Electric power spot market clearing method, system and device comprising new energy station

Abstract

The invention discloses an electric power spot market clearing method, system and device containing a new energy station, and relates to the technical field of electric power spot markets, and the method comprises the steps: obtaining the segmented quotation data and transaction day prediction data of a thermal power generating unit and the new energy station; constructing a spot market clearing model by taking the minimum power utilization cost of the whole network as an objective function; inputting the segmented quotation data and the trading day system load prediction data into a spot market clearing model to obtain market member transaction power and transaction prices including a new energy station and a thermal power generating unit; judging whether the new energy station is a marginal unit or not according to the transaction price, and if yes, constructing a virtual quotation of the new energy station; solving the market clearing model again by using a mathematical solver to obtain the final trading volume of other units and the new energy station; the problem of how to carry out priority clearing calculation on an electric power spot market in which a new energy station participates is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of electricity spot market, and in particular to a method, system and device for clearing an electricity spot market including a new energy station. Background Art

[0002] With the continuous development of the power system, the proportion of new energy in the new power system continues to increase. However, wind power and solar power generation are greatly affected by the weather, have obvious intermittent and volatile characteristics, and have poor controllability, which brings huge challenges to the safe and reliable operation of the new power system.

[0003] Traditional power system dispatching methods include price adjustment, dispatching instructions, peak load regulation, power outages and other methods. Due to the volatility of renewable energy power generation and the difficulty of long-, medium- and short-term forecasts, it is difficult to adjust prices accurately and it is difficult to adjust prices monthly or daily. Therefore, prices are often inconsistent with actual supply and demand, and even further deteriorate supply and demand. In the absence of effective price signal guidance, market players on both sides of power generation and consumption will not actively participate in dispatching adjustments. Electricity spot market clearing refers to the market clearing price formed through competition in a competitively priced power market, so that the supply and demand of the market are balanced; and the electricity spot market can match renewable energy power generation through price signals. Both sides of power generation and consumption, including thermal power, self-contained power plants, some hydropower plants and adjustable loads, can actively respond to price signals, so as to achieve efficient coordination between the operation of both sides of power generation and consumption and renewable energy power generation. With the help of the spot market as a fulcrum, while ensuring the safe and reliable operation of the new power system, the workload of dispatching and management will be greatly reduced, and only traditional power generation plans and power dispatching procedures need to be executed; in addition, the spot market also realizes efficient coordination between the power grid and power generation and users through economic connections, and effectively guarantees the implementation of new energy consumption and power supply requirements while achieving optimal resource allocation.

[0004] However, when renewable energy and thermal power units participate in the spot market bidding together, due to the randomness of the optimal solution of the mathematical solver currently used, the marginal electricity will be randomly allocated to the marginal thermal power units or the renewable energy units, and the clearing electricity of the renewable energy stations will not be given priority, resulting in the new energy units being unable to win the bid and resulting in energy abandonment. Summary of the invention

[0005] In view of the deficiency of the prior art that the marginal electricity is not allocated preferentially to the new energy units, the present invention proposes a method, system and device for clearing the electricity spot market containing new energy stations. By adopting a two-stage clearing strategy to give priority to the consumption of clean energy, in the first stage, the new energy stations fully participate in the spot market and bid on the same platform with the thermal power units, a spot market clearing model is constructed, and the transaction electricity and transaction prices of market members including the new energy stations and the thermal power units are calculated. In the second stage, based on the clearing results of the first stage, the marginal units are determined, virtual quotation data are constructed, the market is cleared again, and then the clearing electricity of the new energy stations with priority is calculated, thereby solving the problems existing in the prior art.

[0006] A method for clearing a power spot market including a new energy station comprises the following steps:

[0007] Obtain segmented quotation data and trading day forecast data for thermal power units and new energy stations;

[0008] The constraint conditions are constructed with the forecast data of the trading day, and the spot market clearing model is constructed with the minimum segmented quotation data as the objective function;

[0009] Solve the spot market clearing model to obtain the transaction power and transaction price of market members including new energy stations and thermal power units;

[0010] According to the transaction power and transaction price, determine whether the new energy station is a marginal unit. If so, construct a virtual quotation of the new energy station; based on the virtual quotation of the new energy station, given the transaction power of other units except the marginal units, re-solve the spot market clearing model to obtain the final transaction volume of market members including new energy stations and thermal power units; based on the final transaction volume of market members including new energy stations and thermal power units, clear the transaction power of the new energy station first.

[0011] Furthermore, the trading day forecast data includes the trading day period t system load forecast data D t , bus load forecast data D of node k in period t k,t , the output forecast data of new energy in period i is The planned data of tie line j in period t is T j,t .

[0012] Furthermore, the constraints constructed with the trading day forecast data specifically include:

[0013] The system load balancing constraint is expressed as:

[0014]

[0015] Among them, P i,t represents the output of unit i in period t, Tj,t represents the planned data of tie line j in period t, NT is the total number of tie lines, D t is the system load during time period t;

[0016] The upper and lower limits of the unit output are expressed as:

[0017]

[0018] in, are the maximum and minimum outputs of unit i and time period t.

[0019] The line power flow safety constraint is expressed as:

[0020]

[0021] Among them, P l max is the power transmission limit of line l; G l-i is the generator output power transfer distribution factor of the node where unit i is located to line l; G l-j is the power transfer distribution factor of the generator output from the node of tie line j to line l; K is the number of nodes in the system; G l-k is the generator output power transfer distribution factor of node k to line l; D k,t is the bus load value of node k in period t; are the forward and reverse power flow relaxation variables of line l respectively;

[0022] The section flow safety constraint is expressed as:

[0023]

[0024] Among them, P s min , P s max are the upper and lower limits of the tidal current in section s respectively; G s-i G is the generator output power transfer distribution factor of the node where unit i is located to section s; s-j G is the generator output power transfer distribution factor of the node of tie line j to section s; s-k is the generator output power transfer distribution factor of node k to section s; are the positive and reverse flow relaxation variables of section s respectively.

[0025] Furthermore, the objective function is to minimize the segmented quotation data, which is expressed as:

[0026]

[0027] Where N is the number of units, T is the number of time periods, and Ci,t (P i,t ) is a multi-segment linear function related to the output ranges reported by the unit and the corresponding energy prices. i,t It is a segmented quotation for units and new energy stations.

[0028] Furthermore, the mosek commercial mathematical solver is used to solve and calculate the spot market clearing model, and the transaction power and transaction price γ of market members including new energy stations and thermal power units are obtained.

[0029] Furthermore, according to the transaction price γ, it is judged whether the new energy station is a marginal unit, and if so, a virtual quotation of the new energy station is constructed; the judgment process specifically includes: if there is a tiered quotation C reported by the new energy station g i,t =γ, then the new energy station g is the marginal unit, which constructs the virtual quotation of the new energy station g for:

[0030]

[0031] Where μ is a preset constant.

[0032] The present invention also includes a power spot market clearing system including a new energy station, comprising:

[0033] The acquisition module is used to obtain the segmented quotation data and trading day forecast data of thermal power units and new energy stations;

[0034] Model building module, used to build constraints based on the forecast data of the trading day, and to build a spot market clearing model with the minimum segmented quotation data as the objective function;

[0035] The calculation module is used to solve the spot market clearing model and obtain the transaction power and transaction price of market members including new energy stations and thermal power units;

[0036] The clearing module is used to determine whether the new energy station is a marginal unit based on the transaction power and transaction price, and if so, to construct a virtual quotation of the new energy station; based on the virtual quotation of the new energy station, given the transaction power of other units except the marginal units, the spot market clearing model is re-solved to obtain the final transaction volume of market members including new energy stations and thermal power units; based on the final transaction volume of market members including new energy stations and thermal power units, the transaction power of the new energy station is cleared first.

[0037] The present invention also includes a computer device for clearing the electricity spot market containing new energy stations, including: a memory, a processor, and a computer program stored in the memory, and when the processor executes the computer program, it implements the steps of the method for clearing the electricity spot market containing new energy stations.

[0038] The present invention also includes a readable storage medium, which stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, they are used to execute the steps of the method for clearing the electricity spot market containing new energy stations.

[0039] The present invention provides a method, system and device for clearing a power spot market including a new energy station, which has the following beneficial effects:

[0040] The present invention adopts a two-stage clearing strategy to give priority to the consumption of clean energy under the premise of satisfying feasibility, safety, efficiency and reliability. In the first stage, new energy stations fully participate in the spot market and bid on the same platform with thermal power units. Based on the acquired segmented quotation, system load forecast and other data, a spot market clearing model is constructed to further calculate the transaction power and transaction price of market members including new energy stations and thermal power units. In the second stage, based on the clearing results of the first stage, the marginal units are determined, virtual quotation data is constructed, and the market is cleared again to obtain the final transaction volume of market members including new energy stations and thermal power units, and then the clearing power of new energy stations is obtained, thereby solving the problem of how to give priority to clearing in the electricity spot market in which new energy stations participate. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 The present invention is a flowchart of a method for clearing a spot electricity market including a new energy station in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0043] The present invention proposes a method for clearing the electricity spot market including new energy stations, such as Figure 1 As shown, the specific steps include:

[0044] S1. Obtain the segmented quotation data of thermal power units and new energy stations C i,t , which is the operating cost of unit or new energy station i in period t, C i,t (P i,t ) is a multi-segment linear function related to the output ranges declared by the unit and the corresponding energy prices.

[0045] S2. Obtain the system load forecast data, busbar load forecast data, new energy output forecast data, and tie line plan data for the trading day, specifically the system load forecast data D for the trading day period t. t, bus load forecast data D of node k in period t k,t , the output forecast data of new energy in period i is The planned data of tie line j in period t is T j,t .

[0046] S3. Construct system load balance constraints, unit output upper and lower limit constraints, line flow safety constraints, and section flow safety constraints, specifically system load balance constraints, unit output upper and lower limit constraints, line flow safety constraints, and section flow safety constraints.

[0047] Construct system load balancing constraints, specifically:

[0048]

[0049] Among them, P i,t represents the output of unit i in period t, T j,t represents the planned power of tie line j in time period t, NT is the total number of tie lines, D t is the system load during period t.

[0050] Construct the upper and lower limits of the unit output, specifically:

[0051]

[0052] Construct line flow safety constraints, specifically:

[0053]

[0054] Among them, P l max is the power transmission limit of line l; G l-i is the generator output power transfer distribution factor of the node where unit i is located to line l; G l-j is the power transfer distribution factor of the generator output from the node of tie line j to line l; K is the number of nodes in the system; G l-k is the generator output power transfer distribution factor of node k to line l; D k,t is the bus load value of node k in time period t. are the forward and reverse power flow slack variables of line l respectively.

[0055] Construct section flow safety constraints, specifically:

[0056]

[0057] Among them, P s min , P s max are the power flow transmission limits of section s; Gs-i G is the generator output power transfer distribution factor of the node where unit i is located to section s; s-j G is the generator output power transfer distribution factor of the node of tie line j to section s; s-k is the generator output power transfer distribution factor for node k to section s. are the positive and reverse flow relaxation variables of section s respectively.

[0058] S4. Construct the objective function to minimize the electricity cost of the entire network, specifically:

[0059]

[0060] Where N is the number of units and T is the number of time periods, which is generally 96.

[0061] S5. Use the linear programming mathematical solver to solve the model and obtain the transaction volume and transaction price of the unit and the new energy station. Specifically, use the mosek commercial mathematical solver to solve and calculate the constructed mathematical model to obtain the transaction power and transaction price γ of the unit and the new energy station.

[0062] S6. Based on the transaction price γ in the first-stage clearing result, if there is a tiered quotation C reported by the new energy station g, i,t =γ, then station g is the marginal unit, and the virtual quotation of station g is constructed as:

[0063]

[0064] Wherein μ is a preset constant, which can be 0.01.

[0065] S7. Except for the marginal units, the other units are given an initial solution as the winning bid amount for one stage, and the constructed mathematical model is re-solved using the linear programming solver to obtain the final transaction volume (the mathematical model is given an initial solution, in which the output values ​​of all units except the marginal units are given, and only the winning bid amount of the marginal units is changed).

[0066] Based on the same inventive concept, the present invention also proposes a power spot market clearing system including a new energy station, comprising:

[0067] The acquisition module is used to obtain the segmented quotation data and trading day forecast data of thermal power units and new energy stations;

[0068] Model building module, used to construct constraint conditions based on the forecast data of trading day, and to build a spot market clearing model with the minimum segmented quotation data as the objective function;

[0069] The calculation module is used to solve the spot market clearing model and obtain the transaction power and transaction price of market members including new energy stations and thermal power units;

[0070] The clearing module is used to determine whether the new energy station is a marginal unit based on the transaction power and transaction price, and if so, to construct a virtual quotation of the new energy station; based on the virtual quotation of the new energy station, given the transaction power of other units except the marginal units, the spot market clearing model is re-solved to obtain the final transaction volume of market members including new energy stations and thermal power units; based on the final transaction volume of market members including new energy stations and thermal power units, the transaction power of the new energy station is cleared first.

[0071] The present invention also proposes a computer device for clearing the electricity spot market containing new energy stations, comprising: a memory, a processor and a computer program stored in the memory, and when the processor executes the computer program, it implements the steps of a method for clearing the electricity spot market containing new energy stations.

[0072] The present invention also proposes a readable storage medium, which stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, they are used to execute the steps of a method for clearing a spot electricity market containing new energy stations.

[0073] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for clearing the electricity spot market including a new energy station, characterized in that: The following steps are involved: Obtain segmented quotation data and trading day forecast data for thermal power units and new energy stations; The constraint conditions are constructed with the forecast data of the trading day, and the spot market clearing model is constructed with the minimum segmented quotation data as the objective function; Solve the spot market clearing model to obtain the transaction power and transaction price of market members including new energy stations and thermal power units; According to the transaction power and transaction price, determine whether the new energy station is a marginal unit. If so, construct a virtual quotation of the new energy station; based on the virtual quotation of the new energy station, given the transaction power of other units except the marginal units, re-solve the spot market clearing model to obtain the final transaction volume of market members including new energy stations and thermal power units; based on the final transaction volume of market members including new energy stations and thermal power units, clear the transaction power of the new energy station first.

2. A method for clearing the electricity spot market containing new energy stations according to claim 1, characterized in that: The trading day forecast data includes the trading day period t system load forecast data D t , bus load forecast data D of node k in period t k,t , the output forecast data of new energy in period i is The planned data of tie line j in period t is T j,t .

3. A method for clearing the electricity spot market containing new energy stations according to claim 2, characterized in that: The constraints constructed based on the forecast data of trading days specifically include: The system load balancing constraint is expressed as: Among them, P i,t represents the output of unit i in period t, T j,t represents the planned data of tie line j in period t, NT is the total number of tie lines, D t is the system load during time period t; The upper and lower limits of the unit output are expressed as: in, are the maximum and minimum outputs of unit i and time period t. The line power flow safety constraint is expressed as: in, is the power transmission limit of line l; G l-i is the generator output power transfer distribution factor of the node where unit i is located to line l; G l-j is the generator output power transfer distribution factor of the node where the tie line j is located to the line l; K is the number of nodes in the system; G l-k is the generator output power transfer distribution factor of node k to line l; D k,t is the bus load value of node k in period t; are the forward and reverse power flow relaxation variables of line l respectively; The section flow safety constraint is expressed as: in, are the upper and lower limits of the tidal current in section s respectively; G s-i G is the generator output power transfer distribution factor of the node where unit i is located to section s; s-j G is the generator output power transfer distribution factor of the node of tie line j to section s; s-k is the generator output power transfer distribution factor of node k to section s; are the positive and reverse flow relaxation variables of section s respectively.

4. A method for clearing the electricity spot market containing new energy stations according to claim 2, characterized in that: The objective function is to minimize the segmented quotation data, which is expressed as: Where N is the number of units, T is the number of time periods, and C i,t (P i,t ) is a multi-segment linear function related to the output ranges reported by the unit and the corresponding energy prices, C i,t It is a segmented quotation for units and new energy stations.

5. A method for clearing the electricity spot market containing new energy stations according to claim 4, characterized in that: The mosek commercial mathematical solver is used to solve and calculate the spot market clearing model, and the transaction power and transaction prices of market members including new energy stations and thermal power units are obtained.

6. A method for clearing the electricity spot market containing new energy stations according to claim 5, characterized in that: According to the transaction price γ, it is determined whether the new energy station is a marginal unit, and if so, a virtual quotation of the new energy station is constructed; The judgment process specifically includes: if there is a tiered quotation C reported by a new energy station g i,t =γ, then the new energy station g is the marginal unit, which constructs the virtual quotation of the new energy station g for: Where μ is a preset constant.

7. A power spot market clearing system including a new energy station, characterized in that: include: The acquisition module is used to obtain the segmented quotation data and trading day forecast data of thermal power units and new energy stations; Model building module, used to construct constraint conditions based on the forecast data of trading day, and to build a spot market clearing model with the minimum segmented quotation data as the objective function; The calculation module is used to solve the spot market clearing model and obtain the transaction power and transaction price of market members including new energy stations and thermal power units; The clearing module is used to determine whether the new energy station is a marginal unit based on the transaction power and transaction price, and if so, to construct a virtual quotation of the new energy station; based on the virtual quotation of the new energy station, given the transaction power of other units except the marginal units, the spot market clearing model is re-solved to obtain the final transaction volume of market members including new energy stations and thermal power units; based on the final transaction volume of market members including new energy stations and thermal power units, the transaction power of the new energy station is cleared first.

8. A computer device for clearing the electricity spot market including a new energy station, characterized in that: include: A memory, a processor and a computer program stored in the memory, wherein when the processor executes the computer program, the steps of the method for clearing the electricity spot market containing new energy stations described in any one of claims 1 to 6 are implemented.

9. A readable storage medium, characterized in that: The readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor, they are used to execute the steps of the method for clearing the electricity spot market containing new energy stations as described in any one of claims 1-6.

Images