CN109449980A - A kind of active distribution network Optimization Scheduling of the pump-up power station containing seawater - Google Patents
A kind of active distribution network Optimization Scheduling of the pump-up power station containing seawater Download PDFInfo
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- CN109449980A CN109449980A CN201811433573.8A CN201811433573A CN109449980A CN 109449980 A CN109449980 A CN 109449980A CN 201811433573 A CN201811433573 A CN 201811433573A CN 109449980 A CN109449980 A CN 109449980A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The present invention relates to distribution network system research fields, more particularly, to a kind of active distribution network Optimization Scheduling of pump-up power station containing seawater, it include: the modeling of 1, seawater pump-up power station, seawater water-storage reservoir is subjected to equivalent transformation, and seawater hydroenergy storage station is modeled under water pump mode and power generation mode；2, the power distribution network economic load dispatching modeling of the pump-up power station containing seawater, based on the model of seawater pump-up power station, establishes the economic load dispatching model of power distribution network；3, grid structure and parameter based on power distribution network according to the seawater pump-up power station model of foundation and power distribution network economic load dispatching model, calculation optimization scheduling result, and export.Since coastal and island power distribution network and major network interconnection peak-valley difference are big, there is an urgent need to energy storage to be adjusted, and the present invention is highly suitable for the power distribution network of this area.The present invention is in the peak-valley difference for reducing power distribution network and major network interconnection, while improving the reliability of power distribution network, has preferable economy, has the wider scope of application.
Description
Technical field
The present invention relates to distribution network system research field, the active distribution network of specifically a kind of pump-up power station containing seawater optimizes
Dispatching method.
Background technique
With the exhaustion of fossil energy and the pollution of environment, the weight of clean energy resource and renewable energy increasingly by various countries
Depending on and development.But due to the randomness, fluctuation and uncontrollability of renewable energy, a high proportion of renewable energy access is coastal
With island power distribution network, deep effect will be brought to coastal and island power distribution network.How to guarantee coastal containing renewable energy and
The problem of island power distribution network economy and reliability become urgent need to resolve.
Currently, distribution stratum reticulare generally stabilizes the randomness and fluctuation of high proportion renewable energy with energy storage.And it draws water
Accumulation of energy has the advantages that the service life is long, capacity is big, starting speed is fast, flexible adjustment and operation expense are low, increasingly by weight
Depending on and development.It is compared with conventional pumped storage, middle-size and small-size seawater pump-up power station has the advantage that lower storage reservoir is ocean, does not need specially
Door is built；Middle-size and small-size seawater pump-up power station has supporting role to coastal and island power supply.Therefore, in matching containing renewable energy
Power grid layer, it is coastal and island distribution stratum reticulare high proportion renewable energy how research is stabilized by middle-size and small-size seawater pump-up power station
The peak-valley difference of fluctuation and load, improves the reliability and economy of power distribution network, has certain perspective and necessity.
Summary of the invention
The present invention proposes a kind of power distribution network economic load dispatching method of water-storage containing seawater, establishes and is suitable for taking out containing seawater
The power distribution network scheduling model of water accumulation of energy.The equivalent scheduling model of reservoir is initially set up；Propose a kind of seawater water-storage electricity
It stands the equivalent method in economic load dispatching；Finally, establishing the power distribution network economic load dispatching model of the hydroenergy storage station containing seawater；It is imitative
Very the result shows that coastal and island power distribution network reliability can be improved in this method, and have preferably in power distribution network scheduling aspect
Economic value.
Above-mentioned technical problem of the invention is mainly addressed by following technical proposals:
A kind of active distribution network Optimization Scheduling of the pump-up power station containing seawater, comprising the following steps:
Step 1, seawater pump-up power station models, and seawater water-storage reservoir is carried out equivalent transformation, and draw water storage to seawater
Energy power station is modeled under water pump mode and power generation mode, specifically:
Step 1.1, since seawater pump-up power station lower storage reservoir is ocean, it is defined as infinitely great reservoir, seawater pump-up power station is only
There is upper storage reservoir；The water and storage capacity ratio of reservoir are similar to the state-of-charge of energy-storage battery, as shown in formula (1)；
Wherein:
In formula: QupIt (t) is reservoir t period inventory；QmaxFor the storage capacity of reservoir；L is reservoir evaporation and permeability, similar electricity
The self-discharge rate of pond energy storage；qpumpIt (t) is the water flow velocity of t period water pump；qgen(t) be t period power generation mode when the hydraulic turbine water
Flow velocity；
Step 1.2, the model under turbine-generator units power generation mode is established, as shown in formula (3)；
Pgen(t)=ηgenρgh×qgen(t) (3)
In formula: PgenIt (t) is the power of t period seawater pump-up power station in generate mode；ηgenFor generator efficiency；ρ is
Density of sea water is worth for 1050kg/m3；G is acceleration of gravity, is worth for 9.8m/s2；H is head size；
Step 1.3, the model under turbine-generator units water pump mode is established, as shown in formula (4)；
ηpumpPpump(t)=ρ gh × qpump(t) (4)
In formula: ηpumpFor pump efficiency；PpumpIt (t) is power of the t period seawater pump-up power station under water pump mode；
Step 2, the power distribution network economic load dispatching modeling of the pump-up power station containing seawater is established based on the model of seawater pump-up power station
The economic load dispatching model of power distribution network, specifically: using economic optimum as target, objective function considers that distribution power purchase expense, seawater are taken out
Electric power storage station expense and micro-capacitance sensor cost model, shown in target function model such as formula (5)；
In formula: T be one a few days ago dispatching cycle when number of segment, being worth is 24；CseaIt (t) is t period seawater pump-up power station running cost
With；CmicIt (t) is t period micro-capacitance sensor operating cost；λ (t) is t period power distribution network power purchase expense；PmainIt (t) is t period power distribution network
Power purchase power；NILFor interruptible load number；cILIt (i) is i-th of interruptible load unit compensation price；PIL(i) it is i-th
Interruptible load；uIL(i, t) is the 0-1 state decision variable of i-th of interruptible load of t period, wherein 0 is interrupt, 1 is in not
It is disconnected；
Step 3, grid structure and parameter based on power distribution network are passed through according to the seawater pump-up power station model and power distribution network of foundation
Help scheduling model, calculation optimization scheduling result, and exports.
The advantages and positive effects of the present invention are: proposing one kind on the basis of establishing the equivalent scheduling model of reservoir and containing
The active distribution network Optimization Scheduling of seawater pump-up power station.Due to coastal and island power distribution network and major network interconnection peak-valley difference
Greatly, there is an urgent need to energy storage to be adjusted, and the present invention is highly suitable for the power distribution network of this area.The present invention is reducing power distribution network and master
The peak-valley difference of net interconnection while improving the reliability of power distribution network, has preferable economy, has wider applicable model
It encloses.
Detailed description of the invention
Attached drawing 1 is improvement IEEE-33 joint net frame figure of the invention.
Attached drawing 2 is situation 1 and 2 power distribution network of situation and major network interconnection optimum results comparison diagram.
Attached drawing 3 is method flow schematic diagram of the invention.
Specific embodiment
Below by example, and in conjunction with attached drawing, the technical solutions of the present invention will be further described.
Example:
A kind of active distribution network Optimization Scheduling of the pump-up power station containing seawater, comprising the following steps:
Step 1, seawater pump-up power station models, and seawater water-storage reservoir is carried out equivalent transformation, and draw water storage to seawater
Energy power station is modeled under water pump mode and power generation mode.
In this example, the parameter of the seawater pump-up power station of use is as shown in table 1.
1 seawater pump-up power station parameter of table
Step 2, the power distribution network economic load dispatching modeling of the pump-up power station containing seawater is established based on the model of seawater pump-up power station
The economic load dispatching model of power distribution network.
On the basis of step 1, power distribution network economic load dispatching model is established.Consider respectively in economic load dispatching model micro-capacitance sensor and
The operating cost model of interruptible load.
Step 3, grid structure and parameter based on power distribution network are passed through according to the seawater pump-up power station model and power distribution network of foundation
Help scheduling model, calculation optimization scheduling result, and exports.In the present embodiment, it is programmed using MATLAB, calls business software
Cplex is solved, and the power distribution network scheduling result of the pump-up power station containing seawater is obtained.
On the basis of step 1 and step 2, according to IEEE-33 joint net frame is improved, as shown in Figure 1.Improve IEEE-33
Joint net frame considers the access of micro-capacitance sensor and interruptible load respectively, and wherein the power purchase price of micro-capacitance sensor is as shown in table 2, can interrupt
Load parameter is as shown in table 3.Model is established with MATLAB, business solver Cplex is called to be solved.In order to more fully
Superiority of the invention is analyzed, situation 1 is optimum results of the present invention, and situation 2 is seawater pump-up power station, micro-capacitance sensor and can interrupt negative
Economic load dispatching before lotus access is as a result, situation 1 and situation 2 compare.Fig. 2 is power distribution network and major network in situation 1 and situation 2
The comparison of interconnection optimum results.Table 4 is the power distribution network operating cost optimum results comparison of situation 1 and situation 2.
2 micro-capacitance sensor power purchase price of table
3 interruptible load parameter of table
Power distribution network operating cost optimum results comparison in the case of 42 kinds of table
The power distribution network scheduling of the power distribution network Optimized Operation pump-up power station containing seawater that the present invention is mentioned as the result is shown in this example
Effect is better than conventional electrical distribution net.The present invention reduces power distribution network while reducing power distribution network and major network interconnection peak-valley difference
Overall running cost.
Embodiment belonging to the present invention be it is illustrative, without being restrictive, because the invention is not limited to be embodied
Embodiment described in mode, all other embodiment party obtained according to the technique and scheme of the present invention by those skilled in the art
Formula also belongs to the scope of protection of the invention.
Claims (1)
1. a kind of active distribution network Optimization Scheduling of pump-up power station containing seawater, comprising the following steps:
Step 1, seawater pump-up power station models, and seawater water-storage reservoir is carried out equivalent transformation, and to seawater water-storage electricity
It stands and is modeled under water pump mode and power generation mode, specifically:
Step 1.1, since seawater pump-up power station lower storage reservoir is ocean, infinitely great reservoir is defined as, on seawater pump-up power station only has
Reservoir；The water and storage capacity ratio of reservoir are similar to the state-of-charge of energy-storage battery, as shown in formula (1)；
Wherein:
In formula: QupIt (t) is reservoir t period inventory；QmaxFor the storage capacity of reservoir；L is reservoir evaporation and permeability, and similar battery stores up
The self-discharge rate of energy；qpumpIt (t) is the water flow velocity of t period water pump；qgen(t) be t period power generation mode when the hydraulic turbine water flow
Speed；
Step 1.2, the model under turbine-generator units power generation mode is established, as shown in formula (3)；
Pgen(t)=ηgenρgh×qgen(t) (3)
In formula: PgenIt (t) is the power of t period seawater pump-up power station in generate mode；ηgenFor generator efficiency；ρ is seawater
Density is worth for 1050kg/m3；G is acceleration of gravity, is worth for 9.8m/s2；H is head size；
Step 1.3, the model under turbine-generator units water pump mode is established, as shown in formula (4)；
ηpumpPpump(t)=ρ gh × qpump(t) (4)
In formula: ηpumpFor pump efficiency；PpumpIt (t) is power of the t period seawater pump-up power station under water pump mode；
Step 2, the power distribution network economic load dispatching modeling of the pump-up power station containing seawater, based on the model of seawater pump-up power station, establishes distribution
The economic load dispatching model of net, specifically: using economic optimum as target, objective function considers distribution power purchase expense, seawater pumped storage electricity
Expense of standing and micro-capacitance sensor cost model, shown in target function model such as formula (5)；
In formula: T be one a few days ago dispatching cycle when number of segment, being worth is 24；CseaIt (t) is t period seawater pump-up power station operating cost；
CmicIt (t) is t period micro-capacitance sensor operating cost；λ (t) is t period power distribution network power purchase expense；PmainIt (t) is the distribution online shopping of t period
Electrical power；NILFor interruptible load number；cILIt (i) is i-th of interruptible load unit compensation price；PILIt (i) can for i-th
Interruptible load；uIL(i, t) is the 0-1 state decision variable of i-th of interruptible load of t period, wherein 0 is interrupt, 1 is in not
It is disconnected；
Step 3, grid structure and parameter based on power distribution network, according to the seawater pump-up power station model of foundation and power distribution network economy tune
Model, calculation optimization scheduling result are spent, and is exported.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111799848A (en) * | 2020-07-16 | 2020-10-20 | 南方电网调峰调频发电有限公司 | Power system node electricity price evaluation method containing pumped storage unit under market environment |
| CN111817320A (en) * | 2020-06-04 | 2020-10-23 | 国网宁夏电力有限公司经济技术研究院 | Pumped storage power station peak regulation capacity analysis method considering evaporation influence |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1982703A (en) * | 2005-11-18 | 2007-06-20 | 通用电气公司 | System and method for integrating wind power generation and pumped hydro energy storage systems |
| CN102780235A (en) * | 2012-08-02 | 2012-11-14 | 南通大学 | Pumped storage power station dispatching method on basis of genetic algorithm |
| CN108667077A (en) * | 2018-04-10 | 2018-10-16 | 燕山大学 | A kind of wind storage association system Optimization Scheduling |
-
2018
- 2018-11-28 CN CN201811433573.8A patent/CN109449980A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1982703A (en) * | 2005-11-18 | 2007-06-20 | 通用电气公司 | System and method for integrating wind power generation and pumped hydro energy storage systems |
| CN102780235A (en) * | 2012-08-02 | 2012-11-14 | 南通大学 | Pumped storage power station dispatching method on basis of genetic algorithm |
| CN108667077A (en) * | 2018-04-10 | 2018-10-16 | 燕山大学 | A kind of wind storage association system Optimization Scheduling |
Non-Patent Citations (2)
| Title |
|---|
| NING LIANG等: "Two-Stage Coordinate Optimal Scheduling of Seawater Pumped Storage in Active Distribution Networks", 《SUSTAINABILITY》 * |
| TAO MA等: "Pumped storage-based standalone photovoltaic power generation system: Modeling and techno-economic optimization", 《APPLIED ENERGY》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111817320A (en) * | 2020-06-04 | 2020-10-23 | 国网宁夏电力有限公司经济技术研究院 | Pumped storage power station peak regulation capacity analysis method considering evaporation influence |
| CN111799848A (en) * | 2020-07-16 | 2020-10-20 | 南方电网调峰调频发电有限公司 | Power system node electricity price evaluation method containing pumped storage unit under market environment |
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