Regional comprehensive energy scheduling optimization method and system based on cchp cold storage operation

Abstract

The application discloses a regional comprehensive energy scheduling optimization method and system based on CCHP cold storage operation, and comprises the following steps: constructing an energy scheduling optimization model; the energy scheduling optimization model comprises a first optimization model and a second optimization model; adjusting the parameter values in the energy scheduling optimization model, so that the energy scheduling optimization model obtains a minimum value; setting the parameters obtained when the minimum value is obtained as optimization parameters; and scheduling and optimizing the regional comprehensive energy by using the optimization parameters, so that the annual heat extraction and discharge of soil reaches balance, and the CCHP power supply capacity during the summer power consumption peak is improved. The application can realize the annual heat extraction and discharge balance of soil, and improve the CCHP power supply capacity during the summer power consumption peak.

Description

Technical Field

[0001] This invention relates to the field of regional integrated energy, specifically to a regional integrated energy dispatch optimization method and system based on CCHP cold storage operation. Background Technology

[0002] Promoting the green and efficient transformation of the traditional energy system is an important means to achieve the dual-carbon strategy goals. Regional integrated energy systems (RIES) effectively improve energy efficiency and reduce pollution emissions by developing clean energy sources such as wind, solar, and geothermal energy according to local conditions and integrating and coupling traditionally independent electricity, heat, and gas supply networks. Combined cooling, heating, and power (CCHP) is a new type of unit that achieves cascaded energy utilization. Gas turbine generators use natural gas to generate electricity, and the waste heat from power generation is used in a waste heat recovery system for heating and cooling, thereby effectively improving the overall energy utilization efficiency. Ground source heat pumps (GSHP) are a new energy utilization technology that utilizes resources such as soil and groundwater to transfer heat, thereby achieving heating and cooling.

[0003] Southern my country has both cooling and heating needs, with longer cooling periods in summer and shorter heating periods in winter. This results in the GSHP unit releasing more heat into the soil in summer than it extracts in winter, causing an imbalance in soil heat release and extraction, leading to soil "heat accumulation." Furthermore, due to the "cooling-driven power generation" operation mode of the CCHP in summer, the gas turbine's power generation at any given time depends on the cooling load. This means that during periods of high electrical load and low cooling load, the gas turbine cannot autonomously maximize its output, resulting in a power supply deficit in the RIES system. This deficit is supplemented by power supply from the main grid to the RIES, leading to higher power consumption in the RIES system during peak hours. This also exacerbates the peak-shaving pressure on the main grid during these periods, and the resulting increase in soil temperature can cause a decline in GSHP operating performance.

[0004] Therefore, to solve the above problems, a regional integrated energy dispatch optimization method and system based on CCHP cold storage operation is needed, which can achieve the annual soil heat release balance while improving the CCHP power supply capacity during the summer peak electricity consumption period. Summary of the Invention

[0005] In view of this, the purpose of this invention is to overcome the defects in the prior art and provide a regional integrated energy dispatch optimization method and system based on CCHP cold storage operation, which can achieve the annual soil heat release balance while improving the CCHP power supply capacity during the summer peak electricity consumption period.

[0006] The regional integrated energy dispatch optimization method based on CCHP cold storage operation of the present invention includes the following steps:

[0007] S1. During peak electricity consumption periods, increase the power output of the gas turbine to increase the cooling capacity of the CCHP, and use the additional cooling capacity for soil cooling storage.

[0008] Furthermore, step S1 specifically includes:

[0009] Construct an energy dispatch optimization model; the energy dispatch optimization model includes a first optimization model and a second optimization model;

[0010] Adjust the values ​​of each parameter in the energy dispatch optimization model to achieve the minimum value. Use the parameters set when the minimum value is achieved as optimization parameters. Utilize the optimization parameters to optimize the regional integrated energy dispatch, so that the annual heat release from the soil reaches a balance and the power supply capacity of CCHP during the summer peak electricity consumption period is improved.

[0011] Furthermore, the first optimization model includes a first objective function that minimizes the regional integrated energy system operating consumption on a typical winter day and a first constraint condition that constrains the first objective function;

[0012] The first constraint includes a first energy balance constraint, a first unit operation constraint, a first power transmission constraint, a first energy storage operation constraint, and a first power flow constraint.

[0013] Furthermore, the first objective function is:

[0014]

[0015] Among them, C cs C represents the total consumption of the regional integrated energy system within the scheduling cycle T; fu (t), C om (t), C ep (t), C en (t) represents the fuel consumption, operation and maintenance consumption, electricity consumption, and environmental consumption of the regional integrated energy system during time period t; C es (t) represents the power supply resources obtained by the regional integrated energy system during time period t;

[0016] C fu (t)=P GT (t)C gas / (η GT H gas );

[0017]

[0018] Cep (t)=P ep (t)D ep (t);

[0019]

[0020] C es (t)=P es (t)D es (t);

[0021] Among them, P GT (t) represents the gas turbine's gas-to-electric conversion power during time period t, C gas For natural gas purchase unit consumption, η GT For the gas-to-electric conversion efficiency of the gas turbine, H gas The lower calorific value of natural gas; N and M represent the number of new energy units and adjustable units, respectively; P s (t), P d (t) represents the operating output of the s-th group of new energy generating units and the d-th group of adjustable generating units during time period t, respectively. k (t) represents the battery's energy storage and discharge capacity during time period t, K. s K d K k These represent the unit maintenance consumption of new energy generator unit s, adjustable generator unit d, and battery; P ep (t) represents the power transmitted from the main grid to the regional integrated energy system during time period t, D ep (t) represents the electricity consumption of the regional integrated energy system during time period t; E p (P GT (t)), E p (P ep (t) represents the emissions of the p-th pollutant from the gas turbine and the additional power consumption during time period t, δ p The cost of treating pollutant type p is q; the number of pollutant types is q; P es (t) represents the power transmitted from the regional integrated energy system to the main grid during time period t, D es (t) represents the electricity price of the regional integrated energy system during time period t.

[0022] Furthermore, the first energy balance constraint:

[0023] P GT (t)+P w (t)+P v (t)+P ep (t)+P k (t)=P e (t)+P HP (t)+P es (t);

[0024] P LB,h (t)+P HP,h (t)=P h (t);

[0025] Among them, P e (t), P h (t) represent the electricity demand load and heat demand load of the regional integrated energy system during time period t, respectively; P w (t), P v (t) represents the power generation of the wind turbine and the power generation of the photovoltaic unit during time period t; P HP (t) represents the electrical power driving the GSHP during time period t; P LB,h (t) represents the thermal power of the bromine refrigeration system during time period t; P HP,h (t) represents the electrothermal conversion power of the GSHP during time period t;

[0026] Operating constraints of the first unit:

[0027] P d,min ≤P d (t)≤P d,max ;

[0028] Among them, P d,min P d,max These represent the minimum and maximum allowable output of the adjustable generator unit d, respectively; P d (t) represents the operating output of the adjustable unit in group d during time period t;

[0029] First power transfer constraint:

[0030] P ep,min ≤P ep (t)≤P ep,max ;

[0031] P es,min ≤P es (t)≤P es,max ;

[0032] Among them, P ep,min P ep,max These represent the minimum and maximum allowable power consumption of the tie line, respectively; P es,min P es,max These are the minimum and maximum power supplies allowed for the tie line, respectively.

[0033] First energy storage operation constraint:

[0034] P k,min ≤P k (t)≤P k,max ;

[0035] E k (0)=Ek (T);

[0036] Among them, P k,min P k,max These are the minimum and maximum allowable output of the battery, respectively; E k (0), E k (T) represent the state of charge of the battery at the first and last moments, respectively;

[0037] The first power flow constraint includes network power flow considering grid power flow constraint and network power flow considering gas grid power flow constraint.

[0038] Furthermore, the second optimization model includes a second objective function that minimizes the regional integrated energy system operating consumption on a typical summer day, and a second constraint condition that constrains the second objective function;

[0039] The second constraint includes the second energy balance constraint, CCHP cold storage operation constraint, second unit operation constraint, second power transmission constraint, second energy storage operation constraint, and second power flow constraint.

[0040] Furthermore, the second objective function is:

[0041]

[0042] Among them, C′ cs C′ represents the total consumption of the regional integrated energy system within the scheduling cycle T′. fu (t), C′ om (t), C′ ep (t), C′ en (t) represents the fuel consumption, operation and maintenance consumption, electricity consumption, and environmental consumption of the regional integrated energy system during time period t; C′ es (t) represents the power supply resources obtained by the regional integrated energy system during time period t;

[0043] C′ fu (t)=[P GT (t)+P GT,b (t)]C gas / (η GT H gas );

[0044]

[0045] C′ ep (t)=P ep (t)D ep (t);

[0046]

[0047] C′es (t)=P es (t)D es (t);

[0048] Among them, P GT (t) represents the gas turbine's gas-to-electric conversion power during time period t, P GT,b (t) represents the gas turbine power generated by the bromine chiller to the soil cold storage power during time period t, C gas For natural gas purchase unit consumption, η GT For the gas-to-electric conversion efficiency of the gas turbine, H gas The lower calorific value of natural gas; N and M represent the number of new energy units and adjustable units, respectively; P s (t), P d (t) represents the operating output of the s-th group of new energy generating units and the d-th group of adjustable generating units during time period t, respectively. k (t) represents the battery's energy storage and discharge capacity during time period t, K. s K d K k These represent the unit maintenance consumption of new energy generator unit s, adjustable generator unit d, and battery; P ep (t) represents the power transmitted from the main grid to the regional integrated energy system during time period t, D ep (t) represents the electricity consumption of the regional integrated energy system during time period t; E p (P GT (t)), E p (P ep (t) represents the emissions of the p-th pollutant from the gas turbine and the additional power consumption during time period t, δ p The cost of treating pollutant type p is q; the number of pollutant types is q; P es (t) represents the power transmitted from the regional integrated energy system to the main grid during time period t, D es (t) represents the electricity price of the regional integrated energy system during time period t.

[0049] Furthermore, the second energy balance constraint:

[0050] P GT (t)+P GT,b (t)+P w (t)+P v (t)+P ep (t)+P k (t)=P e (t)+P HP (t)+P es (t);

[0051] P LB,c (t)+P HP,c (t)=P c (t)+PLB,cb (t);

[0052] Among them, P w (t), P v (t) represents the power generation of the wind turbine and the power generation of the photovoltaic unit during time period t; P e (t) represents the regional integrated energy system's electricity demand load during time period t; P HP (t) represents the electrical power driving the GSHP during time period t; P LB,c (t) represents the refrigeration power of the bromine refrigeration system during time period t; P HP,c (t) represents the electro-cooling conversion power of the GSHP during time period t; P c (t) represents the system's cooling energy demand load during time period t; P LB,cb (t) represents the cooling power of the bromine chiller to the soil during time period t;

[0053] The CCHP cold storage operation constraints are as follows:

[0054]

[0055] Wherein, ΔP is the difference between soil heat loss and heat extraction caused by uneven operating time of the ground source heat pump during the annual operation cycle of the regional integrated energy system; T s Number of days requiring cooling;

[0056] The second unit's operating constraints:

[0057] P d,min ≤P d (t)≤P d,max ;

[0058] Among them, P d,min P d,max These represent the minimum and maximum allowable output of the adjustable generator unit d, respectively; P d (t) represents the operating output of the adjustable unit in group d during time period t;

[0059] Second power transfer constraint:

[0060] P ep,min ≤P ep (t)≤P ep,max ;

[0061] P es,min ≤P es (t)≤P es,max ;

[0062] Among them, P ep,min P ep,max These represent the minimum and maximum allowable power consumption of the tie line, respectively; P es,min P es,maxThese are the minimum and maximum power supplies allowed for the tie line, respectively.

[0063] Second energy storage operation constraints:

[0064] P k,min ≤P k (t)≤P k,max ;

[0065] E k (0)=E k (T′);

[0066] Among them, P k,min P k,max These are the minimum and maximum allowable output of the battery, respectively; E k (0), E k (T) represent the state of charge of the battery at the first and last moments, respectively;

[0067] The second power flow constraint includes network power flow considering grid power flow constraint and network power flow considering gas grid power flow constraint.

[0068] A regional integrated energy dispatch optimization system based on CCHP cold storage operation includes an energy dispatch optimization model construction unit and an energy dispatch optimization execution unit;

[0069] The energy dispatch optimization model construction unit is used to construct an energy dispatch optimization model; the energy dispatch optimization model includes a first optimization model and a second optimization model.

[0070] The energy dispatch optimization execution unit is used to adjust the values ​​of each parameter in the energy dispatch optimization model so that the energy dispatch optimization model obtains the minimum value. The parameters set when the minimum value is obtained are used as optimization parameters. The optimization parameters are used to optimize the regional comprehensive energy dispatch, so that the annual heat release from the soil reaches a balance and the power supply capacity of CCHP during the summer peak electricity consumption period is improved.

[0071] Furthermore, the first optimization model includes a first objective function that minimizes the regional integrated energy system operating consumption on a typical winter day and a first constraint condition that constrains the first objective function;

[0072] The first constraints include a first energy balance constraint, a first unit operation constraint, a first power transmission constraint, a first energy storage operation constraint, and a first power flow constraint;

[0073] The second optimization model includes a second objective function that minimizes the energy consumption of the regional integrated energy system on a typical summer day, and a second constraint condition that constrains the second objective function.

[0074] The second constraint includes the second energy balance constraint, CCHP cold storage operation constraint, second unit operation constraint, second power transmission constraint, second energy storage operation constraint, and second power flow constraint.

[0075] The beneficial effects of this invention are as follows: This invention discloses a regional integrated energy dispatch optimization method and system based on CCHP cold storage operation, which optimizes the power supply capacity of CCHP in summer. By utilizing CCHP to store cold in the soil during peak electricity consumption periods, the power supply capacity of the gas turbine is improved while neutralizing some of the heat emitted by GSHP, thereby ensuring the balance of heat emission and extraction from the soil in winter and summer. Taking into account constraints such as energy balance and CCHP cold storage operation, an optimized dispatch model is established with the goal of minimizing system operating consumption. The optimized dispatch model is solved to obtain optimized parameters. The optimized parameters are used to optimize the regional integrated energy dispatch, so that the annual heat emission and extraction from the soil reaches a balance while improving the power supply capacity of CCHP during peak summer electricity consumption periods. Attached Figure Description

[0076] The present invention will be further described below with reference to the accompanying drawings and embodiments:

[0077] Figure 1 This is a schematic diagram of the scheduling optimization method of the present invention. Detailed Implementation

[0078] The present invention will be further described below with reference to the accompanying drawings, as shown in the figures:

[0079] The regional integrated energy dispatch optimization method based on CCHP cold storage operation of the present invention includes the following steps:

[0080] S1. During peak electricity consumption periods, increase the power output of the gas turbine to increase the cooling capacity of the CCHP, and use the additional cooling capacity for soil cooling storage.

[0081] Step S1 specifically includes:

[0082] Construct an energy dispatch optimization model; the energy dispatch optimization model includes a first optimization model and a second optimization model;

[0083] Adjust the values ​​of each parameter in the energy dispatch optimization model to achieve the minimum value. Use the parameters set when the minimum value is achieved as optimization parameters. Utilize the optimization parameters to optimize the regional integrated energy dispatch, so that the annual heat release from the soil reaches a balance and the power supply capacity of CCHP during the summer peak electricity consumption period is improved.

[0084] The scheduling optimization method of the present invention improves the power supply capacity of gas turbines in summer by operating CCHP with cold storage, reduces the operating consumption of regional integrated energy system, and at the same time, the cold storage can neutralize part of the heat dissipation of GSHP, thereby achieving a balance between heat dissipation and heat absorption in the soil throughout the year, effectively solving the problem of soil heat accumulation caused by the long summer operation time of GSHP.

[0085] CCHP (Concentrated-Gas Harnessed Power) can maximize energy efficiency by utilizing natural gas heat in a cascade manner. Its physical model is as follows:

[0086] Q GT (t)=P GT (t)(1-η GT -η loss ) / η GT (1)

[0087] P LB,h (t)=Q GT (t)η rec η LB,h (2)

[0088] P LB,c (t)=Q GT (t)η rec η LB,c (3)

[0089] In the formula: P GT (t), Q GT (t) represents the gas turbine's gas-to-electric conversion power and waste heat from gas-to-electric conversion during time period t; η GT η loss These are the gas turbine gas-to-electric conversion efficiency and heat loss rate, respectively; P LB,h (t), P LB,c (t) represents the heating and cooling power of the bromine refrigeration system during time period t; η rec η LB,h η LB,c These are the waste heat recovery rate, heating efficiency, and cooling efficiency of the bromine chiller, respectively.

[0090] The development and utilization of shallow geothermal resources such as soil mainly relies on GSHP heat exchange technology. GSHP uses underground pipes as heat exchangers, circulating a medium within the pipes to dissipate heat from the building into the soil (cooling operation) or extract heat from the soil to heat the building (heating operation). Its physical model is represented as follows:

[0091] P HP,h (t)=P HP (t)η hp,h (4)

[0092] P HP,c (t)=P HP(t)η hp,c (5)

[0093] In the formula: P HP (t), P HP,h (t), P HP,c (t) represents the electrical power, electrothermal conversion power, and electrocooling conversion power driving the GSHP during time period t, respectively; η hp,h η hp,c For GSHP, the coefficient of performance for heating and cooling is 1 / 2.

[0094] The heat extracted and released by GSHP from the soil are as follows:

[0095]

[0096]

[0097] In the formula: P ex P re These represent the total heat taken in and the heat released during the GSHP heating and cooling seasons, respectively; T w T s These represent the number of days for heating and cooling, respectively; T represents the scheduling cycle.

[0098] During the entire operating cycle of RIES, the deviation ΔP in soil heat release and heat extraction caused by uneven GSHP operating time can be expressed as:

[0099] ΔP=P re -P ex (8)

[0100] As the underground soil temperature gradually increases, the unit's COP decreases accordingly. Therefore, when making scheduling plans, decision-makers need to consider balancing this portion of ΔP to avoid soil temperature imbalance that could affect the normal operation of the GSHP.

[0101] In this embodiment, the first optimization model includes a first objective function that minimizes the consumption of the regional integrated energy system during a typical winter day and a first constraint condition that constrains the first objective function.

[0102] The first constraint includes a first energy balance constraint, a first unit operation constraint, a first power transmission constraint, a first energy storage operation constraint, and a first power flow constraint.

[0103] The first objective function is:

[0104]

[0105] Among them, C cs C represents the total consumption of the regional integrated energy system within the scheduling cycle T; fu (t), C om(t), C ep (t), C en (t) represents the fuel consumption, operation and maintenance consumption, electricity consumption, and environmental consumption of the regional integrated energy system during time period t; C es (t) represents the power supply resources obtained by the regional integrated energy system during time period t;

[0106] C fu (t)=P GT (t)C gas / (η GT H gas );

[0107]

[0108] C ep (t)=P ep (t)D ep (t);

[0109]

[0110] C es (t)=P es (t)D es (t);

[0111] Among them, P GT (t) represents the gas turbine's gas-to-electric conversion power during time period t, C gas η represents the unit consumption or unit price of natural gas. GT For the gas-to-electric conversion efficiency of the gas turbine, H gas The lower calorific value of natural gas; N and M represent the number of new energy units and adjustable units, respectively; P s (t), P d (t) represents the operating output of the s-th group of new energy generating units and the d-th group of adjustable generating units during time period t, respectively. k (t) represents the battery's energy storage and discharge capacity during time period t, K. s K d K k These represent the unit maintenance consumption of new energy generator unit s, adjustable generator unit d, and battery; P ep (t) represents the power transmitted from the main grid to the regional integrated energy system during time period t, D ep (t) represents the electricity consumption or electricity price of the regional integrated energy system during time period t; E p (P GT (t)), E p (P ep (t) represents the emissions of the p-th pollutant from the gas turbine and the additional power consumption during time period t, δ p The cost of treating pollutant type p is q; the number of pollutant types is q; P es(t) represents the power transmitted from the regional integrated energy system to the main grid during time period t, D es (t) represents the electricity price of the regional integrated energy system during time period t.

[0112] In this embodiment, the first energy balance constraint is:

[0113] P GT (t)+P w (t)+P v (t)+P ep (t)+P k (t)=P e (t)+P HP (t)+P es (t);

[0114] P LB,h (t)+P HP,h (t)=P h (t);

[0115] Among them, P e (t), P h (t) represent the electricity demand load and heat demand load of the regional integrated energy system during time period t, respectively; P w (t), P v (t) represents the power generation of the wind turbine and the power generation of the photovoltaic unit during time period t; P HP (t) represents the electrical power driving the GSHP during time period t; P LB,h (t) represents the thermal power of the bromine refrigeration system during time period t; P HP,h (t) represents the electrothermal conversion power of the GSHP during time period t;

[0116] Operating constraints of the first unit:

[0117] P d,min ≤P d (t)≤P d,max ;

[0118] Among them, P d,min P d,max These represent the minimum and maximum allowable output of the adjustable generator unit d, respectively; P d (t) represents the operating output of the adjustable unit in group d during time period t;

[0119] First power transfer constraint:

[0120] P ep,min ≤P ep (t)≤P ep,max ;

[0121] P es,min ≤P es (t)≤Pes,max ;

[0122] Among them, P ep,min P ep,max These represent the minimum and maximum allowable power consumption of the tie line, respectively; P es,min P es,max These are the minimum and maximum power supplies allowed for the tie line, respectively.

[0123] First energy storage operation constraint:

[0124] P k,min ≤P k (t)≤P k,max ;

[0125] E k (0)=E k (T);

[0126] Among them, P k,min P k,max These are the minimum and maximum allowable output of the battery, respectively; E k (0), E k (T) represent the state of charge of the battery at the first and last moments, respectively;

[0127] The first power flow constraint includes network power flow considering grid power flow constraints and network power flow considering gas grid power flow constraints. The network power flow considering grid power flow constraints and network power flow considering gas grid power flow constraints can adopt existing grid and gas grid power flow constraints, which will not be elaborated further here.

[0128] In this embodiment, the second optimization model includes a second objective function that minimizes the energy consumption of the regional integrated energy system on a typical summer day, and a second constraint condition that constrains the second objective function.

[0129] The second constraint includes the second energy balance constraint, CCHP cold storage operation constraint, second unit operation constraint, second power transmission constraint, second energy storage operation constraint, and second power flow constraint.

[0130] The second objective function is:

[0131]

[0132] Among them, C′ cs C′ represents the total consumption of the regional integrated energy system within the scheduling cycle T′. fu (t), C′ om (t), C′ ep (t), C′ en (t) represents the fuel consumption, operation and maintenance consumption, electricity consumption, and environmental consumption of the regional integrated energy system during time period t; C′es (t) represents the power supply resources obtained by the regional integrated energy system during time period t;

[0133] C′ fu (t)=[P GT (t)+P GT,b (t)]C gas / (η GT H gas );

[0134]

[0135] C′ ep (t)=P ep (t)D ep (t);

[0136]

[0137] C′ es (t)=P es (t)D es (t);

[0138] Among them, P GT (t) represents the gas turbine's gas-to-electric conversion power during time period t, P GT,b (t) represents the gas turbine power generated by the bromine chiller to the soil cold storage power during time period t, C gas η represents the unit consumption or unit price of natural gas. GT For the gas-to-electric conversion efficiency of the gas turbine, H gas The lower calorific value of natural gas; N and M represent the number of new energy units and adjustable units, respectively; P s (t), P d (t) represents the operating output of the s-th group of new energy generating units and the d-th group of adjustable generating units during time period t, respectively. k (t) represents the battery's energy storage and discharge capacity during time period t, K. s K d K k These represent the unit maintenance consumption of new energy generator unit s, adjustable generator unit d, and battery; P ep (t) represents the power transmitted from the main grid to the regional integrated energy system during time period t, D ep (t) represents the electricity consumption or electricity price of the regional integrated energy system during time period t; E p (P GT (t)), E p (P ep (t) represents the emissions of the p-th pollutant from the gas turbine and the additional power consumption during time period t, δ p The cost of treating pollutant type p is q; the number of pollutant types is q; P es(t) represents the power transmitted from the regional integrated energy system to the main grid during time period t, D es (t) represents the electricity price of the regional integrated energy system during time period t.

[0139] In this embodiment, the second energy balance constraint is:

[0140] P GT (t)+P GT,b (t)+P w (t)+P v (t)+P ep (t)+P k (t)=P e (t)+P HP (t)+P es (t);

[0141] P LB,c (t)+P HP,c (t)=P c (t)+P LB,cb (t);

[0142] Among them, P w (t), P v (t) represents the power generation of the wind turbine and the power generation of the photovoltaic unit during time period t; P e (t) represents the regional integrated energy system's electricity demand load during time period t; P HP (t) represents the electrical power driving the GSHP during time period t; P LB,c (t) represents the refrigeration power of the bromine refrigeration system during time period t; P HP,c (t) represents the electro-cooling conversion power of the GSHP during time period t; P c (t) represents the system's cooling energy demand load during time period t; P LB,cb (t) represents the cooling power of the bromine chiller to the soil during time period t;

[0143] Based on the first optimization model, the total heat extraction P from the soil during the heating season according to GSHP is... ex To establish the CCHP cold storage operation constraints in the second optimization model, the CCHP cold storage operation constraints are as follows:

[0144]

[0145] Wherein, ΔP represents the soil heat loss P caused by uneven operation of the ground source heat pump during the annual operating cycle of the regional integrated energy system. re With heat P ex The difference P between them re -P ex ;T s Number of days requiring cooling;

[0146] The second unit's operating constraints:

[0147] P d,min ≤P d (t)≤P d,max ;

[0148] Among them, P d,min P d,max These represent the minimum and maximum allowable output of the adjustable generator unit d, respectively; P d (t) represents the operating output of the adjustable unit in group d during time period t;

[0149] Second power transfer constraint:

[0150] P ep,min ≤P ep (t)≤P ep,max ;

[0151] P es,min ≤P es (t)≤P es,max ;

[0152] Among them, P ep,min P ep,max These represent the minimum and maximum allowable power consumption of the tie line, respectively; P es,min P es,max These are the minimum and maximum power supplies allowed for the tie line, respectively.

[0153] Second energy storage operation constraints:

[0154] P k,min ≤P k (t)≤P k,max ;

[0155] E k (0)=E k (T′);

[0156] Among them, P k,min P k,max These are the minimum and maximum allowable output of the battery, respectively; E k (0), E k (T) represent the state of charge of the battery at the first and last moments, respectively;

[0157] The second power flow constraint includes network power flow considering grid power flow constraints and network power flow considering gas grid power flow constraints. Similarly, the existing grid and gas grid power flow constraints can be used for network power flow considering grid power flow constraints and network power flow considering gas grid power flow constraints, which will not be elaborated here.

[0158] The power flow constraints in the first and second optimization models include nonlinear constraints. These can be solved using existing linearization methods in the optimization software CPLEX, which solves the energy dispatch optimization model composed of the first and second optimization models.

[0159] The present invention also relates to a regional integrated energy dispatch optimization system based on CCHP cold storage operation. The system corresponds to the above-mentioned regional integrated energy dispatch optimization method based on CCHP cold storage operation and can be understood as a system for implementing the above method. The system includes an energy dispatch optimization model construction unit and an energy dispatch optimization execution unit.

[0160] The energy dispatch optimization model construction unit is used to construct an energy dispatch optimization model; the energy dispatch optimization model includes a first optimization model and a second optimization model.

[0161] The energy dispatch optimization execution unit is used to adjust the values ​​of each parameter in the energy dispatch optimization model so that the energy dispatch optimization model obtains the minimum value. The parameters set when the minimum value is obtained are used as optimization parameters. The optimization parameters are used to optimize the regional comprehensive energy dispatch, so that the annual heat release from the soil reaches a balance and the power supply capacity of CCHP during the summer peak electricity consumption period is improved.

[0162] The first optimization model includes a first objective function that minimizes the regional integrated energy system operating consumption on a typical winter day and a first constraint condition that constrains the first objective function.

[0163] The first constraints include a first energy balance constraint, a first unit operation constraint, a first power transmission constraint, a first energy storage operation constraint, and a first power flow constraint;

[0164] The second optimization model includes a second objective function that minimizes the energy consumption of the regional integrated energy system on a typical summer day, and a second constraint condition that constrains the second objective function.

[0165] The second constraint includes the second energy balance constraint, CCHP cold storage operation constraint, second unit operation constraint, second power transmission constraint, second energy storage operation constraint, and second power flow constraint.

[0166] To better understand the regional integrated energy dispatch optimization method and system of the present invention, the following explanation is provided with reference to a computational example:

[0167] This example system consists of an 8-node natural gas system and a 9-node power system. The predicted wind and solar power outputs for typical days are from a green energy demonstration project in southern China. Electricity price information and key unit operating parameters are shown in Tables 1 and 2. Other parameters are: H... gas = 9.7 kWh / m3 C gas =2.54 yuan / m 3 E k (0) = 0.2; T w =80d,T s =105d; T=24h.

[0168] Table 1

[0169]

[0170] Table 2

[0171]

[0172] By employing the regional integrated energy dispatch optimization method and system of the present invention, the winter dispatch result is as follows:

[0173] During typical winter days, the system operates under off-peak electricity pricing periods from the 1st to the 6th and from the 23rd to the 24th. During these periods, system power consumption is low, and the load is supplied by wind power, gas turbines, and other electrical components. During these times, the GSHP (Grand Gas Storage Power Supply) has the lowest unit heating consumption, and the heat load is prioritized for supply by the GSHP, with any shortfall being made up by the CCHP (Clean Gas Storage Power Supply). Batteries utilize the off-peak electricity pricing advantage to store energy during these periods.

[0174] During the peak and off-peak electricity price periods from July 22nd, the gas turbine power generation consumption is lower than the system's electricity supply price. The system's heat load is fully supplied by the CCHP to maximize the gas turbine's power output. During this period, the system provides power during periods of surplus supply and receives power from the main grid during periods of insufficient supply to meet the load. The GSHP shuts down during this period, and the battery provides power during peak electricity demand periods. The total heat taken by the GSHP during the heating cycle is 38,400 kW.

[0175] The CCHP (CCHP) cooling system operation is not considered on typical summer days. During the low electricity price periods of January 1-6 and January 23-24, the gas turbine's energy consumption is higher, and the system's electrical load is mainly provided by electrical power consumption and wind power. During these periods, the GSHP's cooling consumption is lowest, and the cooling load is mainly provided by the GSHP. During the higher electricity price period of July 7-22, the gas turbine's energy consumption is more advantageous, and the system's cooling load is fully provided by the CCHP to maximize the gas turbine's electrical output. The GSHP is shut down during these periods. The battery operates on the principle of "low storage, high output" during the scheduling cycle. Throughout the entire cooling cycle, the GSHP discharges a total of 77,349 kW of heat to the soil. The deviation between soil heat discharge and heat extraction is 38,949 kW. If no limiting measures are taken, the soil temperature will rise year by year, ultimately affecting the operation of the GSHP.

[0176] Consider the typical daily scheduling of CCHP (CCupper cooling heap) operation during summer. During the peak electricity price period from the 17th to the 22nd, the gas turbine operates at full capacity, with surplus electricity supplied to the main grid via the tie line. Simultaneously, the bromine chiller utilizes its waste heat from power generation for cooling, storing this cooling capacity in the soil. Furthermore, the GSHP operates for cooling during the normal electricity price periods of the 12th-13th and 15th. This is because, to minimize system consumption, the gas turbine maintains full output during peak electricity price periods, leading to excessive cooling storage of the soil by the CCHP. Therefore, the GSHP needs to increase its heat release into the soil to ensure a balance between heat release during the cooling season and heat absorption during the winter. During the cooling cycle, the GSHP releases a total of 89,096 kW of heat into the soil, while the CCHP stores 50,696 kW of cooling capacity. After neutralization, the GSHP releases a total of 38,400 kW of heat into the soil, thus achieving a balance between heat release and absorption into the soil throughout the year.

[0177] With the CCHP cooling storage operation in summer, the output capacity of the gas turbine during peak electricity demand is improved, resulting in a 17.40% increase in system fuel consumption. However, the system's demand for main grid power is also reduced accordingly. During the dispatching cycle, the system's power consumption is reduced by 15.46%, the resources obtained are increased by 143.60%, and the total consumption is reduced by 8.25%.

[0178] This invention provides an objective and scientific method and system for optimizing regional integrated energy dispatch. In summer, utilizing CCHP (Clean-Cooled Hierarchical Power Generation) for soil cooling can neutralize some of the heat released into the soil by GSHP (Gas-Powered Hierarchical Power Generation), thus achieving a balance between heat release and extraction into the soil by GSHP throughout the year. CCHP cooling operation effectively enhances the power supply capacity of gas turbines, thereby enabling the regional integrated energy system to acquire more resources. The total consumption of the regional integrated energy system decreased by 8.25% during the dispatch cycle, alleviating the peak-shaving pressure on the main grid.

[0179] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A regional integrated energy dispatch optimization method based on CCHP cold storage operation, characterized in that: Includes the following steps: S1. During peak electricity consumption periods, increase the power output of the gas turbine to increase the cooling capacity of the CCHP, and use the additional cooling capacity for soil cooling storage; Step S1 specifically includes: Construct an energy dispatch optimization model; the energy dispatch optimization model includes a first optimization model and a second optimization model; The first optimization model includes a first objective function that minimizes the regional integrated energy system operating consumption on a typical winter day and a first constraint condition that constrains the first objective function. The first constraints include a first energy balance constraint, a first unit operation constraint, a first power transmission constraint, a first energy storage operation constraint, and a first power flow constraint; The second optimization model includes a second objective function that minimizes the regional integrated energy system operating consumption on a typical summer day, and a second constraint condition that constrains the second objective function. The second constraint includes the second energy balance constraint, CCHP cold storage operation constraint, second unit operation constraint, second power transmission constraint, second energy storage operation constraint, and second power flow constraint; The second objective function is: ； in, scheduling period Total energy consumption of the integrated energy system in the inner region; , , , They are respectively Fuel consumption, operation and maintenance consumption, electricity consumption, and environmental consumption of the integrated energy system in the time period and region; for The resources obtained from the power supply of the time-region integrated energy system; ； ； ； ； ； in, for Gas turbine gas-to-electric conversion power during specific time periods The power generated by the gas turbine corresponding to the cooling power supplied to the soil by the bromine chiller during time period t. For natural gas purchase units' consumption, For the gas turbine gas-to-electric conversion efficiency, It has a low calorific value for natural gas; , These refer to the number of new energy generating units and adjustable generating units, respectively. , They are respectively Time period Group of new energy units, the first The unit's operating output can be adjusted. for Battery energy storage and discharge capacity during different time periods , , Respectively, new energy units Adjustable unit Battery unit maintenance consumption; for The power transmitted from the main grid to the regional integrated energy system during the specified time period. for Electricity consumption of the integrated energy system in a given time period and region; , They are respectively The time-limited gas turbine and the additional power consumption of the third Emissions of various pollutants For the first The treatment of various pollutants consumes resources; The number of pollutant types; for The power transmitted from the regional integrated energy system to the main grid during a given time period. for Electricity pricing for time-limited regional integrated energy systems; The second energy balance constraint: ； ； Among them, P w (t), P v (t) represents the power generation of the wind turbine and the power generation of the photovoltaic unit during time period t; P e (t) represents the electricity demand load of the regional integrated energy system during time period t; The electrical power driving the GSHP during time period t; The refrigeration power of the bromine refrigeration unit during time period t; The electrocooling conversion power of GSHP during time period t; The system's cooling energy demand load during time period t; The power of the bromine chiller to store cold in the soil during time period t; The CCHP cold storage operation constraints are as follows: ； in, The difference between soil heat loss and heat extraction caused by uneven operating time of ground source heat pumps during the annual operation cycle of the regional integrated energy system. Number of days requiring cooling; The second unit's operating constraints: ； Among them, P d,min P d,max These are the minimum and maximum allowable output of the adjustable unit d, respectively. for Time period The unit's operating output can be adjusted. Second power transfer constraint: ； ； Among them, P ep,min P ep,max These represent the minimum and maximum allowable power consumption of the tie line, respectively; P es,min P es,max These are the minimum and maximum power supplies allowed for the tie line, respectively. Second energy storage operation constraints: ； ； Among them, P k,min P k,max These are the minimum and maximum allowable output of the battery, respectively; E k (0), E k (T) represent the state of charge of the battery at the first and last moments, respectively; The second power flow constraint includes network power flow considering grid power flow constraint and network power flow considering gas grid power flow constraint; Adjust the values ​​of each parameter in the energy dispatch optimization model to achieve the minimum value. Use the parameters set when the minimum value is achieved as optimization parameters. Utilize the optimization parameters to optimize the regional integrated energy dispatch, so that the annual heat release from the soil reaches a balance and the power supply capacity of CCHP during the summer peak electricity consumption period is improved.

2. The regional integrated energy dispatch optimization method based on CCHP cold storage operation according to claim 1, characterized in that: The first objective function is: ； in, scheduling period Total energy consumption of the integrated energy system in the inner region; , , , They are respectively Fuel consumption, operation and maintenance consumption, electricity consumption, and environmental consumption of the integrated energy system in the time period and region; for The resources obtained from the power supply of the time-region integrated energy system; ； ； ； ； ； in, for Gas turbine gas-to-electric conversion power during specific time periods For natural gas purchase units' consumption, For the gas turbine gas-to-electric conversion efficiency, It has a low calorific value for natural gas; , These refer to the number of new energy generating units and adjustable generating units, respectively. , They are respectively Time period Group of new energy units, the first The unit's operating output can be adjusted. for Battery energy storage and discharge capacity during different time periods , , Respectively, new energy units Adjustable unit Battery unit maintenance consumption; for The power transmitted from the main grid to the regional integrated energy system during the specified time period. for Electricity consumption of the integrated energy system in a given time period and region; , They are respectively The time-limited gas turbine and the additional power consumption of the third Emissions of various pollutants For the first The treatment of various pollutants consumes resources; The number of pollutant types; for The power transmitted from the regional integrated energy system to the main grid during a given time period. for Electricity price for the time-limited regional integrated energy system.

3. The regional integrated energy dispatch optimization method based on CCHP cold storage operation according to claim 1, characterized in that: First energy balance constraint: ； ； Among them, P e (t), P h (t) represent the electricity demand load and heat demand load of the regional integrated energy system during time period t, respectively; P w (t), P v (t) represents the power generation of the wind turbine and the power generation of the photovoltaic unit during time period t, respectively. The electrical power driving the GSHP during time period t; The heating power of the bromine refrigeration system during time period t; The electrothermal conversion power of GSHP during time period t; Operating constraints of the first unit: ； Among them, P d,min P d,max These are the minimum and maximum allowable output of the adjustable unit d, respectively. for Time period The unit's operating output can be adjusted. First power transfer constraint: ； ； Among them, P ep,min P ep,max These represent the minimum and maximum allowable power consumption of the tie line, respectively; P es,min P es,max These are the minimum and maximum power supplies allowed for the tie line, respectively. First energy storage operation constraint: ； ； Among them, P k,min P k,max These are the minimum and maximum allowable output of the battery, respectively; E k (0), E k (T) represent the state of charge of the battery at the first and last moments, respectively; The first power flow constraint includes network power flow considering grid power flow constraint and network power flow considering gas grid power flow constraint.

4. A regional integrated energy dispatch optimization system based on CCHP cold storage operation, which implements the regional integrated energy dispatch optimization method based on CCHP cold storage operation as described in any one of claims 1-3, characterized in that: It includes an energy dispatch optimization model construction unit and an energy dispatch optimization execution unit; The energy dispatch optimization model construction unit is used to construct an energy dispatch optimization model; the energy dispatch optimization model includes a first optimization model and a second optimization model. The energy dispatch optimization execution unit is used to adjust the values ​​of each parameter in the energy dispatch optimization model so that the energy dispatch optimization model obtains the minimum value. The parameters set when the minimum value is obtained are used as optimization parameters. The optimization parameters are used to optimize the regional comprehensive energy dispatch, so that the annual heat release from the soil reaches a balance and the power supply capacity of CCHP during the summer peak electricity consumption period is improved.

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