Method for clearing power spot market distinguishing between segmental power and flexible regulation value

Abstract

The present application belongs to the technical field of power clearing, and relates to a power spot market clearing method for distinguishing segmented power and flexible adjustment value, comprising: 1, day-ahead market unit bidding; 2, decomposing the clearing link based on security constrained economic dispatch in the current power spot market clearing method into segmented power clearing and flexible adjustment capacity clearing; 3, day-ahead market settlement of various types of units; the present application decomposes the clearing link based on SCED in the current power spot market clearing method into two links of segmented power clearing and flexible adjustment capacity clearing, and based on marginal pricing theory, determines the power price of the whole system in the whole clearing period and the flexible adjustment power price of each node in each period, respectively, to replace the time-of-use node power price in the current market clearing method, so that the present application can optimize power resource allocation and guarantee supply and demand, and improve power generation efficiency.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power dispatching, and particularly relates to a power spot market dispatching method for distinguishing segmented power and flexible adjustment value. BACKGROUND

[0002] Power dispatching is the core link of power market operation, and the purpose of power dispatching is to realize the optimal allocation of power resources and the balance between supply and demand through market mechanism. The power dispatching mechanism encourages power generation enterprises to reduce their own costs to obtain lower bidding advantages, so as to promote the improvement of the power generation efficiency of the entire industry. At the same time, the power generation capacity of new energy is preferentially dispatched, which helps to promote the utilization of clean energy and the green and low-carbon transformation of the entire power system. Therefore, the power dispatching mechanism has a profound influence on the power market and the operation of the entire power system.

[0003] However, due to the volatility, intermittency and randomness of new energy power generation output, the power system operation faces problems such as insufficient balance support capacity, lack of adjustment flexibility, and great difficulty in power supply guarantee in extreme cases. In recent years, power supply crises caused by insufficient new energy power generation output have occurred at home and abroad. At the same time, the challenge of new energy consumption still exists, and the curtailment rate of wind and solar power continues to grow in many countries due to the insufficient adjustment capacity of the power system. In fact, due to the strong volatility of new energy power generation output, low power output in peak load and special weather, seasonal power distribution fluctuation and mismatch with demand, as the proportion of new energy power generation increases, the difficulties of power supply and new energy consumption are intertwined at the time scales of year, month, week and day. Therefore, new energy is included in the power market, the advantages of the market in power resource allocation are utilized, and the price signal is used to reasonably reflect the costs, values and scarcity of various types of power supply, auxiliary services and capacity, which is a key way to ensure power supply, promote new energy consumption and promote the construction of a new power system.

[0004] Therefore, there is a need for a power dispatching method that can meet the demand for optimal allocation of power resources and balance between supply and demand, and promote the improvement of power generation efficiency, to solve the above technical problems. SUMMARY

[0005] The application provides the following technical scheme: a power spot market dispatching method for distinguishing segmented power and flexible adjustment value, comprising the following steps:

[0006] Step 1, unit bidding in the day-ahead market;

[0007] Step 2, decomposing the dispatching link based on security constrained economic dispatch in the current power spot market dispatching method into segmented power dispatching and flexible adjustment capacity dispatching;

[0008] Step 3, day-ahead market settlement of various types of units.

[0009] Preferably, the step 1 comprises: a unit side offer and a market offer, wherein: the unit side offer is: thermal power, new energy, energy storage, hydropower unit respectively reports power quantity price curve, the upper and lower limits of the power generation of each offer segment in the full clearing period. The market offer is: report demand quantity price curve.

[0010] Preferably, the step 2 specifically comprises: establishing a segmented power clearing model with the minimum system generation cost as the objective function, the objective function being the minimum system generation cost; the constraints include: full system load power balance constraint, all-day power constraint of each unit, and winning power constraint. Establishing a flexible adjustment capacity clearing model with the minimum cost of adjusting the reference power of each unit to match the power load as the objective function, the objective function being the minimum difference between the total generation cost before and after the unit power adjustment; the constraints include: system balance constraint, system active power flow constraint, unit power constraint, thermal power ramping constraint, energy storage capacity constraint, and reservoir capacity constraint.

[0011] More preferably, the objective function of the segmented power clearing model is:

[0012] (1)

[0013] In formula (1), , , , , is the price of the charging and discharging of the thermal power unit , new energy unit , hydropower unit , energy storage power station in the first segment of the segmented power clearing link. , , , , is the winning power of the charging and discharging of the thermal power unit , new energy unit , hydropower unit , energy storage power station in the first segment of the segmented power clearing link.

[0014] The objective function of the flexible adjustment capacity clearing model is:

[0015] (19)

[0016] In formula (19), , , , , ​​​for thermal power generating units , for new energy generating units , for hydropower generating units , for energy storage power stations , and the charging and discharging bidding segment , the winning power in the time segment , , , , , for thermal power generating units , for new energy generating units , for hydropower generating units , for energy storage power stations , and the charging and discharging bidding segment , the winning power in the time segment , the generation cost of the segmented power balance segment , the time segment

[0017] More preferably, the constraint conditions of the segmented power balance model include:

[0018] (2)

[0019] (3)

[0020] (4)

[0021] (5)

[0022] (6)

[0023] (7)

[0024] (8)

[0025] (9)

[0026] (10)

[0027] (11)

[0028] (12)

[0029] (13)

[0030] (14)

[0031] ​​ (15)

[0032] (16)

[0033] (17)

[0034] (18)

[0035] In equations (2) to (18), For time period The system load, As dual variables, For thermal power units Price range The total amount of electricity won in the bidding throughout the day, For thermal power units Price range The total daily reported electricity volume, For thermal power units Price range During the period Power generation output, For thermal power units During the period The start / stop state is a variable ranging from 0 to 1, with 1 representing the running state and 0 representing the stopped state. For energy storage power stations During the period The charging state variable is defined as 1 for charging and 0 for non-charging. For energy storage power stations During the period The discharge state variable is 1 for the discharge state and 0 for the non-discharge state. , For thermal power units Price range Maximum and minimum output For thermal power units During the period The benchmark power output, , For energy storage power stations Price range The total charging and discharging capacity of the winning bid throughout the day. For energy storage power stations The discharge efficiency, For energy storage power stations Charging efficiency, , For energy storage power stations Price range The total charge and discharge volume reported throughout the day; , for the energy storage power station bid segment in the time period of the charge-discharge output; , , , for the energy storage power station bid segment of the maximum and minimum charge-discharge output; , for the energy storage power station in the time period of the reference charge-discharge output.

[0036] More preferably, the constraint conditions of the flexible adjustment capacity clearing model include:

[0037] System balance constraint:

[0038] (20)

[0039] (21)

[0040] (22)

[0041] (23)

[0042] (24)

[0043] (25)

[0044] (26)

[0045] (27)

[0046] (28)

[0047] (29)

[0048] (30)

[0049] (31)

[0050] In formula (20) to formula (31), , , , , for the thermal power unit , new energy unit , hydropower unit energy storage power station charging and discharging in the first period , the winning adjustment output, , new energy unit , hydroelectric unit in the time period , the reference power generation output, , , , , for each unit in each time period, the day-ahead power generation output plan, , , , for thermal power units , new energy units , hydroelectric units , energy storage power stations node unit association matrix, for node in the time period , the load, for the constraint dual variable, , for line considering the positive direction, the minimum and maximum active transmission capacity; , , , for thermal power units , new energy units , hydroelectric units , energy storage power stations node-to-line transfer distribution factor; for node to line transfer distribution factor.

[0051] Thermal power unit constraints:

[0052] (32)

[0053] (33)

[0054] (34)

[0055] In formula (32) to formula (34), is the ramping capability of the thermal power unit , and is the ramping capability of the thermal power unit Minimum technical output of the thermal power unit, Maximum technical output of the thermal power unit, Bidding output of the thermal power unit at Bidding output of the thermal power unit at Bidding output of the thermal power unit at Bidding output of the thermal power unit at Bidding output of the thermal power unit at Bidding output of the thermal power unit at Bidding output of the thermal power unit at

[0056] New energy unit constraints:

[0057] (35)

[0058] In formula (35), Ramp-up capability of the new energy unit.

[0059] Energy storage station constraints:

[0060] (36)

[0061] (37)

[0062] (38)

[0063] (39)

[0064] (40)

[0065] (41)

[0066] In formula (36) to formula (41), State of charge of the energy storage station Time period Minimum energy storage capacity of the energy storage station Maximum energy storage capacity of the energy storage station ,Minimum charge-discharge output of the energy storage station ,Maximum charge-discharge output of the energy storage station Discharge efficiency of the energy storage station State of charge of the energy storage station Time period State of charge of the energy storage station Time period ​​​​​​​charging efficiency, , for energy storage power station bid segment time period maximum charging and discharging power.

[0067] Hydro unit constraints:

[0068] (42)

[0069] (43)

[0070] (44)

[0071] (45)

[0072] (46)

[0073] (47)

[0074] (48)

[0075] in formula (42) to formula (48), hydro unit bid segment declared power, hydro time period storage capacity, hydro minimum storage capacity limit, hydro maximum storage capacity limit, hydro conversion factor, hydro time period power generation flow, hydro minimum power generation flow, hydro maximum power generation flow, hydro unit minimum power, hydro unit maximum power, hydro time period discharge flow, hydro minimum discharge flow, hydro maximum discharge flow, For hydropower Time period The incoming water, For hydropower Time period Storage capacity For hydroelectric generator units During the period The start / stop state is a variable ranging from 0 to 1, with 1 for the running state and 0 for the stopped state.

[0076] More preferably, in step 3, the cost or benefit of each type of generating unit in the day-ahead market consists of the cost or benefit of two stages: segmented power clearing and flexible adjustment capacity clearing, including:

[0077] (49)

[0078] (50)

[0079] (51)

[0080] (52)

[0081] In equations (49) to (52), , , , These represent the day-ahead market earnings of thermal power units, new energy power units, hydropower units, and energy storage power stations, respectively.

[0082] The beneficial effects of this invention are:

[0083] 1. Based on the segmented bidding theory, this invention proposes a power spot market clearing method that includes segmented power clearing and flexible adjustment capacity clearing. It decomposes the current power spot market clearing method based on SCED (Sequential Time-of-Use) clearing into two stages: segmented power clearing and flexible adjustment capacity clearing. Based on marginal pricing theory, it determines the total system power price for the entire clearing period and the flexible adjustment price for each node in each period, replacing the time-of-use node price in the current market clearing method. Therefore, this invention can optimize power resource allocation, ensure supply and demand, and improve power generation efficiency.

[0084] 2, The power spot market clearing method can obtain the same power generation output plan as the current market clearing method, maximize social welfare, reasonably reflect the value of power supply and flexible adjustment, effectively distinguish the responsibilities and contributions of various market subjects in supply protection and consumption promotion, encourage new energy to actively consider the problem of rising system adjustment cost caused by new energy, and provide effective economic incentives for supply protection and adjustment resources; at the same time, under the clearing method, new energy needs to bear the system adjustment cost caused by new energy in the flexible adjustment clearing link, improves the efficiency, and meets the dual needs of power market supply protection and consumption promotion. BRIEF DESCRIPTION OF DRAWINGS

[0085] Figure 1 The existing power spot market clearing method is shown in the figure;

[0086] Figure 2 The power spot market clearing method for distinguishing segmented electricity and flexible adjustment value of the present application is shown in the figure;

[0087] Figure 3 The unit clearing diagram of the embodiment of the present application is shown in the figure;

[0088] Figure 4 The output plan under the current market clearing method in the prior art is shown in the figure;

[0089] Figure 5 The reference output plan of each type of unit obtained in the segmented electricity clearing link in the example of the embodiment of the present application is shown in the figure;

[0090] Figure 6 The day-ahead generation plan obtained by superimposing the reference output plan after the flexible adjustment capacity clearing in the example of the embodiment of the present application is shown in the figure;

[0091] Figure 7 The node price under the current market clearing method of the embodiment of the present application, and the comparison diagram of the whole system electricity price in the whole clearing period and the flexible adjustment electricity price of each node in each period under the market clearing method proposed by the present application are shown in the figure. DETAILED DESCRIPTION

[0092] The related technologies in the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0093] REFERENCE Figures 1-7The embodiment provides a power spot market clearing method distinguishing segmented power and flexible adjustment value, and aims at solving problems of insufficient balance support ability, lack of adjustment flexibility, and difficulty in power supply guarantee in an extreme case of power system operation.

[0094] The power spot market clearing method distinguishing segmented power and flexible adjustment value comprises the following steps:

[0095] I. Day-ahead market unit bidding

[0096] The power generation side thermal power, new energy (photovoltaic, wind power), energy storage, and hydropower unit respectively declare a power quantity price curve (consistent with the current market bidding mechanism, including the upper and lower limits of the output of each bidding segment and the bid), and the upper and lower limits of the power generation of each bidding segment in the full clearing period (one day) (the lower limit is generally 0); the user side is the same as the current market bidding mechanism, and declares a demand quantity price curve.

[0097] II. The clearing link based on the security constrained economic dispatch in the current power spot market clearing method is divided into two links of segmented power clearing and flexible adjustment capacity clearing:

[0098] The day-ahead SCED clearing link is divided into two links of segmented power clearing and flexible adjustment capacity clearing, so as to distinguish the value and scarcity of the system in terms of power supply and flexible adjustment.

[0099] A segmented power clearing model is established with the minimum total system generation cost as the objective function, and the objective function is the minimum total system generation cost. The constraints include: total system load power balance constraint, total day power quantity constraint of each unit, and winning output constraint.

[0100] A flexible adjustment capacity clearing model is established with the minimum cost of adjusting the reference output of each unit to match the power load as the objective function, and the objective function is the minimum difference between the total generation cost before and after the unit output adjustment. The constraints include: system balance constraint, system active power flow constraint, unit output constraint, thermal power climbing constraint, energy storage capacity constraint, and reservoir capacity constraint.

[0101] III. Day-ahead market settlement of various types of units

[0102] The cost or benefit of each type of unit in the day-ahead market is composed of the cost or benefit of the two links of segmented power clearing and flexible adjustment capacity clearing.

[0103] Embodiment

[0104] The power spot market clearing method provided by the embodiment comprises the following steps:

[0105] Step one: establish the clearing model of segmented electricity link, including the objective function of minimizing the total system generation cost, and constraint conditions;

[0106] Further, the objective function is expressed as:

[0107] (1)

[0108] Wherein, , , , , is the price of the thermal power unit , new energy unit , hydropower unit , energy storage power station , charging and discharging segment offer price; , , , , is the thermal power unit , new energy unit , hydropower unit , energy storage power station , the winning electricity quantity of charging and discharging in the first segment of segmented electricity clearing link segment .

[0109] The constraint conditions are as follows:

[0110] (2) (3)

[0111] (4)

[0112] (5)

[0113] (6)

[0114] (7)

[0115] (8)

[0116] (9)

[0117] (10)

[0118] (11)

[0119] (12)

[0120] (13)

[0121] (14)

[0122] (15)

[0123] (16)

[0124] (17)

[0125] (18)

[0126] wherein, is the system load in period ; is the dual variable of constraint (2), taking the day-ahead system-wide electricity price at the time of full clearing; is the winning electricity quantity of the thermal power unit in the bidding segment for the whole day; is the declared electricity quantity of the thermal power unit in the bidding segment for the whole day; is the generation output of the thermal power unit in the bidding segment in period ; , are the maximum and minimum generation outputs of the thermal power unit in the bidding segment ; is the reference generation output of the thermal power unit in period ; , is the winning charging and discharging electricity quantity of the energy storage power station in the bidding segment for the whole day; is the discharging efficiency of the energy storage power station ; is the charging efficiency of the energy storage power station ; , is the declared charging and discharging electricity quantity of the energy storage power station in the bidding segment for the whole day; , is the charging and discharging output of the energy storage power station in the bidding segment in period ; , 、 、 for the energy storage power station the bidding segment of the maximum and minimum charging and discharging power; 、 for the energy storage power station the benchmark charging and discharging power in the time period .

[0127] formula (3) is a thermal power unit the bidding segment the maximum power constraint throughout the day; formula (4) is a thermal power unit the bidding segment the bidding power expression in the time period , which adopts the way of obtaining the benchmark power generation power plan by evenly distributing the bidding power to each operation time period; formula (5) is a segment power constraint; formula (6) is a thermal power unit the power expression in the time period ; formula (7) is a thermal power unit the bidding power expression in the time period ; the constraints of new energy units , hydroelectric units are consistent with formulas (3)-(7), which are not listed here; formula (8) is an energy storage power station the whole-day charging power and the whole-day power generation power balance constraint; formulas (9)-(10) are energy storage power stations the bidding segment the whole-day maximum charging and discharging power constraint; formulas (11)-(12) are energy storage power stations the bidding segment the bidding charging and discharging power expression in the time period ; formulas (13)-(14) are energy storage power stations the bidding segment the charging and discharging power constraint; formulas (15)-(16) are energy storage power stations the charging and discharging power expression in the time period ; formulas (17)-(18) are energy storage power stations the bidding charging and discharging power expression in the time period .

[0128] solving the above model can obtain the benchmark power plan of each unit in the day-ahead 、 、 、 、 , the day-ahead full-out-clearing time period system power price .

[0129] Step two: Establish a flexible adjustment capacity clearing model, the objective function is the minimum cost of adjusting the reference output of each unit in the system to match the electricity load, that is, the difference between the total power generation cost before and after the unit output adjustment is minimized:

[0130] (19)

[0131] wherein, , , , , is the thermal power unit , new energy unit , hydropower unit , energy storage power station charge and discharge in the first segment of the flexible adjustment capacity clearing link segment ; is the power generation cost of the segmented power clearing link.

[0132] The constraint conditions are as follows:

[0133] System balance constraint:

[0134] (20)

[0135] (21)

[0136] (22)

[0137] (23)

[0138] (24)

[0139] (25)

[0140] (26)

[0141] (27)

[0142] (28)

[0143] (29)

[0144] (30)

[0145] (31)

[0146] wherein, , , , , For thermal power units New energy units Hydropower units Energy storage power station Charge and discharge in the first Period of time The winning bid adjusts the output; , , , , The daytime power output plan for each unit at each time period; , , , For thermal power units New energy units Hydropower units Energy storage power station The node-unit association matrix; For nodes During the period The load; The dual variable constrained by equation (30) is the node electricity price obtained by clearing the flexible adjustment capacity in each time period; , For the line Consider the minimum and maximum active power transmission capacity in the positive direction; , , , For thermal power units New energy units Hydropower units Energy storage power station The node is connected to the line The transition distribution factor; For nodes For the line The transition distribution factor.

[0147] Equations (20)-(21) are expressions for the power output regulation of thermal power units; Equations (22)-(23) are expressions for the power output regulation of new energy units; Equations (24)-(25) are expressions for the power output regulation of hydropower units; Equations (26)-(29) are expressions for the power output regulation of energy storage units during charging and discharging; Equation (30) is the power balance constraint for regulation; Equation (31) is the active power flow constraint for the system.

[0148] Thermal power unit constraints:

[0149] (32)

[0150] (33)

[0151] (34)

[0152] wherein, is the ramping capability of the thermal power unit.

[0153] Equation (32) is the maximum and minimum power output constraint of the thermal power unit; equation (33) is the winning treatment constraint of the thermal power unit in the first Equation (34) is the ramping constraint of the thermal power unit.

[0154] New energy unit constraints:

[0155] (35)

[0156] wherein, is the ramping capability of the new energy unit.

[0157] Equation (35) is the maximum and minimum power output constraint of the new energy unit.

[0158] Energy storage station constraints:

[0159] (36)

[0160] (37)

[0161] (38)

[0162] (39)

[0163] (40)

[0164] (41)

[0165] wherein, is the state of charge of the energy storage station in the time period; is the minimum energy storage capacity of the energy storage station; is the maximum energy storage capacity of the energy storage station; , is the minimum charging and discharging power of the energy storage station; ​​​​​​​​​​, For energy storage power stations Maximum charge and discharge output; For energy storage power stations The discharge efficiency; For energy storage power stations The charging efficiency.

[0166] Equations (36)-(37) represent energy storage power stations No. Segment in time period The winning bid charging and discharging capacity constraint; Equation (38) is the capacity constraint of the energy storage power station; Equations (39)-(40) are the energy storage power station The maximum and minimum charge / discharge output constraints; Equation (41) is the energy storage power station The dynamic equilibrium equation shows that the energy storage capacity of a power station in a certain period is the energy storage capacity of the previous period minus the discharge output of this period, plus the effective charging power of this period.

[0167] Hydropower unit constraints:

[0168] (42)

[0169] (43)

[0170] (44)

[0171] (45)

[0172] (46)

[0173] (47)

[0174] (48)

[0175] in, For hydroelectric generator units Price range The application and contribution; For hydropower Time period Storage capacity; For hydropower Minimum storage capacity limit; For hydropower Maximum storage capacity limit; This is the hydroelectric conversion coefficient; For hydropower Time period The power generation flow rate; For hydropower Minimum power generation flow; the maximum generation flow of the hydropower station; the minimum output of the hydropower unit; the maximum output of the hydropower unit; the minimum output of the hydropower unit; the maximum output of the hydropower unit; the maximum output of the hydropower unit; the discharge flow of the hydropower station during the time period; the discharge flow of the hydropower station during the time period; the discharge flow of the hydropower station during the time period; the discharge flow of the hydropower station during the time period; the discharge flow of the hydropower station during the time period; the discharge flow of the hydropower station during the time period; the discharge flow of the hydropower station during the time period; the discharge flow of the hydropower station during the time period; the discharge flow of the hydropower station during the time period; the discharge flow of the hydropower station during the time period;

[0176] the winning electricity quantity constraint of the hydropower unit during the bidding period; formula (43) is the reservoir storage constraint of the hydropower unit; formula (44) is the relationship conversion formula between the generation output and the generation flow of the hydropower unit; formula (45) is the maximum and minimum generation flow constraint of the hydropower unit; formula (46) is the maximum and minimum output constraint of the hydropower unit; formula (47) is the minimum and maximum discharge flow constraint of the hydropower; and formula (48) is the dynamic balance equation of the reservoir where the hydropower unit is located.

[0177] solving the above model can obtain the flexible adjustment output plan of each unit in the day-ahead , , , , , superimposing the benchmark output plan, to obtain the day-ahead generation output plan of each unit in each time period , , , , ; at the same time, the flexible adjustment electricity price of each node in each time period in the day-ahead can be obtained .

[0178] Step three: establishing a day-ahead market settlement model of each unit, the cost or benefit of each type of unit in the day-ahead market is composed of the cost or benefit of the segmented electricity quantity outflow and the flexible adjustment capacity outflow:

[0179] (49)

[0180] (50)

[0181] ​​​​​​​ (51)

[0182] (52)

[0183] wherein, , , , is the income of the thermal power unit, new energy unit, hydropower unit and energy storage station in the day-ahead market.

[0184] The following uses IEEE 118 node system to analyze the implementation process of the method. The system includes 9 thermal power units, 12 photovoltaic power stations, 11 wind farms, 12 energy storage stations and 10 hydropower stations, a total of 54 units. The installed capacity of thermal power, wind power, photovoltaic power generation and hydropower in the system is 3100MW, 1680MW, 1800MW and 1000MW respectively, the maximum load of the system is 5100MW, and the minimum load is 1450MW; the thermal power units are divided into 5 segments for bidding, and the bidding of the 9 units is different, the price interval is $21.6-65.28 / MWh, the new energy bidding is $10 / MWh, the hydropower bidding is $3 / MWh, the energy storage charging bidding is $38 / MWh, and the discharge bidding is $83-103 / MWh. The whole day is divided into 96 time periods, and the dispatching is carried out every 15 minutes. The results are as follows by using the market dispatching method and the current market dispatching method respectively.

[0185] The output plan under the current market dispatching method is shown in Figure 4 . Among them, 7 thermal power units are in operation all day, and another 2 thermal power units are started in period 28. Photovoltaic only participates in power generation in periods 21-68. Periods 12-16 are low load periods, the thermal power is reduced to the minimum output, and the energy storage plays a "filling valley" role to charge; after periods 60-68, the photovoltaic output gradually decreases to 0, while the load continues to increase, at this time the hydropower output reaches the maximum, the thermal power output increases significantly, and the energy storage is in the discharge state.

[0186] The start-stop state of each unit under the market dispatching method proposed by the application is consistent with the result under the current market dispatching method, and the reference output plan of each type of unit obtained in the segmented power dispatching link is shown in Figure 5 . Due to the use of the method of evenly distributing the mark quantity in the segmented power dispatching to each operation period, the reference output of each type of power source in its operation period is constant. Among them, 2 units are started in period 28, which increases the reference output of the whole thermal power from 1270MW to 1590MW; the reference output of hydropower, wind power and photovoltaic in their operation period is 375MW, 1180MW and 1268MW respectively.

[0187] The flexible adjustment capacity out-clearing link obtains the flexible adjustment output of various types of units, and the day-ahead generation plan after superimposing the reference output plan is as shown in the figure. Figure 6 Figure 4 Figure 6 It can be known from the results that the market out-clearing method proposed in the application can obtain the generation output plan consistent with the current market out-clearing method.

[0188] The node price under the current market out-clearing method, and the full out-clearing period system power price and the flexible adjustment price of each node under the market out-clearing method proposed in the application are compared as shown in the figure. Figure 7

[0189] The income of various types of units in the two out-clearing methods and the total power purchase cost are as shown in Table 1.

[0190]

[0191] It can be known from Table 1 that the total power purchase cost under the market out-clearing method proposed in the application is $3.60x10 5 This is mainly because the income of the unit in the segmented power out-clearing link is lower than the income under the current market out-clearing method. The thermal power generation capacity is large, so the income in the segmented power out-clearing link is large, and because it has certain adjustment capacity, it can also obtain certain income in the flexible adjustment capacity out-clearing link, and the income in the flexible adjustment capacity out-clearing link accounts for 13.5% of the total income. New energy (wind power, photovoltaic) has volatility and uncontrollable output, so it will generate negative income and pay fees in the flexible adjustment capacity out-clearing link. This makes new energy actively consider the system adjustment cost caused by itself, and needs to consider this part of the cost when bidding, and declare a price higher than the production cost, which can reduce the occurrence of zero price or negative price. Hydropower plays an important role in flexible adjustment, and obtains a large income in the flexible adjustment capacity out-clearing link, accounting for 25.8% of the total income. The unit power income of energy storage charging and discharging is equal in the two out-clearing methods, because the charging and discharging plan and the market out-clearing price are equal.

[0192] In summary, in the calculation of effective regulation capacity, the application not only considers the actual renewable energy consumption demand of the system through the net load scene generation technology, but also fully considers the technical and economic characteristics of the resource itself by adding the SCUC and SCED simulation of unit modeling, so that the effective regulation capacity evaluation is closer to the system operation, and provides a scientific and effective reference for system planning and operation.

[0193] Abbreviations in the article:​​​

[0194] SCUC (Security Constrained Unit Commitment) is a model for constrained unit composition.

[0195] SCED (Security Constrained Economic Dispatch) is a security-constrained economic dispatch model.

[0196] It should be emphasized that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any way. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention shall still fall within the scope of the technical solution of the present invention.

Claims

1. A method for clearing a power spot market distinguishing between block quantities and flexible regulation values, characterized in that, The method comprises the following steps: Step 1, day-ahead market unit bidding; Step 2, decomposing the security-constrained economic dispatch in the current power spot market clearing method into segmented power clearing and flexible regulation capacity clearing; Step 3, day-ahead market settlement of various types of units; The step 2 specifically comprises: A segmented power clearing model is established with the minimum total system generation cost as an objective function, and the objective function is the minimum total system generation cost; the constraints include: total system load power balance constraint, total system power constraint, and winning power constraint; A flexible regulation capacity clearing model is established with the minimum cost of adjusting the power of each unit based on the reference power to match the power load as an objective function, and the objective function is the minimum difference between the total generation cost before and after the unit power adjustment; the constraints include: system balance constraint, system active power flow constraint, unit power constraint, thermal power climbing constraint, energy storage capacity constraint, and reservoir capacity constraint The objective function of the segmented power clearing model is: （1） In formula (1), , , , , thermal power units , new energy units , hydropower units , energy storage power stations charging and discharging the price of the price in the first segment of the segment bidding, , , , , thermal power units , new energy units , hydropower units , energy storage power stations The winning electricity quantity of charging and discharging in the first segment of the segment electricity clearing link segment ; The objective function of the flexible regulation capacity clearing model is: （19） In formula (19), , , , , thermal power generating units , new energy generating units , hydropower generating units , energy storage power stations charging and discharging in the flexible adjustment capacity out-clearing link segment, , , , , , thermal power generating units , new energy generating units , hydropower generating units , energy storage power stations charging and discharging bidding segment in the time period , , is the generation cost of the segmented power quantity out-clearing link, time period.

2. The method of clearing a spot market for electricity that distinguishes between segmental electrical quantities and flexible adjustment values according to claim 1, characterized in that, The step 1 comprises: unit-side bidding and market bidding, wherein: The unit-side bidding is: thermal power, new energy, energy storage, and hydropower units respectively declare power quantity price curves, and the upper and lower limits of the generation capacity of each bidding segment in the whole clearing period; The market bidding is: declaring demand quantity price curves.

3. The method of clearing a spot market for electricity that distinguishes between segmental electrical quantities and flexible adjustment values according to claim 1, wherein, The constraint conditions of the segmented power clearing model include: （2） （3） （4） （5） （6） （7） （8） （9） （10） （11） （12） （13） （14） （15） （16） （17） （18） In formula (2) to formula (18), is the system load, is the system load, is the dual variable, is the thermal power unit is the bidding segment is the total winning electricity in the day, is the thermal power unit is the bidding segment is the total declared electricity in the day, is the thermal power unit is the bidding segment is the power generation output in the time period is the power generation output in the time period is the thermal power unit is the on-off state 0-1 variable of the thermal power unit is the charging state variable of the energy storage power station is the charging state variable of the energy storage power station is the discharging state variable of the energy storage power station is the discharging state variable of the energy storage power station is the maximum and minimum output of the thermal power unit is the bidding segment is the reference power generation output of the thermal power unit is the reference power generation output of the thermal power unit is the total winning charging and discharging electricity of the energy storage power station is the bidding segment is the discharging efficiency of the energy storage power station is the charging efficiency of the energy storage power station is the charging efficiency of the energy storage power station is the total declared charging and discharging electricity of the energy storage power station is the total declared charging and discharging electricity of the energy storage power station is the charging and discharging output of the energy storage power station is the bidding segment is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station is the charging and discharging maximum and minimum output of the energy storage power station reference charge / discharge output.

4. The method of clearing a spot market for electricity that distinguishes between segmental electrical quantities and flexible adjustment values according to claim 3, wherein, The constraint conditions of the flexible regulation capacity clearing model include: System balance constraint: （20） （21） （22） （23） （24） （25） （26） （27） （28） （29） （30） （31） In formula (20) to formula (31), , , , , thermal power units , new energy units , hydropower units , energy storage power stations charge and discharge in the first section of the period, , , new energy units , hydropower units reference power generation output in the period , , , , , day-ahead power generation output plan of each unit in each period, , , , thermal power units , new energy units , hydropower units , energy storage power stations node unit association matrix, load at node in the period , dual variable of the constraint, , minimum and maximum active transmission capacity of line considering the positive direction; , , , thermal power units , new energy units , hydropower units , energy storage power stations transfer distribution factor of the node pair line; transfer distribution factor of node to line ; Thermal power unit constraint: （32） （33） （34） In equations (32) to (34), For thermal power units climbing ability For thermal power units Minimum technical output For thermal power units Maximum technical output For thermal power units exist The moment of winning the bid, For thermal power units exist The on / off status at all times; New energy unit constraint: （35） In formula (35), The new energy unit The climbing ability of the new energy unit; Energy storage power station constraint: （36） （37） （38） （39） （40） （41） In equations (36) to (41), For energy storage power stations Time period The state of charge, For energy storage power stations The minimum energy storage capacity, For energy storage power stations Maximum energy storage capacity, , For energy storage power stations The minimum charge and discharge output power, , For energy storage power stations Maximum charge and discharge output, For energy storage power stations The discharge efficiency, For energy storage power stations Time period The state of charge, For energy storage power stations The charging efficiency; , For energy storage power stations Price range Time period The maximum output power during charging and discharging; Hydropower unit constraint: （42） （43） （44） （45） （46） （47） （48） in formulas (42) to (48), water turbine offer segment of the declared output, water power time period of the reservoir capacity, water power minimum reservoir capacity limit, water power maximum reservoir capacity limit, water power conversion factor, water power time period of the power generation flow, water power minimum power generation flow, water power maximum power generation flow, water turbine minimum output, water turbine maximum output, water power time period of the outflow, water power minimum outflow, water power maximum outflow, water power time period of the inflow, water power time period of the reservoir capacity, water turbine start-stop state 0-1 variable in the time period .

5. The method of clearing a spot market for electricity that distinguishes between segmental electrical quantities and flexible adjustment values according to claim 4, wherein, In the step 3, the cost or benefit of each type of unit in the day-ahead market is composed of the cost or benefit of the segmented power clearing and the flexible regulation capacity clearing, including: (49) （50） （51） （52） In equations (49) to (52), , , , These represent the day-ahead market earnings of thermal power units, new energy power units, hydropower units, and energy storage power stations, respectively.

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