CN117495020A - Regional comprehensive energy scheduling optimization method and system based on CCHP cold accumulation operation - Google Patents
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Abstract
The invention discloses a regional comprehensive energy scheduling optimization method and system based on CCHP cold storage operation, comprising the following steps: constructing an energy scheduling optimization model; the energy scheduling optimization model comprises a first optimization model and a second optimization model; and adjusting each parameter value in the energy scheduling optimization model to enable the energy scheduling optimization model to obtain the minimum value, taking the parameter set when the minimum value is obtained as an optimization parameter, and scheduling and optimizing the regional comprehensive energy by utilizing the optimization parameter to balance annual heat removal quantity of soil and improve the power consumption peak CCHP power supply capacity in summer. The invention can realize the annual heat removal balance of the soil and improve the power supply capacity of the peak CCHP of the electricity consumption in summer.
Description
Technical Field
The invention relates to the field of regional comprehensive energy, in particular to a regional comprehensive energy scheduling optimization method and system based on CCHP cold storage operation.
Background
The method promotes the green and efficient transformation of the traditional energy system, and is an important means for realizing the double-carbon strategic target. The regional comprehensive energy system (regional integrated energy system, RIES) effectively improves the energy efficiency and reduces the pollution emission by properly developing clean energy sources such as wind, light, geothermal energy and the like due to the fact that the traditional independent energy supply networks such as electricity, heat, gas and the like are integrated and coupled. Combined cooling, heating and power (combined cooling heating and power, CCHP) is a novel unit for realizing energy cascade utilization, wherein a gas generator set utilizes natural gas to generate power, and the generated waste heat enters a waste heat recovery system to supply heat and refrigerate, so that the comprehensive utilization efficiency of energy sources is effectively improved. The ground source heat pump (ground source heat pump, GSHP) is a new energy utilization technology, and utilizes the resources such as soil, groundwater and the like to realize heat transfer, thereby realizing heat supply and refrigeration.
In addition, the generated energy of the gas turbine in any period depends on the cold load size of the period under the influence of the CCHP in the cold fixed electricity operation mode in summer, so that the period with smaller cold load is caused when the electric load is higher, the gas turbine cannot autonomously maximize the output force, the shortage exists between the power supply amount of the RIES system and the electric load, and the partial power supply is complemented by the main network to the RIES power supply, so that the higher power consumption of the RIES system in the electricity utilization peak is increased, the peak regulating pressure of the main network in the period is increased, and the problem that the running performance of the GSHP is reduced is solved.
Therefore, in order to solve the above problems, a regional comprehensive energy scheduling optimization method and system based on CCHP cold storage operation are needed, and the power supply capacity of the CCHP peak in summer can be improved while the annual heat removal balance of soil can be realized.
Disclosure of Invention
Therefore, the invention aims to overcome the defects in the prior art, and provides a regional comprehensive energy scheduling optimization method and a regional comprehensive energy scheduling optimization system based on CCHP cold storage operation, which can realize the annual heat removal balance of soil and improve the power supply capacity of the peak CCHP of summer electricity consumption.
The regional comprehensive energy scheduling optimization method based on CCHP cold storage operation comprises the following steps:
s1, during the power consumption peak period, the power generation output of the gas turbine is improved to increase CCHP refrigeration power, and the newly increased refrigeration power is used for soil cold storage.
Further, the step S1 specifically includes:
constructing an energy scheduling optimization model; the energy scheduling optimization model comprises a first optimization model and a second optimization model;
and adjusting each parameter value in the energy scheduling optimization model to enable the energy scheduling optimization model to obtain the minimum value, taking the parameter set when the minimum value is obtained as an optimization parameter, and scheduling and optimizing the regional comprehensive energy by utilizing the optimization parameter to balance annual heat removal quantity of soil and improve the power consumption peak CCHP power supply capacity in summer.
Further, the first optimization model comprises a first objective function with minimum running consumption of the comprehensive energy system in a typical winter daily area and a first constraint condition for constraining the first objective function;
the first constraint condition comprises a first energy balance constraint, a first unit operation constraint, a first electric energy transmission constraint, a first energy storage operation constraint and a first tide constraint.
Further, the first objective function is:
wherein the method comprises the steps of，C cs The total consumption of the regional comprehensive energy system in the scheduling period T; c (C) fu (t)、C om (t)、C ep (t)、C en (t) fuel consumption, operation and maintenance consumption, electricity consumption and environment consumption of the comprehensive energy system in the t period region respectively; c (C) es (t) the resources obtained by the power supply of the comprehensive energy system in the t period area;
C fu (t)＝P GT (t)C gas /(η GT H gas )；
C ep (t)＝P ep (t)D ep (t)；
C es (t)＝P es (t)D es (t)；
wherein P is GT (t) is the gas-electricity conversion power of the gas turbine in the period t, C gas Is consumed for natural gas purchasing unit, eta GT For gas turbine gas-electricity conversion efficiency, H gas Is natural gas with low calorific value; n, M is the number of new energy units and adjustable units, P s (t)、P d (t) the operation output force of the (th) group of new energy units and the (d) group of adjustable units in the t period respectively, P k (t) is the electric energy storage and release power of the storage battery in the period of t, K s 、K d 、K k The maintenance consumption of the new energy unit s, the adjustable unit d and the storage battery unit is respectively; p (P) ep (t) is the transmission power of the main network to the regional comprehensive energy system in the period t, D ep (t) the electricity consumption of the comprehensive energy system in the t period zone; e (E) p (P GT (t))、E p (P ep (t)) is the p-th pollutant emission amount, delta of the gas turbine and the electric power addition respectively in the t period p The consumption is treated for the p-th pollutant; q is the number of the pollutant species; p (P) es (t) the comprehensive energy system of the t period zone is directed to the main networkPower transmission, D es And (t) the power supply price of the comprehensive energy system in the t-period region.
Further, the first energy balance constraint:
P GT (t)+P w (t)+P v (t)+P ep (t)+P k (t)＝P e (t)+P HP (t)+P es (t)；
P LB,h (t)+P HP,h (t)＝P h (t)；
wherein P is e (t)、P h (t) the electric energy demand load and the heat energy demand load of the comprehensive energy system in the t period region respectively; p (P) w (t)、P v (t) generating power of the wind turbine generator and generating power of the photovoltaic generator in a t period respectively; p (P) HP (t) electric power to drive GSHP operation for a period of t; p (P) LB,h (t) is the heating power of a bromine refrigeration machine in a t period; p (P) HP,h (t) electrothermal conversion power for t period GSHP;
the first unit operation constraint:
P d,min ≤P d (t)≤P d,max ；
wherein P is d,min 、P d,max The minimum output and the maximum output allowed by the adjustable unit d are respectively; p (P) d (t) the operating output force of the group d adjustable unit in the t period;
the first power transfer constraint:
P ep,min ≤P ep (t)≤P ep,max ；
P es,min ≤P es (t)≤P es,max ；
wherein P is ep,min 、P ep,max Minimum power consumption and maximum power consumption allowed by the connecting lines respectively; p (P) es,min 、P es,max The minimum power supply and the maximum power supply allowed by the connecting lines are respectively;
the first stored energy operation constraint:
P k,min ≤P k (t)≤P k,max ；
E k (0)＝E k (T)；
wherein P is k,min 、P k,max Respectively the minimum and maximum allowable output of the storage battery; e (E) k (0)、E k (T) respectively representing the charge states of the storage battery at the first moment and the last moment;
the first power flow constraint comprises a network power flow consideration power grid power flow constraint and a network power flow consideration air network power flow constraint.
Further, the second optimization model comprises a second objective function with minimum running consumption of the integrated energy system in a typical daily area in summer and a second constraint condition for constraining the second objective function;
the second constraint condition comprises a second energy balance constraint, a CCHP cold storage operation constraint, a second unit operation constraint, a second electric energy transmission constraint, a second energy storage operation constraint and a second tide constraint.
Further, the second objective function is:
wherein C' cs The total consumption of the regional comprehensive energy system in the scheduling period T'; c'. fu (t)、C′ om (t)、C′ ep (t)、C′ en (t) fuel consumption, operation and maintenance consumption, electricity consumption and environment consumption of the comprehensive energy system in the t period region respectively; c'. es (t) the resources obtained by the power supply of the comprehensive energy system in the t period area;
C′ fu (t)＝[P GT (t)+P GT,b (t)]C gas /(η GT H gas )；
C′ ep (t)＝P ep (t)D ep (t)；
C′ es (t)＝P es (t)D es (t)；
wherein P is GT (t) is the gas-electric conversion power of the gas turbine in the period t, P GT,b (t) is the power generated by the gas turbine corresponding to the power of the bromine cold machine to store the cold to the soil in the period of t, C gas Is consumed for natural gas purchasing unit, eta GT For gas turbine gas-electricity conversion efficiency, H gas Is natural gas with low calorific value; n, M is the number of new energy units and adjustable units, P s (t)、P d (t) the operation output force of the (th) group of new energy units and the (d) group of adjustable units in the t period respectively, P k (t) is the electric energy storage and release power of the storage battery in the period of t, K s 、K d 、K k The maintenance consumption of the new energy unit s, the adjustable unit d and the storage battery unit is respectively; p (P) ep (t) is the transmission power of the main network to the regional comprehensive energy system in the period t, D ep (t) the electricity consumption of the comprehensive energy system in the t period zone; e (E) p (P GT (t))、E p (P ep (t)) is the p-th pollutant emission amount, delta of the gas turbine and the electric power addition respectively in the t period p The consumption is treated for the p-th pollutant; q is the number of the pollutant species; p (P) es (t) is the transmission power of the regional comprehensive energy system in the period t to the main network, D es And (t) the power supply price of the comprehensive energy system in the t-period region.
Further, the second energy balance constraint:
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)；
P LB,c (t)+P HP,c (t)＝P c (t)+P LB,cb (t)；
wherein P is w (t)、P v (t) generating power of the wind turbine generator and generating power of the photovoltaic generator in a t period respectively; p (P) e (t) the electric energy demand load of the comprehensive energy system in the t period zone; p (P) HP (t) electric power to drive GSHP operation for a period of t; p (P) LB,c (t) bromine refrigeration mechanism for t periodA cold power; p (P) HP,c (t) is the electric cold converted power of the t period GSHP; p (P) c (t) is the system cold energy demand load in the period t; p (P) LB,cb (t) the cold storage power of the bromine cold machine to the soil in the period of t;
the CCHP cold storage operation constraint:
wherein delta P is the difference between the heat removal quantity and the soil heat removal quantity caused by uneven running time of the ground source heat pump in the annual running period of the regional comprehensive energy system; t (T) s For cooling days;
the second unit operation constraint:
P d,min ≤P d (t)≤P d,max ；
wherein P is d,min 、P d,max The minimum output and the maximum output allowed by the adjustable unit d are respectively; p (P) d (t) the operating output force of the group d adjustable unit in the t period;
the second power transfer constraint:
P ep,min ≤P ep (t)≤P ep,max ；
P es,min ≤P es (t)≤P es,max ；
wherein P is ep,min 、P ep,max Minimum power consumption and maximum power consumption allowed by the connecting lines respectively; p (P) es,min 、P es,max The minimum power supply and the maximum power supply allowed by the connecting lines are respectively;
the second stored energy operation constraint:
P k,min ≤P k (t)≤P k,max ；
E k (0)＝E k (T′)；
wherein P is k,min 、P k,max Respectively the minimum and maximum allowable output of the storage battery; e (E) k (0)、E k (T) respectively representing the charge states of the storage battery at the first moment and the last moment;
the second power flow constraint comprises a network power flow consideration power grid power flow constraint and a network power flow consideration air network power flow constraint.
A regional comprehensive energy scheduling optimization system based on CCHP cold accumulation operation comprises an energy scheduling optimization model building unit and an energy scheduling optimization executing unit;
the energy scheduling optimization model construction unit is used for constructing an energy scheduling optimization model; the energy scheduling optimization model comprises a first optimization model and a second optimization model;
the energy scheduling optimization execution unit is used for adjusting each parameter value in the energy scheduling optimization model to enable the energy scheduling optimization model to obtain the minimum value, taking the parameter set when the minimum value is obtained as an optimization parameter, utilizing the optimization parameter to schedule and optimize the regional comprehensive energy, enabling the annual heat removal of soil to reach balance, and improving the power consumption peak CCHP power supply capacity in summer.
Further, the first optimization model comprises a first objective function with minimum running consumption of the comprehensive energy system in a typical winter daily area and a first constraint condition for constraining the first objective function;
the first constraint condition comprises a first energy balance constraint, a first unit operation constraint, a first electric energy transmission constraint, a first energy storage operation constraint and a first tide constraint;
the second optimization model comprises a second objective function with minimum running consumption of the integrated energy system in a typical summer daily area and a second constraint condition for constraining the second objective function;
the second constraint condition comprises a second energy balance constraint, a CCHP cold storage operation constraint, a second unit operation constraint, a second electric energy transmission constraint, a second energy storage operation constraint and a second tide constraint.
The beneficial effects of the invention are as follows: according to the regional comprehensive energy scheduling optimization method and system based on CCHP cold accumulation operation, disclosed by the invention, the CCHP power supply capacity in summer is optimized, the CCHP is utilized to accumulate cold for soil in electricity consumption peak time, the power supply capacity of a gas turbine is improved, and meanwhile, the heat removal quantity of a GSHP part is neutralized, so that the heat removal balance of the soil in winter and summer is ensured; the constraints of energy balance, CCHP cold storage operation and the like are comprehensively considered, an optimal scheduling model is established with the aim of minimizing system operation consumption, the optimal scheduling model is solved to obtain optimal parameters, and the optimal parameters are utilized to schedule and optimize regional comprehensive energy, so that the annual heat removal amount of soil reaches balance, and the peak CCHP power supply capacity of electricity consumption in summer is improved.
Drawings
The invention is further described below with reference to the accompanying drawings and examples:
FIG. 1 is a flow chart of a scheduling optimization method of the present invention.
Detailed Description
The invention is further described with reference to the accompanying drawings, in which:
the regional comprehensive energy scheduling optimization method based on CCHP cold storage operation comprises the following steps:
s1, during the power consumption peak period, the power generation output of the gas turbine is improved to increase CCHP refrigeration power, and the newly increased refrigeration power is used for soil cold storage.
The step S1 specifically includes:
constructing an energy scheduling optimization model; the energy scheduling optimization model comprises a first optimization model and a second optimization model;
and adjusting each parameter value in the energy scheduling optimization model to enable the energy scheduling optimization model to obtain the minimum value, taking the parameter set when the minimum value is obtained as an optimization parameter, and scheduling and optimizing the regional comprehensive energy by utilizing the optimization parameter to balance annual heat removal quantity of soil and improve the power consumption peak CCHP power supply capacity in summer.
According to the scheduling optimization method, the power supply capacity of the gas turbine in summer is improved through CCHP cold storage operation, the operation consumption of an regional comprehensive energy system is reduced, meanwhile, the cold storage capacity can neutralize part of GSHP heat extraction, so that the balance of annual heat extraction of soil is realized, and the problem of soil heat accumulation caused by long GSHP summer operation time is effectively solved.
Among other things, CCHP can utilize natural gas heat in steps to maximize energy efficiency. The physical model is as follows:
Q GT (t)＝P GT (t)(1-η GT -η loss )/η GT (1)
P LB,h (t)＝Q GT (t)η rec η LB,h (2)
P LB,c (t)＝Q GT (t)η rec η LB,c (3)
wherein: p (P) GT (t)、Q GT (t) the gas turbine gas-electricity conversion power and the gas-electricity conversion residual heat in the period t respectively; η (eta) GT 、η loss The gas turbine gas-electricity conversion efficiency and the heat loss rate are respectively; p (P) LB,h (t)、P LB,c (t) respectively heating and cooling power of a bromine cooling machine in a t period; η (eta) rec 、η LB,h 、η LB,c The recovery rate of the waste heat, the heating and the refrigerating efficiency of the bromine cooler are respectively.
The development and utilization of shallow geothermal resources such as soil are mainly based on GSHP heat exchange technology. GSHP utilizes underground pipes as heat exchangers to dissipate heat in a building into the soil through a circulating medium in the pipes (cold supply mode), or to extract heat from the soil to supply heat to the building (heat supply mode). The physical model is expressed as:
P HP,h (t)＝P HP (t)η hp,h (4)
P HP,c (t)＝P HP (t)η hp,c (5)
wherein: p (P) HP (t)、P HP,h (t)、P HP,c (t) electric power, electric heat conversion power and electric cold conversion power for driving GSHP to operate in t time periods respectively; η (eta) hp,h 、η hp,c Is GSHP electric heating coefficient and electric refrigerating coefficient.
GSHP takes heat to soil, and the heat extraction capacity is respectively:
wherein: p (P) ex 、P re The total heat-collecting capacity and the heat-discharging capacity of the GSHP heating period and the cooling period are respectively; t (T) w 、T s Heating and cooling days respectively; t is the scheduling period.
In the annual running period of RIES, the soil heat rejection and heat extraction deviation DeltaP caused by uneven GSHP running time length can be expressed as:
ΔP＝P re -P ex (8)
as the subsurface soil temperature increases, the crew COP decreases, and therefore, when a decision maker makes a scheduling plan, it is necessary to consider balancing the portion Δp, so as to avoid the soil temperature imbalance from affecting the normal operation of the GSHP.
In this embodiment, the first optimization model includes a first objective function with minimum running consumption of the integrated energy system in a typical daily area in winter and a first constraint condition for constraining the first objective function;
the first constraint condition comprises a first energy balance constraint, a first unit operation constraint, a first electric energy transmission constraint, a first energy storage operation constraint and a first tide constraint.
The first objective function is:
wherein C is cs The total consumption of the regional comprehensive energy system in the scheduling period T; c (C) fu (t)、C om (t)、C ep (t)、C en (t) fuel consumption, operation and maintenance consumption, electricity consumption and environment consumption of the comprehensive energy system in the t period region respectively; c (C) es (t) the resources obtained by the power supply of the comprehensive energy system in the t period area;
C fu (t)＝P GT (t)C gas /(η GT H gas )；
C ep (t)＝P ep (t)D ep (t)；
C es (t)＝P es (t)D es (t)；
wherein P is GT (t) is the gas-electricity conversion power of the gas turbine in the period t, C gas Consumption or unit price of natural gas purchasing unit, eta GT For gas turbine gas-electricity conversion efficiency, H gas Is natural gas with low calorific value; n, M is the number of new energy units and adjustable units, P s (t)、P d (t) the operation output force of the (th) group of new energy units and the (d) group of adjustable units in the t period respectively, P k (t) is the electric energy storage and release power of the storage battery in the period of t, K s 、K d 、K k The maintenance consumption of the new energy unit s, the adjustable unit d and the storage battery unit is respectively; p (P) ep (t) is the transmission power of the main network to the regional comprehensive energy system in the period t, D ep (t) the electricity consumption or the electricity price of the comprehensive energy system in the t period area; e (E) p (P GT (t))、E p (P ep (t)) is the p-th pollutant emission amount, delta of the gas turbine and the electric power addition respectively in the t period p The consumption is treated for the p-th pollutant; q is the number of the pollutant species; p (P) es (t) is the transmission power of the regional comprehensive energy system in the period t to the main network, D es And (t) the power supply price of the comprehensive energy system in the t-period region.
In this embodiment, the first energy balance constraint:
P GT (t)+P w (t)+P v (t)+P ep (t)+P k (t)＝P e (t)+P HP (t)+P es (t)；
P LB,h (t)+P HP,h (t)＝P h (t)；
wherein P is e (t)、P h (t) the electric energy demand load and the heat energy demand load of the comprehensive energy system in the t period region respectively; p (P) w (t)、P v (t) generating power of the wind turbine generator and generating power of the photovoltaic generator in a t period respectively; p (P) HP (t) electric power to drive GSHP operation for a period of t; p (P) LB,h (t) is the heating power of a bromine refrigeration machine in a t period; p (P) HP,h (t) electrothermal conversion power for t period GSHP;
the first unit operation constraint:
P d,min ≤P d (t)≤P d,max ；
wherein P is d,min 、P d,max The minimum output and the maximum output allowed by the adjustable unit d are respectively; p (P) d (t) the operating output force of the group d adjustable unit in the t period;
the first power transfer constraint:
P ep,min ≤P ep (t)≤P ep,max ；
P es,min ≤P es (t)≤P es,max ；
wherein P is ep,min 、P ep,max Minimum power consumption and maximum power consumption allowed by the connecting lines respectively; p (P) es,min 、P es,max The minimum power supply and the maximum power supply allowed by the connecting lines are respectively;
the first stored energy operation constraint:
P k,min ≤P k (t)≤P k,max ；
E k (0)＝E k (T)；
wherein P is k,min 、P k,max Respectively the minimum and maximum allowable output of the storage battery; e (E) k (0)、E k (T) respectively representing the charge states of the storage battery at the first moment and the last moment;
the first power flow constraint comprises a network power flow consideration power grid power flow constraint and a network power flow consideration air network power flow constraint. The network power flow consideration power grid power flow constraint and the network power flow consideration air network power flow constraint can adopt the existing power grid and air network power flow constraint, and are not repeated here.
In this embodiment, the second optimization model includes a second objective function with minimum running consumption of the integrated energy system in a typical daily area in summer and a second constraint condition for constraining the second objective function;
the second constraint condition comprises a second energy balance constraint, a CCHP cold storage operation constraint, a second unit operation constraint, a second electric energy transmission constraint, a second energy storage operation constraint and a second tide constraint.
The second objective function is:
wherein C' cs The total consumption of the regional comprehensive energy system in the scheduling period T'; c'. fu (t)、C′ om (t)、C′ ep (t)、C′ en (t) fuel consumption, operation and maintenance consumption, electricity consumption and environment consumption of the comprehensive energy system in the t period region respectively; c'. es (t) the resources obtained by the power supply of the comprehensive energy system in the t period area;
C′ fu (t)＝[P GT (t)+P GT,b (t)]C gas /(η GT H gas )；
C′ ep (t)＝P ep (t)D ep (t)；
C′ es (t)＝P es (t)D es (t)；
wherein P is GT (t) is the gas-electric conversion power of the gas turbine in the period t, P GT,b (t) is the fuel gas corresponding to the cold storage power of the bromine cold machine to the soil in the period of tTurbine power generation, C gas Consumption or unit price of natural gas purchasing unit, eta GT For gas turbine gas-electricity conversion efficiency, H gas Is natural gas with low calorific value; n, M is the number of new energy units and adjustable units, P s (t)、P d (t) the operation output force of the (th) group of new energy units and the (d) group of adjustable units in the t period respectively, P k (t) is the electric energy storage and release power of the storage battery in the period of t, K s 、K d 、K k The maintenance consumption of the new energy unit s, the adjustable unit d and the storage battery unit is respectively; p (P) ep (t) is the transmission power of the main network to the regional comprehensive energy system in the period t, D ep (t) the electricity consumption or the electricity price of the comprehensive energy system in the t period area; e (E) p (P GT (t))、E p (P ep (t)) is the p-th pollutant emission amount, delta of the gas turbine and the electric power addition respectively in the t period p The consumption is treated for the p-th pollutant; q is the number of the pollutant species; p (P) es (t) is the transmission power of the regional comprehensive energy system in the period t to the main network, D es And (t) the power supply price of the comprehensive energy system in the t-period region.
In this embodiment, the second energy balance constraint:
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)；
P LB,c (t)+P HP,c (t)＝P c (t)+P LB,cb (t)；
wherein P is w (t)、P v (t) generating power of the wind turbine generator and generating power of the photovoltaic generator in a t period respectively; p (P) e (t) the electric energy demand load of the comprehensive energy system in the t period zone; p (P) HP (t) electric power to drive GSHP operation for a period of t; p (P) LB,c (t) is the bromine refrigeration power of the t period; p (P) HP,c (t) is the electric cold converted power of the t period GSHP; p (P) c (t) is the system cold energy demand load in the period t; p (P) LB,cb (t) the cold storage power of the bromine cold machine to the soil in the period of t;
heating season GSHP pairs transferred according to a first optimization modelTotal heat of soil P ex To establish CCHP cold storage operation constraints in a second optimization model, the CCHP cold storage operation constraints:
wherein delta P is the soil heat removal quantity P caused by uneven running time of the ground source heat pump in the annual running period of the regional comprehensive energy system re And heat taking amount P ex Difference P between re -P ex ；T s For cooling days;
the second unit operation constraint:
P d,min ≤P d (t)≤P d,max ；
wherein P is d,min 、P d,max The minimum output and the maximum output allowed by the adjustable unit d are respectively; p (P) d (t) the operating output force of the group d adjustable unit in the t period;
the second power transfer constraint:
P ep,min ≤P ep (t)≤P ep,max ；
P es,min ≤P es (t)≤P es,max ；
wherein P is ep,min 、P ep,max Minimum power consumption and maximum power consumption allowed by the connecting lines respectively; p (P) es,min 、P es,max The minimum power supply and the maximum power supply allowed by the connecting lines are respectively;
the second stored energy operation constraint:
P k,min ≤P k (t)≤P k,max ；
E k (0)＝E k (T′)；
wherein P is k,min 、P k,max Respectively the minimum and maximum allowable output of the storage battery; e (E) k (0)、E k (T) respectively representing the charge states of the storage battery at the first moment and the last moment;
the second power flow constraint comprises a network power flow consideration power grid power flow constraint and a network power flow consideration air network power flow constraint. Likewise, the network power flow consideration power grid power flow constraint and the network power flow consideration air network power flow constraint can adopt the existing power grid and air network power flow constraint, and are not described herein.
The power flow constraint in the first optimization model and the second optimization model comprises nonlinear constraint, and the energy scheduling optimization model formed by the first optimization model and the second optimization model can be solved in the optimization software CPLEX after the existing linearization processing method is adopted.
The invention also relates to a regional comprehensive energy scheduling optimization system based on CCHP cold storage operation, which corresponds to the regional comprehensive energy scheduling optimization method based on CCHP cold storage operation and can be understood as a system for realizing the method, and the system comprises an energy scheduling optimization model construction unit and an energy scheduling optimization execution unit;
the energy scheduling optimization model construction unit is used for constructing an energy scheduling optimization model; the energy scheduling optimization model comprises a first optimization model and a second optimization model;
the energy scheduling optimization execution unit is used for adjusting each parameter value in the energy scheduling optimization model to enable the energy scheduling optimization model to obtain the minimum value, taking the parameter set when the minimum value is obtained as an optimization parameter, utilizing the optimization parameter to schedule and optimize the regional comprehensive energy, enabling the annual heat removal of soil to reach balance, and improving the power consumption peak CCHP power supply capacity in summer.
The first optimization model comprises a first objective function with minimum running consumption of a winter typical daily regional comprehensive energy system and a first constraint condition for constraining the first objective function;
the first constraint condition comprises a first energy balance constraint, a first unit operation constraint, a first electric energy transmission constraint, a first energy storage operation constraint and a first tide constraint;
the second optimization model comprises a second objective function with minimum running consumption of the integrated energy system in a typical summer daily area and a second constraint condition for constraining the second objective function;
the second constraint condition comprises a second energy balance constraint, a CCHP cold storage operation constraint, a second unit operation constraint, a second electric energy transmission constraint, a second energy storage operation constraint and a second tide constraint.
In order to better understand the regional comprehensive energy scheduling optimization method and system of the invention, the following description is made with reference to an example:
the system is formed by coupling an 8-node natural gas system and a 9-node power system. The predicted power of each typical solar wind power and photovoltaic power comes from a certain green energy demonstration project in the south area, and the electricity price information and main operating parameters of the unit are shown in tables 1 and 2. The remaining parameters are: h gas ＝9.7kW·h/m 3 ，C gas =2.54 yuan/m 3 ；E k (0)＝0.2；T w ＝80d，T s ＝105d；T＝24h。
TABLE 1
TABLE 2
By adopting the regional comprehensive energy scheduling optimization method and the system, the winter scheduling result is as follows:
the typical daily system in winter is scheduled in the period of 1-6, 23-24 low electricity prices, the electricity consumption of the system is low, and the electricity load is provided by wind power, gas turbines and electricity power. In the period, GSHP unit heating consumption is the lowest, heat load is supplied by GSHP preferentially, and heat supply shortage is complemented by CCHP. The storage battery stores electricity in the period using the advantage of low electricity prices.
At 7-22 electricity rates, peak hours, gas turbine power generation consumption is lower than the system power supply electricity rate, and system heat load is fully provided by CCHP to maximize gas turbine power generation capacity. In the period, the system outputs power supply energy in a power supply surplus period, and the main network supplies power in a power supply shortage period so as to meet the power load. The GSHP is stopped in the period, and the storage battery is powered in the power consumption peak period. The total heat gain of GSHP in the heating period is 38400kW.
The CCHP cold storage operating system schedule is not considered in the summer typical day. In the low electricity price periods of 1-6 and 23-24, the gas turbine has higher electricity consumption, the system electric load is mainly provided by electric power and wind power, the GSHP refrigeration consumption of the period is the lowest, and the cold load is mainly provided by GSHP; gas turbine power consumption is more advantageous during the higher 7-22 electricity rates, and system cooling load is provided by the full CCHP to maximize gas turbine power output, during which GSHP shuts down. The storage battery in the dispatching period meets the principle of low storage and high emission. In the whole cooling period, GSHP totally extracts 77349kW to soil, the deviation of the heat extraction and the heat extraction amount of the soil is 38949kW, and if no limiting measures are taken, the soil temperature can rise year by year, and the GSHP operation is finally affected.
Consider a typical summer day schedule for CCHP cold storage operation. In the peak period of 17-22 electricity prices, the gas turbine realizes full output, surplus electric energy supplies power to the main network through the interconnecting line, and meanwhile, the bromine cooler utilizes the waste heat generated by the bromine cooler to refrigerate and stores part of refrigeration capacity into soil. In addition, GSHP carries out refrigeration operation in 12-13, 15 price level periods, and the reason is that in order to realize that the system consumption is minimum, gas turbine keeps full force in the peak period of electricity price, leads to CCHP to excessive cold accumulation to soil, thereby needs GSHP to increase the heat extraction quantity to soil to ensure that the heat extraction quantity of soil in cold supply season is balanced with the heat extraction quantity of soil in winter. GSHP in the cooling period totally discharges heat to the soil 89096kW, CCHP totally discharges heat to the soil and stores 50696kW, and GSHP totally discharges heat to the soil 38400kW after neutralizing to the balance of GSHP annual heat extraction to the soil has been realized.
After CCHP cold accumulation operation is considered in summer, the output capacity of the power consumption peak gas turbine is improved, so that the fuel consumption of the system is increased by 17.40%, the power demand of the system on a main network is correspondingly reduced, the power consumption of the system in a scheduling period is reduced by 15.46%, the obtained resources are increased by 143.60%, and the total consumption is reduced by 8.25%.
The invention provides an objective and scientific regional comprehensive energy scheduling optimization method and system, which utilize CCHP to store cold for soil in summer, and can neutralize the heat extraction amount of partial GSHP in the soil, thereby realizing the annual heat extraction amount balance of GSHP in the soil. The CCHP cold accumulation operation can effectively improve the power supply capacity of the gas turbine, so that the regional comprehensive energy system obtains more resources. The total consumption of the regional comprehensive energy system in the scheduling period is reduced by 8.25%, and the peak shaving pressure of the main network is relieved.
Finally, it is noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered by the scope of the claims of the present invention.
Claims (10)
1. A regional comprehensive energy scheduling optimization method based on CCHP cold accumulation operation is characterized in that: the method comprises the following steps:
s1, during the power consumption peak period, the power generation output of the gas turbine is improved to increase CCHP refrigeration power, and the newly increased refrigeration power is used for soil cold storage.
2. The regional comprehensive energy scheduling optimization method based on CCHP cold storage operation according to claim 1, which is characterized in that: the step S1 specifically includes:
constructing an energy scheduling optimization model; the energy scheduling optimization model comprises a first optimization model and a second optimization model;
and adjusting each parameter value in the energy scheduling optimization model to enable the energy scheduling optimization model to obtain the minimum value, taking the parameter set when the minimum value is obtained as an optimization parameter, and scheduling and optimizing the regional comprehensive energy by utilizing the optimization parameter to balance annual heat removal quantity of soil and improve the power consumption peak CCHP power supply capacity in summer.
3. The regional comprehensive energy scheduling optimization method based on the CCHP cold storage operation according to claim 2, which is characterized in that: the first optimization model comprises a first objective function with minimum running consumption of a winter typical daily regional comprehensive energy system and a first constraint condition for constraining the first objective function;
the first constraint condition comprises a first energy balance constraint, a first unit operation constraint, a first electric energy transmission constraint, a first energy storage operation constraint and a first tide constraint.
4. The regional comprehensive energy scheduling optimization method based on CCHP cold storage operation according to claim 3, wherein the method is characterized by: the first objective function is:
wherein C is cs The total consumption of the regional comprehensive energy system in the scheduling period T; c (C) fu (t)、C om (t)、C ep (t)、C en (t) fuel consumption, operation and maintenance consumption, electricity consumption and environment consumption of the comprehensive energy system in the t period region respectively; c (C) es (t) the resources obtained by the power supply of the comprehensive energy system in the t period area;
C fu (t)＝P GT (t)C gas /(η GT H gas )；
C ep (t)＝P ep (t)D ep (t)；
C es (t)＝P es (t)D es (t)；
wherein P is GT (t) gas turbine gas-to-electricity conversion for t periodPower, C gas Is consumed for natural gas purchasing unit, eta GT For gas turbine gas-electricity conversion efficiency, H gas Is natural gas with low calorific value; n, M is the number of new energy units and adjustable units, P s (t)、P d (t) the operation output force of the (th) group of new energy units and the (d) group of adjustable units in the t period respectively, P k (t) is the electric energy storage and release power of the storage battery in the period of t, K s 、K d 、K k The maintenance consumption of the new energy unit s, the adjustable unit d and the storage battery unit is respectively; p (P) ep (t) is the transmission power of the main network to the regional comprehensive energy system in the period t, D ep (t) the electricity consumption of the comprehensive energy system in the t period zone; e (E) p (P GT (t))、E p (P ep (t)) is the p-th pollutant emission amount, delta of the gas turbine and the electric power addition respectively in the t period p The consumption is treated for the p-th pollutant; q is the number of the pollutant species; p (P) es (t) is the transmission power of the regional comprehensive energy system in the period t to the main network, D es And (t) the power supply price of the comprehensive energy system in the t-period region.
5. The regional comprehensive energy scheduling optimization method based on CCHP cold storage operation according to claim 3, wherein the method is characterized by: the first energy balance constraint:
P GT (t)+P w (t)+P v (t)+P ep (t)+P k (t)＝P e (t)+P HP (t)+P es (t)；
P LB,h (t)+P HP,h (t)＝P h (t)；
wherein P is e (t)、P h (t) the electric energy demand load and the heat energy demand load of the comprehensive energy system in the t period region respectively; p (P) w (t)、P v (t) generating power of the wind turbine generator and generating power of the photovoltaic generator in a t period respectively; p (P) HP (t) electric power to drive GSHP operation for a period of t; p (P) LB,h (t) is the heating power of a bromine refrigeration machine in a t period; p (P) HP,h (t) electrothermal conversion power for t period GSHP;
the first unit operation constraint:
P d,min ≤P d (t)≤P d,max ；
wherein P is d,min 、P d,max The minimum output and the maximum output allowed by the adjustable unit d are respectively; p (P) d (t) the operating output force of the group d adjustable unit in the t period;
the first power transfer constraint:
P ep,min ≤P ep (t)≤P ep,max ；
P es,min ≤P es (t)≤P es,max ；
wherein P is ep,min 、P ep,max Minimum power consumption and maximum power consumption allowed by the connecting lines respectively; p (P) es,min 、P es,max The minimum power supply and the maximum power supply allowed by the connecting lines are respectively;
the first stored energy operation constraint:
P k,min ≤P k (t)≤P k,max ；
E k (0)＝E k (T)；
wherein P is k,min 、P k,max Respectively the minimum and maximum allowable output of the storage battery; e (E) k (0)、E k (T) respectively representing the charge states of the storage battery at the first moment and the last moment;
the first power flow constraint comprises a network power flow consideration power grid power flow constraint and a network power flow consideration air network power flow constraint.
6. The regional comprehensive energy scheduling optimization method based on the CCHP cold storage operation according to claim 2, which is characterized in that: the second optimization model comprises a second objective function with minimum running consumption of the integrated energy system in a typical summer daily area and a second constraint condition for constraining the second objective function;
the second constraint condition comprises a second energy balance constraint, a CCHP cold storage operation constraint, a second unit operation constraint, a second electric energy transmission constraint, a second energy storage operation constraint and a second tide constraint.
7. The regional comprehensive energy scheduling optimization method based on CCHP cold storage operation according to claim 6, wherein the regional comprehensive energy scheduling optimization method based on CCHP cold storage operation is characterized in that: the second objective function is:
wherein C' cs The total consumption of the regional comprehensive energy system in the scheduling period T'; c'. fu (t)、C′ om (t)、C′ ep (t)、C′ en (t) fuel consumption, operation and maintenance consumption, electricity consumption and environment consumption of the comprehensive energy system in the t period region respectively; c'. es (t) the resources obtained by the power supply of the comprehensive energy system in the t period area;
C′ fu (t)＝[P GT (t)+P GT,b (t)]C gas /(η GT H gas )；
C′ ep (t)＝P ep (t)D ep (t)；
C′ es (t)＝P es (t)D es (t)；
wherein P is GT (t) is the gas-electric conversion power of the gas turbine in the period t, P GT,b (t) is the power generated by the gas turbine corresponding to the power of the bromine cold machine to store the cold to the soil in the period of t, C gas Is consumed for natural gas purchasing unit, eta GT For gas turbine gas-electricity conversion efficiency, H gas Is natural gas with low calorific value; n, M is the number of new energy units and adjustable units, P s (t)、P d (t) the operation output force of the (th) group of new energy units and the (d) group of adjustable units in the t period respectively, P k When (t) is tElectric energy storage and release power of section storage battery, K s 、K d 、K k The maintenance consumption of the new energy unit s, the adjustable unit d and the storage battery unit is respectively; p (P) ep (t) is the transmission power of the main network to the regional comprehensive energy system in the period t, D ep (t) the electricity consumption of the comprehensive energy system in the t period zone; e (E) p (P GT (t))、E p (P ep (t)) is the p-th pollutant emission amount, delta of the gas turbine and the electric power addition respectively in the t period p The consumption is treated for the p-th pollutant; q is the number of the pollutant species; p (P) es (t) is the transmission power of the regional comprehensive energy system in the period t to the main network, D es And (t) the power supply price of the comprehensive energy system in the t-period region.
8. The regional comprehensive energy scheduling optimization method based on CCHP cold storage operation according to claim 6, wherein the regional comprehensive energy scheduling optimization method based on CCHP cold storage operation is characterized in that: the second energy balance constraint:
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)；
P LB,c (t)+P HP,c (t)＝P c (t)+P LB,cb (t)；
wherein P is w (t)、P v (t) generating power of the wind turbine generator and generating power of the photovoltaic generator in a t period respectively; p (P) e (t) the electric energy demand load of the comprehensive energy system in the t period zone; p (P) HP (t) electric power to drive GSHP operation for a period of t; p (P) LB,c (t) is the bromine refrigeration power of the t period; p (P) HP,c (t) is the electric cold converted power of the t period GSHP; p (P) c (t) is the system cold energy demand load in the period t; p (P) LB,cb (t) the cold storage power of the bromine cold machine to the soil in the period of t;
the CCHP cold storage operation constraint:
wherein ΔP is the areaIn the annual operation period of the comprehensive energy system, the difference between the soil heat removal quantity and the heat extraction quantity is caused by the uneven operation time of the ground source heat pump; t (T) s For cooling days;
the second unit operation constraint:
P d,min ≤P d (t)≤P d,max ；
wherein P is d,min 、P d,max The minimum output and the maximum output allowed by the adjustable unit d are respectively; p (P) d (t) the operating output force of the group d adjustable unit in the t period;
the second power transfer constraint:
P ep,min ≤P ep (t)≤P ep,max ；
P es,min ≤P es (t)≤P es,max ；
wherein P is ep,min 、P ep,max Minimum power consumption and maximum power consumption allowed by the connecting lines respectively; p (P) es,min 、P es,max The minimum power supply and the maximum power supply allowed by the connecting lines are respectively;
the second stored energy operation constraint:
P k,min ≤P k (t)≤P k,max ；
E k (0)＝E k (T′)；
wherein P is k,min 、P k,max Respectively the minimum and maximum allowable output of the storage battery; e (E) k (0)、E k (T) respectively representing the charge states of the storage battery at the first moment and the last moment;
the second power flow constraint comprises a network power flow consideration power grid power flow constraint and a network power flow consideration air network power flow constraint.
9. A regional comprehensive energy scheduling optimization system based on CCHP cold accumulation operation is characterized in that: the system comprises an energy scheduling optimization model building unit and an energy scheduling optimization executing unit;
the energy scheduling optimization model construction unit is used for constructing an energy scheduling optimization model; the energy scheduling optimization model comprises a first optimization model and a second optimization model;
the energy scheduling optimization execution unit is used for adjusting each parameter value in the energy scheduling optimization model to enable the energy scheduling optimization model to obtain the minimum value, taking the parameter set when the minimum value is obtained as an optimization parameter, utilizing the optimization parameter to schedule and optimize the regional comprehensive energy, enabling the annual heat removal of soil to reach balance, and improving the power consumption peak CCHP power supply capacity in summer.
10. The CCHP cold storage operation-based regional integrated energy scheduling optimization system of claim 1, wherein: the first optimization model comprises a first objective function with minimum running consumption of a winter typical daily regional comprehensive energy system and a first constraint condition for constraining the first objective function;
the first constraint condition comprises a first energy balance constraint, a first unit operation constraint, a first electric energy transmission constraint, a first energy storage operation constraint and a first tide constraint;
the second optimization model comprises a second objective function with minimum running consumption of the integrated energy system in a typical summer daily area and a second constraint condition for constraining the second objective function;
the second constraint condition comprises a second energy balance constraint, a CCHP cold storage operation constraint, a second unit operation constraint, a second electric energy transmission constraint, a second energy storage operation constraint and a second tide constraint.
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