CN111917137A - Regulation and control method for multiple distributed energy sources in regional power grid - Google Patents

Regulation and control method for multiple distributed energy sources in regional power grid Download PDF

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CN111917137A
CN111917137A CN202010558776.0A CN202010558776A CN111917137A CN 111917137 A CN111917137 A CN 111917137A CN 202010558776 A CN202010558776 A CN 202010558776A CN 111917137 A CN111917137 A CN 111917137A
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power
energy
distributed
regional
power supply
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吴鸣
盛万兴
李洋
季宇
刘海涛
郑楠
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
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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
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • 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
    • H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0073—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source when the main path fails, e.g. transformers, busbars
    • 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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • 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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  • Power Engineering (AREA)
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Abstract

A regulation and control method for multiple distributed energy resources in a regional power grid is provided. The method comprises the steps of firstly, accurately collecting the load condition of the power supply area of the regional power grid, and receiving the electric energy output by each type of distributed power supply in the power supply area of the regional power grid and the operation condition data of each type of distributed power supply in real time; and then storing the electric energy generated by the distributed power supply according to the energy utilization requirement in the area and the power supply condition of the area power grid, or releasing the electric energy stored in the energy storage power station to provide the electric energy for users in the area power grid. Therefore, the invention can improve the safety and reliability of energy supply, improve the energy utilization efficiency, optimize and adjust the energy structure, balance the peak-valley difference of urban energy load and reduce the environmental pollution related to energy.

Description

Regulation and control method for multiple distributed energy sources in regional power grid
Technical Field
The invention relates to a regional power grid system, in particular to a regulation and control method for multiple distributed energy resources in a regional power grid.
Background
Renewable energy sources such as wind power, photovoltaic and the like are widely concerned by countries in the world due to the characteristics of environmental friendliness, renewability and the like. However, the working state is greatly influenced by environmental factors, and the uncertainty of the working state as the primary energy source has certain influence on the operation and the power quality of the power system. How to alleviate the fluctuation of the distributed energy sources, especially renewable distributed energy sources, in the regional power grid is a key in the regional power grid scheduling technology. In the application of the regional power grid, the output scale of the distributed power supply is limited because each distributed power supply cannot be regulated to reach the required stability. Even this may cause a more severe wind and light abandonment phenomenon.
The Distributed Energy System (DES) is connected to a power grid and a gas grid to establish an energy network, and regional interconnection of various energy sources can be realized. The system is also called a Distributed Energy Network System (DENS), and a certain autonomous scheduling regulation and control strategy can be adopted in a network system of the DENS to realize information-energy cooperative control, so that the stability, the economy and the environmental benefit of the system are improved.
However, in the prior art, only several factors of controllable power supplies, fixed loads and energy storage facilities of each distributed energy system are generally considered when determining the scheduling policy, and the scheduling method cannot adjust the scheduling policy accordingly according to the flexibly changing loads in the whole distributed energy network system. In addition, due to the fact that scheduling has hysteresis relative to real-time load of a power grid, comprehensive utilization efficiency of energy in the distributed energy network system is low, and accuracy of regulation is not high.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a regulation and control method for various distributed energy sources in a regional power grid. Different distributed power supplies alternate to supply power to make up for the deficiency, so that the invention can better meet the power load requirement and ensure the safe and stable operation of the power grid. The invention combines the production and consumption of energy sources together, directly supplies energy to users, and the surplus electric energy is convenient to realize various energy requirements of cold, hot and other users through a distributed renewable energy system, thereby further improving the comprehensive utilization efficiency of the energy sources. The invention specifically adopts the following technical scheme.
Firstly, in order to achieve the above purpose, a regulation and control method for multiple distributed energy resources in a regional power grid is provided, which comprises the following steps: the method comprises the following steps that firstly, the load condition of a power supply region of the regional power grid is accurately collected; wherein, the load condition comprises real-time load of the power supply region of the regional power grid and average load of the power supply region of the regional power grid in different periods of time in the last year. And secondly, receiving the electric energy output by each type of distributed power supply in the power supply region of the regional power grid and the operation condition data of each type of distributed power supply in real time. And thirdly, storing the electric energy generated by the distributed power supply according to the energy demand of the users in the regional power grid and the power supply condition of the regional power grid, or releasing the electric energy stored in the energy storage power station to provide the electric energy for the users in the regional power grid.
Optionally, in the third step, when the total output power output by the distributed power supply reaches the maximum value and still cannot meet the energy consumption requirement of the user in the regional power grid, the energy storage power station is controlled to output electric energy to fill the shortage of the load requirement; or the control unit is further used for controlling the energy storage power station to output electric energy to fill the shortage of the load demand under the condition that the running conditions of the distributed power supplies of various types are not good enough and on the premise that the energy storage power station is ensured to have set allowance; and when the total output power output by the distributed power supply exceeds the energy utilization requirement of users in the regional power grid, controlling the energy storage power station to store the electric energy generated by the distributed power supply.
Optionally, in the above method for regulating and controlling multiple distributed energy sources in a regional power grid, the distributed power sources included in the regional power grid include: any one or combination of a wind power generator, a photovoltaic array, hydroelectric power, a biomass power generation device and a tidal power generation device.
Optionally, in the above method for regulating and controlling multiple distributed energy resources in a regional power grid, the third step includes: step C1, acquiring data of various types of distributed power supplies in the regional power grid, including the total installation number n of the wind driven generators1Total number of installations n of photovoltaic array2Total number n of small hydropower installations3Whether or not the biomass power generation device is installed n4Whether or not tidal power is installed n5Whether the mark and the combined cooling, heating and power supply are installed or not6Also including the overall cost C of each wind turbineWTAnd the comprehensive cost C of each group of photovoltaic arraysPVTotal cost per unit capacity of photovoltaic cell cpvTotal capacity p of each group of photovoltaic arrayspvAnd the comprehensive cost C of each small hydropower stationSHAnd the comprehensive cost C of biomass power generationBPAnd the comprehensive cost C of tidal power generationTEAnd the comprehensive cost C of combined cooling heating and power supplyCCHPRated total capacity P of energy storage deviceBAnd the comprehensive cost C of the unit capacity of the energy storage deviceBAnd the comprehensive cost C of other distributed power supplies in the regional power gridn. And step C2, calculating an objective function minf according to the data so as to control the electric energy output by the energy storage power station according to the objective function minf. Wherein the objective function is obtained by weighted accumulation of data of the distributed power supplies of the types.
Optionally, in the above method for controlling multiple distributed energy sources in a regional power grid, in the step C1, the comprehensive cost C of each group of photovoltaic arraysPV＝ppvcpv. The objective function minf ═ n in the step C21CWT+n2CPV+n3CSH+n4CBP+n5CTE+n6CCCHP+PBCB+Cn。
Optionally, in the above method for regulating and controlling multiple distributed energy resources in the regional power grid, in the step C1, the comprehensive cost C of other distributed power sources in the regional power gridn＝Cfn+Crn+COMnWherein, CfnRepresents the initial investment cost, C, of other distributed power sources in the regional gridrnRepresents replacement costs of other distributed power sources within the regional grid, COMnRepresenting the cost of operating and maintaining other distributed power sources within the regional power grid.
Optionally, in the above method for regulating and controlling multiple distributed energy resources in a regional power grid, the sea in step C2 includes a step of constraining the objective function minf, which specifically includes: and calculating a constraint condition of the objective function minf while calculating the objective function minf, screening the minimum value of the objective function minf according to the constraint condition, and outputting the electric energy according to the working condition of the energy storage power station corresponding to the minimum value.
Optionally, in the above method for regulating and controlling multiple distributed energy resources in a regional power grid, the constraint condition is that: the load loss rate is within 2 percent; the output power of each distributed power supply is within the range of the maximum output power thereof; the energy storage power station does not reach a maximum charging state in the process of storing the electric energy generated by the distributed power supply, and the energy storage power station does not reach a maximum discharging state in the process of releasing the electric energy stored in the energy storage power station; the sum of the output power of each distributed power supply in each hour of the system is not less than the total load requirement corresponding to the moment and meets the self power generation power requirement.
Advantageous effects
The method comprises the steps of firstly, accurately collecting the load condition of the power supply area of the regional power grid, and receiving the electric energy output by each type of distributed power supply in the power supply area of the regional power grid and the operation condition data of each type of distributed power supply in real time; and then storing the electric energy generated by the distributed power supply according to the energy utilization requirement in the area and the power supply condition of the area power grid, or releasing the electric energy stored in the energy storage power station to provide the electric energy for users in the area power grid. Therefore, the invention can improve the safety and reliability of energy supply, improve the energy utilization efficiency, optimize and adjust the energy structure, balance the peak-valley difference of urban energy load and reduce the environmental pollution related to energy.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram showing a configuration mode of a distributed power supply in a regional power grid in an embodiment of the present invention;
FIG. 2 is a schematic diagram of a consumer electrical load curve in an embodiment of the present invention;
FIG. 3 is a yearly wind speed profile for an embodiment of the present invention;
FIG. 4 is a distribution chart of light intensity throughout the year in an embodiment of the present invention;
fig. 5 is a flowchart illustrating steps of a method for regulating a distributed power source in a regional power grid according to an embodiment of the present invention.
Detailed Description
In order to make the purpose and technical solution of the embodiments of the present invention clearer, the technical solution of the embodiments of the present invention will be clearly and completely described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Fig. 1 is a regional power grid to which the present invention is applied, which includes any one or a combination of a wind power generator, a photovoltaic array, hydroelectric power, a biomass power generation device, a tidal power generation device, and a cooling, heating and power triple as a distributed power source thereof.
The system formed by the distributed power supply realizes accurate collection of the load condition of the power supply area of the regional power grid through a regional power grid load collection port; and receiving the electric energy output by each type of distributed power supply and the operation condition data of each type of distributed power supply through a distributed power supply interface.
The system also comprises an energy storage power station, which is used for storing the electric energy received by the distributed power interface according to the energy demand of the users in the regional power grid and the power supply condition of the regional power grid, or releasing the electric energy stored in the energy storage power station to be provided for the users in the regional power grid.
The energy storage power station is controlled by a control unit. The control unit is connected with the regional power grid load acquisition port, the distributed power supply interface and the energy storage power station; the control unit is used for executing the steps shown in fig. 5 to realize the control of the energy storage power station.
Step 10) accurately collecting the load condition of the power supply area, and performing load prediction work;
step 20) grasping energy utilization requirements of users, and obtaining different energy matching relations according to different energy utilization requirements;
step 30) further researching the system structure of the multi-energy complementary power generation system, reasonably configuring different distributed power supplies and reducing the construction cost of the distributed power supplies;
and step 40) researching energy management of the complementary power generation system, realizing dynamic optimization combination of complementary distributed power supply equipment, reducing system operation cost and improving electric field operation quality.
In order to maximally utilize renewable energy, an energy storage device is introduced in step 30) as an auxiliary means for power regulation, and then the combination of active power output of each generator set under a certain period of natural resource condition is solved to realize multi-energy complementation. The energy storage configuration method specifically comprises the following steps: step 301) determining the type and capacity of an energy storage power station in a regional power grid according to the size of the power load of a user, and considering the optimal configuration of a system by taking a storage battery as an example; step 302) considers that the deficit portion of the load demand is provided by the battery when the load demand is still not met after the total system output power reaches a maximum value. Step 303) considering that under the condition of poor natural resource conditions, the load requirement cannot be met, and the system cannot realize stable operation. In this case, it is necessary to ensure that the storage battery has a certain margin so as to facilitate the discharge of the storage battery to supply power to the load.
The dynamic optimization process of the multi-energy complementary system in the step 40) may specifically include: step 401) an objective function is established: the optimization design of the system comprehensively considers the system investment, replacement, operation and maintenance cost, the cost required by environmental management and the like on the premise of meeting various performance indexes of the system, takes the minimum comprehensive cost as an objective function, and the objective function can be expressed as follows:
minf＝n1CWT+n2CPV+n3CSH+n4CBP+n5CTE+n6CCCHP+PBCB+Cnformula (1)
In the formula, n1N is the total number of wind power generator installations2Total number of installations, n, for the photovoltaic array3Total number n of small hydropower installations4Indicates whether the biomass power generation device is installed, 1 is installed, 0 is not installed, n is not installed5Indicating that the tidal power isIf not, the installation is 1, and the uninstallation is 0 and n6Whether the combined cooling heating and power supply is installed or not is represented, and the installation is 1 and the non-installation is 0; cWTFor the combined cost of each wind turbine, CPVFor the combined cost of each group of photovoltaic arrays, if cpvFor the total cost per unit capacity of the photovoltaic cell, ppvFor the total capacity of each group of photovoltaic arrays, then CPV＝ppvcpv，CSHThe comprehensive cost of each small hydropower, CBPComprehensive cost of power generation for biomass, CTEFor the combined cost of tidal power generation, CCCHPThe comprehensive cost for combined supply of cold, heat and electricity; pBIs the rated total capacity of the energy storage device, CBIs the combined cost per unit capacity of the energy storage device, CnRepresenting the combined cost of other distributed power sources in the system. Wherein, the comprehensive cost is the sum of the installation cost, the replacement cost and the operation and maintenance cost, namely:
Cn＝Cfn+Crn+COMnformula (2)
In the formula, Cfn, Crn and COMn are respectively the initial investment cost, the replacement cost and the operation and maintenance cost of the construction of various distributed small power supplies.
Step 402) establishing constraints: in order to ensure stable and reliable operation of optimal configuration of a multi-energy complementary system, meet the requirements of users on power supply and realize an objective function, the following constraint conditions are required to be met during operation:
step 4021) power supply reliability constraint: the outage probability of the distributed power supply is considered through the load loss rate, and the load loss rate refers to the ratio of the electric quantity of all load loss to the electric quantity required by all loads when the system is short of power supply. Controlling the load loss rate within 2 percent, namely:
LOLP ≤ 2% of formula (3)
Step 4022) distributed power supply operation constraint: the output power of each distributed power supply is required to be within the range of the maximum output power when the maximum output power is required to be within the range of the maximum output power, namely:
PDG≤PDGmaxformula (4)
Step 4023) battery charge and discharge constraint: in consideration of the service life of the storage battery, the charging and discharging of the storage battery in the system operation process are strictly limited, the charging is stopped when the storage battery reaches the maximum charging state, the discharging is stopped when the storage battery reaches the maximum discharging state, and the overcharge or the overdischarge is not allowed, namely:
SSOCmin≤SSOC≤SSOCmaxformula (5)
Step 4024) power supply and demand balance constraint: the sum of the hourly distributed generation element output powers should not be less than the total load demand for the corresponding hour, i.e.:
PDG,t≥PL,tformula (6)
The step length of the power supply and demand is calculated to be 1 hour, so that the time of one year is 8760 hours. Subtracting the power required by the load at the time t from the sum of the total output power of the system at the time t to obtain the residual capacity of the system at the time t, wherein the sum of the residual capacity of the storage battery at the time t-1 and the residual capacity of the storage battery at the time t is the capacity of the storage battery at the time t, namely:
PDG,t-PL,t+PB,t-1＝PB,Tformula (7)
In the formula, PDG,tTotal power generation at tth of the system, PL,tLoad demand at t hour, PB,t-1、PB,tThe t th and t-1 hour charge capacities of the storage battery respectively, when PDG,t-PL,tWhen > 0, represents the charging of the accumulator, when PDG,t-PL,tAnd the discharge of the storage battery is represented when the discharge is less than 0. And sequentially iterating at 0-t to obtain:
Figure BDA0002545314670000081
wherein t is 1, 2 … 8760, PB,0The charge capacity of the storage battery at the time 0 is the maximum capacity of the storage battery;
Figure BDA0002545314670000091
the sum of the power required by the load at the time 0-t;
Figure BDA0002545314670000092
is the sum of the power sent by the system at the time 0-t.
Step 4025) fan power constraint: power P of fan generatorWTThe generated power constraint of the device per se is satisfied.
0≤PWT≤PrFormula (9)
Figure BDA0002545314670000093
The generated power of the fan is related to the wind speed vctFor cutting into the wind speed, vcoTo cut out wind speed, vrAt rated wind speed, PrIs the rated power. When the wind speed is between vctAnd vcoIn between, the wind generator output power may be expressed as a function of wind speed η (v).
Step 4026) photovoltaic array power generation power constraint: photovoltaic power generation should meet its power constraints.
0≤PPV≤PmFormula (11)
In the formula, PPVFor photovoltaic power generation, depending on the intensity of the light and the ambient temperature, PmIs the peak power of the photovoltaic array.
Step 403) optimizing the analysis method: the method comprises the steps of taking power generation data of each distributed power supply as output variables, taking an equation (1) as an optimization objective function, taking equations (3) to (11) as constraint conditions, wherein the constraint conditions of the equations (3) to (11) are functions related to electric energy output by each type of distributed power supply, operation condition data of each type of distributed power supply and the working state of an energy storage store leader. And calculating according to the constraint conditions to obtain the optimal capacity allocation scheme with multiple energy complementation. For example, if only wind power generation and photovoltaic power generation are available in the system, the capacity of the storage battery is the amount of electricity that is still needed after the load demand is subtracted by the amount of electricity generated by the wind turbine and the photovoltaic. In equation (7), when t is 1, the maximum capacity of the battery required at time 0-1 can be obtained; when t is 2, respectively superposing the load demand, the fan output power and the photovoltaic output power at the first two moments, and performing corresponding operation on the 3 superposed values according to the formula (8), so as to obtain the maximum capacity of the storage battery required at 0-2 moments; by analogy, the maximum capacity of the storage battery required at all times can be obtained, wherein the maximum value is the maximum capacity which should be configured for the storage battery, and the maximum capacity is 0-3 and 0-4. When the number of the fans is 1 and the number of the photovoltaic arrays is 1, the maximum capacity of one storage battery corresponds to the maximum capacity of the storage battery; when the number of the fans is 1 and the number of the photovoltaic arrays is 2, the maximum capacity of one storage battery corresponds to the maximum capacity of the storage battery; similarly, different fan and photovoltaic quantities correspond to different storage battery maximum capacities, the value range of the fan and photovoltaic configuration quantities is set to be 0-50, 2500 groups of different storage battery maximum capacities exist, the 2500 groups of wind and light storage capacity configuration combinations are respectively subjected to comprehensive cost calculation, and the minimum value is the target function value. And other distributed power supplies also refer to the optimization method, and the corresponding distributed power supply capacity is the optimal combined configuration capacity. The distributed power source type and number range is usually estimated according to the load demand and the actual situation.
Take the grid operating conditions shown in fig. 2-4 as an example.
The load requirements and renewable energy resource conditions of different time periods in one year of the urban cell can be optimized and analyzed by the method disclosed by the invention to maintain the stable operation of the regional power grid. The annual load situation of the cell is shown in figure 2, and the wind speed and light situation are shown in figure 3 and figure 4. The relevant cost parameters for each distributed power source are shown in table 1 below:
TABLE 1 statistical table of cost parameters associated with each distributed power supply
Type (B) 30kw blower Solar cell Storage battery
Cost of equipment (Yuan) 15 ten thousand per table 0.8 ten thousand/kW 800/kW
Replacement costs (Yuan) 12 ten thousand per station 0.6 ten thousand/kW 500/kW
Maintenance cost (Yuan) 400/year 200/year 200/year
And selecting a 30kW wind driven generator according to the actual situation of the community, wherein the cut-in wind speed is 3m/s, the unit photovoltaic array capacity is 7.5kW, and the lead-acid storage battery is selected as the battery pack. The service life of the wind driven generator is usually 20 years, the service life of the photovoltaic cell panel is usually 25 years, the service life of the storage battery is closely related to the charge-discharge depth, the cycle use frequency and the use environment temperature, and the service life of the storage battery is assumed to be 10 years. Taking 30 years of system operation as an example, the cost of each item of the system is estimated, the wind driven generator and the photovoltaic cell panel need to be replaced once, and the storage battery needs to be replaced twice. Then:
comprehensive cost of the wind driven generator: cWT＝15000+12000+400*30＝282000
Comprehensive cost of the photovoltaic cell panel: cPV＝8000+6000+200*30＝20000
The comprehensive cost of the storage battery is as follows: cB＝(800+500)*2+200*30＝8600
The photovoltaic cell operating point temperature is assumed to be constant, equal to the cell temperature under standard reference conditions. V, G, L matrix represents wind speed, illumination intensity, load change in one year, respectively; m, N represent the number of wind and photovoltaic installations respectively, both of which are 50x50 matrices, and z represents each wind and light storageThe system cost under the combination, and Z represents the minimum value of the cost corresponding to the combination, namely the minimum cost (objective function); x and y represent the corresponding fan and photovoltaic quantity at the minimum cost; pmax(x,y)Representing the maximum capacity of the corresponding battery at the minimum cost. The results are shown in Table 2
TABLE 2 statistical table of optimization results
Type (B) Number of fans Number of photovoltaic arrays Accumulator capacity (kW) Investment cost (ten thousand)
Optimizing results 8 2 14.204 268
The output result of running the optimization algorithm is as follows: the configuration is 8, 2, 2678200, 14.2040, namely the optimal configuration is 8 wind power generators of 30kW, 2 groups of photovoltaic arrays of 7.5kW, a lead-acid storage battery with the maximum capacity of 14.2040kW, and the lowest cost of the configuration is about 268 ten thousand yuan. It can be seen that the optimization algorithm has feasibility for solving the capacity optimization configuration problem of the small distributed power supply.
In summary, the present invention is able to:
1) the safety and reliability of energy supply are improved. At present, domestic power supply systems are mainly centralized power supply modes of large units, high voltage and long distance. If faults occur in the power grid once, the stability of the whole power supply system is affected, and if the faults occur seriously, the whole power grid can be paralyzed, so that large-area power failure is caused. And the distance between the distributed energy and the user side is short, the uncertainty factor is less, and the stability is high. The distributed energy source can also provide power supply for nearby users when a large power grid fails, and therefore safety of the power grid is improved to a certain extent.
2) The energy utilization efficiency is improved. In the natural gas combined cycle of the gas and steam combined cycle system, a part of heat energy is converted into mechanical energy and then transmitted to a steam turbine by burning natural gas, the other part of heat energy is used for heating water, the water is converted into steam to push the steam turbine to operate, and the steam which is finished enters a refrigerating machine from dead steam which comes out of the steam turbine to refrigerate. The gas steam circulating system realizes the cascade utilization of energy and the recovery of waste heat. At present, the power generation efficiency of the ultra-supercritical unit with the highest power generation efficiency in the traditional thermal power generation can only reach 50%, and if cogeneration is adopted, the energy utilization efficiency can reach more than 80%.
3) And optimizing and adjusting the energy structure. At present, the proportion of thermal power generation taking coal as fuel reaches 70% in the installed capacity of power generation in China. The fuel of the distributed energy system is characterized in that gas fuel is taken as a main fuel, renewable energy is taken as an auxiliary fuel, and various resources including natural gas, methane, biomass, solar energy and the like are fully utilized.
4) And balancing the peak-valley difference of the urban energy load. Compared with a large traditional thermal power plant, the distributed energy system is more flexible to start and stop due to small scale. In addition, in winter, it reduces the electric load caused by using electric heating by heating users. In summer, it can also supply cold to the user and reduce the electric load brought by using the air conditioner to refrigerate.
5) And the environmental pollution is reduced. Distributed energy and solid waste emissions are almost zero. The carbon dioxide emission amount of the distributed power supply is reduced by more than 70%, the NOx emission amount is reduced by 80%, and the occupied area and the water consumption are both reduced by more than 60%.
The above are merely embodiments of the present invention, which are described in detail and with particularity, and therefore should not be construed as limiting the scope of the invention. It should be noted that, for those skilled in the art, various changes and modifications can be made without departing from the spirit of the present invention, and these changes and modifications are within the scope of the present invention.

Claims (8)

1. A regulation and control method for multiple distributed energy sources in a regional power grid is characterized by comprising the following steps:
the method comprises the following steps that firstly, the load condition of a power supply region of the regional power grid is accurately collected; wherein the load condition comprises real-time load of the power supply region of the regional power grid and average load of the power supply region of the regional power grid in different periods of time in the last year;
receiving electric energy output by each type of distributed power supply in an electric power supply region of the regional power grid and operation condition data of each type of distributed power supply in real time;
and thirdly, storing the electric energy generated by the distributed power supply according to the energy demand of the users in the regional power grid and the power supply condition of the regional power grid, or releasing the electric energy stored in the energy storage power station to provide the electric energy for the users in the regional power grid.
2. The method for regulating and controlling the plurality of distributed energy resources in the regional power grid according to claim 1, wherein in the third step, when the energy demand of the user in the regional power grid cannot be met after the total output power output by the distributed power sources reaches the maximum value, the energy storage power station is controlled to output the electric energy to fill the shortage of the load demand; or the control unit is further used for controlling the energy storage power station to output electric energy to fill the shortage of the load demand under the condition that the running conditions of the distributed power supplies of various types are not good enough and on the premise that the energy storage power station is ensured to have set allowance; and when the total output power output by the distributed power supply exceeds the energy utilization requirement of users in the regional power grid, controlling the energy storage power station to store the electric energy generated by the distributed power supply.
3. A method according to claim 2, wherein the regional power grid comprises distributed power sources including: any one or combination of a wind power generator, a photovoltaic array, hydroelectric power, a biomass power generation device and a tidal power generation device.
4. A regulation and control method for multiple distributed energy resources in a regional power grid according to claim 3, wherein the concrete steps of the third step include:
step C1, acquiring data of various types of distributed power supplies in the regional power grid, including the total installation number n of the wind driven generators1Total number of installations n of photovoltaic array2Total number n of small hydropower installations3Whether or not the biomass power generation device is installed n4Whether or not tidal power is installed n5Whether the mark and the combined cooling, heating and power supply are installed or not6Also including the overall cost C of each wind turbineWTAnd the comprehensive cost C of each group of photovoltaic arraysPVTotal cost per unit capacity of photovoltaic cell cpvTotal capacity p of each group of photovoltaic arrayspvAnd the comprehensive cost C of each small hydropower stationSHAnd the comprehensive cost C of biomass power generationBPAnd the comprehensive cost C of tidal power generationTEAnd the comprehensive cost C of combined cooling heating and power supplyCCHPRated total capacity P of energy storage deviceBAnd the comprehensive cost C of the unit capacity of the energy storage deviceBAnd the comprehensive cost C of other distributed power supplies in the regional power gridn；
Step C2, calculating a target function minf according to the data to control the electric energy output by the energy storage power station according to the target function minf; wherein the objective function is obtained by weighted accumulation of data of the distributed power supplies of the types.
5. The area specific power of claim 4The method for regulating and controlling multiple distributed energy sources in the network is characterized in that in the step C1, the comprehensive cost C of each group of photovoltaic arraysPV＝ppvcpv；
The objective function minf ═ n in the step C21CWT+n2CPV+n3CSH+n4CBP+n5CTE+n6CCCHP+PBCB+Cn。
6. A regulation and control method for multiple distributed energy resources in a regional power grid as claimed in claim 5, wherein in the step C1, the comprehensive cost C of other distributed power sources in the regional power grid isn＝Cfn+Crn+COMnWherein, CfnRepresents the initial investment cost, C, of other distributed power sources in the regional gridrnRepresents replacement costs of other distributed power sources within the regional grid, COMnRepresenting the cost of operating and maintaining other distributed power sources within the regional power grid.
7. A regulation and control method for multiple distributed energy resources within a regional power grid according to any one of claims 1 to 6, characterized in that the sea in the step C2 includes a step of constraining the objective function minf, which specifically includes:
and calculating a constraint condition of the objective function minf while calculating the objective function minf, screening the minimum value of the objective function minf according to the constraint condition, and outputting the electric energy according to the working condition of the energy storage power station corresponding to the minimum value.
8. A regulation and control method for multiple distributed energy sources in a regional power grid according to claim 6, wherein the constraint condition is that:
the load loss rate is within 2 percent; the output power of each distributed power supply is within the range of the maximum output power thereof; the energy storage power station does not reach a maximum charging state in the process of storing the electric energy generated by the distributed power supply, and the energy storage power station does not reach a maximum discharging state in the process of releasing the electric energy stored in the energy storage power station; the sum of the output power of each distributed power supply in each hour of the system is not less than the total load requirement corresponding to the moment and meets the self power generation power requirement.
CN202010558776.0A 2020-06-18 2020-06-18 Regulation and control method for multiple distributed energy sources in regional power grid Pending CN111917137A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113190574A (en) * 2021-05-21 2021-07-30 华中科技大学 Source-load data scheduling method and system for electric heating comprehensive energy
CN115186940A (en) * 2022-09-13 2022-10-14 北京邮电大学 Comprehensive energy scheduling method, device and equipment

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113190574A (en) * 2021-05-21 2021-07-30 华中科技大学 Source-load data scheduling method and system for electric heating comprehensive energy
CN113190574B (en) * 2021-05-21 2022-11-11 华中科技大学 Method and system for scheduling source load data of electric heating comprehensive energy
CN115186940A (en) * 2022-09-13 2022-10-14 北京邮电大学 Comprehensive energy scheduling method, device and equipment

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