CN113112293A - Business mode of centralized energy storage power station based on income measurement and calculation - Google Patents
Business mode of centralized energy storage power station based on income measurement and calculation Download PDFInfo
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Abstract
The invention discloses a business model of a centralized energy storage power station based on income measurement and calculation, which comprises four business analysis steps: step 1, collecting parameters required by profit calculation, including charging and discharging power, discharging depth, rated capacity and service life of an energy storage power station, and time-of-use price, peak-to-valley period division and medium rate of two parts of a region where the energy storage power station is located; step 2, carrying out income measurement and calculation according to a profit mode; step 3, determining the income condition and the investment return time limit of the energy storage power station in a certain period by combining the construction and operation costs of the energy storage power station; and 4, determining whether an energy storage power station is built in the area or not according to the calculation result. The method refines a gain measurement formula of the centralized energy storage power station participating in the power peak regulation auxiliary service market, combines the gain measurement formula with peak-valley arbitrage, provides a business model of the centralized energy storage power station, and considers the discharge depth and the winning rate on the basis to enable the business model to be more practical.
Description
Technical Field
The invention relates to the field of power energy storage, in particular to a business model of a centralized energy storage power station based on income measurement and calculation.
Background
The economic benefit of energy storage is mainly determined by the profitability model and the investment cost. Among the investment costs of energy storage, the construction costs account for a large proportion. The construction cost can be determined during project construction and is irrelevant to the running condition of subsequent energy storage. Therefore, if the research is carried out by taking the power grid side as the visual angle, the investment cost of energy storage does not need to be taken as a main research object. In recent years, the investment cost of energy storage is continuously reduced, and in order to effectively improve the economic benefit of energy storage, a plurality of students research the profit mode of energy storage. An energy storage optimization configuration method based on an operation strategy intelligent generation method is provided in incremental power distribution system energy storage optimization configuration (Liuwenxia, Pomengyun Yao, Wanjing, Teng Yue, China Motor engineering newspaper 1-12 (2020-09-28)), and the method can effectively improve the comprehensive benefit of energy storage configuration. Research shows that when the system is insufficient in abundance, the power supply reliability improvement benefit of the configuration energy storage is better. The policy analysis of the energy storage commercialization (Li Jianlin, Li ya Xin, Zhou xi superior, Wang Li, protection and control of the power system, 1-11[2020-09-28]) analyzes the policy key points and the profit modes of the energy storage technology in the application field, province and city action plans and enterprise demonstration projects, provides corresponding suggestions and prospects for the current energy storage commercialization process, and has certain reference significance for improving the energy storage benefit value. In order to solve the problem of renewable energy grid-connected consumption in the 'three-north' area of China, a business operation mode of shared energy storage facing to renewable energy consumption is provided and an application prospect of a blockchain technology in the background of the energy internet in shared energy storage transaction is discussed. The research of the business model selection of the energy storage power station based on the application price system is carried out on the basis of the business model research of the battery energy storage power station at the side of the power grid, namely the analysis of the application price system (Lixiangqi flag, leaf ze, Peng-purple and Zhou-hong, price theory and practice 2019(09):124-127), and the purpose is to ensure the economic benefit of the energy storage power station as an independent power market participant. Electrochemical energy storage application and key problems (Hujing, Huangbi, Jianglianping, Fengkaihui, Liqihui and Chilobrachys) adapted to the power market environment take electrochemical energy storage as a research object, and provide a specific application scene, a commercial mode and an investment return mechanism of the electrochemical energy storage. On the basis of quantitative analysis of different scenes, 6 key problems such as project investment attributes, development planning, electricity price and market mechanisms, access and scheduling operation management, safety protection, a sharing platform and the like are respectively analyzed, and related suggestions are provided to promote healthy and ordered development of electrochemical energy storage. The difficulty and suggestion (Zhongming, China electric power enterprise management, 2019(31):28-31) of promoting the commercialization of the stored energy in China explains the current development situation of the energy storage industry in China and discusses the difficulty of the commercialization of the stored energy in China in combination with the guidance and suggestion issued by the country. A profit mode optimization strategy using a tabu search algorithm is provided aiming at the problems of poor economic benefit, limited scale development and the like of the energy storage battery at the present stage in the research on profit mode optimization strategy of the energy storage battery based on the tabu search algorithm (Zhuqing, Liangguang, Ningjian, Zhangyingguo, Zhang Ming and Yuanbei, electric power system protection and control 2019,47(18): 121-plus 127). The simulation results prove that the economy of the proposed strategy is better. In regional integrated energy service business model design and cost benefit analysis (sino-jinyue, university of north china academic press 2019), an integrated energy system is taken as a service object, a mode of an integrated energy service subject for investment and operation of the integrated energy system is provided, and an integrated energy service economic benefit measuring and calculating tool is constructed. The ' energy storage power station economy and development status analysis ' (Li Guangdong, Tao, Min, electrician-electric ' 2019(01):1-4+9) lists a plurality of benefits brought to all parties in the power system by the energy storage power station, and the economic feasibility of the energy storage power station under the condition of a profit mode of peak clipping and valley filling is evaluated according to ' construction project economic evaluation methods and parameters ' (the third edition). A planning method for combined configuration of a wind power field and an energy storage power station in a power transmission network considering risk reserve constraint and multi-energy unit combined scheduling constraint is provided in double-layer optimization of wind storage capacity of the power transmission network (Liu Ruo river, Jia Yan ice, Paconing, Korea, Power grid technology 1-11[2020-09-28]), wherein the risk reserve constraint and the multi-energy unit combined scheduling constraint are considered, the flexibility resource adjustment capability of the power grid is fully utilized, and an energy storage peak-load-adjusting profit mode under a peak-valley power price policy is explored.
However, the profit model of the peak shaving auxiliary service market, which is participated by the stored energy, is not refined in the existing business model, and meanwhile, the profit measurement of the stored energy in the existing business model is far from the actual profit situation of the energy storage power station. Therefore, the person skilled in the art is working to develop a business model of a centralized energy storage power station based on revenue metering.
Disclosure of Invention
In view of the above defects in the prior art, the technical problem to be solved by the invention is how to refine the profit model and profit measurement of the energy storage participating in the peak shaving auxiliary service market, and combine the peak-valley profit of the energy storage power station based on the electricity price in two parts of time to obtain the maximum profit of the energy storage power station.
In order to achieve the purpose, the invention provides a business model of a centralized energy storage power station based on income measurement, which is characterized by comprising four business analysis steps:
step 1, collecting parameters required by profit calculation, including charging and discharging power, discharging depth, rated capacity and service life of an energy storage power station, and time-of-use price, peak-to-valley period division and medium rate of two parts of a region where the energy storage power station is located;
step 2, carrying out income measurement and calculation according to a profit mode;
step 3, determining the income condition and the investment return time limit of the energy storage power station in a certain period by combining the construction and operation costs of the energy storage power station;
step 4, determining whether an energy storage power station is built in the area or not according to the calculation result;
wherein the step 2 comprises:
2.1, energy storage participation peak valley arbitrage;
2.2, energy storage participates in peak regulation.
Further, the calculation formula of step 2.1 is:
in the formula: rhodis(t),ρch(t) the electricity prices of the discharging period and the charging period, respectively; p is a radical ofdis(t),pchAnd (T) is the discharge power and the charge power of the energy storage station respectively, and T is the upper limit of the daily charge-discharge times.
Further, the upper limit T of the daily charging and discharging times in the calculation formula is set by an operator of the energy storage power station according to the requirement.
Further, the energy storage participating mode in the peak shaving in the step 2.2 is mainly divided into electric energy storage peak shaving and start-stop peak shaving.
Further, the gain calculation formula of the electrical energy storage peak shaving is as follows:
in the formula: k is an energy storage peak regulation compensation coefficient, and a power system operation management department gives a certain subsidy to the energy storage power station according to the contribution of the energy storage power station to the power grid peak regulation; λ is the medium rate, T1Participating in peak shaving time periods for energy storage, T-T1The time for the stored energy to participate in the arbitrage between peaks and valleys.
Further, the winning rate λ is determined by the winning bid history data.
Further, the peak regulation duration of the energy storage power station can participate in peak-valley arbitrage in the rest period according to the declaration period, so that the benefit maximization is realized.
Further, the start-stop peak regulation income calculation formula is as follows:
in the formula: k is a radical of2Compensation factor for start-stop peak regulation, T2And the time length of the energy storage participating in starting, stopping and peak regulation is defined as the lambda as the medium rate.
Further, after the energy storage power station wins the bid in the starting, stopping and peak-shaving time period, the energy storage power station participates in peak-valley arbitrage in the rest time period according to the declaration time period.
Further, the centralized energy storage power station can participate in peak-valley arbitrage in 365 days a year.
Technical effects
1. A profit measurement formula of the centralized energy storage power station participating in the power peak regulation auxiliary service market is refined and combined with peak-valley arbitrage, and a business mode of the centralized energy storage power station is provided.
2. The depth of discharge and the winning rate are fully considered, so that the business model is more practical.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 is a business model flow diagram of a preferred embodiment of the present invention.
Detailed Description
The technical contents of the preferred embodiments of the present invention will be more clearly and easily understood by referring to the drawings attached to the specification. The present invention may be embodied in many different forms of embodiments and the scope of the invention is not limited to the embodiments set forth herein.
As shown in fig. 1, taking an actual centralized energy storage power station in a certain place as an example, the revenue calculation is performed, and the basic information is as follows:
the design capacity of the energy storage power station selected by the calculation is 75MW/300 MWh. The charge state of the energy storage is 0.1-0.9. The energy storage power station project is provided with 60 prefabricated cabin type energy storage batteries (the capacity of each battery cabin is 5MWh), 30 pressure raising cabins (each pressure raising cabin comprises 4 PCS with 630kW and 1 2500kVA pressure raising transformer), 8 high-voltage confluence cabins and 3 centralized control rooms. The project comprises 2 sub-projects, wherein the sub-project 1 is a No. 1 site 25MW/100MWh energy storage power station project and is connected with a new energy first-stage 35kV transformer substation 10kV bus; the sub-project 2 is a 2# and 3# site 50MW/200MWh energy storage power station project, and is connected to a new energy second-stage 110kV transformer substation 10kV bus. The total number of the 8 grid-connected points is 8, wherein the capacity of 2 grid-connected points in the No. 1 field is 12.5MW/50 MWh; 2 grid-connected points of the No. 2 field, wherein the capacity is 10MW/40 MWh; 4 grid-connected points of the 3# site, the capacity of which is 7.5MW/30 MWh. The energy storage project is planned to be put into operation before 12 months end in 2020. The energy storage power station is put into operation, and a double charging and double discharging mode is adopted, so that the power load can be reasonably transferred, the peak clipping and valley filling can be realized, and the power cost can be reduced; the electric power investment is reduced or delayed, and the reasonable allocation of social resources is promoted; effectively promote carbon emission reduction and improve social benefits. The peak-to-valley electricity rate period is divided according to table 1:
TABLE 1
Wherein the peak electricity price is 0.9215 yuan/kWh, the normal electricity price is 0.6192 yuan/kWh, the valley electricity price is 0.3854 yuan/kWh, and the peak electricity price is 0.9785 yuan/kWh in summer 7, 8 and 9 months.
1. Energy storage participated peak-valley arbitrage
Except for the daily peak-valley arbitrage yield of 7, 8 and 9 months:
7. peak-valley arbitrage per day for 8, 9 months:
2. peak regulation with energy storage
1) Participating in peak regulation of electric energy storage
In the calculation, 0.15 yuan/(kWh) is selected for calculation. In addition, considering that the energy storage participating peak shaving auxiliary service market needs bidding, the bid rate is considered in the profit mode, and the bid rate is assumed to be 0.4
The daily gains except for months 7, 8, and 9 are:
where k is the market quote for the stored energy participating in the peak shaver service.
7. The daily gains for months 8 and 9 are:
2) participating in start-stop peak regulation
Taking the compensation price of Jiangsu province for the peak shaving electricity energy storage during starting and stopping as 0.5 yuan/(kWh) as an example, the electricity energy storage is discussed to participate in the peak shaving market during starting and stopping from three conditions of peak shaving, valley filling, peak shaving and valley filling. In addition, considering that the energy storage participating peak shaving auxiliary service market needs bidding, the bid rate is considered in the profit mode, and the bid rate is assumed to be 0.4
(1) For peak clipping
Peak clipping resources are needed in summer power consumption peak time periods, so that the power storage energy can participate in starting, stopping and peak shaving by stopping charging. In summer, the temperature is 14: 00-15: 00 in the period of the highest body temperature sensitivity, so that the air conditioning load is increased and the peak electricity utilization period occurs. Based on the scene, the dispatching center can issue instructions for participating in starting and stopping the service resources. The electric energy storage from 14:00 to 15:00 is in peak regulation and profit by starting and stopping the machine, and the other time periods are in low-charge and high-discharge profit.
Summer participation start-stop peak regulation daily gain:
except for summer, other seasons require less peak clipping resources, so the peak-valley arbitrage benefits.
(2) For filling in the valley
Filling in the valley is mostly to promote new forms of energy to consume, because renewable energy permeability increases electric power system and needs burden spare resources urgently, combines the electricity energy storage operation characteristics, can be through starting the machine at the flat valley time quantum and charging or shutting down in the peak period in order to participate in opening and stopping the service.
The daily gains except for months 7, 8, and 9 are:
7. the daily gains for months 8 and 9 are:
(3) peak clipping and valley filling
Considering the combination of the two situations, the peak clipping and the valley filling are both performed in summer, and only the valley filling is performed in other seasons.
The daily gains except for months 7, 8, and 9 are:
7. the daily gains for months 8 and 9 are:
the foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. A business model of a centralized energy storage power station based on revenue measurement is characterized by comprising four business analysis steps:
step 1, collecting parameters required by profit calculation, including charging and discharging power, discharging depth, rated capacity and service life of an energy storage power station, and time-of-use price, peak-to-valley period division and medium rate of two parts of a region where the energy storage power station is located;
step 2, carrying out income measurement and calculation according to a profit mode;
step 3, determining the income condition and the investment return time limit of the energy storage power station in a certain period by combining the construction and operation costs of the energy storage power station;
step 4, determining whether an energy storage power station is built in the area or not according to the calculation result;
wherein the step 2 comprises:
2.1, energy storage participation peak valley arbitrage;
2.2, energy storage participates in peak regulation.
2. A business model of a centralized energy storage power station based on revenue estimation according to claim 1, characterized by the fact that the calculation formula of step 2.1 is:
in the formula: rhodis(t),ρch(t) the electricity prices of the discharging period and the charging period, respectively; p is a radical ofdis(t),pch(t) respectively representing the discharge power and the charge power of the energy storage station; t is the upper limit of the number of times of charge and discharge per day.
3. A business model of a centralized energy storage power station based on revenue calculation according to claim 2, characterized in that the upper bound of the number of charging and discharging times per day T in the calculation formula is set by the operator of the energy storage power station on demand.
4. A business model of a centralized energy storage power station based on revenue estimation as per claim 1, characterized in that the modes of energy storage participation peak shaving in step 2.2 are mainly divided into electrical energy storage peak shaving and start-stop peak shaving.
5. A business model of a centralized energy storage power station based on revenue estimation according to claim 4, characterized in that the revenue calculation formula of the electrical energy storage peak shaving is:
in the formula: k, energy storage peak regulation is a compensation coefficient, and a power system operation management department gives a certain subsidy to the energy storage power station according to the contribution of the energy storage power station to power grid peak regulation; λ is the medium rate, T1Participating in peak shaving time periods for energy storage, T-T1The time for the stored energy to participate in the arbitrage between peaks and valleys.
6. A business model of a centralized energy storage power plant based on revenue estimation according to claim 5, characterized in that the winning rate λ is determined by passing winning bid history data.
7. A business model of a centralized energy storage power station based on revenue estimation as claimed in claim 5, characterized in that the peak shaving duration of the energy storage power station can be based on the reporting period and the peak-valley arbitrage in the rest period, thereby achieving the maximum revenue.
8. A business model of a centralized energy storage power station based on revenue estimation according to claim 4, characterized in that the start-stop peak shaver revenue calculation formula is:
in the formula: k is a radical of2Compensation factor for start-stop peak regulation, T2And the time length of the energy storage participating in starting, stopping and peak regulation is defined as the lambda as the medium rate.
9. The revenue metering based business model of centralized energy storage plants of claim 8, wherein the start-stop peak shaving period is based on the reporting period participation after the energy storage plants have been bid, and the energy storage plants participate in peak-valley arbitrage during the remaining period.
10. A business model of a revenue metering based centralized energy storage power station as claimed in claim 1, wherein the centralized energy storage power station can participate in peak and valley arbitrage for 365 days a year.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113915117A (en) * | 2021-10-20 | 2022-01-11 | 西安热工研究院有限公司 | Method for evaluating effect of changing electric feed pump into steam pump |
| CN117459027A (en) * | 2023-12-26 | 2024-01-26 | 国网湖北省电力有限公司经济技术研究院 | Centralized shared energy storage optimal configuration method, device, equipment and medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113915117A (en) * | 2021-10-20 | 2022-01-11 | 西安热工研究院有限公司 | Method for evaluating effect of changing electric feed pump into steam pump |
| CN113915117B (en) * | 2021-10-20 | 2024-01-30 | 西安热工研究院有限公司 | Effect evaluation method for changing electric water supply pump into steam pump |
| CN117459027A (en) * | 2023-12-26 | 2024-01-26 | 国网湖北省电力有限公司经济技术研究院 | Centralized shared energy storage optimal configuration method, device, equipment and medium |
| CN117459027B (en) * | 2023-12-26 | 2024-03-08 | 国网湖北省电力有限公司经济技术研究院 | Centralized shared energy storage optimal configuration method, device, equipment and medium |
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