A method and system for making day-ahead plan considering gas generator sets

Abstract

The present invention discloses a method and system for formulating a day-ahead plan considering gas-fired units, the method comprising: obtaining a load forecast value of a power grid and a forecast power of a new energy unit; bringing the load forecast value of the power grid and the forecast power of the new energy unit into a pre-built optimization model for calculation to obtain the output power of each unit; formulating a day-ahead plan for the power grid based on the output power of each unit; the units comprising: a gas-fired unit, a thermal power unit and a new energy unit; the optimization model is based on the load forecast value of the gas-fired unit in multiple application modes, the frequency regulation standby demand of the power grid, the accident standby demand of the power grid and the forecast power of the new energy unit as constraints and is constructed with the goal of minimizing the operating cost of each unit and the abandoned power of the new energy unit; giving full play to the role of the gas-fired unit in participating in the power grid dispatching, improving the regulation level and utilization efficiency of the gas-fired unit in multiple modes, improving the wind power consumption level, and ensuring the safe and stable operation of the power grid.

Description

Technical Field

[0001] The invention relates to automation technology, and in particular to a method and system for formulating a day-ahead plan considering gas generator sets. Background Art

[0002] In recent years, the installed capacity of wind turbines and photovoltaic units has increased rapidly because wind power generation and photovoltaic power generation have the characteristics of energy conservation and environmental protection, which conforms to the advocacy of using renewable resources for power generation. However, wind power generation and photovoltaic power generation are very unstable and have strong intermittency. In addition, the uneven distribution of areas rich in renewable resources and areas with concentrated loads has led to serious power abandonment. Gas units, which are also energy-saving and environmentally friendly, have good response and frequency modulation characteristics and can be applied to frequency modulation, standby and other mode scenarios, which can effectively improve the ability to absorb the fluctuation of new energy power. However, the current construction and operation costs of gas units are relatively high. Therefore, studying how to balance and optimize the configuration between the various application modes of gas units so as to give full play to the value of gas units in the power grid is of great significance for guiding the construction and operation of large-capacity gas units. Summary of the invention

[0003] In order to solve the above-mentioned deficiencies in the prior art, the present invention provides a method for formulating a day-ahead plan considering a gas generator set, comprising:

[0004] Obtain the load forecast value of the power grid and the predicted power of the new energy units;

[0005] The load forecast value of the power grid and the forecast power of the new energy unit are brought into the pre-built optimization model for calculation to obtain the output power of each unit;

[0006] Formulate day-ahead plans for the power grid based on the output power of each unit;

[0007] Among them, the units include: gas units, thermal power units and new energy units; the optimization model is based on the load forecast value of the gas units in various application modes, the power grid frequency regulation standby demand, the power grid accident standby demand and the predicted power of the new energy units as constraints and is constructed with the goal of minimizing the operating cost of each unit and the abandoned power of the new energy units; the application modes include: application to the electricity market, frequency regulation market and standby mode.

[0008] Preferably, the construction of the optimization model includes:

[0009] The optimization goal is to minimize the operating cost of each unit and the abandoned power of the new energy units within the planning period;

[0010] Constraints are established based on the load forecast values ​​of gas units under various application modes, grid frequency regulation reserve requirements, grid accident reserve requirements, and predicted power of new energy units;

[0011] The constraints include: load balance constraints, peak load regulation constraints, grid frequency regulation and standby constraints, grid accident standby constraints, performance constraints of each unit, network flow constraints and reserved capacity constraints.

[0012] Preferably, the optimization target is as shown in the following formula:

[0013]

[0014] Where F is the operating cost of the unit and the abandoned power of the new energy unit during the planning period, T is the total time period in the planning period, N is the total number of thermal power units, and p is i,t is the power generation of thermal power unit i in period t, F(p i,t ) is the operating cost of thermal power unit i in period t, G(p s,t ) is the operating cost of gas unit s in period t, p s,t is the power generation of gas unit s in period t, ε is the penalty factor for the amount of power abandoned by renewable energy, ΔP w,t is the amount of power abandoned by the new energy unit w in period t.

[0015] Preferably, the load balancing constraint is as shown in the following formula:

[0016]

[0017] Where: P d,t is the load forecast value of the power grid at time t, p s,t is the power generation of gas unit s in time period t, N is the total number of thermal power units, p i,t is the power generation of thermal power unit i in period t, P w,t is the predicted power of the new energy unit w in time period t;

[0018] The peak load constraint is as follows:

[0019] u s,t =1if(p d,t =p d,max )

[0020] In the formula, u s,t is the state of gas generator set s in period t, p d,max is the maximum value of the grid load on that day;

[0021] The grid frequency regulation reserve constraint is as shown in the following formula:

[0022]

[0023] Where: p i,max is the maximum output of thermal power unit i, p i,min is the minimum output of thermal power unit i, N is the total number of thermal power units, R u,t is the upper frequency regulation reserve demand of the power grid load in time period t, R d,t is the frequency regulation reserve demand of the power grid load in time period t, ξ is the frequency regulation reserve coefficient required by the output of new energy, and p sf,t Frequency regulation reserve provided for gas units during time period t.

[0024] Preferably, the grid accident reserve constraint is as shown in the following formula:

[0025]

[0026] In the formula, p sb,t is the emergency reserve provided by the gas unit in period t, N is the total number of thermal power units, p i,bmax The emergency reserve provided by thermal power unit i during period t, P w,t is the predicted power of the new energy unit w in period t; P d,t is the load forecast value of the power grid at time t, R b,t To provide emergency backup for the power grid.

[0027] Preferably, the performance constraints of each unit include unit output limit constraints and unit climbing constraints;

[0028]

[0029] Where P a,min is the minimum output of unit a, p a,t is the power generation of unit a in period t, P a,max is the maximum output of unit a, p a,t-1 is the power generation of unit a in period t-1, P a,up is the climbing limit of unit a, P a,down is the down-climbing limit of unit a, where unit a includes gas units and thermal power units.

[0030] Preferably, the network power flow constraint includes a power flow balance constraint and a branch limit constraint;

[0031] The power flow balance constraint is shown in the following formula:

[0032] -f br,max ≤f br,t ≤f br,max

[0033] In the formula, f br,t is the active power flow of branch br in period t, fbr,max is the maximum value of active power flow of branch br;

[0034] The branch limit constraint is as shown in the following formula:

[0035]

[0036] Where θ is a column vector, representing the active power phase angle of each node, p is the active power injected into each node, X is the node impedance matrix of the network, and f k,j is the active power flow of the branch between node k and node j, x k,j is the reactance value of the branch between node k and node j, θ k is the active power phase angle of node k, θ j is the active power phase angle of node j.

[0037] Preferably, the reserved capacity constraint includes a frequency modulation reserved capacity constraint and a standby reserved capacity constraint;

[0038] The frequency modulation reserved capacity constraint is as shown in the following formula:

[0039] p s,t +p sf,t +p sb,t ≤p s,max

[0040] In the formula, p s,t is the power generation of gas generator set s in period t, p sf,t The frequency regulation reserve provided by the gas unit in time period t, p sb,t The emergency backup provided by the gas unit during period t, P s,max is the upper limit of the power of gas generator set s;

[0041] The reserve capacity constraint is as follows:

[0042] p s,t -p sf,t ≥p s,min

[0043] In the formula, p s,min It is the minimum technical output of gas generator set.

[0044] Preferably, the load forecast value of the power grid and the forecast power of the new energy unit are brought into a pre-built optimization model for calculation to obtain the output power of each unit, including:

[0045] The mixed integer programming or artificial intelligence algorithm is used to solve the optimization model and obtain the output power of each unit.

[0046] Based on the same inventive concept, the present invention also provides a day-ahead planning system considering gas generator sets, comprising:

[0047] An acquisition module is used to obtain the load forecast value of the power grid and the predicted power of the new energy unit;

[0048] A calculation module is used to bring the load forecast value of the power grid and the forecast power of the new energy unit into a pre-built optimization model for calculation to obtain the output power of each unit;

[0049] A planning module is used to formulate a day-ahead plan for the power grid based on the output power of each unit;

[0050] Among them, the units include: gas units, thermal power units and new energy units; the optimization model is based on the load forecast value of the gas units in various application modes, the power grid frequency regulation standby demand, the power grid accident standby demand and the predicted power of the new energy units as constraints and is constructed with the goal of minimizing the operating cost of each unit and the abandoned power of the new energy units; the application modes include: application to the electricity market, frequency regulation market and standby mode.

[0051] Preferably, the calculation module includes:

[0052] Construct an objective function unit to construct an optimization target based on the minimum operating cost of each unit and the abandoned power of the new energy unit within the planning period;

[0053] A constraint condition unit is constructed to construct constraint conditions based on the load forecast value of the gas unit in various application modes, the grid frequency regulation reserve demand, the grid accident reserve demand and the predicted power of the new energy unit;

[0054] The constraints include: load balance constraints, peak load constraints, frequency regulation constraints, emergency standby constraints, performance constraints of each unit, network flow constraints and reserved capacity constraints.

[0055] The technical solution provided by the present invention has the following beneficial effects:

[0056] The technical solution provided by the present invention obtains the load forecast value of the power grid and the forecast power of the new energy unit; brings the load forecast value of the power grid and the forecast power of the new energy unit into a pre-built optimization model for calculation to obtain the output power of each unit; formulates the day-ahead plan of the power grid based on the output power of each unit; the units in the present invention include: gas units, thermal power units and new energy units; the optimization model is based on the load forecast value of the gas unit in various application modes, the power grid frequency regulation standby demand, the power grid accident standby demand and the forecast power of the new energy unit as constraints and is constructed with the goal of minimizing the operating cost of each unit and the abandoned power of the new energy unit; the present invention applies the gas unit to the electric energy market, the frequency regulation market and the standby mode, gives full play to the role of the gas unit in participating in the power grid dispatching, comprehensively considers environmental protection and economic factors, improves the regulation level and utilization efficiency of the gas unit in various modes, improves the wind power consumption level, and better guarantees the safe, stable and economic operation of the power grid.

[0057] The technical solution provided by the present invention can further bring into play the value of the gas-fired units, save the frequency regulation and standby costs of the power grid, and improve the intelligence level of the gas-fired units in participating in the day-ahead power grid dispatching and operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 The present invention is a flow chart of a method for formulating a day-ahead plan taking into account a gas generator set. DETAILED DESCRIPTION

[0059] In order to better understand the present invention, the content of the present invention is further described below in conjunction with the accompanying drawings and examples.

[0060] like Figure 1 As shown, the present invention provides a method for formulating a day-ahead plan considering a gas generator set, which is characterized by comprising:

[0061] S1 obtains the load forecast value of the power grid and the forecast power of the new energy unit;

[0062] S2 brings the load forecast value of the power grid and the forecast power of the new energy unit into the pre-built optimization model for calculation to obtain the output power of each unit;

[0063] S3 formulates the day-ahead plan of the power grid based on the output power of each unit;

[0064] Among them, the units include: gas units, thermal power units and new energy units; the optimization model is based on the load forecast value of the gas units in various application modes, the power grid frequency regulation standby demand, the power grid accident standby demand and the predicted power of the new energy units as constraints and is constructed with the goal of minimizing the operating cost of each unit and the abandoned power of the new energy units; the application modes include: application to the electricity market, frequency regulation market and standby mode.

[0065] Based on the current situation of the power grid improving the environmental protection of gas-fired units, the present invention takes into account the good frequency regulation and response characteristics of gas-fired units, proposes a day-ahead planning model for gas-fired units with the goal of optimizing economic efficiency, taking into account the consumption of new energy, power constraints of gas-fired units, and charging and discharging efficiency constraints, so as to enhance the role and value of gas-fired units in participating in power grid dispatching.

[0066] In S2, the construction of the optimization model includes:

[0067] The optimization goal is to minimize the operating cost of each unit and the abandoned power of the new energy units within the planning period;

[0068] Constraints are established based on the load forecast values ​​of gas units under various application modes, grid frequency regulation reserve requirements, grid accident reserve requirements, and predicted power of new energy units;

[0069] The constraints include: load balance constraints, peak load regulation constraints, grid frequency regulation and standby constraints, grid accident standby constraints, performance constraints of each unit, network flow constraints and reserved capacity constraints.

[0070] The optimization objective is as follows:

[0071]

[0072] Where F is the operating cost of the unit and the abandoned power of the new energy unit during the planning period, T is the total time period in the planning period, N is the total number of thermal power units, and p is i,t is the power generation of thermal power unit i in period t, F(p i,t ) is the operating cost of thermal power unit i in period t, G(p s,t ) is the operating cost of gas unit s in period t, p s,t is the power generation of gas unit s in period t, ε is the penalty factor for the amount of power abandoned by renewable energy, ΔP w,t is the amount of power abandoned by the new energy unit w in period t.

[0073] The constraints are: (1) System load balance constraint

[0074]

[0075] In formula (2): P d,t is the load forecast value of the power grid at time t, p s,t is the power generation of gas unit s in time period t, N is the total number of thermal power units, p i,t is the power generation of thermal power unit i in period t, P w,t is the predicted power of the new energy unit w in time period t;

[0076] (2) Peak load constraints

[0077] At the peak load stage, the gas unit is in the startup state:

[0078] u s,t =1if(p d,t =p d,max ) (3)

[0079] In formula (3), u s,t is the state of gas generator set s in period t, p d,max It is the maximum value of the grid load on that day.

[0080] (3) Power grid frequency regulation and reserve constraints

[0081] For power grids with a high proportion of renewable energy, coal-fired units need to provide AGC services not only for loads, but also for fluctuations in renewable energy output. In power grids with a high proportion of renewable energy and a large peak load regulation depth of coal-fired units, coal-fired units may not be able to operate stably within the AGC operation range. At this time, gas-fired units can be used to participate in frequency regulation services.

[0082] The grid frequency regulation reserve constraint is as follows:

[0083]

[0084] In formula (4): p i,max is the maximum output of thermal power unit i, p i,min is the minimum output of thermal power unit i, N is the total number of thermal power units, R u,t is the upper frequency regulation reserve demand of the power grid load in time period t, R d,t is the frequency regulation reserve demand of the power grid load in time period t, ξ is the frequency regulation reserve coefficient required by the output of new energy, and p sf,t Frequency regulation reserve provided for gas units during time period t.

[0085] The power grid frequency regulation standby demand includes an upper frequency regulation standby demand and a lower frequency regulation standby demand.

[0086] (4) Power grid accident reserve constraints

[0087] The reserve demand considered in this article refers to the active power reserve reserved by the power system to ensure the power quality and safe and stable operation of the system in the event of an accident, in addition to meeting the expected load demand. The reserve capacity can be called at any time, and the output load is adjustable. Generally speaking, the reserve capacity in the power system should be equal to 5-10% of the normal power supply capacity of the system.

[0088] Gas power plants have a fast start and stop speed, so they can provide backup auxiliary services and must be available at any time, but the probability of being called is not high. At the same time, gas units do not need to be kept running all the time, they only need to be able to be called immediately to provide services when needed.

[0089]

[0090] In formula (5), p sb,t is the emergency reserve provided by the gas unit in period t, N is the total number of thermal power units, p i,bmax The emergency reserve provided by thermal power unit i during period t, P w,t is the predicted power of the new energy unit w in period t; P d,t is the load forecast value of the power grid at time t, R b,t To provide emergency backup for the power grid.

[0091] (5) The performance constraints of thermal power and gas-fired units, including the output limit constraints of each unit and the unit climbing constraints, are shown in the following formula:

[0092]

[0093] In formula (6), P a,min is the minimum output of unit a, p a,t is the power generation of unit a in period t, P a,max is the maximum output of unit a, p a,t-1 is the power generation of unit a in period t-1, P a,up is the climbing limit of unit a, P a,down is the down-climbing limit of unit a, where unit a includes gas units and thermal power units.

[0094] (6) Network flow constraints, including flow balance constraints and branch limit constraints:

[0095] -f br,max ≤f br,t ≤f br,max (7)

[0096] In formula (7), f br,t is the active power flow of branch br in period t, f br,max is the maximum value of the active power flow of branch br, satisfying the branch power constraint.

[0097] In order to ensure that the system can be linearized, the power flow constraints are usually linearized, that is, the DC power flow is used to build an optimization model:

[0098]

[0099] In formula (8), θ is a column vector, which represents the active power phase angle of each node, p is the active power injected into each node, X is the node impedance matrix of the network, and f k,j is the active power flow of the branch between node k and node j, x k,j is the reactance value of the branch between node k and node j, θ k is the active power phase angle of node k, θ j is the active power phase angle of node j.

[0100] (7) Gas-fired units need to reserve capacity for frequency regulation and standby:

[0101] The frequency modulation reserved capacity constraint is as shown in the following formula:

[0102] p s,t +p sf,t +p sb,t ≤p s,max (9)

[0103] In formula (9), p s,t is the power generation of gas generator set s in period t, p sf,t The frequency regulation reserve provided by the gas unit in time period t, p sb,t The emergency backup provided by the gas unit during period t, P s,max is the upper limit of the power of gas generator set s;

[0104] The reserve capacity constraint is as follows:

[0105] p s,t -p sf,t ≥p s,min (10)

[0106] In formula (10), p s,min It is the minimum technical output of gas generator set.

[0107] In the present invention, mixed integer programming or artificial intelligence algorithm is used to solve the optimization model to obtain the output power of each unit.

[0108] The present invention is based on the economy of calling on gas-fired units, applies the remaining capacity of gas-fired units to frequency regulation and standby, gives full play to the role of gas-fired units in grid dispatching, comprehensively considers environmental protection and economic factors, improves the regulation level and utilization efficiency of gas-fired units in various modes, improves the level of wind power consumption, and better ensures the safe, stable and economical operation of the grid.

[0109] Based on the same inventive concept, the present invention also provides a day-ahead planning system considering gas generator sets, comprising:

[0110] An acquisition module is used to obtain the load forecast value of the power grid and the predicted power of the new energy unit;

[0111] A calculation module is used to bring the load forecast value of the power grid and the forecast power of the new energy unit into a pre-built optimization model for calculation to obtain the output power of each unit;

[0112] A planning module is used to formulate a day-ahead plan for the power grid based on the output power of each unit;

[0113] Among them, the units include: gas units, thermal power units and new energy units; the optimization model is based on the load forecast value of the gas units in various application modes, the power grid frequency regulation standby demand, the power grid accident standby demand and the predicted power of the new energy units as constraints and is constructed with the goal of minimizing the operating cost of each unit and the abandoned power of the new energy units; the application modes include: application to the electricity market, frequency regulation market and standby mode.

[0114] In an embodiment, the computing module comprises:

[0115] Construct an objective function unit to construct an optimization target based on the minimum operating cost of each unit and the abandoned power of the new energy unit within the planning period;

[0116] A constraint condition unit is constructed to construct constraint conditions based on the load forecast value of the gas unit in various application modes, the grid frequency regulation reserve demand, the grid accident reserve demand and the predicted power of the new energy unit;

[0117] The constraints include: load balance constraints, peak load regulation constraints, grid frequency regulation and standby constraints, grid accident standby constraints, performance constraints of each unit, network flow constraints and reserved capacity constraints.

[0118] In the embodiment, the optimization target is as shown in the following formula:

[0119]

[0120] Where F is the operating cost of the unit and the abandoned power of the new energy unit during the planning period, T is the total time period in the planning period, N is the total number of thermal power units, and p is i,t is the power generation of thermal power unit i in period t, F(p i,t ) is the operating cost of thermal power unit i in period t, G(p s,t ) is the operating cost of gas unit s in period t, p s,t is the power generation of gas unit s in period t, ε is the penalty factor for the amount of power abandoned by renewable energy, ΔP w,t is the amount of power abandoned by the new energy unit w in period t.

[0121] In the embodiment, the load balancing constraint is as shown in the following formula:

[0122]

[0123] Where: P d,t is the load forecast value of the power grid at time t, p s,t is the power generation of gas unit s in time period t, N is the total number of thermal power units, p i,t is the power generation of thermal power unit i in period t, P w,t is the predicted power of the new energy unit w in time period t;

[0124] The peak load constraint is as follows:

[0125] u s,t =1if(p d,t =p d,max )

[0126] In the formula, u s,t is the state of gas generator set s in period t, p d,max is the maximum value of the grid load on that day;

[0127] The grid frequency regulation reserve constraint is as shown in the following formula:

[0128]

[0129] Where: p i,max is the maximum output of thermal power unit i, p i,min is the minimum output of thermal power unit i, N is the total number of thermal power units, R u,t is the upper frequency regulation reserve demand of the power grid load in time period t, R d,t is the frequency regulation reserve demand of the power grid load in time period t, ξ is the frequency regulation reserve coefficient required by the output of new energy, and p sf,t Frequency regulation reserve provided for gas units during time period t.

[0130] In the embodiment, the grid accident reserve constraint is as shown in the following formula:

[0131]

[0132] In the formula, p sb,t is the emergency reserve provided by the gas unit in period t, N is the total number of thermal power units, p i,bmax The emergency reserve provided by thermal power unit i during period t, P w,t is the predicted power of the new energy unit w in period t; P d,t is the load forecast value of the power grid at time t, R b,t To provide emergency backup for the power grid.

[0133] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0134] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0135] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0136] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0137] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are included in the scope of the claims of the present invention to be approved.

Claims

1. A method for making a day-ahead plan considering a gas generator set, characterized in that: include: Obtain the load forecast value of the power grid and the predicted power of the new energy units; The load forecast value of the power grid and the forecast power of the new energy unit are brought into the pre-built optimization model for calculation to obtain the output power of each unit; Formulate day-ahead plans for the power grid based on the output power of each unit; The units include: gas units, thermal power units and new energy units; the optimization model is based on the load forecast value of the gas units in various application modes, the grid frequency regulation standby demand, the grid accident standby demand and the predicted power of the new energy units as constraints and is constructed with the goal of minimizing the operating cost of each unit and the abandoned power of the new energy units; the application modes include: application to the electric energy market, frequency regulation market and standby mode; The construction of the optimization model includes: The optimization goal is to minimize the operating cost of each unit and the abandoned power of the new energy units within the planning period; Constraints are established based on the load forecast values ​​of gas units under various application modes, grid frequency regulation reserve requirements, grid accident reserve requirements, and predicted power of new energy units; The constraints include: load balance constraints, peak load constraints, grid frequency regulation and standby constraints, grid accident standby constraints, unit performance constraints, network flow constraints and reserved capacity constraints; The optimization objective is as follows: Where F is the operating cost of the unit and the abandoned power of the new energy unit during the planning period, T is the total time period in the planning period, N is the total number of thermal power units, and p is i,t is the power generation of thermal power unit i in period t, F(p i,t ) is the operating cost of thermal power unit i in period t, G(p s,t ) is the operating cost of gas unit s in period t, p s,t is the power generation of gas unit s in period t, ε is the penalty factor for the amount of power abandoned by renewable energy, ΔP w,t is the amount of power abandoned by the new energy unit w in period t; The peak load constraint is as follows: u s,t =1if(p d,t =p d,max ) In the formula, u s,t is the state of gas generator set s in period t, p d,max The maximum value of the grid load on that day; The grid frequency regulation reserve constraint is as shown in the following formula: Where: p i,max is the maximum output of thermal power unit i, p i,min is the minimum output of thermal power unit i, N is the total number of thermal power units, R u,t is the upper frequency regulation reserve demand of the power grid load in time period t, R d,t is the frequency regulation reserve demand of the power grid load in time period t, ξ is the frequency regulation reserve coefficient required by the output of new energy, and p sf,t The frequency regulation reserve provided by the gas unit in time period t, P d,t is the load forecast value of the power grid at time t.

2. The method according to claim 1, characterized in that The load balancing constraint is as follows: Where: P d,t is the load forecast value of the power grid at time t, p s,t is the power generation of gas unit s in time period t, N is the total number of thermal power units, p i,t is the power generation of thermal power unit i in period t, P w,t is the predicted power of the new energy unit w in time period t.

3. The method according to claim 1, characterized in that The grid accident reserve constraint is as follows: In the formula, p sb,t is the emergency reserve provided by the gas unit in period t, N is the total number of thermal power units, p i,bmax The emergency reserve provided by thermal power unit i during period t, P w,t is the predicted power of the new energy unit w in period t; P d,t is the load forecast value of the power grid at time t, R b,t To provide emergency backup for the power grid.

4. The method according to claim 1, characterized in that The performance constraints of each unit include unit output limit constraints and unit climbing constraints; Where P a,min is the minimum output of unit a, p a,t is the power generation of unit a in period t, P a,max is the maximum output of unit a, p a,t-1 is the power generation of unit a in period t-1, P a,up is the climbing limit of unit a, P a,down is the down-climbing limit of unit a, where unit a includes gas units and thermal power units.

5. The method according to claim 4, characterized in that The network power flow constraints include power flow balance constraints and branch limit constraints; The power flow balance constraint is shown in the following formula: -f br,max ≤f br,t ≤f br,max In the formula, f br,t is the active power flow of branch br in period t, f br,max is the maximum value of active power flow of branch br; The branch limit constraint is as shown in the following formula: Where θ is a column vector, representing the active power phase angle of each node, p is the active power injected into each node, X is the node impedance matrix of the network, and f k,j is the active power flow of the branch between node k and node j, x k,j is the reactance value of the branch between node k and node j, θ k is the active power phase angle of node k, θ j is the active power phase angle of node j.

6. The method according to claim 4, characterized in that The reserved capacity constraints include frequency modulation reserved capacity constraints and standby reserved capacity constraints; The frequency modulation reserved capacity constraint is as shown in the following formula: p s,t +p sf,t +p sb,t ≤p s,max In the formula, p s,t is the power generation of gas generator set s in period t, p sf,t The frequency regulation reserve provided by the gas unit in time period t, p sb,t The emergency backup provided by the gas unit during period t, P s,max is the upper limit of the power of gas generator set s; The reserve capacity constraint is as follows: p s,t -p sf,t ≥p s,min In the formula, p s,min It is the minimum technical output of gas generator set.

7. The method according to claim 1, characterized in that The load forecast value of the power grid and the forecast power of the new energy unit are brought into the pre-built optimization model for calculation to obtain the output power of each unit, including: The mixed integer programming or artificial intelligence algorithm is used to solve the optimization model and obtain the output power of each unit.

8. A system for using the method for making a day-ahead plan considering a gas unit as claimed in claim 1, characterized in that: include: An acquisition module is used to obtain the load forecast value of the power grid and the predicted power of the new energy unit; A calculation module is used to bring the load forecast value of the power grid and the forecast power of the new energy unit into a pre-built optimization model for calculation to obtain the output power of each unit; A planning module is used to formulate a day-ahead plan for the power grid based on the output power of each unit; Among them, the units include: gas units, thermal power units and new energy units; the optimization model is based on the load forecast value of the gas units in various application modes, the power grid frequency regulation standby demand, the power grid accident standby demand and the predicted power of the new energy units as constraints and is constructed with the goal of minimizing the operating cost of each unit and the abandoned power of the new energy units; the application modes include: application to the electricity market, frequency regulation market and standby mode.

9. The system according to claim 8, characterized in that The computing module comprises: Construct an objective function unit to construct an optimization target based on the minimum operating cost of each unit and the abandoned power of the new energy unit within the planning period; A constraint condition unit is constructed to construct constraint conditions based on the load forecast value of the gas unit in various application modes, the grid frequency regulation reserve demand, the grid accident reserve demand and the predicted power of the new energy unit; The constraints include: load balance constraints, peak load regulation constraints, grid frequency regulation and standby constraints, grid accident standby constraints, performance constraints of each unit, network flow constraints and reserved capacity constraints.

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