A monitoring system for an energy storage station in a power spot market scenario

Abstract

The application discloses a kind of monitoring systems of energy storage station under electric power spot scene, and the application relates to electric power technical field, include electric power spot scene monitoring module, energy storage station regulation and control module, early warning feedback module and storage module;Electric power spot scene monitoring module is responsible for extracting the electricity price data of real day from Internet and constructs electricity price change curve chart, simultaneously obtains the load power of power grid and the power generation power of power supply company and constructs load power-power generation power change curve, and these data are transmitted to energy storage station regulation and control module;Energy storage station regulation and control module combines battery pack storage electric quantity and analyzes data, determines the charging time interval of energy storage station and regulates and controls energy storage station.Early warning feedback module monitors the execution situation of regulation and control in real time, and triggers early warning if problem is found.Storage module is used to store various data, methods and implementation steps in the system;The system can effectively improve the operation monitoring efficiency of energy storage station under electric power spot scene, guarantee the stable operation of power grid.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of electric power, and particularly relates to a monitoring system of an energy storage station in an electric power spot market scenario. BACKGROUND

[0002] With the promotion of electric power market reform, electric power spot trading gradually becomes a mainstream mode. In the electric power spot market scenario, the electricity price presents significant intraday fluctuation characteristics, and the dynamic balance between the grid load power and the power generation power is increasingly demanding.

[0003] The current energy storage station monitoring system mainly has the following problems: most systems only rely on local sensor data and cannot obtain the electricity price dynamics of the electric power spot market in real time, resulting in disconnection between the energy storage strategy and the market price signal; the traditional monitoring system uses fixed thresholds to judge the grid supply and demand state, which is difficult to adapt to the complex and changeable electricity price-load coupling relationship in the spot market, and the misjudgment or response lag phenomenon often occurs; the existing energy storage charging and discharging strategy is mostly based on experience rules and does not fully consider multi-dimensional constraints such as grid reserve capacity and loss power, which easily causes waste of energy storage resources or hidden dangers of grid stability; most systems can only monitor equipment failures, and lack effective early warning means for systematic risks such as failed execution of control instructions, which affects the efficiency of grid emergency response; based on the above, the application provides a monitoring system of an energy storage station in an electric power spot market scenario. SUMMARY

[0004] In view of the deficiencies of the prior art, the application provides a monitoring system of an energy storage station in an electric power spot market scenario, which solves the problems of the prior art in solving the dynamic balance between the grid load power and the power generation power.

[0005] The purpose of the application can be achieved by the following technical solutions:

[0006] A monitoring system of an energy storage station in an electric power spot market scenario, the system comprises the following:

[0007] An electric power spot market scenario monitoring module, which interacts with the Internet in real time, extracts the electricity price in the electric power spot market scenario in the real day from the Internet, and transmits the electricity price change curve graph composed of the electricity price in the real day and the time stamp corresponding to the electricity price to the energy storage station control module;

[0008] Real-time acquisition of the load power in the grid and the power generation power of the power supply company in the real day, construction of the load power-power generation power change curve graph in the real day, and transmission to the energy storage station control module;

[0009] An energy storage station control module, which receives and analyzes the data in the real day transmitted by the electric power spot market scenario monitoring module, determines the charging time interval of the energy storage station, and controls the energy storage station;

[0010] The early warning feedback module feeds back early warning details to the operator of the energy storage station if it is found that the energy storage station fails to execute the preset regulation strategy.

[0011] The storage module stores data obtained by analysis or calculation in any one module of the system, and stores methods and implementation steps involved in any one module of the system.

[0012] As a further scheme of the present application, the specific manner in which the power spot market scenario monitoring module interacts with the Internet in real time further comprises the following:

[0013] Determine the real day, and extract the electricity price in the real day every preset time t, and record it as the electricity price change sequence Q1, Q2,..., Q j Wherein, j is the count index, indicating the number of electricity prices, and the value of j is adjusted by the operator according to actual needs;

[0014] The electricity price change sequence Q1, Q2,..., Q j The corresponding collection time is recorded as the time sequence t1, t2,..., t j Wherein Q1 to Q j Correspond to t1 to t j respectively.

[0015] A two-dimensional coordinate system is constructed with the time line as the horizontal axis and the value of the electricity price as the vertical axis, the electricity price change sequence is labeled in the two-dimensional coordinate system according to the time sequence, j data points are obtained, and a curve fitting is performed, thereby obtaining the electricity price change curve S Q associated with the real day.

[0016] As a further scheme of the present application, the power spot market scenario monitoring module obtains the load power P 负 and the power generation power P 发 in the real day in real time.

[0017] The load power sequence P and the power generation power sequence P are recorded respectively. Wherein, to correspond to to

[0018] The load power sequence and the power generation power sequence are one-to-one corresponding to the time sequence, that is, to correspond to t1 to t j , to correspond to t1 to t j .

[0019] A two-dimensional coordinate system is constructed with time line as the horizontal axis and power value as the vertical axis, the load power sequence and the power generation power sequence are marked in the two-dimensional coordinate system, and the load power sequence and the power generation power sequence are fitted by curves respectively to obtain a load power-power generation power change curve diagram in a real day, denoted as

[0020] As a further scheme of the application, the specific way in which the energy storage station regulation module receives and analyzes the data in a real day transmitted by the electricity spot market scenario monitoring module is as follows:

[0021] S Q The data in the two-dimensional coordinate system are normalized together with the values of the data in the two-dimensional coordinate system;

[0022] S Q The data in the two-dimensional coordinate system are normalized together with the values of the data in the two-dimensional coordinate system; The load power-power generation power-electricity price change curve diagram is fitted into the same two-dimensional coordinate system and denoted as

[0023] A straight line perpendicular to the horizontal axis and parallel to the vertical axis is constructed through the time point t1 on the horizontal axis of the coordinate system, denoted as the first time line L1, and L1 is copied and shifted backward by a time t to t2 on the horizontal axis to obtain a straight line perpendicular to the horizontal axis and parallel to the vertical axis through the time point t2, denoted as the second time line L2.

[0024] The area of the closed region composed of L1, L2, the power generation power change curve and the load power change curve is recorded as the power grid reserve capacity A1 associated with the time interval from the time point t1 to the time point t2.

[0025] The power grid reserve capacity A1 is compared with the power grid reserve capacity threshold A 阈 , and if A1≥A 阈 , it is determined that the power generation power in the time interval from t1 to t2 meets the normal power supply demand and no processing is performed.

[0026] On the contrary, it is determined that the power generation power in the time interval from t1 to t2 does not meet the normal power supply demand.

[0027] As a further scheme of the application, if the energy storage station regulation module determines that the power generation power in the time interval from t1 to t2 does not meet the normal power supply demand, L1 is copied to t3 on the horizontal axis to obtain a straight line perpendicular to the horizontal axis and parallel to the vertical axis through t3, denoted as the third time line L3.

[0028] The area of the closed region composed of L2, L3, the power generation power change curve and the load power change curve is obtained as the power grid reserve capacity A2 associated with the time interval from t2 to t3, and A3 to A j-1 ​, denoted as grid backup capacity sequence A1, A2,..., A j-1 ;

[0029] If the i consecutive grid backup capacities in the grid backup capacity sequence are all lower than the grid backup capacity threshold, the i grid backup capacities are extracted and the energy storage station is enabled to perform power compensation;

[0030] The time point associated with the last obtained grid backup capacity in the i grid backup capacities is determined, denoted as t k , and the energy storage station starts to perform power compensation operation on the power generation of the power grid at the time point t k+1 ;

[0031] Wherein, i is the threshold of consecutive abnormal times set by the operator, t k t k ∈[t1,t2,...,t j ], and the value range of k is (i, j), and k>i.

[0032] As a further scheme of the application, the specific way of the energy storage station regulation module performing power compensation operation on the power generation of the power grid by the energy storage station is:

[0033] Taking t k+1 as the starting time, the load power k+1 , the power generation k+2 , the electricity price Q k+1 and the grid backup capacity A k+1 associated with the time interval [t k+1 , t k+2 ] are obtained in real time;

[0034] And further, the power compensation demand ΔP associated with any time point in the time interval [t k+1 , t k+2 ] is obtained;

[0035] And the power compensation demand ΔP is taken as the compensation power of the energy storage station performing power compensation operation on the power generation of the power grid at the corresponding time point;

[0036] The grid backup capacity A k+1 in the time interval [t k+1 , t k+2 ] is continuously monitored and verified, and if A k+1 ≥α*grid backup capacity threshold A 阈 , the energy storage station is operated to gradually reduce the compensation power of the power compensation operation until the compensation power is 0, wherein α is a coefficient preset by the operator according to the actual situation of the power grid.

[0037] As a further scheme of the present application, the energy storage station regulation module determines the charging time interval of the energy storage station, and the specific manner of regulating the energy storage station is:

[0038] based on the determined acquired time point t1 to time point t i The corresponding electricity price, if the electricity price in the time interval composed of the consecutive u time points from the time point t1 is lower than the average electricity price Q avg , the next time point t u of t u+1 is selected to enter the candidate charging start time interval, wherein u is a value preset by the operator, the average electricity price Q avg is acquired from the Internet;

[0039] acquire the grid reserve capacity A u associated with the time interval from t u+1 to t u , if A u >β*grid reserve capacity threshold A 阈 , determine t u+1 as the charging start time, wherein β is a coefficient preset by the operator according to the actual situation of the energy storage station;

[0040] continuously monitor the electricity price and the grid reserve capacity, if the electricity price at any time point t o ≥Q avg or the grid reserve capacity A o associated with the time interval from the previous time point t o-1 to time point t o of time point t o ≤β*grid reserve capacity threshold A 阈 , lock t o as the charging end time, and combine the time interval [t u+1 , t o ] as the charging time interval of the energy storage station, wherein t o is any one in the time interval from t u+1 to t j , t o ≠t u+1 , and o is a count index, the value range of o is (u+1, j].

[0041] As a further scheme of the present application, the specific manner of the early warning feedback module for monitoring the regulation execution of the energy storage station regulation module in real time is:

[0042] The pre-warning feedback module monitors any one operation instruction generated in the energy storage station regulation module in real time, and continuously monitors the feedback signal of the corresponding operation instruction, if any one operation instruction does not generate a feedback signal within the time limit preset by the operator, it is determined that the energy storage station regulation module fails to execute the regulation strategy;

[0043] The operation instruction that the energy storage station regulation module fails to execute is pre-warned to the operator through the sound-light alarm function.

[0044] The beneficial effects of the present application are:

[0045] (1) The system can accurately grasp the charging and discharging opportunity of the energy storage station by real-time monitoring and analyzing the power spot market price fluctuation and the dynamic change of power grid load and power generation power, realize the optimal allocation of energy storage resources, improve the economic benefit of the energy storage station, secondly, the present application can effectively prevent power grid failure, when the standby capacity of the power grid is lower than the threshold, the energy storage station is quickly enabled for power compensation, the stability and reliability of the power grid are enhanced, the power-off risk is reduced, the present application can help to prolong the service life of the battery pack and reduce the operation cost through intelligent planning of the charging time of the energy storage station;

[0046] (2) The system can intuitively display the power grid operation state by normalizing the price and power change curve and fitting it to the same coordinate system to form a power generation power-load power-price change curve; at the same time, the standby capacity of the power grid is quantified by constructing a timeline and calculating the area of the closed region, and the remaining power of the power grid after meeting the load power is accurately evaluated for balancing the power loss of the power grid, including circuit transmission loss and equipment power loss; the present application can effectively improve the economy and safety of power grid operation and provide protection for stable power supply of the power grid;

[0047] (3) The system can accurately identify persistent power supply failure rather than temporary fluctuation by continuously monitoring the standby capacity of the power grid and setting a threshold trigger mechanism, which not only avoids false operation caused by instantaneous disturbance, but also ensures quick start of energy storage compensation in real failure, effectively ensuring the stability of the power grid; at the same time, the system innovatively analyzes the price fluctuation and the standby capacity state of the power grid, charges preferentially during the low price period and starts charging under the condition of sufficient standby capacity, which not only reduces the operation cost, but also avoids additional load during the tight period of the power grid, and immediately stops charging when the price rises or the standby capacity is insufficient, further optimizing the economy of energy storage; overall, the system of the present application realizes the coordinated improvement of power grid standby capacity management, power supply stability guarantee and operation cost control through intelligent fault detection, adaptive power regulation and economical charging and discharging strategy, and provides an efficient, economical and sustainable solution for traditional power grid and renewable energy grid connection. BRIEF DESCRIPTION OF DRAWINGS

[0048] The application will be further described below with reference to the drawings.

[0049] Figure 1 is a structural schematic diagram of the system described in the application;

[0050] Figure 2 is a flowchart of the method described in Example 2 of the application;

[0051] Figure 3 is a flowchart of the method described in Example 3 of the application;

[0052] Figure 4 is a schematic diagram of the power generation-power load-price change curve described in Example 2 of the application. DETAILED DESCRIPTION

[0053] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by a person of ordinary skill in the art without creative labor fall within the protection scope of the application.

[0054] Example 1

[0055] A monitoring system for an energy storage station in an electricity spot market scenario, as shown in FIG. 1, specifically comprises the following: Figure 1

[0056] An electricity spot market monitoring module, which accesses an electricity market trading platform and a third-party electricity data service provider in real time through a standardized API interface to obtain real-time electricity prices for the day (i.e., within one real day), generates electricity price-time sequence data in combination with the time stamps corresponding to the electricity prices, and plots an electricity price change curve, which includes key time nodes (such as peak-valley electricity price switching points and market bidding periods) and is transmitted to a storage control module in real time through a visualization tool (such as D3.js or ECharts) for subsequent analysis.

[0057] The electricity spot market monitoring module also interacts with smart meters, SCADA systems or PMUs (phasor measurement units) in real time to collect real-time power grid load power and power generation power, integrates the collected data with corresponding time stamps, and generates load and power generation power change curves, respectively. Key nodes (such as load peak periods) can be clearly observed in the load and power generation power change curves, and dynamic scaling and historical comparison functions are supported.

[0058] ​The energy storage station regulation module analyzes the price change curve, the load and the power generation power change curve transmitted by the power spot market scenario monitoring module, realizes regulation of the energy storage station, and determines a charging time interval of the energy storage station in a current real day.

[0059] The early warning feedback module is used for monitoring operation instructions and feedback signals involved in the energy storage station regulation module in real time, setting multi-level early warning detection rules, and dynamically adjusting detection thresholds according to a real-time state of the power grid. When the early warning feedback module detects an exception, early warning details including an abnormal time and operation instructions are pushed to an operator through a cloud home, a short message, an email and a system message center.

[0060] The storage module is a system data hub, contains multiple databases, and needs to ensure high reliability and scalability. A hybrid storage solution is adopted. Real-time data such as a price and a power curve are stored in an in-memory database, and historical data are stored in a relational database or a time series database.

[0061] The storage module is also used for storing any one method and implementation steps thereof described in the scheme.

[0062] Embodiment 2

[0063] The embodiment discloses a method for fitting a power generation power-load-price change curve by using price data, load power and power generation power, and judging whether power compensation operation is needed according to the curve, as shown in Figure 2 The method comprises the following steps:

[0064] The method is completed in the energy storage station regulation module and the power spot market scenario monitoring module. First, the power spot market scenario monitoring module obtains a real day preset by an operator. The real day starts at 0 o'clock of each day and ends at 24 o'clock of each day. Each day from 0 o'clock to 24 o'clock is a real day.

[0065] The power spot market scenario monitoring module interacts with a power market trading platform and a third-party power data service provider through the Internet in real time, obtains a real-time price in a current real day, and obtains a time sequence t1, t2,..., t j , preset by the operator. Each time point in the time sequence t1, t2,..., t j is divided into two adjacent time points, and the time difference between the two adjacent time points is a time t preset by the operator. Each time point in the time sequence t1, t2,..., t j corresponds to a price. Therefore, a price change sequence can be obtained, which is represented as: Q1, Q2,..., Q jWherein j is a count index, represents the number of electricity price and the number of time points, the value of j is adjusted by the operator combined with the actual demand.

[0066] The electricity price change sequence Q1, Q2,..., Q j And the time sequence t1, t2,..., t j Then, the electricity price change curve can be constructed to show the change of electricity price with time in a more intuitive form, and the real-time electricity price corresponding to any time point can be obtained from the constructed electricity price change curve, and it has persistence;

[0067] A two-dimensional coordinate system is constructed, the horizontal axis of the two-dimensional coordinate system is the time line, and the vertical axis is the value of the electricity price, after the construction, the electricity price change sequence Q1, Q2,..., Q j According to the time point corresponding to each electricity price in it, a series of data points are marked in the constructed two-dimensional coordinate system, and then the curve fitting technology is used to fit the series of data points, and the final fitting result is taken as the electricity price change curve associated with the current real day, and is denoted as S Q .

[0068] Then, the power spot market scene monitoring module continues to collect the power grid load power and power generation power in the current real day from the smart meter, SCADA system or PMU, respectively denoted as P 负 And P 发 ;

[0069] Based on the determined, the time sequence t1, t2,..., t j And the power grid load power P 负 In the current real day, the load power sequence is obtained, which is represented as Similarly, the power generation power sequence is obtained, which is represented as Wherein, the time stamp of the load power sequence and the power generation power sequence corresponds one by one, that is, the To Correspond to the To

[0070] Then, a two-dimensional coordinate system is constructed with the time line as the horizontal axis and the power value as the vertical axis, and the power value associated with each time point in the time sequence t1, t2,..., t j Corresponding to the load power sequence And the power generation power sequence Is marked in the constructed two-dimensional coordinate system, and the load power sequence and the power generation power sequence are fitted again using curve, and finally the load power-power generation power change curve in the current real day is obtained, denoted as the load power-generating power change graph There are two curves in the load power-generating power change graph that theoretically do not generate interaction, that is, at any time point, the value of the generating power is greater than the value of the load power, otherwise, the power grid is considered to have failed. In the present application, the power grid failure is not further investigated, and only the generating power and the load power under the normal power generation condition of the power grid are analyzed.

[0071] Based on the obtained electricity price change graph S Q and the load power-generating power change graph First, all the data in the electricity price change graph S Q and the load power-generating power change graph are normalized to the same data interval, so that the electricity price change graph S Q and the load power-generating power change graph can be fitted together into the same graph or the same two-dimensional coordinate system;

[0072] A two-dimensional coordinate system is constructed with the time line as the horizontal axis and the normalized value as the vertical axis, and the normalized electricity price change graph S Q and the load power-generating power change graph are simultaneously fitted into the constructed two-dimensional coordinate system, and are recorded as the generating power-load power-electricity price change graph (Subsequently, the electricity price data, load power data, and generating power data refer to the data before normalization. The normalization here is to fit the generating power, load power, and electricity price into the same graph, so as to observe multiple sets of data in the same time interval and compare their synchronization and correlation. The example graph of the generating power-load power-electricity price change graph is shown in Figure 4 );

[0073] Then, the generating power-load power-electricity price change graph is further processed to determine the first time point t1 in the generating power-load power-electricity price change graph . A straight line perpendicular to the horizontal axis of the two-dimensional coordinate system and parallel to the vertical axis of the two-dimensional coordinate system is constructed through the first time point t1, recorded as the first time line L1. The constructed first time line L1 is copied and translated in the positive direction of the horizontal axis of the two-dimensional coordinate system by a time t to the time point t2 on the horizontal axis of the two-dimensional coordinate system, obtaining a straight line passing through the time point t2 and perpendicular to the horizontal axis of the two-dimensional coordinate system and parallel to the vertical axis of the two-dimensional coordinate system, recorded as the second time line L2.

[0074] When the first time line L1 and the second time line L2 are both constructed, the first time line L1, the second time line L2, the load power change curve and the power generation power change curve will form a closed area, the area of the closed area is calculated, and the area of the closed area is recorded as the power grid reserve capacity A1;

[0075] According to the integral principle, the area of the closed area can be approximately expressed as the result of the difference between the power generation power and the load power accumulated over time at the time point t1 and the time point t2 (the time point t1 and the time point t2 in the present scheme are only time points for making examples, and are not fixed time points, and any two time points can be determined by the operator), and the accumulated difference can be regarded as the reserve capacity of the power grid in a physical sense, that is, the remaining power part after meeting the load power of the power grid, which is used to balance the power loss of the power grid;

[0076] The power generation power and the load power usually change over time, and the above method can reflect the dynamic change of the reserve capacity in the process of power grid operation by calculating the area of the closed area formed by the two curves in a certain time interval, which helps to find potential problems in the operation of the power grid, such as insufficient or excessive reserve capacity, so as to help the operator to adjust the power generation plan or take corresponding preventive control measures in time.

[0077] After obtaining the power grid reserve capacity A1 in the time interval from the time point t1 to the time point t2, the power grid reserve capacity A1 is compared with the power grid reserve capacity threshold A 阈 If the power grid reserve capacity A1 is greater than or equal to the power grid reserve capacity threshold A 阈 , it is judged that the power generation power in the time interval t1 to t2 meets the normal power supply demand of the power grid, and no processing is needed;

[0078] If the power grid reserve capacity A1 is less than the power grid reserve capacity threshold A 阈 , it is judged that the power generation power in the time interval t1 to t2 does not meet the normal power supply demand of the power grid, and the first time line L1 is copied to the time point t3 on the horizontal axis of the two-dimensional coordinate system again to obtain a straight line passing through the time point t3 and perpendicular to the horizontal axis of the two-dimensional coordinate system and parallel to the vertical axis of the two-dimensional coordinate system, which is recorded as the third time line L3;

[0079] At this moment, the second time line L2, the third time line L3, the power generation power change curve and the load power change curve will form a closed area, the area of the closed area is calculated and recorded as the power grid reserve capacity A2, that is, the power grid reserve capacity in the time interval from time point t2 to time point t3, repeat the step to obtain the power grid reserve capacity A3 in the time interval from time point t3 to time point t4, until time point t j-1 to time point t j This time interval of the power grid reserve capacity A j-1 , and recorded as the power grid reserve capacity sequence in the order of the time line: A1, A2,..., A j-1 ;

[0080] Obtain the continuous abnormal number threshold i set by the operator according to the actual situation, and compare the first power grid reserve capacity A1 in the power grid reserve capacity sequence A1, A2,..., A j-1 with the power grid reserve capacity threshold A 阈 preset by the operator, if the power grid reserve capacity A1 is less than the power grid reserve capacity threshold A 阈 , the counter G preset by the operator is increased by one, the initial value of the counter G is 0, if the power grid reserve capacity A1 is greater than or equal to the power grid reserve capacity threshold A 阈 , the value of the counter G does not change, and A2 is obtained in turn, if the counter G continuously and uninterruptedly increases to i, it is considered that the energy storage station needs to be started for power compensation, if the counter G is interrupted during counting, the value of the counter G is reset to 0 and the counting is restarted.

[0081] When the counter G continuously and uninterruptedly increases to i, the time point at this moment is extracted and recorded as t k , and the power compensation operation on the power generation power of the power grid by the energy storage station starts at the next time point t k+1 of the time point t k , the time point t k ∈[t1,t2,...,t j ], and the value range of k is (i, j), and k>i.

[0082] This embodiment constructs an electricity price change curve by acquiring the daily electricity price change sequence and time series; simultaneously, it collects the grid load power and generation power to form a load-generation power change curve; after normalizing both, it fits them to the same coordinate system, calculates the area of ​​the closed region formed by the cumulative difference between generation power and load power within a specific time interval as the grid reserve capacity, and reflects the dynamic change of reserve capacity based on the integral principle; if the reserve capacity is continuously lower than the preset threshold for a continuous number of abnormalities i, the power compensation mechanism of the energy storage station is triggered, and the energy storage station is started at the next time point to adjust the grid power, ensuring that the grid reserve capacity meets the power supply demand and improving the safety and economy of grid operation.

[0083] Example 3

[0084] This embodiment, based on Embodiments 1 and 2, further discloses a method for power compensation of the power generation capacity of the power grid through an energy storage station, such as... Figure 3 As shown, the specific steps include the following:

[0085] Based on the time point t determined in Example 2 k The next time point t k+1 From that time point t k+1 Start by acquiring time point t in real time. k+1 up to time point t k+2 The associated load power during this period Power generation Electricity price Q k+1 and grid reserve capacity A k+1 The load power Power generation Electricity price Q k+1 and grid reserve capacity A k+1 This does not refer to data corresponding to a single point in time; in this embodiment, the load power... Power generation Electricity price Q k+1 and grid reserve capacity A k+1 This refers to time point t. k+1 up to time point t k+2 The load power, power generation, electricity price, and grid reserve capacity at any point in time during this period;

[0086] Based on the obtained load power Power generation Electricity price Q k+1 and grid reserve capacity A k+1 The formula used is:

[0087]

[0088] The time point t was calculated.k+1 up to time point t k+2 The power compensation demand ΔP associated with any time point Δt, and the compensation power of the energy storage station to perform power compensation operation on the power generation of the grid at the time point Δt corresponding to the power compensation demand ΔP;

[0089] Continue monitoring t k+1 up to time point t k+2 Power grid reserve capacity A during this time interval k+1 If the power grid reserve capacity A is found k+1 ≥α*Grid Reserve Capacity Threshold A 阈 If α is the power generation capacity of the power grid, then the power compensation operation of the energy storage station is no longer required. The operation of the energy storage station gradually reduces the power of the power compensation operation until the compensation power is reduced to 0, where α is a coefficient preset by the operator based on the actual situation of the power grid.

[0090] When the power grid reserve capacity A is discovered k+1 ≥α*Grid Reserve Capacity Threshold A 阈 Subsequently, if the power generation capacity is higher than the grid reserve capacity threshold A... 阈 In many cases, excess electricity needs to be stored in energy storage stations to avoid waste. The energy storage process requires consideration of the electricity generation-load-electricity price change curve. For detailed analysis, this embodiment selects a different real-day than those described above for ease of explanation and processing, and obtains the power generation-load power-electricity price change curves associated with that real-day.

[0091] from The system determines the electricity price at the first time point t1 within a given day, and continues to obtain electricity prices thereafter. If it is found that the electricity price for a consecutive time interval consisting of u time points starting from the first time point t1 is lower than the average electricity price Q, the system will continue to obtain the electricity price. avg If the electricity price is in a period of continuous low prices, then from t u The next time point t u+1 The candidate charging start time interval begins, where u is the counting index, and the value range of u is (1, j). The average electricity price Q avg Obtained in real time from the Internet;

[0092] Reconfirm the time point t u up to time point t u The next time point t u+1 The associated grid reserve capacity during this time interval, denoted as A. u , will increase the grid reserve capacity A u Compared with the power grid reserve capacity threshold A preset by the operator阈 The following comparison operation is performed:

[0093] If the grid reserve capacity A u > β * the grid reserve capacity threshold A 阈 , the time point t u+1 is determined as the charging start time, and the energy storage station starts to perform the charging operation from the time point t u+1 , wherein β is a coefficient preset by an operator according to the actual situation of the energy storage station;

[0094] Based on the determined time point t u+1 at which the charging operation is started, the electricity price and the grid reserve capacity of subsequent time points are continuously monitored, and if the electricity price at any one of the time points t u+1 after the time point t o is greater than or equal to the average electricity price Q avg or the grid reserve capacity A o associated with the time point t o-1 before the time point t o to the time point t o is less than or equal to β * the grid reserve capacity threshold A 阈 , the time point t o is determined as the charging end time of the energy storage station, and thus the combination of the time point t u+1 and the time point t o obtains the time interval [t u+1 , t o ] as the charging time interval of the energy storage station, wherein the time point t o is any one of the time points t u+1 to the time point t j in the time interval, and the time point t u+1 is excluded, i.e., t o ≠ t u+1 , and o is a count index, and the value range of o is (u+1, j].

[0095] The embodiment calculates the power compensation demand by monitoring the key data such as the grid load power, the power generation power, the electricity price and the grid reserve capacity in real time, determines the compensation power of the power compensation operation of the energy storage station by using a formula, and ensures the grid power balance. Meanwhile, the grid reserve capacity is monitored to determine whether the energy storage station needs to intervene, the power output of the energy storage station is reduced when the reserve capacity is sufficient, and resource waste is avoided. In addition, the embodiment also considers storing the excess power generation into the energy storage station to avoid waste, determines the period in which the electricity price is continuously lower than the average electricity price as a candidate charging time interval in combination with the power generation power-load power-electricity price change curve, further optimizes the charging operation of the energy storage station, and improves the utilization efficiency of the energy storage station.

[0096] Part of the data in the formula described above is dimensionless for numerical calculation, and the contents not described in detail in the specification are all prior art known to those skilled in the art.

[0097] The above is only an example and description of the present application, and those skilled in the art can make various modifications or supplements to the described specific embodiments or replace them with similar ways, as long as they do not deviate from the invention or exceed the scope defined by the present claims, which shall belong to the protection scope of the present application.

[0098] It needs to be declared that all user data collected in this application is collected with the consent and authorization of the user. And the use of user data is legal and compliant, and the use and processing of user data comply with relevant laws, regulations and standards in the relevant region.

Claims

1. A monitoring system for an energy storage station in a spot electricity market scenario, characterized in that, This system includes the following: The electricity spot market scenario monitoring module interacts with the internet in real time, and the specific method for extracting the electricity price under the real-time electricity spot market scenario from the internet is as follows: Determine the actual day, and extract the electricity price within that day at preset time intervals t, recording it as an electricity price change sequence. Where j is the counting index, representing the quantity of electricity price, and the value of j is adjusted by the operator according to actual needs; Together with the timestamps corresponding to the different electricity prices within that day Electricity price change curve Transmitted to the energy storage station's control module; Real-time acquisition of load power in the power grid during the day and the power generation capacity of the power supply company Construct a daily load power-generation power change curve. And transmit it to the energy storage station's control module; The specific method by which the energy storage station control module receives and analyzes various real-time data transmitted from the electricity spot market monitoring module is as follows: right and The numerical values ​​of the data in the dataset are all normalized. Then as well as Fit the graph to the same two-dimensional coordinate system and record it as a curve of power generation, load power, and electricity price change. ; Time points on the horizontal axis of the coordinate system Construct a straight line perpendicular to the horizontal axis and parallel to the vertical axis, denoted as the first time-point line. ,copy Shift backward by a time t to the horizontal axis It takes time. A straight line perpendicular to the horizontal axis and parallel to the vertical axis is denoted as the second time-line. ; Record , The area of ​​the closed region formed by the power generation change curve and the load change curve is used as a time point. up to the time point The associated grid reserve capacity during this period ; Power grid reserve capacity Compared with the power grid reserve capacity threshold preset by the operator In comparison, if ,determination to If the power generation capacity within the time interval meets the normal power supply demand, no action is taken. Conversely, it is determined that... to The power generation capacity during the time interval does not meet the normal power supply demand; Determine the charging time range of the energy storage station and regulate the energy storage station accordingly; The early warning feedback module monitors the control execution status of the energy storage station's control module in real time. If it is found that the energy storage station fails to execute the preset control strategy, an early warning is triggered, and the warning details are fed back to the energy storage station's operators. The storage module stores data obtained through analysis or calculation from any module in this system, as well as the methods and implementation steps involved in any module in this system.

2. The monitoring system for an energy storage station in a spot electricity market scenario according to claim 1, characterized in that, The specific methods by which the electricity spot market scenario monitoring module interacts with the Internet in real time also include the following: Electricity price change series The corresponding acquisition time is denoted as a time series. ,in to Corresponding to to ; Construct a two-dimensional coordinate system with the timeline as the horizontal axis and the electricity price values ​​as the vertical axis. Plot the electricity price change sequence in chronological order on the system to obtain j data points. Fit the data to a curve to obtain a daily electricity price change curve. .

3. The monitoring system for an energy storage station in a spot electricity market scenario according to claim 1, characterized in that, The electricity spot market monitoring module acquires real-time load power within the day. and power generation ; Recorded as load power sequences and power generation sequence ,in, to Corresponding in sequence to ; The load power sequence and the power generation sequence each correspond one-to-one with the time series, that is... to Corresponding to to , to Corresponding to to ; Construct a two-dimensional coordinate system with the timeline as the horizontal axis and power values ​​as the vertical axis. Plot the load power series and power generation series on this coordinate system, and fit curves to the load power series and power generation series respectively to obtain the daily load power-power generation variation curve, denoted as [missing information]. .

4. The monitoring system for an energy storage station in a spot electricity market scenario according to claim 3, characterized in that, If the energy storage station control module determines to If the power generation capacity within a time interval does not meet the normal power supply demand, then replication will be performed. To the horizontal axis ,have to Let the line perpendicular to the horizontal axis and parallel to the vertical axis be denoted as the line at the third time point. ; Get , The area of ​​the closed region formed by the power generation change curve and the load power change curve is used as... to The associated grid reserve capacity within the time interval Similarly, obtain to The order in which they are acquired is recorded as the power grid reserve capacity sequence. ; If i consecutive grid reserve capacities in the grid reserve capacity sequence are all below the grid reserve capacity threshold, then the i grid reserve capacities are extracted and the energy storage station is activated for power compensation. The time point associated with the last acquired grid reserve capacity among i grid reserve capacity units is denoted as . and The power compensation operation for the power generation of the power grid begins at a certain point in time; Where i is the threshold for the number of consecutive abnormalities set by the operator. ,and The value range of is (i, j), and >i.

5. A monitoring system for an energy storage station in a spot electricity market scenario according to claim 4, characterized in that, The specific method by which the energy storage station control module performs power compensation operations on the power generation of the power grid through the energy storage station is as follows: by As the start time, obtain in real time. to The associated load power within the time interval Power generation Electricity price and grid reserve capacity ; And further obtain to Power compensation demand associated with any point in time within the time interval ; and power compensation requirements As a corresponding point in time, the compensation power of the energy storage station in performing power compensation operations on the power generation power of the power grid; Continuous monitoring to Grid reserve capacity within the time interval And perform verification, if The energy storage station gradually reduces the compensation power until it reaches zero. These are coefficients preset by operators based on the actual conditions of the power grid.

6. A monitoring system for an energy storage station in a spot electricity market scenario according to claim 5, characterized in that, The specific method by which the energy storage station control module determines the charging time range of the energy storage station and controls the energy storage station is as follows: Based on the determined Obtain time point up to the time point The corresponding electricity prices, if viewed from a point in time... Initially, the electricity price within the time interval consisting of *u* consecutive time points is lower than the average electricity price. Then select from The next point in time The candidate charging start time interval begins, during which... The preset values ​​for operators, average electricity price Obtained from the Internet; Get to The associated grid reserve capacity within the time interval ,like Then determine The charging start time, where The coefficients preset by the operators based on the actual conditions of the energy storage station; Continuous monitoring of electricity prices and If at any point in time electricity price or time point The previous time point up to the time point The associated grid reserve capacity during this period Then lock Set the charging end time and combine the time intervals [ , ], serving as the charging time interval for energy storage stations, among which, for to Any one of these time intervals , where o is the counting index, and the range of values ​​for o is ( +1, ].

7. A monitoring system for an energy storage station in a spot electricity market scenario according to claim 1, characterized in that, The specific method by which the early warning feedback module monitors the control execution of the energy storage station's control module in real time is as follows: The early warning feedback module monitors any operation command generated by the energy storage station control module in real time and continuously monitors the feedback signal of the corresponding operation command. If any operation command fails to generate a feedback signal within the time limit preset by the operator, it is determined that the energy storage station control module has failed to execute the control strategy. The audible and visual alarm function provides early warning feedback to operators when the energy storage station's control module fails to execute the operation commands.

Images