Optimized scheduling method for promoting new energy consumption of pneumoelectric energy system

Abstract

The invention discloses an optimal scheduling method for promoting new energy consumption of a gas-electric energy system, and belongs to the technical field of combined scheduling of a power system and a natural gas system. The objective of the invention is to solve the problem that the existing new energy consumption capability is low. The method comprises the following steps: step 1, establishing a gas-electricity combined system optimization scheduling model with the goal of minimizing the total fire coal cost and the total fuel gas cost; and step 2, establishing an electric power system operation constraint, a natural gas system operation constraint, a gas unit operation constraint and a power-to-gas device operation constraint, and adjusting the gas-electricity combined system optimization scheduling model through all the established constraints, so that a photovoltaic power station and a wind power station in the model completely output power, and scheduling of the new energy consumption capability is realized. The method is used for absorbing new energy.

Description

Technical Field

[0001] The invention relates to the technical field of joint dispatching of electric power systems and natural gas systems. Background Art

[0002] With the rapid development of the national economy, my country's electricity demand has been rising year by year. The excessive consumption of fossil fuels, mainly coal, has made them face the problem of exhaustion. Against this background, my country has vigorously developed new clean energy, and the grid-connected scale and installed capacity of new energy power generation such as wind power and photovoltaic power generation have increased year by year; at the same time, with the maturity of gas-fired generators, the coupling between the power system and the natural gas system has become closer. Therefore, the existing joint power generation using gas units, thermal power units, thermal power units, photovoltaic power stations and wind farms, but the joint power generation mainly relies on gas units, thermal power units, and thermal power units for power generation, which squeezes out the power supply space of new energy (wind power and photovoltaic power), resulting in the inability of wind power and photovoltaic power to fully output, resulting in serious problems of wind abandonment and light abandonment, resulting in waste of wind power and photovoltaic energy, while gas units, thermal power units and thermal power units consume a lot. Therefore, the low absorption capacity of existing new energy is a problem that needs to be solved urgently. Summary of the invention

[0003] The purpose of the present invention is to solve the problem of low existing new energy consumption capacity and propose an optimization scheduling method for promoting new energy consumption in gas-electric energy systems.

[0004] An optimization scheduling method for promoting the consumption of new energy in a gas-electric energy system, the method comprising the following contents:

[0005] Step 1: Establish an optimal dispatching model for the gas-electricity combined system with the goal of minimizing the total coal cost and the total gas cost;

[0006] Step 2: Establish power system operation constraints, natural gas system operation constraints, gas unit operation constraints and power-to-gas device operation constraints, and adjust the gas-electricity combined system optimization scheduling model through all the established constraints, so that the photovoltaic power station and wind farm in the model can fully output and realize the scheduling of new energy absorption capacity.

[0007] Preferably, in step 1, the optimization dispatch model of the gas-electricity combined system with the goal of minimizing the total coal cost and the total gas cost is expressed as:

[0008]

[0009] In the formula, the first character t of each variable subscript represents the tth dispatch period, T is the total number of periods; C is the total system cost; R and H are the number of gas power plants and thermal power plants respectively; N r 、N h are the number of gas generating units in the rth gas-fired power plant and the number of thermal generating units in the hth thermal power plant respectively; Nwind is the number of wind farms in the system, N ph is the number of photovoltaic power stations in the system, are the coal consumption of the i-th thermal power unit of the r-th gas-fired power plant and the i-th thermal power unit of the h-th thermal power plant at time t; C1, C2, C3, and C4 are the natural gas price, coal price, wind abandonment penalty cost coefficient, and solar abandonment penalty cost coefficient respectively; They are respectively the predicted power of the i-th wind farm at time t and the power that can be generated by the i-th wind farm; They are the predicted power of the i-th photovoltaic power station at time t and the available power of the i-th photovoltaic power station;

[0010] Among them, the coal consumption of the i-th thermal power unit of the r-th gas-fired power plant at time t is It is expressed as:

[0011]

[0012] In the formula, δ0~δ5 are the fitting parameters of the consumption characteristics of the gas unit; is the amount of natural gas consumed by the i-th gas generating unit of the r-th gas-fired power plant at time t, is the power generated by the i-th gas-fired unit of the r-th gas-fired power plant at time t;

[0013] Coal consumption of the i-th thermal power unit of the r-th gas-fired power plant and the i-th thermal power unit of the h-th thermal power plant at time t It is expressed as:

[0014]

[0015] In the formula, a0, a1, and a2 are all fitting parameters of the consumption characteristics of thermal power units; is the electric power of the i-th thermal power unit in the h-th thermal power plant at time t.

[0016] Preferably, in step 2, the power system operation constraints include active power balance constraints, thermal power unit output constraints and gas unit output constraints.

[0017] Preferably, the active power balance constraint is:

[0018]

[0019] In the formula, is the electric power of the i-th gas-fired unit in the r-th gas-fired power plant; is the electric power of the i-th thermal power unit in the h-th thermal power plant; is the electric load power of the nth load node; N is the number of electric load nodes; N P2G Indicates the number of power-to-gas devices in the system, represents the electrical power of the i-th power-to-gas device, represents the power output of the i-th wind farm, Represents the power output of the i-th photovoltaic power station.

[0020] Preferably, the output constraint of the thermal power unit is:

[0021]

[0022] In the formula, are the upper and lower limits of the electric power of the i-th thermal power unit in the h-th thermal power plant.

[0023] Preferably, the gas unit output constraints include natural gas flow balance constraints, gas unit output constraints and power-to-gas device constraints.

[0024] Preferably, the natural gas flow balance constraint is:

[0025]

[0026] In the formula, is the amount of natural gas consumed by the i-th gas generating unit in the r-th gas-fired power plant, is the natural gas system load demand, Purchase quantity for natural gas system users.

[0027] Preferably, the gas unit output constraint is:

[0028]

[0029] In the formula, The upper and lower limits of the electric power of the i-th gas-fired unit in the r-th gas-fired power plant; The upper and lower limits of natural gas consumption of the i-th gas generating unit in the r-th gas-fired power plant; α, β, and δ are fitting coefficients.

[0030] Preferably, the power-to-gas device is constrained to:

[0031]

[0032] In the formula, Indicates the upper limit of the input power of the power-to-gas device.

[0033] The beneficial effects of the present invention are:

[0034] The present invention fully considers the operating characteristics of thermal power units and gas units, formulates power system operating constraints, natural gas system operating constraints, gas unit operating constraints and power-to-gas device operating constraints to constrain the output of gas units, thermal power units and thermal power units, and fully promotes the consumption of new energy through the scheduling model to improve the economy of the operation of the combined electric and thermal system. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 The present invention is a flow chart of an optimization scheduling method for promoting the consumption of new energy in gas-fired power energy systems. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0038] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but they are not intended to limit the present invention.

[0039] Example:

[0040] Combination Figure 1 This embodiment is described as an optimization scheduling method for promoting the consumption of new energy in a gas-electric energy system. The method includes the following contents:

[0041] Step 1: Establish an optimal dispatching model for the gas-electricity combined system with the goal of minimizing the total coal cost and the total gas cost;

[0042] Step 2: Establish power system operation constraints, natural gas system operation constraints, gas unit operation constraints and power-to-gas device operation constraints, and adjust the gas-electricity combined system optimization scheduling model through all the established constraints, so that the photovoltaic power station and wind farm in the model can fully output and realize the scheduling of new energy absorption capacity.

[0043] Specifically, this embodiment discloses a gas-electricity joint scheduling method that comprehensively considers traditional thermal power units, gas units, and power-to-gas devices, which is applicable to the field of gas-electricity joint system optimization scheduling. A gas-electricity joint system optimization scheduling model that considers power system constraints, natural gas system constraints, gas unit constraints, and power-to-gas device constraints is established. The model is a mixed integer nonlinear programming model, and its solution can obtain the output of thermal power units, gas units, and power-to-gas devices in each scheduling period. Thereby achieving full output of photovoltaic power stations and wind farms.

[0044] The model formula is introduced below: In step 1, the optimal dispatch model of the gas-electricity combined system with the goal of minimizing the total coal cost and the total gas cost is expressed as:

[0045]

[0046] Formula 1,

[0047] In the formula, the first character t of each variable subscript represents the tth dispatch period, T is the total number of periods; C is the total system cost; R and H are the number of gas power plants and thermal power plants respectively; N r 、N h are the number of gas generating units in the rth gas-fired power plant and the number of thermal generating units in the hth thermal power plant respectively; N wind is the number of wind farms in the system, N ph is the number of photovoltaic power stations in the system, are the coal consumption of the i-th thermal power unit of the r-th gas-fired power plant and the i-th thermal power unit of the h-th thermal power plant at time t; C1, C2, C3, and C4 are the natural gas price, coal price, wind abandonment penalty cost coefficient, and solar abandonment penalty cost coefficient respectively; They are respectively the predicted power of the i-th wind farm at time t and the power that can be generated by the i-th wind farm; They are the predicted power of the i-th photovoltaic power station at time t and the available power of the i-th photovoltaic power station;

[0048] Among them, the coal consumption of the i-th thermal power unit of the r-th gas-fired power plant at time t is It is expressed as:

[0049]

[0050] In the formula, δ0~δ5 are the fitting parameters of the consumption characteristics of the gas unit; is the amount of natural gas consumed by the i-th gas generating unit of the r-th gas-fired power plant at time t, is the power generated by the i-th gas-fired unit of the r-th gas-fired power plant at time t;

[0051] Coal consumption of the i-th thermal power unit of the r-th gas-fired power plant and the i-th thermal power unit of the h-th thermal power plant at time t It is expressed as:

[0052]

[0053] In the formula, a0, a1, and a2 are all fitting parameters of the consumption characteristics of thermal power units; is the electric power of the i-th thermal power unit in the h-th thermal power plant at time t.

[0054] The composition of the power system operation constraints is introduced below: In step 2, the power system operation constraints include active power balance constraints, thermal power unit output constraints and gas unit output constraints.

[0055] The active power balance constraints are introduced below:

[0056]

[0057] In the formula, is the electric power of the i-th gas-fired unit in the r-th gas-fired power plant; is the electric power of the i-th thermal power unit in the h-th thermal power plant; is the electric load power of the nth load node; N is the number of electric load nodes; N P2G Indicates the number of power-to-gas devices in the system, represents the electrical power of the i-th power-to-gas device, represents the power output of the i-th wind farm, Represents the power output of the i-th photovoltaic power station.

[0058] The output constraints of thermal power units are introduced as follows:

[0059]

[0060] In the formula, are the upper and lower limits of the electric power of the i-th thermal power unit in the h-th thermal power plant.

[0061] The following introduces the gas unit output constraints, including natural gas flow balance constraints, gas unit output constraints and power-to-gas device constraints.

[0062] The natural gas flow balance constraints are introduced below:

[0063]

[0064] In the formula, is the amount of natural gas consumed by the i-th gas generating unit in the r-th gas-fired power plant, is the natural gas system load demand, Purchase quantity for natural gas system users.

[0065] The output constraints of the gas generator set are as follows:

[0066]

[0067] In the formula, The upper and lower limits of the electric power of the i-th gas-fired unit in the r-th gas-fired power plant; The upper and lower limits of natural gas consumption of the i-th gas generating unit in the r-th gas-fired power plant; α, β, and δ are fitting coefficients.

[0068] The constraints of the power-to-gas device are as follows:

[0069]

[0070] In the formula, Indicates the upper limit of the input power of the power-to-gas device.

[0071] Specifically, the P2G device is subject to the upper and lower limits of its input power during operation, as expressed in Formula 8.

[0072] Although the present invention is described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. It should therefore be understood that many modifications may be made to the exemplary embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the various dependent claims and features described herein may be combined in a manner different from that described in the original claims. It should also be understood that features described in conjunction with individual embodiments may be used in other described embodiments.

Claims

1. An optimization scheduling method for promoting the consumption of new energy in a gas-electric energy system, characterized in that: The method comprises the following: Step 1: Establish an optimal dispatching model for the gas-electricity combined system with the goal of minimizing the total coal cost and the total gas cost; Step 2: Establish power system operation constraints, natural gas system operation constraints, gas unit operation constraints and power-to-gas device operation constraints, and adjust the gas-electricity combined system optimization scheduling model through all the established constraints, so that the photovoltaic power station and wind farm in the model can fully output and realize the scheduling of new energy absorption capacity.

2. The optimization scheduling method for promoting the consumption of new energy in gas-electric energy system according to claim 1 is characterized in that: In step 1, the optimal dispatch model of the gas-electricity combined system with the goal of minimizing the total coal cost and the total gas cost is expressed as: Formula 1, In the formula, the first character t of each variable subscript represents the tth dispatch period, T is the total number of periods; C is the total system cost; R and H are the number of gas power plants and thermal power plants respectively; N r 、N h are the number of gas generating units in the rth gas-fired power plant and the number of thermal generating units in the hth thermal power plant respectively; N wind is the number of wind farms in the system, N ph is the number of photovoltaic power stations in the system, are the coal consumption of the i-th thermal power unit of the r-th gas-fired power plant and the i-th thermal power unit of the h-th thermal power plant at time t; C1, C2, C3, and C4 are the natural gas price, coal price, wind abandonment penalty cost coefficient, and solar abandonment penalty cost coefficient respectively; They are respectively the predicted power of the i-th wind farm at time t and the power that can be generated by the i-th wind farm; They are the predicted power of the i-th photovoltaic power station at time t and the available power of the i-th photovoltaic power station; Among them, the coal consumption of the i-th thermal power unit of the r-th gas-fired power plant at time t is It is expressed as: In the formula, δ0~δ5 are the fitting parameters of the consumption characteristics of the gas unit; is the amount of natural gas consumed by the i-th gas generating unit of the r-th gas-fired power plant at time t, is the power generated by the i-th gas-fired unit of the r-th gas-fired power plant at time t; Coal consumption of the i-th thermal power unit of the r-th gas-fired power plant and the i-th thermal power unit of the h-th thermal power plant at time t It is expressed as: In the formula, a0, a1, and a2 are all fitting parameters of the consumption characteristics of thermal power units; is the electric power of the i-th thermal power unit in the h-th thermal power plant at time t.

3. The optimization scheduling method for promoting the consumption of new energy in gas-electric energy system according to claim 2 is characterized in that: In step 2, the power system operation constraints include active power balance constraints, thermal power unit output constraints, and gas unit output constraints.

4. The optimization scheduling method for promoting the consumption of new energy in gas-electric energy system according to claim 3 is characterized in that: The active power balance constraint is: In the formula, is the electric power of the i-th gas-fired unit in the r-th gas-fired power plant; is the electric power of the i-th thermal power unit in the h-th thermal power plant; is the electric load power of the nth load node; N is the number of electrical load nodes; P2G Indicates the number of power-to-gas devices in the system, represents the electrical power of the i-th power-to-gas device, represents the power output of the i-th wind farm, Represents the power output of the i-th photovoltaic power station.

5. The optimization scheduling method for promoting the consumption of new energy in gas-electric energy system according to claim 4 is characterized in that: The output constraints of thermal power units are: In the formula, are the upper and lower limits of the electric power of the i-th thermal power unit in the h-th thermal power plant.

6. The optimization scheduling method for promoting the consumption of new energy in gas-electric energy system according to claim 3 is characterized in that: The output constraints of gas generator sets include natural gas flow balance constraints, gas generator set output constraints and power-to-gas device constraints.

7. The optimization scheduling method for promoting the consumption of new energy in gas-electric energy system according to claim 6 is characterized in that: The natural gas flow balance constraint is: In the formula, is the amount of natural gas consumed by the i-th gas generating unit in the r-th gas-fired power plant, is the natural gas system load demand, Purchase quantity for natural gas system users.

8. The optimization scheduling method for promoting the consumption of new energy in gas-electric energy system according to claim 7 is characterized in that: The output constraint of the gas unit is: In the formula, The upper and lower limits of the electric power of the i-th gas-fired unit in the r-th gas-fired power plant; The upper and lower limits of natural gas consumption of the i-th gas generating unit in the r-th gas-fired power plant; α, β, and δ are fitting coefficients.

9. The optimization scheduling method for promoting the consumption of new energy in gas-electric energy system according to claim 4 is characterized in that: The constraints of the power-to-gas device are: In the formula, Indicates the upper limit of the input power of the power-to-gas device.

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