CN112184000A - Peak regulation efficiency evaluation method and system for new energy power generation system containing photo-thermal power station - Google Patents
Peak regulation efficiency evaluation method and system for new energy power generation system containing photo-thermal power station Download PDFInfo
- Publication number
- CN112184000A CN112184000A CN202011021488.8A CN202011021488A CN112184000A CN 112184000 A CN112184000 A CN 112184000A CN 202011021488 A CN202011021488 A CN 202011021488A CN 112184000 A CN112184000 A CN 112184000A
- Authority
- CN
- China
- Prior art keywords
- thermal power
- generating unit
- peak
- power generating
- output value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000010248 power generation Methods 0.000 title claims abstract description 48
- 238000011156 evaluation Methods 0.000 title claims abstract description 23
- 239000003245 coal Substances 0.000 claims abstract description 62
- 230000000694 effects Effects 0.000 claims abstract description 48
- 230000005611 electricity Effects 0.000 claims abstract description 31
- 238000004146 energy storage Methods 0.000 claims abstract description 26
- 238000000034 method Methods 0.000 claims abstract description 17
- 238000004364 calculation method Methods 0.000 claims abstract description 10
- 230000001105 regulatory effect Effects 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000005336 cracking Methods 0.000 claims description 6
- 238000002347 injection Methods 0.000 claims description 6
- 239000007924 injection Substances 0.000 claims description 6
- 230000009466 transformation Effects 0.000 abstract description 6
- 238000005338 heat storage Methods 0.000 description 10
- 230000009286 beneficial effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 238000010795 Steam Flooding Methods 0.000 description 1
- 230000003749 cleanliness Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Mathematical Physics (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Mathematical Analysis (AREA)
- Operations Research (AREA)
- Computational Mathematics (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Algebra (AREA)
- General Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a peak shaving efficiency evaluation method and system for a new energy power generation system with a photo-thermal power station. The method comprises the following steps: determining a peak regulation effect index by adopting an Euclidean distance calculation method according to the load power consumption, the grid-connected power of the generator set and the grid-connected power of the energy storage device; determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the output value of the thermal power generating unit; determining a power abandonment rate index according to the predicted output value and the actual output value of the wind turbine generator and the predicted output value and the actual output value of the photovoltaic generator; and evaluating the peak shaving efficiency according to the peak shaving effect index, the peak shaving coal consumption and the electricity abandonment rate index. By adopting the method and the system, the comprehensive peak regulation efficiency of the flexible operation of the thermoelectric power station is quantitatively evaluated from 3 angles of peak regulation effect, peak regulation coal consumption and electricity abandonment rate, the contribution to the peak regulation level can be more intuitively quantized, the clean transformation of the power system is facilitated, and reference opinions are provided for the planning and the reform of the power system containing high-proportion renewable energy sources.
Description
Technical Field
The invention relates to the technical field of photo-thermal power generation, in particular to a peak shaving efficiency evaluation method and system for a new energy power generation system comprising a photo-thermal power station.
Background
The global dual pressure of fossil energy crisis and environmental pollution has prompted the transformation of power systems to cleanliness, and a high proportion of renewable energy has become the main scenario for future power systems. Due to the characteristics of uncertainty and volatility of output of renewable energy, the prediction and scheduling accuracy of a power system is influenced by the massive access of wind power and photovoltaic, and a new problem is brought to the flexible operation of the system. How to solve the contradiction between the fluctuation of wind-light output and the flexibility of system operation in the high-proportion renewable energy power system and how to improve the consumption level of the system are important challenges in the operation of the high-proportion renewable energy power system. In recent years, a rapidly developed energy storage technology becomes a new breakthrough for solving the problem of renewable energy consumption, and as a renewable energy power generation mode integrating energy storage and power generation, the position of photo-thermal power generation in a power system needs to be reviewed again under a new energy environment. Compared with other wave power generation, the solar thermal power generation has the greatest advantages that a heat storage device can be arranged, and the solar thermal power generation and the heat storage system run in a combined mode, so that power generation output is obviously smooth, output fluctuation is reduced, and meanwhile, the running flexibility of the system is improved; on the other hand, the solar-thermal power generation can make up for the fluctuation characteristics of wind power and photovoltaic power generation, and improves the stability of the system and the capacity of absorbing a fluctuation power supply.
At present, most of researches aim at small-scale photo-thermal power generation, the aim of maximizing the self income of a power station is taken as the target, some problems only consider the economic efficiency of a new energy power generation system or only consider the problem of on-site consumption of new energy, a photo-thermal power station flexible operation model is not established from the aspect of improving the system peak regulation, and the comprehensive peak regulation efficiency brought by the operation flexibility is not quantitatively analyzed.
Disclosure of Invention
The invention aims to provide a peak regulation efficiency evaluation method and system for a new energy power generation system comprising a photo-thermal power station, which can quantitatively evaluate the comprehensive peak regulation efficiency of the photo-thermal power station in terms of peak regulation effect, peak regulation coal consumption and electricity abandon rate 3, can more intuitively quantify the contribution to the peak regulation level and is beneficial to clean transformation of an electric power system.
In order to achieve the purpose, the invention provides the following scheme:
a peak shaving efficiency evaluation method for a new energy power generation system comprising a photo-thermal power station comprises the following steps:
acquiring load electricity consumption, grid-connected power of a generator set and grid-connected power of an energy storage device, and determining a peak regulation effect index by adopting an Euclidean distance calculation method according to the load electricity consumption, the grid-connected power of the generator set and the grid-connected power of the energy storage device; the generator set comprises a photo-thermal unit, a wind turbine generator set, a photovoltaic unit and a thermal power unit;
acquiring the output value of the thermal power generating unit, and determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the output value of the thermal power generating unit; the three stages are respectively a conventional peak regulation stage, an oil-throwing-free deep peak regulation stage and an oil-throwing deep peak regulation stage;
acquiring a predicted output value and an actual output value of the wind turbine generator and a predicted output value and an actual output value of the photovoltaic generator, and determining a power abandonment rate index according to the predicted output value and the actual output value of the wind turbine generator and the predicted output value and the actual output value of the photovoltaic generator;
and evaluating the peak shaving efficiency according to the peak shaving effect index, the peak shaving coal consumption and the electricity abandonment rate index.
Optionally, the determining the peak shaving effect index by using an euclidean distance calculation method according to the load power consumption, the grid-connected power of the generator set, and the grid-connected power of the energy storage device specifically includes:
determining a peak shaving effect index according to the following formula:
wherein,
PALL,t＝PC,t+PW,t+PP,t+PE,t+PF,t
in the formula IrIs the peak-shaving effect index, T is the total time, PL,tFor the load demand at time t, PALL,tIs the total grid-connected power P of the generator set at the time tC,tIs the grid-connected power P of the photo-thermal unit at the time tW,tFor the grid-connected power, P, of the wind turbine at time tP,tFor the grid-connected power, P, of the photovoltaic unit at time tE,tFor the grid-connected power, P, of the energy storage device at time tF,tAnd the grid-connected power is the grid-connected power of the thermal power generating unit at the moment t.
Optionally, determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the output value of the thermal power generating unit specifically includes:
determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the following formula:
wherein,
in the formula, CFThe total peak coal consumption of the thermal power generating unit is regulated,
the coal consumption of the conventional peak shaving stage of the unit,
in order to avoid the extra loss in the oil feeding depth peak regulation stage and the oil feeding depth peak regulation stage,
the oil feeding amount in the non-oil feeding deep peak shaving stage and the oil feeding deep peak shaving stage, NrNumber of conventional peak shaving units, NdNumber of deeply peak shaving units, PF,t' is the total output of all thermal power generating units at the moment t, PF1Thermal engine for conventional peak regulation stageMinimum value of total force of group, PF2The minimum value P of the total output of the thermal power generating unit at the stage of no oil injection and deep peak regulationF3The minimum value P of the total output of the thermal power generating unit at the oil feeding depth peak regulation stageFmaxIs the maximum value of the total output of the thermal power generating unit, Pf,i,tA force value P is generated for the ith thermal power generating unit at the moment tJ,iThe rated capacity of the ith thermal power generating unit; n is a radical ofF,i,tA rotor cracking frequency at the moment t of the ith thermal power generating unitiIs a first coefficient of a characteristic function of the consumption of the ith thermal power generating unit, biA second coefficient being a function of the consumption characteristic of the ith thermal power generating unit, ciIs the third coefficient of the power consumption characteristic function of the ith thermal power generating unit, beta is the actual operation loss coefficient of the thermal power plant, Qoil,i,tThe oil feeding amount at the t moment of the oil feeding depth peak regulation stage of the ith thermal power generating unit, BoilFor the conversion coefficient of oil consumption-coal consumption,
the rated capacity of the thermal power generating unit which only participates in conventional peak shaving is set as the ith thermal power generating unit;
the rated capacity of the ith thermal power generating unit capable of deeply regulating the peak is obtained,
is the maximum load rate of the ith thermal power generating unit,
the minimum load rate of the ith thermal power generating unit in the conventional peak shaving stage,
the minimum load rate of the ith thermal power generating unit in the deep peak shaving stage without oil feeding,
and (4) the minimum load rate of the ith thermal power generating unit in the oil feeding depth peak regulation stage.
Optionally, the power curtailment rate index is determined according to the predicted output value and the actual output value of the wind turbine generator and the predicted output value and the actual output value of the photovoltaic generator, and the method specifically includes:
determining a power curtailment index according to the following formula:
in the formula IcurIn order to provide an index of the power abandonment rate,
is a predicted output force value of the wind turbine generator at time t, P'W,tIs the actual output value of the wind turbine at the time t,
is a predicted output force value of the photovoltaic unit at the moment t, P'P,tAnd the actual output value of the photovoltaic unit at the moment t is obtained.
The invention also provides a peak shaving efficiency evaluation system of the new energy power generation system comprising the photo-thermal power station, which comprises the following steps:
the peak regulation effect index determining module is used for acquiring load electricity consumption, grid-connected power of a generator set and grid-connected power of an energy storage device, and determining a peak regulation effect index by adopting an Euclidean distance calculation method according to the load electricity consumption, the grid-connected power of the generator set and the grid-connected power of the energy storage device; the generator set comprises a photo-thermal unit, a wind turbine generator set, a photovoltaic unit and a thermal power unit;
the peak-regulating coal consumption determining module is used for acquiring the output value of the thermal power generating unit and determining the peak-regulating coal consumption of the thermal power generating unit in three stages according to the output value of the thermal power generating unit; the three stages are respectively a conventional peak regulation stage, an oil-throwing-free deep peak regulation stage and an oil-throwing deep peak regulation stage;
the device comprises a power abandonment rate index determining module, a power abandonment rate index determining module and a power abandonment rate index determining module, wherein the power abandonment rate index determining module is used for acquiring a predicted output value and an actual output value of a wind turbine generator and a predicted output value and an actual output value of a photovoltaic generator, and determining the power abandonment rate index according to the predicted output value and the actual output value of the wind turbine generator and the predicted output value and the actual output value of the photovoltaic generator;
and the peak regulation efficiency evaluation module is used for carrying out peak regulation efficiency evaluation according to the peak regulation effect index, the peak regulation coal consumption and the electricity abandonment rate index.
Optionally, the peak shaving effect index determining module specifically includes:
a peak-shaving effect index determining unit, configured to determine a peak-shaving effect index according to the following formula:
wherein,
PALL,t＝PC,t+PW,t+PP,t+PE,t+PF,t
in the formula IrIs the peak-shaving effect index, T is the total time, PL,tFor the load demand at time t, PALL,tIs the total grid-connected power P of the generator set at the time tC,tIs the grid-connected power P of the photo-thermal unit at the time tW,tFor the grid-connected power, P, of the wind turbine at time tP,tFor the grid-connected power, P, of the photovoltaic unit at time tE,tFor the grid-connected power, P, of the energy storage device at time tF,tAnd the grid-connected power is the grid-connected power of the thermal power generating unit at the moment t.
Optionally, the peak shaving coal consumption determining module specifically includes:
the peak shaving coal consumption determining unit is used for determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the following formula:
wherein,
in the formula, CFThe total peak coal consumption of the thermal power generating unit is regulated,
the coal consumption of the conventional peak shaving stage of the unit,
in order to avoid the extra loss in the oil feeding depth peak regulation stage and the oil feeding depth peak regulation stage,
the oil feeding amount in the non-oil feeding deep peak shaving stage and the oil feeding deep peak shaving stage, NrNumber of conventional peak shaving units, NdNumber of deeply peak shaving units, PF,t' is the total output of all thermal power generating units at the moment t, PF1Is the minimum value of the total output of the thermal power generating unit, P, in the conventional peak regulation stageF2The minimum value P of the total output of the thermal power generating unit at the stage of no oil injection and deep peak regulationF3The minimum value P of the total output of the thermal power generating unit at the oil feeding depth peak regulation stageFmaxIs the maximum value of the total output of the thermal power generating unit, Pf,i,tA force value P is generated for the ith thermal power generating unit at the moment tJ,iThe rated capacity of the ith thermal power generating unit; n is a radical ofF,i,tA rotor cracking frequency at the moment t of the ith thermal power generating unitiIs a first coefficient of a characteristic function of the consumption of the ith thermal power generating unit, biA second coefficient being a function of the consumption characteristic of the ith thermal power generating unit, ciIs the third coefficient of the power consumption characteristic function of the ith thermal power generating unit, beta is the actual operation loss coefficient of the thermal power plant, Qoil,i,tFeeding oil to ith thermal power generating unit at time t in oil feeding depth peak regulation stageOil quantity, BoilFor the conversion coefficient of oil consumption-coal consumption,
the rated capacity of the thermal power generating unit which only participates in conventional peak shaving is set as the ith thermal power generating unit;
the rated capacity of the ith thermal power generating unit capable of deeply regulating the peak is obtained,
is the maximum load rate of the ith thermal power generating unit,
the minimum load rate of the ith thermal power generating unit in the conventional peak shaving stage,
the minimum load rate of the ith thermal power generating unit in the deep peak shaving stage without oil feeding,
and (4) the minimum load rate of the ith thermal power generating unit in the oil feeding depth peak regulation stage.
Optionally, the power abandonment rate index determining module specifically includes:
a power abandonment rate index determination unit for determining a power abandonment rate index according to the following formula:
in the formula IcurIn order to provide an index of the power abandonment rate,
is a predicted output force value of the wind turbine generator at time t, P'W,tIs the actual output value of the wind turbine at the time t,
for photovoltaic at time tPredicted output value of the unit, P'P,tAnd the actual output value of the photovoltaic unit at the moment t is obtained.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a peak regulation efficiency evaluation method and system for a new energy power generation system comprising a photo-thermal power station, wherein an Euclidean distance calculation method is adopted to determine a peak regulation effect index according to load power consumption, grid-connected power of a generator set and grid-connected power of an energy storage device; determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the output value of the thermal power generating unit; determining a power abandonment rate index according to the predicted output value and the actual output value of the wind turbine generator and the predicted output value and the actual output value of the photovoltaic generator; and evaluating the peak shaving efficiency according to the peak shaving effect index, the peak shaving coal consumption and the electricity abandonment rate index. The method carries out quantitative evaluation on the comprehensive peak regulation efficiency of the flexible operation of the thermoelectric power station from the peak regulation effect, the peak regulation coal consumption and the electricity abandoning rate 3 angles, can more intuitively quantify the contribution to the peak regulation level, is beneficial to the clean transformation of the power system, and provides reference opinions for the planning and the reform of the power system containing high-proportion renewable energy sources.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a method for evaluating peak shaving efficiency of a new energy power generation system including a photo-thermal power station according to an embodiment of the present invention;
FIG. 2 is a block diagram of a high-scale new energy power generation system including a photovoltaic power plant in an embodiment of the present invention;
FIG. 3 is a schematic view of the internal structure of the photothermal power station in an embodiment of the present invention;
fig. 4 is a diagram of a peak shaving efficiency evaluation system of a new energy power generation system including a photothermal power station in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a peak regulation efficiency evaluation method and system for a new energy power generation system comprising a photo-thermal power station, which can quantitatively evaluate the comprehensive peak regulation efficiency of the photo-thermal power station in terms of peak regulation effect, peak regulation coal consumption and electricity abandon rate 3, can more intuitively quantify the contribution to the peak regulation level and is beneficial to clean transformation of an electric power system.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Examples
Fig. 1 is a flowchart of a method for evaluating peak shaving efficiency of a new energy power generation system including a photovoltaic power station in an embodiment of the present invention, and as shown in fig. 1, a method for evaluating peak shaving efficiency of a new energy power generation system including a photovoltaic power station includes:
step 101: acquiring load electricity consumption, grid-connected power of a generator set and grid-connected power of an energy storage device, and determining a peak regulation effect index by adopting an Euclidean distance calculation method according to the load electricity consumption, the grid-connected power of the generator set and the grid-connected power of the energy storage device; the generator set comprises a photo-thermal unit, a wind turbine generator set, a photovoltaic unit and a thermal power unit.
determining a peak shaving effect index according to the following formula:
wherein,
PALL,t＝PC,t+PW,t+PP,t+PE,t+PF,t
in the formula IrIs the peak-shaving effect index, T is the total time, PL,tFor the load demand at time t, PALL,tIs the total grid-connected power P of the generator set at the time tC,tIs the grid-connected power P of the photo-thermal unit at the time tW,tFor the grid-connected power, P, of the wind turbine at time tP,tFor the grid-connected power, P, of the photovoltaic unit at time tE,tFor the grid-connected power, P, of the energy storage device at time tF,tAnd the grid-connected power is the grid-connected power of the thermal power generating unit at the moment t.
Step 102: acquiring the output value of the thermal power generating unit, and determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the output value of the thermal power generating unit; the three stages are respectively a conventional peak regulation stage, an oil-throwing-free deep peak regulation stage and an oil-throwing deep peak regulation stage.
determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the following formula:
wherein,
in the formula, CFThe total peak coal consumption of the thermal power generating unit is regulated,
the coal consumption of the conventional peak shaving stage of the unit,
in order to avoid the extra loss in the oil feeding depth peak regulation stage and the oil feeding depth peak regulation stage,
the oil feeding amount in the non-oil feeding deep peak shaving stage and the oil feeding deep peak shaving stage, NrNumber of conventional peak shaving units, NdNumber of deeply peak shaving units, PF,t' is the total output of all thermal power generating units at the moment t, PF1Is the minimum value of the total output of the thermal power generating unit, P, in the conventional peak regulation stageF2The minimum value P of the total output of the thermal power generating unit at the stage of no oil injection and deep peak regulationF3The minimum value P of the total output of the thermal power generating unit at the oil feeding depth peak regulation stageFmaxIs the maximum value of the total output of the thermal power generating unit, Pf,i,tA force value P is generated for the ith thermal power generating unit at the moment tJ,iThe rated capacity of the ith thermal power generating unit; n is a radical ofF,i,tA rotor cracking frequency at the moment t of the ith thermal power generating unitiIs a first coefficient of a characteristic function of the consumption of the ith thermal power generating unit, biA second coefficient being a function of the consumption characteristic of the ith thermal power generating unit, ciIs the third coefficient of the power consumption characteristic function of the ith thermal power generating unit, beta is the actual operation loss coefficient of the thermal power plant, Qoil,i,tThe oil feeding amount at the t moment of the oil feeding depth peak regulation stage of the ith thermal power generating unit, BoilFor the conversion coefficient of oil consumption-coal consumption,
the rated capacity of the thermal power generating unit which only participates in conventional peak shaving is set as the ith thermal power generating unit;
the rated capacity of the ith thermal power generating unit capable of deeply regulating the peak is obtained,
is the maximum load rate of the ith thermal power generating unit,
the minimum load rate of the ith thermal power generating unit in the conventional peak shaving stage,
the minimum load rate of the ith thermal power generating unit in the deep peak shaving stage without oil feeding,
and (4) the minimum load rate of the ith thermal power generating unit in the oil feeding depth peak regulation stage.
Step 103: the method comprises the steps of obtaining a predicted output value and an actual output value of the wind turbine generator and a predicted output value and an actual output value of the photovoltaic generator, and determining a power abandonment rate index according to the predicted output value and the actual output value of the wind turbine generator and the predicted output value and the actual output value of the photovoltaic generator.
determining a power curtailment index according to the following formula:
in the formula IcurIn order to provide an index of the power abandonment rate,
is a predicted output force value of the wind turbine generator at time t, P'W,tIs the actual output value of the wind turbine at the time t,
is a predicted output force value of the photovoltaic unit at the moment t, P'P,tAnd the actual output value of the photovoltaic unit at the moment t is obtained.
Step 104: and evaluating the peak shaving efficiency according to the peak shaving effect index, the peak shaving coal consumption and the electricity abandonment rate index.
The operation scene of the high-proportion new energy power generation system comprising the photo-thermal power station is shown in figure 2. The high-proportion new energy power generation system comprises a wind power unit, a photovoltaic unit, an energy storage unit and a thermal power unit besides a photo-thermal power station, is a typical high-proportion new energy comprehensive energy power generation system, and meets load requirements through a power transmission line.
The photo-thermal power station is mainly composed of three subsystems, namely a light-gathering and heat-collecting link, a heat storage link and a power generation link, as shown in figure 3. The direct energy transmission of each link is realized through the heat conducting working medium. In the light and heat collecting link, sunlight is collected to a solar energy collecting device through a reflector, and then a heat conducting working medium in the collecting device is heated; the heat-conducting medium enters a power generation link to heat water again to form superheated steam, and then the superheated steam drives a generator to generate power; the heat conducting working medium can also flow into the heat storage link to carry out heat exchange so as to realize heat storage or heat release.
The maximum advantage of the photo-thermal power generation is that the heat storage device is arranged, and the heat storage device and the heat storage system run jointly, so that the output fluctuation is reduced, and the running flexibility of the system is improved; meanwhile, the output peak-valley difference of the thermal power generating unit is reduced, and the coal consumption is reduced; meanwhile, the fluctuation characteristics of wind power and photovoltaic power generation are compensated, and the system stability and the capacity of absorbing a fluctuation power supply are improved. Therefore, the peak shaving efficiency of the high-proportion new energy power generation system comprising the photo-thermal power station can be reflected in 3 aspects of peak shaving effect, peak shaving coal consumption and power abandon rate.
The following describes the embodiments in detail with reference to an example.
By taking the planning of a power grid in a certain northwest region as an example, the installed capacity of each energy source is constructed in proportion according to planning data, wherein the installed capacity of a wind power plant is 400MW, the installed capacity of a photovoltaic power plant is 400MW, the installed capacity of a photothermal power plant is 100MW, the installed capacity of energy storage is 50MW, and the installed capacity of a thermal power machine is 900MW, wherein a 400MW unit is arranged to participate in deep peak shaving. The depth peak-shaving related parameters are as follows: the lowest load rate of the conventional peak regulation stage is 50%, the lowest load rate of the oil-free deep peak regulation stage is 40%, and the lowest load rate of the oil-feeding deep peak regulation stage is 30%.
The peak-shaving efficiency of the high-proportion new energy power generation system is evaluated by using the method, and meanwhile, the high-proportion new energy power generation system without the photo-thermal power station is selected for comparison, a photo-thermal unit in the comparison system is replaced by a photovoltaic unit with the same installed capacity, and the result is shown in the following table 1.
TABLE 1 Peak-shaving Effect evaluation results
| Peak shaving effect index | Peak-shaving coal consumption index | Index of power abandon rate of system | |
| Containing light and heat | 8.04 | 3209.2 | 2.31 |
| Without light and heat | 10.45 | 3569.74 | 6.38 |
And (4) analyzing according to each index result:
the peak regulation effect index represents the fitting degree of the sum of the output of each unit of the new energy system and a total load curve, the photothermal power station system is reduced by 23.06 percent compared with the photothermal power station system, the photothermal power station system optimizes the charge-discharge state and the thermal power of the heat storage system of the photothermal power station system based on the net load data, the output of the thermal power unit can be reduced in the net load peak period, the demand of the thermal power unit is increased in the net load valley period, and the peak regulation space of the thermal power unit is improved; the peak regulation coal consumption index represents the coal consumption of the thermal power generating unit in the total peak regulation time period, the total peak regulation coal consumption of the thermal power generating unit of the system can be effectively reduced by about 10.1% when the photothermal power station participates in the peak regulation of the power system, meanwhile, the loss of the thermal power generating unit is reduced by reducing the times and time of uneconomical deep peak regulation, and the service life of the unit is prolonged; the electricity abandonment rate index represents the peak regulation efficiency of the system in the aspect of new energy consumption, the electricity abandonment rate of the photothermal power station system is obviously lower than that of the photothermal power station system, the electricity abandonment rate is reduced by about 63.79%, the photothermal unit relieves the electricity abandonment caused by insufficient peak regulation capacity of the thermal power unit through the flexible heat storage system of the photothermal unit, and the consumption of new energy is promoted.
The method takes a high-proportion renewable energy power generation system containing a photo-thermal power station as a research object, and provides a method for showing the flexible operation peak regulation efficiency of the photo-thermal power station from the aspect of system peak regulation, so as to quantitatively evaluate the contribution of the access of the photo-thermal power station to the system peak regulation level in the aspects of peak regulation effect, peak regulation coal consumption and electricity abandonment rate 3, thereby showing a plurality of advantages in the competition of the photo-thermal power station and other new energy, and the photo-thermal power station can be used as a flexible peak regulation power supply in the future, assist the peak regulation of new energy and a thermal power unit, and stabilize the output of a new energy base; the power supply can also be used as a matched power supply to be bundled with high-proportion renewable energy sources for extra-high voltage direct current delivery, so that the utilization of new energy sources is improved, and the reliability of direct current delivery is guaranteed. Meanwhile, the invention provides a reliable basis for planning a new energy combined power generation system comprising a photo-thermal power station, and provides a new development idea for clean transformation of electric power and construction of a high-proportion renewable energy system in China.
Fig. 4 is a diagram of a peak shaving efficiency evaluation system of a new energy power generation system including a photothermal power station in an embodiment of the present invention. As shown in fig. 4, a peak shaving efficiency evaluation system for a new energy power generation system including a photovoltaic power station includes:
the peak regulation effect index determining module 201 is used for acquiring load electricity consumption, grid-connected power of the generator set and grid-connected power of the energy storage device, and determining a peak regulation effect index by adopting an Euclidean distance calculation method according to the load electricity consumption, the grid-connected power of the generator set and the grid-connected power of the energy storage device; the generator set comprises a photo-thermal unit, a wind turbine generator set, a photovoltaic unit and a thermal power unit.
The peak shaving effect index determining module 201 specifically includes:
a peak-shaving effect index determining unit, configured to determine a peak-shaving effect index according to the following formula:
wherein,
PALL,t＝PC,t+PW,t+PP,t+PE,t+PF,t
in the formula IrIs the peak-shaving effect index, T is the total time, PL,tFor the load demand at time t, PALL,tIs the total grid-connected power P of the generator set at the time tC,tIs the grid-connected power P of the photo-thermal unit at the time tW,tFor the grid-connected power, P, of the wind turbine at time tP,tFor the grid-connected power, P, of the photovoltaic unit at time tE,tFor the grid-connected power, P, of the energy storage device at time tF,tAnd the grid-connected power is the grid-connected power of the thermal power generating unit at the moment t.
The peak-shaving coal consumption determining module 202 is used for acquiring the output value of the thermal power generating unit and determining the peak-shaving coal consumption of the thermal power generating unit in three stages according to the output value of the thermal power generating unit; the three stages are respectively a conventional peak regulation stage, an oil-throwing-free deep peak regulation stage and an oil-throwing deep peak regulation stage.
The peak shaving coal consumption determining module 202 specifically includes:
the peak shaving coal consumption determining unit is used for determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the following formula:
wherein,
in the formula, CFThe total peak coal consumption of the thermal power generating unit is regulated,
the coal consumption of the conventional peak shaving stage of the unit,
in order to avoid the extra loss in the oil feeding depth peak regulation stage and the oil feeding depth peak regulation stage,
the oil feeding amount in the non-oil feeding deep peak shaving stage and the oil feeding deep peak shaving stage, NrNumber of conventional peak shaving units, NdNumber of deeply peak shaving units, PF,t' is the total output of all thermal power generating units at the moment t, PF1Is the minimum value of the total output of the thermal power generating unit, P, in the conventional peak regulation stageF2The minimum value P of the total output of the thermal power generating unit at the stage of no oil injection and deep peak regulationF3The minimum value P of the total output of the thermal power generating unit at the oil feeding depth peak regulation stageFmaxIs the maximum value of the total output of the thermal power generating unit, Pf,i,tA force value P is generated for the ith thermal power generating unit at the moment tJ,iThe rated capacity of the ith thermal power generating unit; n is a radical ofF,i,tA rotor cracking frequency at the moment t of the ith thermal power generating unitiIs a first coefficient of a characteristic function of the consumption of the ith thermal power generating unit, biIs the ith fireSecond coefficient of characteristic function of consumption of electric machine, ciIs the third coefficient of the power consumption characteristic function of the ith thermal power generating unit, beta is the actual operation loss coefficient of the thermal power plant, Qoil,i,tThe oil feeding amount at the t moment of the oil feeding depth peak regulation stage of the ith thermal power generating unit, BoilFor the conversion coefficient of oil consumption-coal consumption,
the rated capacity of the thermal power generating unit which only participates in conventional peak shaving is set as the ith thermal power generating unit;
the rated capacity of the ith thermal power generating unit capable of deeply regulating the peak is obtained,
is the maximum load rate of the ith thermal power generating unit,
the minimum load rate of the ith thermal power generating unit in the conventional peak shaving stage,
the minimum load rate of the ith thermal power generating unit in the deep peak shaving stage without oil feeding,
and (4) the minimum load rate of the ith thermal power generating unit in the oil feeding depth peak regulation stage.
The electricity abandonment rate index determining module 203 is used for acquiring the predicted output value and the actual output value of the wind turbine generator and the predicted output value and the actual output value of the photovoltaic generator, and determining the electricity abandonment rate index according to the predicted output value and the actual output value of the wind turbine generator and the predicted output value and the actual output value of the photovoltaic generator.
The power abandonment rate index determining module 203 specifically includes:
a power abandonment rate index determination unit for determining a power abandonment rate index according to the following formula:
in the formula IcurIn order to provide an index of the power abandonment rate,
is a predicted output force value of the wind turbine generator at time t, P'W,tIs the actual output value of the wind turbine at the time t,
is a predicted output force value of the photovoltaic unit at the moment t, P'P,tAnd the actual output value of the photovoltaic unit at the moment t is obtained.
And the peak regulation efficiency evaluation module 204 is used for carrying out peak regulation efficiency evaluation according to the peak regulation effect index, the peak regulation coal consumption and the electricity abandonment rate index.
For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In summary, this summary should not be construed to limit the present invention.
Claims (8)
1. A peak shaving efficiency evaluation method for a new energy power generation system comprising a photo-thermal power station is characterized by comprising the following steps:
acquiring load electricity consumption, grid-connected power of a generator set and grid-connected power of an energy storage device, and determining a peak regulation effect index by adopting an Euclidean distance calculation method according to the load electricity consumption, the grid-connected power of the generator set and the grid-connected power of the energy storage device; the generator set comprises a photo-thermal unit, a wind turbine generator set, a photovoltaic unit and a thermal power unit;
acquiring the output value of the thermal power generating unit, and determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the output value of the thermal power generating unit; the three stages are respectively a conventional peak regulation stage, an oil-throwing-free deep peak regulation stage and an oil-throwing deep peak regulation stage;
acquiring a predicted output value and an actual output value of the wind turbine generator and a predicted output value and an actual output value of the photovoltaic generator, and determining a power abandonment rate index according to the predicted output value and the actual output value of the wind turbine generator and the predicted output value and the actual output value of the photovoltaic generator;
and evaluating the peak shaving efficiency according to the peak shaving effect index, the peak shaving coal consumption and the electricity abandonment rate index.
2. The method for evaluating the peak shaving efficiency of the new energy power generation system including the photothermal power station according to claim 1, wherein the step of determining the peak shaving effect index by using the euclidean distance calculation method according to the load power consumption, the grid-connected power of the generator set, and the grid-connected power of the energy storage device specifically comprises the steps of:
determining a peak shaving effect index according to the following formula:
wherein,
PALL,t＝PC,t+PW,t+PP,t+PE,t+PF,t
in the formula IrIs the peak-shaving effect index, T is the total time, PL,tFor the load demand at time t, PALL,tIs the total grid-connected power P of the generator set at the time tC,tIs the grid-connected power P of the photo-thermal unit at the time tW,tFor the grid-connected power, P, of the wind turbine at time tP,tFor the grid-connected power, P, of the photovoltaic unit at time tE,tFor the grid-connected power, P, of the energy storage device at time tF,tAnd the grid-connected power is the grid-connected power of the thermal power generating unit at the moment t.
3. The method for evaluating the peak shaving efficiency of the new energy power generation system of the photothermal power station according to claim 2, wherein the determining the peak shaving coal consumption of the thermal power unit in three stages according to the output value of the thermal power unit specifically comprises:
determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the following formula:
wherein,
in the formula, CFThe total peak coal consumption of the thermal power generating unit is regulated,
the coal consumption of the conventional peak shaving stage of the unit,
in order to avoid the extra loss in the oil feeding depth peak regulation stage and the oil feeding depth peak regulation stage,
the oil feeding amount in the non-oil feeding deep peak shaving stage and the oil feeding deep peak shaving stage, NrNumber of conventional peak shaving units, NdNumber of deeply peak shaving units, PF,t' is the total output of all thermal power generating units at the moment t, PF1Is the minimum value of the total output of the thermal power generating unit, P, in the conventional peak regulation stageF2The minimum value P of the total output of the thermal power generating unit at the stage of no oil injection and deep peak regulationF3The minimum value P of the total output of the thermal power generating unit at the oil feeding depth peak regulation stageFmaxIs the maximum value of the total output of the thermal power generating unit, Pf,i,tA force value P is generated for the ith thermal power generating unit at the moment tJ,iThe rated capacity of the ith thermal power generating unit; n is a radical ofF,i,tA rotor cracking frequency at the moment t of the ith thermal power generating unitiIs a first coefficient of a characteristic function of the consumption of the ith thermal power generating unit, biA second coefficient being a function of the consumption characteristic of the ith thermal power generating unit, ciIs the third coefficient of the power consumption characteristic function of the ith thermal power generating unit, beta is the actual operation loss coefficient of the thermal power plant, Qoil,i,tThe oil feeding amount at the t moment of the oil feeding depth peak regulation stage of the ith thermal power generating unit, BoilFor the conversion coefficient of oil consumption-coal consumption,
the rated capacity of the thermal power generating unit which only participates in conventional peak shaving is set as the ith thermal power generating unit;
the rated capacity of the ith thermal power generating unit capable of deeply regulating the peak is obtained,
is the maximum load rate of the ith thermal power generating unit,
the minimum load rate of the ith thermal power generating unit in the conventional peak shaving stage,
the minimum load rate of the ith thermal power generating unit in the deep peak shaving stage without oil feeding,
and (4) the minimum load rate of the ith thermal power generating unit in the oil feeding depth peak regulation stage.
4. The method for evaluating the peak shaving efficiency of the new energy power generation system with the photothermal power station according to claim 3, wherein the determining of the power rejection index according to the predicted power output value and the actual power output value of the wind turbine generator and the predicted power output value and the actual power output value of the photovoltaic generator specifically comprises:
determining a power curtailment index according to the following formula:
in the formula IcurIn order to provide an index of the power abandonment rate,
is a predicted output force value of the wind turbine generator at time t, P'W,tIs the actual output value of the wind turbine at the time t,
is a predicted output force value of the photovoltaic unit at the moment t, P'P,tAnd the actual output value of the photovoltaic unit at the moment t is obtained.
5. The utility model provides a new forms of energy power generation system peak regulation efficiency evaluation system who contains light and heat power station which characterized in that includes:
the peak regulation effect index determining module is used for acquiring load electricity consumption, grid-connected power of a generator set and grid-connected power of an energy storage device, and determining a peak regulation effect index by adopting an Euclidean distance calculation method according to the load electricity consumption, the grid-connected power of the generator set and the grid-connected power of the energy storage device; the generator set comprises a photo-thermal unit, a wind turbine generator set, a photovoltaic unit and a thermal power unit;
the peak-regulating coal consumption determining module is used for acquiring the output value of the thermal power generating unit and determining the peak-regulating coal consumption of the thermal power generating unit in three stages according to the output value of the thermal power generating unit; the three stages are respectively a conventional peak regulation stage, an oil-throwing-free deep peak regulation stage and an oil-throwing deep peak regulation stage;
the device comprises a power abandonment rate index determining module, a power abandonment rate index determining module and a power abandonment rate index determining module, wherein the power abandonment rate index determining module is used for acquiring a predicted output value and an actual output value of a wind turbine generator and a predicted output value and an actual output value of a photovoltaic generator, and determining the power abandonment rate index according to the predicted output value and the actual output value of the wind turbine generator and the predicted output value and the actual output value of the photovoltaic generator;
and the peak regulation efficiency evaluation module is used for carrying out peak regulation efficiency evaluation according to the peak regulation effect index, the peak regulation coal consumption and the electricity abandonment rate index.
6. The system for evaluating the peak shaving efficiency of the new energy power generation system including the photothermal power station according to claim 5, wherein the peak shaving effect index determining module specifically includes:
a peak-shaving effect index determining unit, configured to determine a peak-shaving effect index according to the following formula:
wherein,
PALL,t＝PC,t+PW,t+PP,t+PE,t+PF,t
in the formula IrIs the peak-shaving effect index, T is the total time, PL,tFor the load demand at time t, PALL,tIs the total grid-connected power P of the generator set at the time tC,tIs the grid-connected power P of the photo-thermal unit at the time tW,tFor the grid-connected power, P, of the wind turbine at time tP,tFor the grid-connected power, P, of the photovoltaic unit at time tE,tFor the grid-connected power, P, of the energy storage device at time tF,tAnd the grid-connected power is the grid-connected power of the thermal power generating unit at the moment t.
7. The peak shaving efficiency evaluation system for the new energy power generation system including the photothermal power station according to claim 6, wherein the peak shaving coal consumption determination module specifically includes:
the peak shaving coal consumption determining unit is used for determining the peak shaving coal consumption of the thermal power generating unit in three stages according to the following formula:
wherein,
in the formula, CFThe total peak coal consumption of the thermal power generating unit is regulated,
the coal consumption of the conventional peak shaving stage of the unit,
in order to avoid the extra loss in the oil feeding depth peak regulation stage and the oil feeding depth peak regulation stage,
the oil feeding amount in the non-oil feeding deep peak shaving stage and the oil feeding deep peak shaving stage, NrNumber of conventional peak shaving units, NdNumber of deeply peak shaving units, PF,t' is the total output of all thermal power generating units at the moment t, PF1Is the minimum value of the total output of the thermal power generating unit, P, in the conventional peak regulation stageF2The minimum value P of the total output of the thermal power generating unit at the stage of no oil injection and deep peak regulationF3The minimum value P of the total output of the thermal power generating unit at the oil feeding depth peak regulation stageFmaxIs the maximum value of the total output of the thermal power generating unit, Pf,i,tA force value P is generated for the ith thermal power generating unit at the moment tJ,iThe rated capacity of the ith thermal power generating unit; n is a radical ofF,i,tA rotor cracking frequency at the moment t of the ith thermal power generating unitiIs a first coefficient of a characteristic function of the consumption of the ith thermal power generating unit, biA second coefficient being a function of the consumption characteristic of the ith thermal power generating unit, ciIs the third coefficient of the power consumption characteristic function of the ith thermal power generating unit, beta is the actual operation loss coefficient of the thermal power plant, Qoil,i,tThe oil feeding amount at the t moment of the oil feeding depth peak regulation stage of the ith thermal power generating unit, BoilFor the conversion coefficient of oil consumption-coal consumption,
the rated capacity of the thermal power generating unit which only participates in conventional peak shaving is set as the ith thermal power generating unit;
the rated capacity of the ith thermal power generating unit capable of deeply regulating the peak is obtained,
is the maximum load rate of the ith thermal power generating unit,
the minimum load rate of the ith thermal power generating unit in the conventional peak shaving stage,
the minimum load rate of the ith thermal power generating unit in the deep peak shaving stage without oil feeding,
and (4) the minimum load rate of the ith thermal power generating unit in the oil feeding depth peak regulation stage.
8. The peak shaving efficiency evaluation system for the new energy power generation system including the photothermal power station according to claim 7, wherein the curtailment rate index determination module specifically includes:
a power abandonment rate index determination unit for determining a power abandonment rate index according to the following formula:
in the formula IcurIn order to provide an index of the power abandonment rate,
is a predicted output force value of the wind turbine generator at time t, P'W,tIs the actual output value of the wind turbine at the time t,
is a predicted output force value of the photovoltaic unit at the moment t, P'P,tAnd the actual output value of the photovoltaic unit at the moment t is obtained.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011021488.8A CN112184000B (en) | 2020-09-25 | 2020-09-25 | Peak regulation efficiency evaluation method and system for new energy power generation system containing photo-thermal power station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011021488.8A CN112184000B (en) | 2020-09-25 | 2020-09-25 | Peak regulation efficiency evaluation method and system for new energy power generation system containing photo-thermal power station |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112184000A true CN112184000A (en) | 2021-01-05 |
| CN112184000B CN112184000B (en) | 2024-02-20 |
Family
ID=73944807
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011021488.8A Active CN112184000B (en) | 2020-09-25 | 2020-09-25 | Peak regulation efficiency evaluation method and system for new energy power generation system containing photo-thermal power station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112184000B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113036820A (en) * | 2021-03-16 | 2021-06-25 | 国网甘肃省电力公司电力科学研究院 | Photo-thermal power station participated bilateral peak regulation auxiliary service market simulation operation method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106899035A (en) * | 2017-03-15 | 2017-06-27 | 中国电力科学研究院 | Inversion system participates in the appraisal procedure and device of grid-connected rear power distribution network Operating ettectiveness |
| CN108053109A (en) * | 2017-12-08 | 2018-05-18 | 长春工程学院 | A kind of distributed energy generating set energy efficiency evaluating method |
| CN110414744A (en) * | 2019-08-07 | 2019-11-05 | 东北电力大学 | The hierarchy optimization method of ferric phosphate lithium cell energy-storage system auxiliary fired power generating unit depth peak regulation |
| CN111614087A (en) * | 2020-06-09 | 2020-09-01 | 国网吉林省电力有限公司电力科学研究院 | Energy storage double-layer optimization configuration method participating in power grid peak shaving |
-
2020
- 2020-09-25 CN CN202011021488.8A patent/CN112184000B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106899035A (en) * | 2017-03-15 | 2017-06-27 | 中国电力科学研究院 | Inversion system participates in the appraisal procedure and device of grid-connected rear power distribution network Operating ettectiveness |
| CN108053109A (en) * | 2017-12-08 | 2018-05-18 | 长春工程学院 | A kind of distributed energy generating set energy efficiency evaluating method |
| CN110414744A (en) * | 2019-08-07 | 2019-11-05 | 东北电力大学 | The hierarchy optimization method of ferric phosphate lithium cell energy-storage system auxiliary fired power generating unit depth peak regulation |
| CN111614087A (en) * | 2020-06-09 | 2020-09-01 | 国网吉林省电力有限公司电力科学研究院 | Energy storage double-layer optimization configuration method participating in power grid peak shaving |
Non-Patent Citations (1)
| Title |
|---|
| 任峰;: "热电联产供热***运行效能综合评价", 电力建设, no. 08, pages 6 - 10 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113036820A (en) * | 2021-03-16 | 2021-06-25 | 国网甘肃省电力公司电力科学研究院 | Photo-thermal power station participated bilateral peak regulation auxiliary service market simulation operation method |
| CN113036820B (en) * | 2021-03-16 | 2023-04-28 | 国网甘肃省电力公司电力科学研究院 | Bilateral peak shaving auxiliary service market simulation operation method participated in photo-thermal power station |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112184000B (en) | 2024-02-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109767078B (en) | Multi-type power supply maintenance arrangement method based on mixed integer programming | |
| CN112994115B (en) | New energy capacity configuration method based on WGAN scene simulation and time sequence production simulation | |
| CN110930073B (en) | Day-ahead scheduling method for wind-light-photo-thermal combined power generation system considering price type demand response | |
| CN109449993A (en) | A kind of Multiple Time Scales production analogy method towards electric system of providing multiple forms of energy to complement each other | |
| CN103248048B (en) | Abandoned wind electric quantity estimation method | |
| CN112531786A (en) | Regional power grid power delivery method | |
| CN112541609A (en) | Wind-light-heat and water energy storage combined renewable energy power generation system capacity optimization model | |
| CN112953364A (en) | Photothermal-wind power-photovoltaic combined system operation optimization model considering photothermal power station service life | |
| Zhu et al. | Life cycle analysis of greenhouse gas emissions of China's power generation on spatial and temporal scale | |
| CN114548584A (en) | Optimization method of comprehensive energy system containing electric conversion gas and carbon capture equipment | |
| CN111130145B (en) | Wind-solar unit assembly capacity optimization planning method based on wind and light discarding | |
| CN111049179A (en) | New energy power generation system multi-objective optimization scheduling method considering uncertainty | |
| CN112184000B (en) | Peak regulation efficiency evaluation method and system for new energy power generation system containing photo-thermal power station | |
| CN113541195A (en) | Method for consuming high-proportion renewable energy in future power system | |
| CN112653137A (en) | Photothermal power station and wind power system considering carbon transaction, and low-carbon scheduling method and system | |
| CN110165699B (en) | Photo-thermal power station optimal configuration method based on individual optimization and system multi-energy complementation | |
| CN110991927A (en) | Power supply planning method for improving intermittent power supply complementary effect of regional power grid at different regions | |
| Hu et al. | Low carbon economic dispatch of multi-energy combined system considering carbon trading | |
| CN113361900A (en) | System and method for planning and evaluating power grid in area containing fire, wind, light and power storage source | |
| CN114386256A (en) | Regional electric heating system optimal scheduling method considering flexibility constraint of electric heating equipment and heat supply network characteristics | |
| CN110110991B (en) | Method for constructing comprehensive energy efficiency evaluation system of seawater desalination multi-source multi-load system | |
| Qi et al. | A Distributionally Robust Optimization Scheduling Model for Regional Integrated Energy Systems Considering Hot Dry Rock Co-Generation. | |
| CN111786419A (en) | Regional power grid energy configuration system | |
| Sha et al. | Robust economic dispatching of high renewable energy penetrated system with concentrating solar power providing reserve capacity | |
| Jinglin et al. | Multi-objective Collaborative Planning Method for Micro-energy Systems Considering Thermoelectric Coupling Clusters |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |