CN105205552B - A kind of independent new energy hybrid power system Method for optimized planning - Google Patents
A kind of independent new energy hybrid power system Method for optimized planning Download PDFInfo
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Abstract
The invention discloses a kind of independent new energy hybrid power system Method for optimized planning, first according to power producing characteristics such as wind-powered electricity generation, photovoltaic, the intermittence of small power station, randomness, complementarity, establish each grid-connected power generation system power output model and overall cost model；The meteorological, resource data secondly based on hybrid power system region typical case's history using the proportion relation between genetic algorithm optimization new energy, and then obtains N kind power supply capacity configuration pre-program；Situations such as finally providing reasonable energy management strategies, pushing optimum management, and establish and distribute appraisement system rationally accordingly, assess the reliability, economy and energy utilization rate of N kind pre-program.The method of the present invention provides certain reference for the planning construction and reasonable disposition of the new energy hybrid power system of micro-capacitance sensor.
Description
Technical field
The invention belongs to technical field of power systems, are related to a kind of independent new energy hybrid power system planning technology.
Background technique
It is also increasing for the demand of the energy with the continuous development of global economy, energy crisis and environmental protection
Global extensive attention is received, therefore, new energy power generation technology has obtained further investigation and popularization and application both domestic and external.
New energy power generation technology adaptation to local conditions can make full use of local renewable resource, including solar energy, wind energy, life
Substance can wait, and realize preferable economic benefit and social benefit.Compared with conventional Power Generation Mode, money is can be improved in hybrid power system
Source utilization rate, main feature have：
Generating equipment is installed on the spot, close to power load end and user terminal；
Power system capacity is generally smaller, convenient for powering to isolated areas such as island, outlying pastoral area, remote mountain areas；
It can be run there are many mode, technical ability is run as independent micro-grid, can be also incorporated into the power networks with power grid；
Majority uses renewable energy power generation, makes full use of new energy, and generate electricity source clean, low in the pollution of the environment.
It is not difficult to find out that adaptation to local conditions build the new energy hybrid power system such as wind-powered electricity generation solar power generation, both met at present
China builds the requirements of the times of economical and environment-friendly society, and the one kind for solving the electricity consumptions problems such as island, remote districts has efficacious prescriptions
Formula.
Summary of the invention
Technical problem：The present invention provides a kind of realize and matches to the optimization of new energy hybrid power system generation of electricity by new energy amount
It sets, the stored energy capacitance configured needed for reducing improves the independent new energy hybrid power system of program results adaptability and practicability
Method for optimized planning.
Technical solution：Independent new energy hybrid power system Method for optimized planning of the invention, includes the following steps：
Step 1：Pickup area history meteorological data, including photometric data, air speed data and water flow data establish each new energy
Source electricity generation system power output model and overall cost model；
Step 2：Each grid-connected power generation system power output model output according to obtained in the step 1 goes out force data, with
The minimum objective function of energy storage configuration capacity optimizes calculating using genetic algorithm, obtains the proportion optimizing between new energy
Relationship, and then obtain N kind power supply capacity configuration pre-program；
Step 3：Based on the energy management strategies of energy storage device and diesel engine unit electrical generation components each in micro-capacitance sensor, new energy with
Power supply coordinated scheme and historical data between energy storage device, diesel engine, N kind power configuration obtained in traversal step 2 are pre-
Scheme is selected, simulative optimization scheduling is carried out, obtains the indices of different pre-programs, including load power loss rate LOLP, abandonment are abandoned
Light rate LOEP and operating cost STC；
Step 4：Appraisement system, the index of each pre-program obtained in appraisal procedure 3, specific method are distributed in foundation rationally
For：It is that indices assign weight coefficient according to difference of importance between user demand and index, the comprehensive of each pre-program is calculated
Evaluation index value is closed, then each pre-program is ranked up according to the comprehensive evaluation index value, by the most preceding scheme that sorts
As power configuration proposed projects.
Further, in the method for the present invention, the grid-connected power generation system power output model in step 1 includes blower power output mould
Type, photovoltaic power output model, small power station's power output model；The overall cost model includes blower, photovoltaic system, small hydropower station, storage
The computation model of energy system and the investment construction cost of diesel-driven generator, operation expense.
Further, in the method for the present invention, in step 2, the method for obtaining N kind power supply capacity configuration pre-program is：Base
The power generating value needed for each grid-connected power generation system obtained as the proportion optimizing relationship of new energy and equipment go out force parameter, choosing
Take in each generating system equipment model list with the highest blower of power generating value matching degree, photovoltaic panel, water wheels needed for the electricity generation system
Machine, the model of energy storage device and diesel engine and its unit quantity.
Further, in the method for the present invention, the energy management strategies in step 3 include each energy storage device and diesel engine unit
Energy management strategies, new energy consumption priority and power supply fit system.
Further, in the method for the present invention, that establishes in step 4 distributes appraisement system rationally, and evaluation index includes into
This index, reliability index, utilization of new energy resources rate index.
Further, in the method for the present invention, in step 3, the energy management strategies of each energy storage device electrical generation components include：
Charging strategy：When the generated output of new energy hybrid power system, i.e. blower, photovoltaic, water power power output summation PWT+
PPV+PHTGreater than load power PLoadWhen, remaining electric energy charges to energy storage, until meeting following one of two things：Energy storage SOC
Reach upper limit value SOCmax；The generated output of independent micro-grid is less than or equal to load power；
Electric discharge strategy：When the generated output of new energy hybrid power system is less than load power, put using energy storage device
Electricity meets load notch, is powered by energy storage device to independent micro-grid, until meeting one of following four kinds of situations：
Energy storage SOC reaches the lower limit value SOC of settingmin；
The sum of wind-powered electricity generation, photovoltaic, water power generated output meet load power demand；
The sum of wind-powered electricity generation, photovoltaic, water power generated output meet load power demand and charge to energy storage；
The energy management strategies of diesel engine unit electrical generation components include：
It pays the utmost attention to energy storage system discharges and supplies load notch, when energy-storage system is not achieved when electric discharge requires using diesel engine
Group power supply；When required generated output is greater than diesel engine starting power PdminWhen, diesel engine could start, and diesel engine is according to reality
Electrical demand starts one by one, to guarantee diesel engine economical operation；To avoid diesel engine start and stop that energy consumption and equipment is brought to consume,
Set diesel engine minimum runing time；If the not up to minimum runing time, continues to run diesel-driven generator；
Power supply coordinated scheme between the new energy and energy storage device, diesel engine is：Dissolved first when electric power deficiency wind,
Light, water power output, insufficient electric power are provided using auxiliary generating plant；Excess power is received using energy storage charging when power surplus；It is auxiliary
Helping generating equipment includes energy storage device and diesel engine, and auxiliary generating plant powering mode includes energy-storage system charge mode, energy storage
The independently-powered mode of system, energy storage/diesel engine unit cooperate with powering mode；
When following two kinds of electric power deficiencies situations occur for the moment, using the independently-powered mode of energy-storage system：Electric power is in shortage
PbNo more than energy storage for power supply peak power output PrbatAnd energy storage device is with power PbAfter the continuous discharge unit time, energy storage device
State-of-charge SOC is not less than state-of-charge lower limit value SOCmin, between time of the unit time between the adjacent data point in front and back two
Every needing to set according to user；Electric power P in shortagebGreater than energy storage peak power output Prbat, but-Pb-PrbatLess than diesel engine
Startup power Pdmin；
Other electric power deficiency situations cooperate with powering mode using energy storage/diesel engine；Using energy storage/diesel engine collaboration power supply mould
When formula, energy storage for power supply power byIt is calculated, wherein ERbat, NIt is specified for energy-storage system
Capacity, t are the unit time；Diesel engine unit output power is by Pd=-Pb-PbatIt is calculated；
As power surplus amount PmNo more than energy storage charging maximum power and energy storage is with power PmAfter the charging last unit time,
Its state-of-charge SOC is not higher than state-of-charge upper limit value SOCmaxWhen, using energy storage charge mode；In the case of remaining power surplus,
Excess power charges to energy storage charge state to energy storage device and reaches upper limit value SOCmaxAfterwards, remaining surplus electricity is given up.
Further, in the method for the present invention, the detailed process in step 4 is：All pre-selections that will be traversed in step 3
The load power loss rate LOLP of scheme, abandonment abandon light rate LOEP, operating cost STC is normalized respectively, obtain STC normalizing
Change value STCnor, LOEP normalized value LOEPnor, LOLP normalized value LOLPnor, dimension impact is removed, then according to user demand
And difference of importance is respectively that These parameters assign weight coefficient ω between indexSTC、ωLOEP、ωLOLP, the weight coefficient is positive
Value, and meet ωSTC+ωLOEP+ωLOLP=1, wherein ωSTCFor STC weight coefficient, ωLOEPFor LOEP weight coefficient, ωLOLP
For LOLP weight coefficient；
By CEI=ωSTC×STCnor+ωLOEP×LOEPnor+ωLOLP×LOLPnorComprehensive evaluation index value is calculated
CEI, finally according to the comprehensive evaluation index value CEI of each pre-program by being ranked up from small to large, the forward scheme that sorts is
Power configuration proposed projects.
For the deficiency of existing planning technology, the power generation that the present invention has comprehensively considered distributed new generating equipment is special
Property, and the actual conditions of different zones natural resources and weather environment are combined, carry out wind, light, water, storage, bavin to adaptation to local conditions
Reasonable disposition.The present invention determines the suitable allocation ratio of items new energy on the basis of analyzed area Natural Resources,
It provides pre-program and establishes appraisement system and rationally assessed, obtain adapting to local wind, light, water resources condition and distribute rationally
Scheme provides certain instruction for new energy hybrid power system planning construction.
Beneficial effect：Compared with prior art, the present invention having the following advantages that：
(1) generation of electricity by new energy amount configuration in the prior art in hybrid power system planning is general to be manually set, and is lacked pair
Complementary consideration between different new energy；Adaptation to local conditions of the present invention, in conjunction with the reality of different zones natural resources and weather environment
Border situation considers the complementary characteristic between different new energy, is closed by the proportion between genetic algorithm optimization generation of electricity by new energy amount
System, realizes and distributes rationally to new energy hybrid power system generation of electricity by new energy amount, the stored energy capacitance configured needed for reducing；
(2) single optimal result is generally provided by intelligent algorithm in the prior art, and is suffered from physical planning
The limitation of built environment, capital fund etc. and constrain the application of this method；The present invention by provide multiple pre-programs and its
Corresponding index facilitates user to be selected according to physical planning situation scheme as a result, intuitive display, so that Scheme Choice is more
With diversity, the different planning environment of energy flexible adaptation improves the adaptability and practicability of program results；
(3) often power configuration scheme is selected according to single evaluation index in the prior art, as NREL is tested
The Homer software of room；The present invention can flexibly adjust while providing power configuration pre-program according to the actual demand of planning
The weight coefficient of whole difference index comprehensively considers many index to meet the construction demand of new energy hybrid power system, to divide
The planning of cloth new energy hybrid power system provides certain reference.
Detailed description of the invention
Fig. 1 is the method for the present invention flow chart.
Fig. 2 is that simulative optimization provided by the invention dispatches general flow chart.
Specific embodiment
Specific embodiments of the present invention will be described in further detail with reference to the accompanying drawing.
The present invention proposes a kind of independent new energy hybrid power system planing method, has comprehensively considered distributed new hair
The power generation characteristics of electric equipment, and the actual conditions of different zones natural resources and weather environment are combined, carry out to adaptation to local conditions
Wind, light, water, storage, bavin reasonable disposition, multiple pre-programs are provided rather than single optimal result, so that Scheme Choice has more
There is diversity, the different planning environment of energy flexible adaptation improves the adaptability and practicability of program results.In addition, the present invention exists
While providing power configuration pre-program, moreover it is possible to the requirement of corresponding different evaluation index carries out preference ordering to pre-program,
Certain reference is provided for the planning of distributed new hybrid power system.
The main thought of the present embodiment is contributed according to wind-powered electricity generation, photovoltaic, the intermittence of small power station, randomness, complementarity etc.
Characteristic establishes each grid-connected power generation system power output model and construction maintenance cost model；Secondly based on where hybrid power system
Region typical case's history meteorology, resource data using the proportion relation between genetic algorithm optimization new energy, and then obtain N kind electricity
Source capacity configuration pre-program；Reasonable energy management strategies are finally provided, as shown in Fig. 2, pushing optimum management, and are established
Situations such as distributing appraisement system rationally accordingly, assessing the reliability, economy and energy utilization rate of N kind pre-program, realizes
To the reasonable disposition and optimization planning of the auxiliary generating plants such as distributed new mixed power generation equipment, energy storage and diesel engine.
In embodiments of the present invention, detailed process is as follows for step 1：
Electricity generation system power output model includes blower power output model, photovoltaic power output model, small power station's power output model.
(1) wind-power electricity generation model.Usual situation, the output power P of blowerwind(unit：W) with wind speed v (unit：m/s)
Relationship be：
Wherein, PrwindFor blower rated power (unit：W)；vciWind speed (unit is cut for blower：m/s)；VrFor blower volume
Determine wind speed (unit：m/s)；VcoFor blower cut-out wind speed (unit：m/s)；ε is earth's surface Rough factor, general value 0.125~
0.5, when ground is open, take 0.143.Also,vmFor height hmAirspeedometer measurement wind speed
Value.
(2) photovoltaic power generation model.The output power from photovoltaic cells PPVIt is represented by：
Wherein, PPVRFor the rated power (unit of photovoltaic module：kW)；GTFor amount of radiation (unit under actual conditions： kW/
m2)；Amount of radiation (unit when being 25 DEG C：kW/m2)；fPVFor impact factor constant, usually take between 0.8~0.95；αP
For the factor (unit is determined in advance：%/DEG C)；TC, SFor 25 DEG C of component of normal temperature (unit：℃)； TcFor component actual temperature
It is worth (unit：℃)；TaFor environment temperature (unit：℃)；TNOFor constant, (unit between 42 DEG C~46 DEG C is usually taken：℃).
(3) hydroelectric generation model.Under normal conditions, the output power P of Hydropower UnitHydIt is represented by：
PHyd=9.81 η QH=AQH
H=Zu-Zd-ΔH
η=η1η2η3
Wherein, Q is the diversion and power flow (unit of the power station hydraulic turbine：m3/s)；H is power station net water head (unit：
m)；ZuFor power station upstream water level (unit：m)；ZdFor draft tube Outlet Section water level (unit：m)；Δ H is power station head damage
Lose (unit：M), it can be ignored in calculating process；η is power station efficiency, η1, η2, η3Respectively turbine efficiency, generator effect
Rate, set drive efficiency.
(4) battery model.The state-of-charge of each moment battery is represented by：
Wherein, ηbatFor the efficiency for charge-discharge of battery；Δ E (t) is the accumulator cell charging and discharging amount of t moment；ErbatFor electric power storage
The rated capacity in pond.
In the planning of independent new energy hybrid power system, comprehensive totle drilling cost is to measure investment construction and operation and maintenance warp
The important indicator of Ji property, and an important factor for influence decision.Plan that the synthesis totle drilling cost computation model in the time limit includes following
Part：
(1) wind power generating set, wind power generating set installation tower, photovoltaic system, the hydraulic turbine, energy storage device and diesel generation
The purchase and installation price of machine etc.；(2) it plans in the time limit, wind power generating set, installation tower, photovoltaic system, energy storage device etc.
Maintenance cost；
(3) it plans in the time limit, the operation and maintenance expense of diesel-driven generator；
(4) it plans in the time limit, fuel cost consumed by diesel-driven generator.
Assuming that the microgrid planning and designing time limit is Y, overall cost computation model：
Cost(numWT, numPV, numHT, numbat)
=CostWT+CostPV+CostHT+Costbat+Costd
=numWT×(CWT+MWT, d)+numPV×(CPV+MPV, d)+numHT×(CHT+MHT, d)
+numbat×(Cbat+MBat, d)+[numd×(Cd+MD, d)+Cfuel]
Wherein, CostiFor the overall cost of electricity generation system i；CiFor the equipment investment construction cost of electricity generation system i；It always discounts volume for the Y equipment operation maintenance expense of electricity generation system i, Mi
For current operation and maintenance cost；numiFor the configuration quantity of equipment i；Diesel engine fuel oil cost is Cfuel=Prfuel×(A×PD+
B×PRD), wherein PrfuelFor fuel price；A=0.246L/kWh, B=0.0845L/kWh are cost of electricity-generating curve, PD、PRD
The respectively real output and rated power of diesel-driven generator.
Pay attention to：I can indicate WT (wind-powered electricity generation), PV (photovoltaic), HT (water power), bat (energy storage), d (diesel engine).
In embodiments of the present invention, detailed process is as follows for step 2：
The target of this step is that optimization new energy matches ratio, so that the energy storage of configuration is minimum, so that it is pre- to provide power configuration
Select scheme.
(1) determination of the new energy with ratio and stored energy capacitance.
Blower, photovoltaic obtained in step 1, water power and load are gone out to force data per hour to obtain respectively divided by respective mean value
To treated, blower, photovoltaic, water power and load numerical value hourly are respectively W (t), S (t), H (t) and L (t), and γ is new energy
Source power generation ratio, a1、a2The respectively allocation ratio of photovoltaic, water power, therefore power mismatch value hourly is represented by：
Δ (t)=γ [a1S(t)+a2H(t)+(1-a1-a2)W(t)]-L(t)
Improve traditional stored energy capacitance calculation method：
Wherein, H_store (t) is the electricity of t moment energy storage device storage.H_store (t) and mint′≥tH_store
The difference of (t '), which is reflected, needs the energy of externally release storage in any t moment, as long as that is, meeting any time energy storage
Device is all not in negative value in external electric discharge；Coefficient lambda expression considers maximum depth of discharge.
A by genetic algorithm optimizing, after being optimized1、a2Value and corresponding energy storage configuring condition.
(2) determination of power configuration pre-program.
By a obtained in the previous step1、a2The power generating value of blower, photovoltaic, water power, new energy power generating value and energy storage volume can be obtained in value
Constant volume multiplied by obtained after spreading coefficient matrix T=[0.8,1,1.2] wind power output extension battle array A, photovoltaic power output extension battle array B,
Water power power output extension battle array C chooses suitable device model further according to each device model table, obtains corresponding number of devices, is formed
Power configuration pre-program.
In embodiments of the present invention, detailed process is as follows for step 3：
The main thought of energy management is to dissolve wind, light, water power output first, and deficiency uses energy storage, then diesel engine, finally
Cutting load；Preferential consumption scene power output, remaining to charge to energy storage, then light is abandoned in abandonment.
Energy management strategies include the energy management strategies of each energy storage device and diesel engine unit, new energy consumption priority
And power supply fit system, simulative optimization dispatch general flow chart such as attached drawing 2.
As shown in Fig. 2, by cycle calculations, N kind power configuration pre-program, available all pre-programs are traversed
Load power loss rate, abandonment abandon light rate, Unit Commitment number and each section overall cost.
In embodiments of the present invention, detailed process is as follows for step 4：
Foundation distributes appraisement system rationally accordingly, and evaluation index includes the load power loss rate of power configuration pre-program
Light rate LOEP, schemes synthesis cost STC are abandoned in LOLP, abandonment, are referred to according to the items of all pre-programs traversed in step 3
Mark, and indices are normalized, dimension impact is removed, then according to difference of importance between user demand and index
Weight coefficient is assigned for indices, comprehensive evaluation index value is calculated, finally according to the comprehensive evaluation index of each pre-program
Value is ranked up.
Finally it should be noted that：The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, to the greatest extent
Invention is explained in detail referring to above-described embodiment for pipe, those of ordinary skills in the art should understand that：Still
Can with modifications or equivalent substitutions are made to specific embodiments of the invention, and any modification without departing from spirit of that invention or
Person's equivalent replacement should all cover in claims of the invention.
Claims (7)
1. a kind of independent new energy hybrid power system Method for optimized planning, which is characterized in that this approach includes the following steps：
Step 1：Pickup area history meteorological data, including photometric data, air speed data and water flow data establish each new energy hair
Electric system power output model and overall cost model；
Step 2：Each grid-connected power generation system power output model output according to obtained in the step 1 goes out force data, with energy storage
The minimum objective function of configuration capacity optimizes calculating using genetic algorithm, obtains the proportion optimizing relationship between new energy,
And then obtain N kind power supply capacity configuration pre-program；
Step 3：Based on the energy management strategies of energy storage device and diesel engine unit electrical generation components each in micro-capacitance sensor, new energy and energy storage
Power supply coordinated scheme and historical data between equipment, diesel engine, the configuration of N kind power supply capacity obtained in traversal step 2 are pre-
Scheme is selected, simulative optimization scheduling is carried out, obtains the indices of different pre-programs, including load power loss rate LOLP, abandonment are abandoned
Light rate LOEP and operating cost STC；
Step 4：Appraisement system, the index of each pre-program obtained in appraisal procedure 3 are distributed in foundation rationally, and specific method is：
It is that indices assign weight coefficient according to difference of importance between user demand and index, the synthesis that each pre-program is calculated is commented
Then valence index value is ranked up each pre-program according to the comprehensive evaluation index value, will the most preceding scheme of sequence as
Power configuration proposed projects.
2. independent new energy hybrid power system Method for optimized planning as described in claim 1, which is characterized in that the step
Grid-connected power generation system power output model in 1 includes blower power output model, photovoltaic power output model, small power station's power output model；It is described
Overall cost model includes the investment construction cost of blower, photovoltaic system, small hydropower station, energy storage device and diesel-driven generator, fortune
The computation model of row maintenance cost.
3. independent new energy hybrid power system Method for optimized planning as described in claim 1, which is characterized in that the step
In 2, the method for obtaining N kind power supply capacity configuration pre-program is：It is each new based on being obtained by the proportion optimizing relationship of new energy
Power generating value needed for energy electricity generation system and equipment go out force parameter, choose in each generating system equipment model list with the power generation
The model and its unit number of the highest blower of power generating value matching degree, photovoltaic panel needed for system, the hydraulic turbine, energy storage device and diesel engine
Amount.
4. independent new energy hybrid power system Method for optimized planning as described in claim 1, which is characterized in that the step
Energy management strategies in 3 include the energy management strategies of each energy storage device and diesel engine unit, new energy consumption priority and
Power supply fit system.
5. independent new energy hybrid power system Method for optimized planning as described in claim 1, which is characterized in that the step
That establishes in 4 distributes appraisement system rationally, and evaluation index includes the indicator of costs, reliability index, utilization of new energy resources rate index.
6. the independent new energy hybrid power system Method for optimized planning as described in claim 1,2,3,4 or 5, feature exist
In in the step 3, the energy management strategies of each energy storage device electrical generation components include：
Charging strategy：When the generated output of new energy hybrid power system, i.e. blower, photovoltaic, water power power output summation PWT+PPV+PHT
Greater than load power PLoadWhen, remaining electric energy charges to energy storage, until meeting following one of two things：Energy storage SOC reaches
Upper limit value SOCmax；The generated output of independent micro-grid is less than or equal to load power；
Electric discharge strategy：When the generated output of new energy hybrid power system is less than load power, come using energy storage device electric discharge
Meet load notch, is powered by energy storage device to independent micro-grid, until meeting one of following three situation：
Energy storage SOC reaches the lower limit value SOC of settingmin；
The sum of wind-powered electricity generation, photovoltaic, water power generated output meet load power demand；
The sum of wind-powered electricity generation, photovoltaic, water power generated output meet load power demand and charge to energy storage；
The energy management strategies of diesel engine unit electrical generation components include：
It pays the utmost attention to energy storage device electric discharge and supplies load notch, supplied when energy storage device is not achieved when electric discharge requires using diesel engine unit
Electricity；When required generated output is greater than diesel engine starting power PdminWhen, diesel engine could start, and diesel engine is according to practical electricity
Demand starts one by one, to guarantee diesel engine economical operation；To avoid diesel engine start and stop that energy consumption and equipment is brought to consume, setting
Diesel engine minimum runing time；If the not up to minimum runing time, continues to run diesel-driven generator；
Power supply coordinated scheme between the new energy and energy storage device, diesel engine is：Dissolved first when electric power deficiency wind, light,
Water power output, insufficient electric power are provided using auxiliary generating plant；Excess power is received using energy storage charging when power surplus；Auxiliary hair
Electric equipment includes energy storage device and diesel engine, and auxiliary generating plant powering mode includes energy storage device charge mode, energy storage device
Independently-powered mode, energy storage/diesel engine unit cooperate with powering mode；
When following two kinds of electric power deficiencies situations occur for the moment, using the independently-powered mode of energy storage device：Electric power is in shortage | Pb| no
Greater than energy storage for power supply peak power output PrbatAnd energy storage device is with power | Pb| after the continuous discharge unit time, energy storage device lotus
Electricity condition SOC is not less than state-of-charge lower limit value SOCmin, between time of the unit time between the adjacent data point in front and back two
Every needing to set according to user；Electric power is in shortage | Pb| it is greater than energy storage peak power output Prbat, but | Pb|-PrbatLess than diesel oil
Machine startup power Pdmin；
Other electric power deficiency situations cooperate with powering mode using energy storage/diesel engine；Powering mode is cooperateed with using energy storage/diesel engine
When, energy storage for power supply power byIt is calculated, wherein Erbat,NFor the specified appearance of energy storage device
Amount, t are the unit time；Diesel engine unit output power is by Pd=| Pb|-PbatIt is calculated；
As power surplus amount PmNo more than energy storage charging maximum power and energy storage is with power PmAfter the charging last unit time, lotus
Electricity condition SOC is not higher than state-of-charge upper limit value SOCmaxWhen, using energy storage charge mode；It is superfluous in the case of remaining power surplus
Electric power charges to energy storage charge state to energy storage device and reaches upper limit value SOCmaxAfterwards, remaining surplus electricity is given up.
7. the independent new energy hybrid power system Method for optimized planning as described in claim 1,2,3,4 or 5, feature exist
In the detailed process in the step 4 is：By the load power loss rate LOLP of all pre-programs traversed in step 3, abandon
Wind abandons light rate LOEP, operating cost STC is normalized respectively, obtains STC normalized value STCnor, LOEP normalized value
LOEPnor, LOLP normalized value LOLPnor, dimension impact is removed, is then distinguished according to difference of importance between user demand and index
Weight coefficient ω is assigned for These parametersSTC、ωLOEP、ωLOLP, the weight coefficient is positive value, and meets ωSTC+ωLOEP+
ωLOLP=1, wherein ωSTCFor STC weight coefficient, ωLOEPFor LOEP weight coefficient, ωLOLPFor LOLP weight coefficient；
By CEI=ωSTC×STCnor+ωLOEP×LOEPnor+ωLOLP×LOLPnorComprehensive evaluation index value CEI is calculated, most
Afterwards according to the comprehensive evaluation index value CEI of each pre-program by being ranked up from small to large, the forward scheme that sorts is matched for power supply
Set proposed projects.
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| CN105978025A (en) * | 2016-06-07 | 2016-09-28 | 北京能高自动化技术股份有限公司 | Microgrid management system |
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