CN104767224A - Energy management method of multi-energy-storage-type containing grid-connection type wind and light storage micro-grid - Google Patents

Energy management method of multi-energy-storage-type containing grid-connection type wind and light storage micro-grid Download PDF

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Publication number
CN104767224A
CN104767224A CN201510097189.5A CN201510097189A CN104767224A CN 104767224 A CN104767224 A CN 104767224A CN 201510097189 A CN201510097189 A CN 201510097189A CN 104767224 A CN104767224 A CN 104767224A
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China
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micro
energy storage
capacitance sensor
power
electricity price
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Inventor
杨苹
许志荣
袁昊哲
李鹏
郭晓斌
许爱东
雷金勇
喻磊
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South China University of Technology SCUT
CSG Electric Power Research Institute
Research Institute of Southern Power Grid Co Ltd
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South China University of Technology SCUT
Research Institute of Southern Power Grid Co Ltd
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Priority to CN201510097189.5A priority Critical patent/CN104767224A/en
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

Abstract

The invention discloses an energy management method of a multi-energy-storage-type containing grid-connection type wind and light storage micro-grid. The energy management method includes the steps that in the high electricity price stage, a wind electric generation mode, a light electric generation mode and the like are preferentially used for supplying electricity to loads, if redundant power exists, the redundant power is stored into an energy storage device, if wind power, light power and the like are insufficient, the energy storage device carries out discharging on the micro-grid, and if the discharging power of the energy storage device is insufficient, electricity is brought from a grid system; in the fair price stage, the wind electric generation mode, the light electric generation mode and the like are preferentially used for supplying the electricity to the loads, if redundant power exists, the redundant power is stored into the energy storage device, if the wind power, the light power and the like are insufficient, the energy storage device carries out discharging to meet the requirement of the loads, and if the SOC is small, electricity is brought from a large power grid; in the valley price stage, the requirements of the loads are met by buying electricity from the large power grid, and if the SOC of the energy storage device is small, the energy storage device is charged through the large power grid. By means of the energy management method, the problem that segmentation energy optimized management can not be carried out on most multi-energy-storage-type containing grid-connection type wind and light storage micro-grids according to electricity price information.

Description

A kind of energy management method of the storage of the grid-connected wind-light containing multiclass energy storage micro-capacitance sensor
Technical field
The invention belongs to microgrid energy administrative skill field, especially a kind of energy management method of the storage of the grid-connected wind-light containing multiclass energy storage micro-capacitance sensor.
Background technology
In order to alleviating energy crisis, build sustainable energy system, meet the diversity requirement of user to electric power, regenerative resource distributed power generation and micro power network system more and more come into one's own simultaneously.Micro-capacitance sensor can promote being incorporated into the power networks of the distributed power generation of regenerative resource, improves the utilization of regenerative resource.The utilization of regenerative resource, energy saving standard are the important research field of the long-term development in science and technology plan of China.Micro-capacitance sensor is a kind of new distributed energy organizational form and structure, cooperation control is carried out by close for region one group of micro battery, energy storage device being combined with load, micro-capacitance sensor shows as the single controlled set of " electrical network friendly " to bulk power grid, can carry out the exchange of energy with bulk power grid.
Under normal circumstances, micro-grid connection is run, and provide the voltage of rigidity and frequency to support by bulk power grid, the micro battery of micro-capacitance sensor is operated in voltage source or current source state, under EMS controls, adjusts respective power stage.Micro-capacitance sensor and bulk power grid shared internal load.Microgrid energy management system should pre-determine the power stage value of its distributed micro battery, and reasonable distribution set point gives each micro battery.And monitor points of common connection (point of common coupling, PCC) electrical parameter, when occurring that micro-capacitance sensor reactive power is uneven, and determine reactive power compensation amount, distribute this value in energy storage device, make energy storage device send out reactive power, maintain system reactive power balance and voltage stabilization.And according to micro battery coordination control strategy switching micro battery under the pattern of being incorporated into the power networks.
Economical operation is the important goal that micro-grid system is pursued.In micro-grid system, of a great variety due to distributed generation unit and energy storage device, and also the characteristic of often kind of distributed energy and energy storage device is different again, must set up the requirement that new energy management Optimized model could adapt to micro-capacitance sensor economical operation; Meanwhile, in the micro-grid system based on regenerative resource, also need to consider the running optimizatin strategies such as renewable energy utilization rate maximization, to guarantee that micro-capacitance sensor efficiently, economically runs.Domestic and international many scholars propose multiple kinds of energy management method, and conventional has: 1, carry out objective optimization according to system electrical parameter and distributed electrical source category; 2, manage according to economy principle and system construction cost; 3, the classification of priority scheduling power is carried out to distributed power source, load, energy storage device, carry out energy management according to classification.But intraday electricity price information and load condition all can change, conventional method is not to this electricity price information and load condition is analysed in depth and concrete plan, is therefore difficult to the optimal energy management accomplished within a day.
Find by prior art documents, containing the microgrid energy management multiple-objection optimization (Wang Xingang of distributed power generation, Ai Qian, xuwei China, Han Peng. containing microgrid energy management multiple-objection optimization [J] of distributed power generation. protecting electrical power system and control, 2009,10:79-83.) for the operation characteristic of distributed power source, dissimilar power supply is treated with a certain discrimination, carries out multiple-objection optimization, to reach the optimized running of whole micro-capacitance sensor, the microgrid energy optimization that reliability and economy are coordinated mutually (says David, Wei Gang, Hu Yin, Zhang Xin. the microgrid energy optimization [J] that reliability and economy are coordinated mutually. Automation of Electric Systems, 2012,04:18-23.) propose the microgrid energy optimization method that a kind of reliability is coordinated mutually with economy, balance loss of outage and investment operating cost, obtain optimum operation capacity and the power supply strategy of the years such as micro-capacitance sensor all kinds of micro battery when value expense is minimum, microgrid energy management system functional structure architectural study and design (Niu Huanna, Huang Xiuqiong, Yang Rengang, Tang Yunfeng, Feng little Ming, Yang Minghao. microgrid energy management system functional structure architectural study and design [J]. regenerative resource, 2013, 06:47-51.) according to the priority scheduling power classification that distributed power source all types of in micro-grid system is enjoyed, the different choice of load rating and major network system electricity price type, different energy scheduling strategies, determine corresponding Optimal Operation Model, adopt the optimized operation plan of effective Algorithm for Solving following different dispatching cycle, comprise the plan of a few days ago exerting oneself to degree type unit adjustable in micro-capacitance sensor, energy storage device is operation plan and Real-Time Scheduling plan a few days ago.Above Method and Technology does not all have to carry out analysing in depth and concrete plan according to electricity price information, only in the structures such as distributed power source, load, energy storage device and analyze in economy, detailed management scheme is not analysed in depth and proposed to the micro-capacitance sensor ruuning situation within one day.
For above deficiency, the present invention considers the situation of change of distributed power source in a day, load, energy storage device and electricity price information, carry out segmentation according to electricity price information, different energy management strategies is carried out to different segmentations, realize the energy management of micro-capacitance sensor under different segmentation.
Summary of the invention
The object of the invention is to solve above-mentioned the deficiencies in the prior art part, the energy management method of a kind of grid-connected wind-light containing multiclass energy storage storage micro-capacitance sensor is provided.
Containing an energy management method for the grid-connected wind-light storage micro-capacitance sensor of multiclass energy storage, it comprises the steps:
(1) high electricity price section, ordinary telegram valency section and paddy electricity price section was divided into according to electricity price information by 24 hours; And set the energy management Real-Time Scheduling cycle of micro-capacitance sensor central controller;
(2) in the Real-Time Scheduling running of micro-capacitance sensor, exerting oneself of Real-Time Monitoring wind power generation, photovoltaic generation, flow battery energy storage device, lithium battery energy storage battery device, and state-of-charge (State of charge, the SOC) value of monitoring energy storage device; Electricity price section residing for current time carries out Real-Time Scheduling for the operation of micro-capacitance sensor;
(3) Spot Price information is considered: at the energy management strategies of high electricity price section, wind power generation or photovoltaic generation form is preferentially utilized to power to load, if there is surplus power, be stored in energy storage device, if underpower, energy storage device is utilized to discharge to micro-capacitance sensor, if energy storage device discharge power is not enough, then by bulk power grid power purchase, to meet the needs that micro-capacitance sensor runs; At the energy management strategies of ordinary telegram valency section, wind power generation or photovoltaic generation form is preferentially utilized to power to load, judge that subsequent period is paddy electricity price section or high electricity price section, if subsequent period paddy electricity price section, then the energy management of micro-capacitance sensor ordinary telegram valency section adopts the energy management strategies of high electricity price section, if the high electricity price section of subsequent period, then the energy management of micro-capacitance sensor ordinary telegram valency section still adopts the energy management strategies of high electricity price section, and flow battery energy storage device and lithium battery energy storage battery device are charged, ensure that the SOC of two devices is in normal value; At the energy management strategies of paddy electricity price section, by meeting load electricity consumption to bulk power grid power purchase, and by bulk power grid power purchase, energy storage device is charged.
Further, micro-capacitance sensor comprises the steps: at the energy management scheduling strategy of high electricity price section
A () detects the net load of micro-capacitance sensor, if the net load of micro-capacitance sensor is greater than 0, flow battery energy storage device is then preferentially utilized to discharge, to meet the net load demand of micro-capacitance sensor, if the discharge power of flow battery energy storage device can not meet service requirement, then met the net load demand of micro-capacitance sensor by the electric discharge of lithium battery energy storage battery device, if the discharge power of lithium battery energy storage battery device can not meet service requirement, then by meeting the net load demand of micro-capacitance sensor to bulk power grid power purchase;
If b the net load of () micro-capacitance sensor is less than 0, flow battery energy storage device is then preferentially utilized to charge, detect the net load demand whether flow battery energy storage rating of set meets micro-capacitance sensor, if meet, then charge according to net load determination flow battery energy storage device charge power, if do not meet, flow battery energy storage device charges with maximum charge power, micro-capacitance sensor central controller calculates remaining net load demand, judge whether the charge power of lithium battery energy storage battery device meets remaining net load demand, if meet, then charge according to the charge power of remaining net load demand determination lithium battery energy storage battery device, if do not meet, lithium battery energy storage battery device charges with maximum charge power, micro-capacitance sensor central controller judges whether photovoltaic generation exerts oneself, if, then limit Power operation is carried out to photovoltaic generation.
Further, micro-capacitance sensor is at the energy management strategies of paddy electricity price section, due to the mainly photovoltaic generation of regenerative resource in this micro-capacitance sensor, and the paddy electricity price section of bulk power grid is in the period in midnight to morning in 24 hours, now photovoltaic generation is not exerted oneself, wind power generation output is less, therefore in paddy electricity price section micro-capacitance sensor, regenerative resource is not almost exerted oneself, while the electric energy mainly making full use of bulk power grid fully meets load electricity consumption, recover the SOC of flow battery energy storage device and lithium battery energy storage battery device to normal value.
Further, micro-capacitance sensor comprises the steps: at the energy management strategies of ordinary telegram valency section
(1) if the subsequent period of this ordinary telegram valency section is the paddy electricity price section of micro-capacitance sensor, then the energy management of micro-capacitance sensor adopts the energy management strategies of high electricity price section, to reduce micro-capacitance sensor from the purchases strategies bulk power grid;
(2) if the subsequent period of this ordinary telegram valency section is the high electricity price section of micro-capacitance sensor, still adopt micro-capacitance sensor at the energy management strategies of high electricity price section, if micro-capacitance sensor has surplus power, be stored in flow battery energy storage device and lithium battery energy storage battery device, if microgrid power deficiency, utilize bulk power grid electric energy to charge to flow battery energy storage device and lithium battery energy storage battery device, need to ensure that the SOC of flow battery energy storage device and lithium battery energy storage battery device in micro-capacitance sensor is in normal value.
Compared with prior art, the present invention has following effect: the energy management method providing a kind of grid-connected wind-light containing multiclass energy storage storage micro-capacitance sensor, consider the situation of change of distributed power source in a day, load, energy storage device and electricity price information, segmentation is carried out according to electricity price information, different energy management strategies is carried out to different segmentations, realizes the energy-optimised management of micro-capacitance sensor under different segmentation.
Accompanying drawing explanation
Fig. 1 is the energy management strategies block diagram of a kind of grid-connected wind-light containing multiclass energy storage storage micro-capacitance sensor;
Fig. 2 is the energy management strategies of high electricity price section;
Fig. 3 is the energy management strategies of paddy electricity price section;
Fig. 4 is the energy management strategies of ordinary telegram valency section;
Fig. 5 is that micro-grid connection runs energy management simulation waveform figure.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is further detailed explanation, but embodiments of the present invention and being not limited thereto.
A kind of energy management strategies of the storage of the grid-connected wind-light containing multiclass energy storage micro-capacitance sensor as shown in Figure 1.Below as just a kind of example of technique scheme.
The first step: intraday electricity price is divided into high electricity price section, ordinary telegram valency section and paddy electricity price section; And set the energy management Real-Time Scheduling cycle of micro-capacitance sensor central controller; In the Real-Time Scheduling running of micro-capacitance sensor, Real-Time Monitoring wind power generation, photovoltaic generation and flow battery energy storage device, the exerting oneself of lithium battery energy storage battery device, and monitor the SOC value of energy storage device; According to current electricity prices information, judge the residing stage at present, if high electricity price section, then directly perform the energy management strategies of second step high electricity price section; If paddy electricity price section, then directly perform the energy management strategies of the 3rd step paddy electricity price section; If ordinary telegram valency section, then directly perform the energy management strategies of the 4th step ordinary telegram valency section;
Second step: the energy management strategies of high electricity price section as shown in Figure 2, first detects the net load of micro-capacitance sensor;
If a the net load of () micro-capacitance sensor is greater than 0, flow battery energy storage device is then preferentially utilized to discharge, detect the demand whether flow battery energy storage device power output meets micro-capacitance sensor operation, if meet, then flow battery energy storage device is according to net load determination discharge power, if do not meet, flow battery energy storage device discharges with maximum discharge power, micro-capacitance sensor central controller calculates remaining net load demand, judge whether the discharge power of lithium battery energy storage battery device meets remaining net load demand, if meet, then discharge according to the discharge power of remaining net load demand determination lithium battery energy storage battery device, if do not meet, lithium battery energy storage battery device discharges with maximum discharge power, and by meeting remaining net load demand to bulk power grid power purchase,
If b the net load of () micro-capacitance sensor is less than 0, flow battery energy storage device is then preferentially utilized to charge, detect the net load demand whether flow battery energy storage rating of set meets micro-capacitance sensor, if meet, then charge according to net load determination flow battery energy storage device charge power, if do not meet, flow battery energy storage device charges with maximum charge power, micro-capacitance sensor central controller calculates remaining net load demand, judge whether the charge power of lithium battery energy storage battery device meets remaining net load demand, if meet, then charge according to the charge power of remaining net load demand determination lithium battery energy storage battery device, if do not meet, lithium battery energy storage battery device charges with maximum charge power, micro-capacitance sensor central controller judges whether photovoltaic generation exerts oneself, if, in order to maintain microgrid power balance, then limit Power operation is carried out to photovoltaic generation,
C () directly performs the 5th step.
3rd step: the energy management strategies of paddy electricity price section as shown in Figure 3, first detects the net load of micro-capacitance sensor; If the net load of micro-capacitance sensor is greater than 0, the electric energy of bulk power grid is then utilized to meet load need for electricity, micro-capacitance sensor central controller judges whether the SOC of flow battery energy storage device and lithium battery energy storage battery device reaches normal value, if SOC does not reach normal value, flow battery energy storage device and lithium battery energy storage battery device charge according to maximum charge power; The net load of micro-capacitance sensor is less than 0, micro-capacitance sensor central controller judges whether the SOC of flow battery energy storage device and lithium battery energy storage battery device reaches normal value, if SOC does not reach normal value, flow battery energy storage device and lithium battery energy storage battery device charge according to maximum charge power; Direct execution the 5th step.
4th step: the energy management strategies of ordinary telegram valency section as shown in Figure 4, first judges that the subsequent period of this ordinary telegram valency section is the paddy electricity price section of micro-capacitance sensor or high electricity price section.
If a the subsequent period of () this ordinary telegram valency section is the paddy electricity price section of micro-capacitance sensor, then the energy management of micro-capacitance sensor adopts the energy management strategies of high electricity price section, to reduce micro-capacitance sensor from the purchases strategies bulk power grid;
If b the subsequent period of () this ordinary telegram valency section is the high electricity price section of micro-capacitance sensor, still adopt micro-capacitance sensor at the energy management strategies of high electricity price section, if micro-capacitance sensor has surplus power, be stored in flow battery energy storage device and lithium battery energy storage battery device, if microgrid power deficiency, utilize bulk power grid electric energy to charge to flow battery energy storage device and lithium battery energy storage battery device, need to ensure that the SOC of flow battery energy storage device and lithium battery energy storage battery device in micro-capacitance sensor is in normal value.
5th step: return to the first step, according to current electricity prices information, judges the residing stage at present.
Fig. 5 is the energy management strategies simulation result of a kind of grid-connected wind-light containing multiclass energy storage storage micro-capacitance sensor.Pw1 is the power output of wind-driven generator 1, Pw2 is the power output of wind-driven generator 2, Ppv is photovoltaic generation power output, Pbat1 is lithium battery energy storage battery device charge-discharge electric power, Pbat1 is greater than 0 expression lithium battery energy storage battery device electric discharge, Pbat1 is less than 0 expression lithium battery energy storage battery device charging, SOC1 is lithium battery energy storage battery device state-of-charge, Pbat2 is flow battery energy storage device charge-discharge electric power, Pbat2 is greater than 0 expression flow battery energy storage device electric discharge, Pbat2 is less than 0 expression flow battery energy storage device charging, SOC2 is flow battery energy storage device state-of-charge, Ploadx is load power size, Case represents that (Case is 1 expression paddy electricity price section to current electricity prices section, Case is the high electricity price section of 2 expression, Case is 3 expression ordinary telegram valency sections), Pgrid represents that (Pgrid is greater than 0 expression micro-capacitance sensor and charges to bulk power grid the power that micro-capacitance sensor sends to bulk power grid, Pgrid is less than 0 expression micro-capacitance sensor to bulk power grid power purchase).
Fig. 5 is 24 hours simulation results, and in analogue system, 2s simulation time represents 1 hour.The 0s moment represents 7 o'clock of morning, and therefore, not corresponding in the same time electrical network electricity price is as shown in table 1.As shown in Figure 5, in 0 ~ 2s, micro-capacitance sensor is in paddy electricity price section, because lithium battery energy storage battery device SOC1 and flow battery energy storage device SOC2 does not also reach energy storage device set upper limit value, (lithium battery energy storage battery device SOC1 higher limit is 90%, flow battery energy storage device SOC2 higher limit is 100%), therefore two energy storage devices all enter charged state, through after a period of time, lithium battery energy storage battery device SOC1 reaches higher limit, namely SOC1 is 90%, therefore lithium battery energy storage battery device stops charging, power output is 0, and flow battery energy storage device is not owing to reaching higher limit, then proceed charging.In 2 ~ 4s, system is in par rate period, because subsequent period is high electricity price section, the normal value of lithium battery energy storage battery device SOC1 is 80%, the normal value of flow battery energy storage device SOC2 is 70%, and in order to ensure that the SOC of flow battery energy storage device and lithium battery energy storage battery device in micro-capacitance sensor is in normal value, therefore lithium battery energy storage battery device reaches stopping electric discharge when SOC1 is 80% in electric discharge, and flow battery energy storage device is not owing to arriving the normal value of SOC2, be then in discharge condition always.It is high electricity price section in 4 ~ 10s, flow battery energy storage device and lithium battery energy storage battery device will to load supplyings, but due to the continuous increase of photovoltaic generation power output, flow battery energy storage device and lithium battery energy storage battery device first reduce power output gradually, then flow battery energy storage device and lithium battery energy storage battery device become charged state, unnecessary solar energy is stored, after a period of time, the SOC of flow battery energy storage device and lithium battery energy storage battery device reaches higher limit, now illumination is also in increase, in order to maintain microgrid power balance, then limit Power operation is carried out to photovoltaic generation.In 10 ~ 20s, in front more than half section time, by photovoltaic generation, micro-grid load is powered, when arriving the lower period of the day from 11 a.m. to 1 p.m, due to the reduction of intensity of illumination, photovoltaic generation is exerted oneself and is less than micro-grid load demand, and now flow battery energy storage device and lithium battery energy storage battery device will become discharge condition, power to load.Because do not have sunshine after 18:30 in the afternoon, photovoltaic generation can not outwards be powered, therefore in 20 ~ 30s, flow battery energy storage device and lithium battery energy storage battery device will be in discharge condition, load is powered, until the SOC of flow battery energy storage device and lithium battery energy storage battery device all reaches lower limit, the electric energy of bulk power grid is utilized to power to load.Ordinary telegram valency section is in 30 ~ 32s, because a upper period energy storage device SOC reaches lower limit, therefore will to bulk power grid power taking at this period load.In 32 ~ 48s, be in paddy electricity price section, flow battery energy storage device and lithium battery energy storage battery device will charge, until the SOC of two devices all reaches normal value, load is then directly to electrical network power taking.As shown in Figure 5, less to bulk power grid power purchase power in micro-capacitance sensor 24 hours, namely Pgrid absolute value is less, shows that micro-capacitance sensor 24 hours total electricity to bulk power grid power purchase are less, embody this energy management method and can be optimized management to the energy of micro-capacitance sensor, realize micro-capacitance sensor economical operation.
Table 1 tou power price information
Period Rate period Simulation time (s)
7:00-8:00 Paddy electricity price section 0-2
8:00-9:00 Ordinary telegram valency section 2-4
9:00-12:00 High electricity price section 4-10
12:00-17:00 Ordinary telegram valency section 10-20
17:00-22:00 High electricity price section 20-30
22:00-23:00 Ordinary telegram valency section 30-32
23:00-7:00 Paddy electricity price section 32-48
Above the energy management method of a kind of storage of the grid-connected wind-light containing multiclass energy storage micro-capacitance sensor provided by the present invention is described in detail, apply specific case herein to set forth principle of the present invention and execution mode, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.

Claims (4)

1., containing an energy management method for the grid-connected wind-light storage micro-capacitance sensor of multiclass energy storage, it is characterized in that comprising the steps:
(1) high electricity price section, ordinary telegram valency section and paddy electricity price section was divided into according to electricity price information by 24 hours; And set the energy management Real-Time Scheduling cycle of micro-capacitance sensor central controller;
(2) in the Real-Time Scheduling running of micro-capacitance sensor, exerting oneself of Real-Time Monitoring wind power generation, photovoltaic generation, flow battery energy storage device, lithium battery energy storage battery device, and state-of-charge (State of charge, the SOC) value of monitoring energy storage device; Electricity price section residing for current time carries out Real-Time Scheduling for the operation of micro-capacitance sensor;
(3) Spot Price information is considered: at the energy management strategies of high electricity price section, wind power generation or photovoltaic generation form is preferentially utilized to power to load, if there is surplus power, be stored in energy storage device, if underpower, energy storage device is utilized to discharge to micro-capacitance sensor, if energy storage device discharge power is not enough, then by bulk power grid power purchase, to meet the needs that micro-capacitance sensor runs; At the energy management strategies of ordinary telegram valency section, wind power generation or photovoltaic generation form is preferentially utilized to power to load, judge that subsequent period is paddy electricity price section or high electricity price section, if subsequent period paddy electricity price section, then the energy management of micro-capacitance sensor ordinary telegram valency section adopts the energy management strategies of high electricity price section, if the high electricity price section of subsequent period, then the energy management of micro-capacitance sensor ordinary telegram valency section still adopts the energy management strategies of high electricity price section, and flow battery energy storage device and lithium battery energy storage battery device are charged, ensure that the SOC of two devices is in normal value; At the energy management strategies of paddy electricity price section, by meeting load electricity consumption to bulk power grid power purchase, and by bulk power grid power purchase, energy storage device is charged.
2. the energy management method of a kind of storage of the grid-connected wind-light containing multiclass energy storage micro-capacitance sensor according to claim 1, is characterized in that micro-capacitance sensor comprises the steps: at the energy management scheduling strategy of high electricity price section
A () detects the net load of micro-capacitance sensor, if the net load of micro-capacitance sensor is greater than 0, flow battery energy storage device is then preferentially utilized to discharge, to meet the net load demand of micro-capacitance sensor, if the discharge power of flow battery energy storage device can not meet service requirement, then met the net load demand of micro-capacitance sensor by the electric discharge of lithium battery energy storage battery device, if the discharge power of lithium battery energy storage battery device can not meet service requirement, then by meeting the net load demand of micro-capacitance sensor to bulk power grid power purchase;
If b the net load of () micro-capacitance sensor is less than 0, flow battery energy storage device is then preferentially utilized to charge, detect the net load demand whether flow battery energy storage rating of set meets micro-capacitance sensor, if meet, then charge according to net load determination flow battery energy storage device charge power, if do not meet, flow battery energy storage device charges with maximum charge power, micro-capacitance sensor central controller calculates remaining net load demand, judge whether the charge power of lithium battery energy storage battery device meets remaining net load demand, if meet, then charge according to the charge power of remaining net load demand determination lithium battery energy storage battery device, if do not meet, lithium battery energy storage battery device charges with maximum charge power, micro-capacitance sensor central controller judges whether photovoltaic generation exerts oneself, if, then limit Power operation is carried out to photovoltaic generation.
3. the energy management method of a kind of storage of the grid-connected wind-light containing multiclass energy storage micro-capacitance sensor according to claim 1, it is characterized in that micro-capacitance sensor is in the energy management strategies of paddy electricity price section, in paddy electricity price section micro-capacitance sensor, regenerative resource is not almost exerted oneself, while the electric energy mainly making full use of bulk power grid fully meets load electricity consumption, recover the SOC of flow battery energy storage device and lithium battery energy storage battery device to normal value.
4. the energy management method of a kind of storage of the grid-connected wind-light containing multiclass energy storage micro-capacitance sensor according to claim 1, is characterized in that micro-capacitance sensor comprises the steps: at the energy management strategies of ordinary telegram valency section
(1) if the subsequent period of this ordinary telegram valency section is the paddy electricity price section of micro-capacitance sensor, then the energy management of micro-capacitance sensor adopts the energy management strategies of high electricity price section, to reduce micro-capacitance sensor from the purchases strategies bulk power grid;
(2) if the subsequent period of this ordinary telegram valency section is the high electricity price section of micro-capacitance sensor, still adopt micro-capacitance sensor at the energy management strategies of high electricity price section, if micro-capacitance sensor has surplus power, be stored in flow battery energy storage device and lithium battery energy storage battery device, if microgrid power deficiency, utilize bulk power grid electric energy to charge to flow battery energy storage device and lithium battery energy storage battery device, need to ensure that the SOC of flow battery energy storage device and lithium battery energy storage battery device in micro-capacitance sensor is in normal value.
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