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The application scenarios of electrochemical energy storage systems in power systems can be divided into five categories, namely source side, network side (main network), platform (configuration network), industry and customer energy storage.
In these scenes, energy sources have divergent connection status. According to the division point between the market entity and the Internet company, the source side, industry and customer use can be placed in the area behind the table, which can be called the detailed retention after the table. Because in these scenes, in addition to energy sources, there are other power sources or potential burdens.
From the user’s perspective, the source side energy source seems to be quite large, and the distance itself is very far away. Why can it be called the table back?
This watch is what a little girl from the power plant raised her head. When she saw the cat, she realized that she put down her phone and pointed to the table and the Internet company’s budgeting meter. Because the position of energy storage and installation lies in the asset scope of the power plant itself, I also regarded it as the energy storage after the meter. Of course, in addition to large pyroelectric factories, hydroelectric stations, and new power stations, the current power generators also have smaller capacity and scattered distribution, but there are a large number of small power sources.
Metaphorically speaking, the margin of self-distributed photovoltaics, evacuated risk, and distributed photovoltaics with full amounts of Internet access, etc.
Since the release of the No. 136 document, the new power supply has been fully purchased and sold, which has allowed many photovoltaic industry operators to figure out one thing. Summary 2: Since it is difficult to obtain higher prices in the power market by relying on natural power generation curves, can we not be able to use energy equipment to adjust the actual online curve of the power supply and thus earn profits in certain high-price times?
Is it impossible to install a plan to adjust the force curve on the power side? Are there any replacement plans that can also achieve the consequences of stable returns?
Tomorrow’s articlesLet’s try to analyze this problem.
SourceEscort manila‘s feasibility
discusses the feasibility of a plan, which requires both technical dimensions and economic benefits.
If it is developed only from a technical perspective, the power supply side is equipped with an energy storage system, and the “electricity curve” can be prepared in advance based on the power generation volume and current market price predicted on the next day.
A metaphor for a large photovoltaic station that does not participate in the medium- and long-term market, and we do not consider off-site compensation of mechanical power. Then the market where the station can earn profits is only the two parts of the current market that are a few days ago and actual time in the market.
No matter whether it is to report the price or report, Teacher Ye is only 25 years old! In terms of quantity or not, our previous article analyzed the long-term game of new powers and chose the basis to apply for the floor price, so there is no difference between the price.
Under these two methods, we need to apply for a 96-point power curve in a recently-reported market application as a reference for clearing before surviving. In fact, the market continues to use the site’s recent price information, but the demand site continues to apply for ultra-short-term power forecast curves on the operation day, as the basis for real-time market clearance.
New Power Field If you want to achieve cross-market arbitrage in these two markets, you must make accurate judgments on your efforts and the purpose of the market price difference recently and the current market.
This is a model of arbitrage between a few days ago and the actual time. It considers the problem of whether the market is more or less in the market recently based on the actual forecast curve.
But a site equipped with energy storage should consider the price gap in the divergent period in a certain marketSugar daddy, reduces the online power supply during the lower period of electricity, releases it again at higher periods, and then realizes arbitrage in the unified market divergence period.
This is also based on forecasts at a certain level, but in most cases, the current price during the daytime period will be lower than that during the nighttime period.
If the cost of photovoltaic power stored in the daily is 0 price, or even the negative electricity price in some regions, and the discharge period can be at a higher price, then the profit of the static electricity is still very impressive.
This arbitrage method is actually very similar to the independent energy on the Internet. However, compared with independent energy, the charging and discharging of the source battery can still be used in some provinces to reduce the power consumption of power distribution fees, additional funds, line and system operations. Therefore, the economic benefits of distribution on the source battery are completely determined by the difference in charging and discharging prices that can be captured in the current market, but it is not the day before and actual operation date. This is a very real price difference in the market at the time of Sugar daddy. In addition, we cannot ignore the Sugar daddy.
That is, in the local market application information, can photovoltaic power supplies that can still have Internet power during their non-powered periods?
Some regions stipulate photovoltaic station applicationThe reported power generation curve can only have a numeric value during the power generation period, and other non-power generation periods cannot declare a value of 0. This means that you can only rely on the power supply during the day to be released in the morning.
The purpose of source side distribution is to “shape” the photovoltaic power curve so that it can be suitable for the current market price. This design has also been discussed by many small evacuated Sugar baby users with photovoltaics.
that is, it can set up some equipment on the side of these small stations, and then Manila escort to participate in the market to buy and sell, and achieve a high-quality match by adjusting the power generation curve to achieve higher returns.
This logic is actually the same as the distribution method of large photovoltaic stations. It also captures the price difference in the current market differences. However, centralized distribution and evacuation distribution are not the same in terms of price production, transportation and management of costs. Therefore, I think that although the two are not much different in terms of income methods, the investment of the capital is not within the same amount. Cheng Songwei explained: “It was obtained in the community, about five or six months old, and in terms of degree, I don’t think the method of using photovoltaics to distribute one by one is very feasible.
Distributed PV returns under 136
We focus on these small and full-scale online photovoltaic projects, each project has several hundred kilowatts of Escort manila, and several tens or even several kilowatts of small and tens of them.
These power supplies must also be included in the power market under No. 136. The optional and feasible method is nothing more than finding an aggregator to participate in the purchase and sale under the circumstances of reporting, or perhaps directly receiving the current market price.
For existing sites, most of the existing distributed projects in the area have been fully purchased online power, and the number 136 textbookFollowing the previous policy means that all power generation will be injected into the mechanical power.
The difference in these power markets no longer perform other methods of differential pricing settlement in the early stages means that they will no longer participate in the medium-term and recent markets, but only in the real-time markets.
If it is the registration price of the quotation method, then the electricity generation volume for each purchase cycle × TC: