based on real-time battery charge state SOC feedback, charge-discharge electric power is controlled.

Optimize time scale described a middle or short term with 1 day and above for the cycle; Described ultrashort time optimize time scale be less than 1 day, hour level or minute level.

Described battery accumulated damage is by calculating obtain, wherein, Damage represents battery accumulated damage, and m represents the number of different depth of discharge, N _irepresent the period of i-th depth of discharge, DOD _irepresent i-th depth of discharge, C (DOD _i) represent battery failure period corresponding under i-th depth of discharge, pass through calculate, α ₁, α ₂, α ₃, α ₄, α ₅for fitting parameter, and α ₃< 0, α ₅< 0.

Described energy storage system discharges degree of depth restriction, uses DOD _limrepresent, calculate DOD by curve _lim=a+be ^sOH-Damageobtain, a, b are fitting parameter.

Described ultrashort time optimize and first determine the upper lower limit value of battery SOC, SOC _maxrepresent the upper limit, SOC _minrepresent lower limit; SOC _minby calculating SOC _min=SOC _max-DOD _limc _robtain, wherein C _rrepresent battery rated capacity; As battery SOC < SOC _mintime, restriction battery discharge, only runs charging; Work as battery SOC _min< SOC < SOC _maxtime, battery carries out work according to discharge and recharge rated power; As SOC > SOC _maxtime, the charging of restriction battery, only allows electric discharge.

The invention has the beneficial effects as follows, the inventive method is simple, to each energy-storage units independent analysis and assessment, can provide and optimize constraint and dispatch command, and be applied to polynary energy storage microgrid energy Managed Solution, improve reliability and the applicability of method.

Embodiment

The specific embodiment of the invention comprises following calculation procedure:

(1) optimizing operation method comprise a middle or short term optimize and ultrashort time optimize two processes.A middle or short term is optimized, and provides the restriction of the energy storage system discharges degree of depth based on battery SOH and accumulated damage, optimizes time scale with 1 day and above for the cycle; Optimize time ultrashort, control charge-discharge electric power based on real-time battery charge state SOC feedback, optimizing time scale is less than 1 day, can be hour level or minute level.

(2) battery accumulated damage is calculated wherein, Damage represents battery accumulated damage, and m represents the number of different depth of discharge, N _irepresent the period of i-th depth of discharge, DOD _irepresent i-th depth of discharge, C (DOD _i) represent battery failure period corresponding under i-th depth of discharge, pass through calculate, α ₁, α ₂, α ₃, α ₄, α ₅for fitting parameter, and α ₃< 0 _,α ₅< 0.

(3) optimization a middle or short term provides the restriction of the energy storage system discharges degree of depth, uses DOD _limrepresent, calculate DOD by curve _lim=a+be ^sOH-Damageobtain, a, b are fitting parameter.

(4) optimize time ultrashort

Determine the upper lower limit value of battery SOC:

SOC _maxrepresent the upper limit, can SOC be established _max=0.9;

SOC _minrepresent lower limit, by calculating SOC _min=SOC _max-DOD _limc _robtain, wherein C _rrepresent battery rated capacity.

As battery SOC < SOC _mintime, restriction battery discharge, only runs charging;

Work as battery SOC _min< SOC < SOC _maxtime, battery carries out work according to discharge and recharge rated power;

As SOC > SOC _maxtime, the charging of restriction battery, only allows electric discharge.

Claims

1. an energy-storage system optimizing operation method, is characterized in that, described method comprise a middle or short term optimize and ultrashort time optimize two processes; Described a middle or short term is optimized, and provides the restriction of the energy storage system discharges degree of depth based on battery health and battery accumulated damage; Described ultrashort time optimize, based on real-time battery charge state SOC feedback, charge-discharge electric power is controlled;

2. a kind of energy-storage system optimizing operation method according to claim 1, is characterized in that, described battery accumulated damage is by calculating obtain, wherein, Damage represents battery accumulated damage, and m represents the number of different depth of discharge, N _irepresent the period of i-th depth of discharge, DOD _irepresent i-th depth of discharge, C (DOD _i) represent battery failure period corresponding under i-th depth of discharge, pass through calculate, α ₁, α ₂, α ₃, α ₄, α ₅for fitting parameter, and α ₃< 0, α ₅< 0.

3. a kind of excellent running pipeline method of energy-storage system according to claim 1, is characterized in that, described energy storage system discharges degree of depth restriction, uses DOD _limrepresent, calculate DOD by curve _lim=a+be ^sOH-Damageobtain, a, b are fitting parameter.

4. a kind of energy-storage system optimizing operation method according to claim 1, is characterized in that, described ultrashort time optimize the upper lower limit value first determining battery SOC, SOC _maxrepresent the upper limit, SOC _minrepresent lower limit; SOC _minby calculating SOC _min=SOC _max-DOD _limc _robtain, wherein C _rrepresent battery rated capacity; As battery SOC < SOC _mintime, restriction battery discharge, only runs charging; Work as battery SOC _min< SOC < SOC _maxtime, battery carries out work according to discharge and recharge rated power; As SOC > SOC _maxtime, the charging of restriction battery, only allows electric discharge.

5. a kind of energy-storage system optimizing operation method according to claim 4, is characterized in that, described SOC _max=0.9.