A method and system for implementing an integrated dispatching strategy for wind, light, thermal power and energy storage

Abstract

The present invention discloses a method and system for implementing an integrated dispatching strategy for wind, light, thermal power, and energy storage. Among them, the method includes: setting a medium- and long-term objective function and medium- and long-term constraint conditions for the integrated wind, light, thermal power, and energy storage; and setting a short-term objective function and short-term constraint conditions for the integrated wind, light, thermal power, and energy storage; the wind, light, thermal power, and energy storage perform integrated medium- and long-term dispatching according to the medium- and long-term objective function and medium- and long-term constraint conditions to maximize the proportion of new energy, where the new energy includes wind and light; and the wind, light, thermal power, and energy storage perform integrated short-term dispatching according to the short-term objective function and short-term constraint conditions to minimize the total operating cost of the wind, light, thermal power, and energy storage and the lowest curtailment rate of wind and light. In the present invention, this method can support the integrated operation of large-scale energy bases.

Description

Technical Field

[0001] The present invention relates to the technical field of dispatching, and in particular, to a method and system for executing an integrated dispatching strategy for wind, light, thermal power, and energy storage. Background Art

[0002] With the large-scale development of new energy, the problems of wind and light curtailment in the regional new energy consumption have become increasingly prominent. The integrated wind, light, thermal power, and energy storage model may become the mainstream operation model of large energy bases. The integrated wind, light, thermal power, and energy storage gives priority to the use of clean energy such as wind and light, gives play to the regulation ability of thermal power units, and combines with reasonably configured energy storage facilities to turn the renewable energy with volatility, randomness, and intermittency into a stable and reliable output power source, achieving the effect of complementary characteristics of wind, light, thermal power, and energy storage within a day and reducing the peak shaving demand on the power grid.

[0003] Traditional dispatching methods are limited to separately dispatching individual wind, light, thermal power, and energy storage. When solving the problem of integrated dispatching of wind, light, thermal power, and energy storage, there is a lack of an integrated dispatching strategy, and integrated dispatching cannot be carried out, making it difficult to support the integrated operation of large energy bases.

[0004] In view of the problem in the prior art that it is limited to separately dispatching individual wind, light, thermal power, and energy storage and it is difficult to support the integrated operation of large energy bases, no effective solution has been proposed yet. Summary of the Invention

[0005] An embodiment of the present invention provides a method and system for executing an integrated dispatching strategy for wind, light, thermal power, and energy storage to solve the problem in the prior art that it is limited to separately dispatching individual wind, light, thermal power, and energy storage and it is difficult to support the integrated operation of large energy bases.

[0006] To achieve the above object, on the one hand, the present invention provides a method for executing an integrated dispatching strategy for wind, light, thermal power, and energy storage, the method includes: setting a medium- and long-term objective function and medium- and long-term constraint conditions for the integrated wind, light, thermal power, and energy storage; and setting a short-term objective function and short-term constraint conditions for the integrated wind, light, thermal power, and energy storage; the wind, light, thermal power, and energy storage perform integrated medium- and long-term dispatching according to the medium- and long-term objective function and medium- and long-term constraint conditions to maximize the proportion of new energy, where the new energy includes wind and light; and the wind, light, thermal power, and energy storage perform integrated short-term dispatching according to the short-term objective function and short-term constraint conditions to minimize the total operating cost of the wind, light, thermal power, and energy storage and minimize the wind and light curtailment rate.

[0007] Optionally, the medium- and long-term objective function is:[[]]

[0008]

[0009] Wherein, the P i,t is the power generation of the thermal power unit at time t, the P pw,t is the wind power output at time t, the Ppv,t is the photovoltaic output at time t, and the P ess,t is the charging and discharging power of the energy storage at time t, N is the medium- and long-term time, and max is to find the maximum value.

[0010] Optionally, the medium- and long-term constraint conditions include: medium- and long-term power balance constraint, medium- and long-term thermal power unit constraint, medium- and long-term wind and light output constraint, and medium- and long-term energy storage constraint.

[0011] Optionally, the short-term objective function is:

[0012]

[0013] wherein, the is the operating cost of the thermal power unit at time t, is the operating cost of the wind power at time t, is the operating cost of the photovoltaic at time t, is the operating cost of the energy storage at time t, min is to find the minimum value, and the Z1 is the total operating cost of the wind, light, thermal power, and energy storage.

[0014] Optionally, the operating cost of the thermal power unit at time t, the operating cost of the wind power at time t, the operating cost of the photovoltaic at time t, and the operating cost of the energy storage at time t are calculated according to the following formulas respectively:

[0015]

[0016]

[0017]

[0018]

[0019] wherein, is the operating cost of the thermal power unit at time t, a, b, and c are the cost coefficients of the thermal power unit, and P i,t is the power generation power of the thermal power unit at time t, γ is the ramp cost factor of the thermal power unit, is the start-stop cost of the thermal power unit, and u i,t is the operating state of the thermal power unit at time t, and it is set that 1 means the unit is in the operating state, otherwise it is in the stopped state; is the operating cost of the wind power at time t, is the operating cost of the photovoltaic at time t, is the operating cost of the energy storage at time t, and λ pw , λ pv , λ ps are the unit operation and maintenance costs of the wind power, photovoltaic, and energy storage respectively, and P wind,t is the wind power output at time t, P pv,t is the photovoltaic output at time t, and Pc,t is the charging power of the energy storage at time t, P d,t is the discharging power of the energy storage at time t.

[0020] Optionally, the short-term constraint conditions include: short-term curtailment rate constraints of wind and light, short-term power balance constraints, short-term thermal power unit constraints, short-term wind and light output constraints, and short-term energy storage constraints.

[0021] On the other hand, the present invention provides a wind-solar-thermal-energy storage integrated scheduling strategy execution system, which includes: a setting unit for setting the medium- and long-term objective function and medium- and long-term constraint conditions of wind-solar-thermal-energy storage integration; and setting the short-term objective function and short-term constraint conditions of wind-solar-thermal-energy storage integration; a scheduling unit for performing medium- and long-term integrated scheduling of the wind-solar-thermal-energy storage according to the medium- and long-term objective function and medium- and long-term constraint conditions to maximize the proportion of new energy, where the new energy includes wind and light; and performing short-term integrated scheduling of the wind-solar-thermal-energy storage according to the short-term objective function and short-term constraint conditions to minimize the total operating cost of the wind-solar-thermal-energy storage and the lowest curtailment rate of wind and light.

[0022] Optionally, the medium- and long-term objective function is:

[0023]

[0024] Among them, the P i,t is the power generation power of the thermal power unit at time t, the P pw,t is the wind power output at time t, the P pv,t is the photovoltaic output at time t, the P ess,t is the charge and discharge power of the energy storage at time t, N is the medium- and long-term time, and max is to find the maximum value.

[0025] Optionally, the short-term objective function is:

[0026]

[0027] Among them, the is the operating cost of the thermal power unit at time t, is the operating cost of the wind power at time t, is the operating cost of the photovoltaic at time t, is the operating cost of the energy storage at time t, min is to find the minimum value, and the Z1 is the total operating cost of the wind-solar-thermal-energy storage.

[0028] Optionally, the operating cost of the thermal power unit at time t, the operating cost of the wind power at time t, the operating cost of the photovoltaic at time t, and the operating cost of the energy storage at time t are calculated according to the following formulas respectively:

[0029]

[0030]

[0031]

[0032]

[0033] Among them, is the operating cost of the thermal power unit at time t, a, b, and c are the cost coefficients of the thermal power unit, and P i,t is the power generation power of the thermal power unit at time t, γ is the ramp cost factor of the thermal power unit, is the start-stop cost of the thermal power unit, and u i,t is the operating state of the thermal power unit at time t. It is set that 1 means the unit is in the operating state, otherwise it is in the stopped state; is the operating cost of the wind power at time t, is the operating cost of the photovoltaic power at time t, is the operating cost of the energy storage at time t, and λ pw and λ pv and λ ps are the unit operation and maintenance costs of wind power, photovoltaic power, and energy storage respectively. P wind,t is the wind power output at time t, P pv,t is the photovoltaic power output at time t, P c,t is the charging power of the energy storage at time t, and P d,t is the discharging power of the energy storage at time t.

[0034] Advantages of the present invention:

[0035] The present invention provides a method for implementing an integrated dispatching strategy for wind, light, thermal, and energy storage, which can support the integrated operation of large-scale energy bases. An integrated medium- and long-term dispatching strategy implementation method and an integrated short-term dispatching strategy implementation method are proposed. Among them, the integrated medium- and long-term dispatching strategy method can maximize the proportion of new energy (wind and light), and the integrated short-term dispatching strategy can minimize the total operating cost of wind, light, thermal, and energy storage and the lowest wind and light curtailment rate.

[0036] To make the above and other objects, features, and advantages of the present invention more obvious and understandable, the following specific preferred embodiments are given in conjunction with the accompanying drawings and are described in detail as follows. Description of the Drawings

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0038] Figure 1Flowchart of a method for implementing an integrated wind-solar-thermal-storage dispatching strategy provided by an embodiment of the present invention;

[0039] Figure 2 Schematic structural diagram of an integrated wind-solar-thermal-storage dispatching strategy execution system provided by an embodiment of the present invention. Detailed implementation manners

[0040] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0041] Traditional dispatching methods are limited to separately dispatching individual wind, solar, thermal, and energy storage systems. When solving the problem of integrated wind-solar-thermal-storage dispatching, there is a lack of an integrated dispatching strategy, making it impossible to carry out integrated dispatching and difficult to support the integrated operation of large-scale energy bases.

[0042] Therefore, the present invention provides a method for implementing an integrated wind-solar-thermal-storage dispatching strategy, Figure 1 which is a flowchart of a method for implementing an integrated wind-solar-thermal-storage dispatching strategy provided by an embodiment of the present invention. As Figure 1 shown, the method includes:

[0043] Step S101, setting the medium- and long-term objective function and medium- and long-term constraint conditions for integrated wind-solar-thermal-storage; and setting the short-term objective function and short-term constraint conditions for integrated wind-solar-thermal-storage;

[0044] (1) The medium- and long-term objective function is:

[0045]

[0046] where P i,t is the power generation of the thermal power unit at time t, P pw,t is the wind power output at time t, P pv,t is the photovoltaic output at time t, P ess,t is the charge and discharge power of the energy storage at time t, N is the medium- and long-term time, and max is to find the maximum value.

[0047] The medium- and long-term constraint conditions include: medium- and long-term power balance constraint, medium- and long-term thermal power unit constraint, medium- and long-term wind and solar output constraint, and medium- and long-term energy storage constraint.

[0048] The medium- and long-term power balance constraint is:

[0049] P i，t +P pv，t +Ppw，t +P ess =P l，t

[0050] wherein, the P i，t is the power generation of the thermal power unit at time t, the P pw，t is the wind power output at time t, the P pv，t is the photovoltaic output at time t, the P ess，t is the charge and discharge power of the energy storage at time t, and the P l，t is the total power at time t.

[0051] The medium- and long-term constraints of the thermal power unit are as follows:

[0052] P i，min ≤P i，t ≤P i，max

[0053] -R i，down ·ΔT ≤ P i，t+1 -P i，t ≤R i，up ·ΔT

[0054] wherein, the P i，t is the power generation of the thermal power unit at time t, P i，min is the minimum power generation of the thermal power unit, P i，max is the maximum power generation of the thermal power unit, the P i，t+1 is the power generation of the thermal power unit at time t+1, ΔT is the difference between time t+1 and time t of the thermal power unit, -R i，down is the down-ramp rate of the thermal power unit, and R i，up is the up-ramp rate of the thermal power unit.

[0055] The medium- and long-term constraints of the wind and solar power output are as follows:

[0056]

[0057]

[0058] wherein, the P pw，t is the wind power output at time t, is the upper limit of the wind power output at time t, the P pv，t is the photovoltaic output at time t, is the upper limit of the photovoltaic output at time t.

[0059] The medium- and long-term constraints of the energy storage are as follows:

[0060] SOC min ≤SOC t ≤SOC max

[0061] -P c，min，t ≤P c，ess，t ≤P c，max，t

[0062] -P d，min，t ≤P d，ess，t ≤P d，max，t

[0063] Among them, SOC t is the state of charge of the energy storage at time t, SOC min is the minimum state of charge of the energy storage at time t, SOC max is the maximum state of charge of the energy storage at time t, and the P c，ess，t is the charging power of the energy storage at time t, -P c，min，t is the minimum charging power of the energy storage at time t, P c，max，t is the maximum charging power of the energy storage at time t, P d，ess，t is the discharging power of the energy storage at time t, -P d，min，t is the minimum discharging power of the energy storage at time t, P d，max，t is the maximum discharging power of the energy storage at time t.

[0064] (2) The short-term objective function is:

[0065]

[0066] Among them, the is the operating cost of the thermal power unit at time t, is the operating cost of the wind power at time t, is the operating cost of the photovoltaic power at time t, is the operating cost of the energy storage at time t, min is to find the minimum value, and the Z1 is the total operating cost of the wind-solar-thermal-storage.

[0067] The operating cost of the thermal power unit at time t, the operating cost of the wind power at time t, the operating cost of the photovoltaic power at time t, and the operating cost of the energy storage at time t are calculated according to the following formulas respectively:

[0068]

[0069]

[0070]

[0071]

[0072] Among them, is the operating cost of the thermal power unit at time t, a, b, c are the cost coefficients of the thermal power unit, P i,t is the power generation power of the thermal power unit at time t, γ is the ramp cost factor of the thermal power unit, is the start - up and shut - down cost of the thermal power unit, u i,t is the operating state of the thermal power unit at time t. Set 1 if the unit is in the operating state, otherwise it is in the stopped state; is the operating cost of wind power at time t, is the operating cost of photovoltaic power at time t, is the operating cost of energy storage at time t, λ pw 、λ pv 、λ ps are the unit operation and maintenance costs of wind power, photovoltaic power, and energy storage respectively, P wind,t is the wind power output at time t, P pv,t is the photovoltaic power output at time t, P c,t is the charging power of energy storage at time t, P d,t is the discharging power of energy storage at time t.

[0073] The short - term constraint conditions include: short - term wind and light curtailment rate constraint, short - term power balance constraint, short - term thermal power unit constraint, short - term wind and light output constraint, and short - term energy storage constraint.

[0074] The short - term wind and light curtailment rate constraint is:

[0075]

[0076] Among them, the Z2 is the short - term wind and light curtailment rate, the P i,t is the power generation power of the thermal power unit at time t, the P wind,t is the wind power output at time t, the P pv,t is the photovoltaic power output at time t, the P c,t is the charging power of energy storage at time t, the P d,t is the discharging power of energy storage at time t, the is the wind curtailment power at time t, the is the light curtailment power at time t, and the α is the maximum allowable value controlled by the wind and light curtailment rate.

[0077] The short - term power balance constraint is:

[0078] P i，t +P pv，t +P pw，t +P ess =P l，t

[0079] Among them, the P i，t is the power generation power of the thermal power unit at time t, the P pw，t is the wind power output at time t, the P pv，t is the photovoltaic power output at time t, the P ess，t is the charge - discharge power of energy storage at time t, the Pl，t is the total power at time t.

[0080] The short-term thermal power unit constraints are:

[0081] P i，min ≤ P i，t ≤ P i，max

[0082] -R i，down ·ΔT ≤ P i，t+1 -P i，t ≤ R i，up ·ΔT

[0083] Wherein, the P i，t is the power generation power of the thermal power unit at time t, P i，min is the minimum power generation power of the thermal power unit, P i，max is the maximum power generation power of the thermal power unit, the P i，t+1 is the power generation power of the thermal power unit at time t + 1, ΔT is the difference between time t + 1 and time t of the thermal power unit, -R i，down is the down ramp rate of the thermal power unit, R i，up is the up ramp rate of the thermal power unit.

[0084] The short-term wind and solar power output constraints are:

[0085]

[0086]

[0087] Wherein, the P pw，t is the wind power output at time t, is the upper limit of the wind power output at time t, the P pv，t is the photovoltaic power output at time t, is the upper limit of the photovoltaic power output at time t.

[0088] The short-term energy storage constraints are:

[0089] SOC min ≤ SOC t ≤ SOC max

[0090] -P c，min，t ≤ P c，ess，t ≤ P c，max，t

[0091] -P d，min，t ≤ P d，ess，t ≤ P d，max，t

[0092] Wherein, SOC t is the state of charge of the energy storage at time t, SOCmin The minimum state of charge of the energy storage at time t, SOC max The maximum state of charge of the energy storage at time t, the P c，ess，t The charging power of the energy storage at time t, -P c，min，t The minimum charging power of the energy storage at time t, P c，max，t The maximum charging power of the energy storage at time t, P d,ess,t The discharging power of the energy storage at time t, -P d,min,t The minimum discharging power of the energy storage at time t, P d,max,t The maximum discharging power of the energy storage at time t.

[0093] Step S102, the integrated medium- and long-term scheduling is performed by the wind-solar-thermal-storage according to the medium- and long-term objective function and medium- and long-term constraint conditions to maximize the proportion of new energy, where the new energy includes wind and solar; and the integrated short-term scheduling is performed by the wind-solar-thermal-storage according to the short-term objective function and short-term constraint conditions to minimize the total operating cost and the minimum wind and light abandonment rates of the wind-solar-thermal-storage.

[0094] Figure 2 This is an execution system for an integrated wind-solar-thermal-storage scheduling strategy provided by an embodiment of the present invention. The system includes:

[0095] A setting unit 201 for setting the integrated medium- and long-term objective function and medium- and long-term constraint conditions of the wind-solar-thermal-storage; and setting the integrated short-term objective function and short-term constraint conditions of the wind-solar-thermal-storage;

[0096] (1) The medium- and long-term objective function is:

[0097]

[0098] Wherein, the P i,t Is the power generation power of the thermal power unit at time t, the P pw,t Is the wind power output at time t, the P pv,t Is the photovoltaic power output at time t, the P ess,t Is the charge and discharge power of the energy storage at time t, N is the medium- and long-term time, and max is to find the maximum value.

[0099] The medium- and long-term constraint conditions include: medium- and long-term power balance constraint, medium- and long-term thermal power unit constraint, medium- and long-term wind and solar output constraint, medium- and long-term energy storage constraint.

[0100] The medium- and long-term power balance constraint is:

[0101] P i,t +P pv,t +P pw,t +P ess =P l,t

[0102] Among them, the i,t P is the power generation power of the thermal power unit at time t, and the pw,t P is the wind power output at time t, and the pv,t P is the photovoltaic output at time t, and the ess,t P is the charge and discharge power of the energy storage at time t, and the l,t P is the total power at time t.

[0103] The medium- and long-term constraints of the thermal power unit are:

[0104] P i,min ≤P i,t ≤P i,max

[0105] -R i,down ·ΔT ≤ P i,t+1 -P i,t ≤R i,up ·ΔT

[0106] Among them, the i，t P is the power generation power of the thermal power unit at time t, P i，min is the minimum power generation power of the thermal power unit, P i，max is the maximum power generation power of the thermal power unit, and the i，t+1 P is the power generation power of the thermal power unit at time t + 1, ΔT is the difference between time t + 1 and time t of the thermal power unit, and -R i，down is the down-ramp rate of the thermal power unit, and R i，up is the up-ramp rate of the thermal power unit.

[0107] The medium- and long-term constraints of the wind and light output are:

[0108]

[0109]

[0110] Among them, the pw，t P is the wind power output at time t, is the upper limit of the wind power output at time t, and the Pp v，t is the photovoltaic output at time t, is the upper limit of the photovoltaic output at time t.

[0111] The medium- and long-term constraints of the energy storage are:

[0112] SOC min ≤SOC t ≤SOC max

[0113] -P c，min，t ≤P c，ess，t ≤P c，max，t

[0114] -P d，min，t ≤P d，ess，t≤ P d，max，t

[0115] where SOC t is the state of charge of the energy storage at time t, SOC min is the minimum state of charge of the energy storage at time t, SOC max is the maximum state of charge of the energy storage at time t, and the P c，ess，t is the charging power of the energy storage at time t, -P c，min，t is the minimum charging power of the energy storage at time t, P c，max，t is the maximum charging power of the energy storage at time t, P d，ess，t is the discharging power of the energy storage at time t, -P d，min，t is the minimum discharging power of the energy storage at time t, P d，max，t is the maximum discharging power of the energy storage at time t.

[0116] (2) The short-term objective function is:

[0117]

[0118] where the is the operating cost of the thermal power unit at time t, is the operating cost of the wind power at time t, is the operating cost of the photovoltaic power at time t, is the operating cost of the energy storage at time t, min is to find the minimum value, and the Z1 is the total operating cost of the wind-solar-thermal-energy storage.

[0119] The operating cost of the thermal power unit at time t, the operating cost of the wind power at time t, the operating cost of the photovoltaic power at time t, and the operating cost of the energy storage at time t are calculated according to the following formulas respectively:

[0120]

[0121]

[0122]

[0123]

[0124] where is the operating cost of the thermal power unit at time t, a, b, c are the cost coefficients of the thermal power unit, P i,t is the power generation power of the thermal power unit at time t, γ is the ramp cost factor of the thermal power unit, is the start-stop cost of the thermal power unit, u i,tLet \(S_t\) be the operating state of the thermal power unit at time \(t\). Set \(S_t = 1\) if the unit is in the operating state; otherwise, \(S_t = 0\). Let \(C_{wt}\) be the operating cost of wind power at time \(t\). Let \(C_{pt}\) be the operating cost of photovoltaic power at time \(t\). Let \(C_{et}\) be the operating cost of energy storage at time \(t\), and \(\lambda_w\), pw \(\lambda_p\), pv \(\lambda_e\) ps be the unit operation and maintenance costs of wind power, photovoltaic power, and energy storage respectively. Let \(P_{wt}\) wind,t be the wind power output at time \(t\), \(P_{pt}\) pv,t be the photovoltaic power output at time \(t\), and \(P_{ct}\) c,t be the charging power of energy storage at time \(t\), and \(P_{dt}\) d,t be the discharging power of energy storage at time \(t\).

[0125] The short - term constraint conditions include: short - term wind and light curtailment rate constraints, short - term power balance constraints, short - term thermal power unit constraints, short - term wind and light output constraints, and short - term energy storage constraints.

[0126] The short - term wind and light curtailment rate constraint is:

[0127]

[0128] where \(Z_2\) is the short - term wind and light curtailment rate, \(P_{gt}\) i,t is the power generation of the thermal power unit at time \(t\), \(P_{wt}\) wind,t is the wind power output at time \(t\), \(P_{pt}\) pv,t is the photovoltaic power output at time \(t\), \(P_{ct}\) c,t is the charging power of energy storage at time \(t\), \(P_{dt}\) d,t is the discharging power of energy storage at time \(t\), \(P_{wcur}\) is the wind curtailment power at time \(t\), \(P_{pcur}\) is the light curtailment power at time \(t\), and \(\alpha\) is the maximum allowable value for controlling the wind and light curtailment rate.

[0129] The short - term power balance constraint is:

[0130] \(P_{gt}+P_{wt}+P_{pt}+P_{et}=P_{total}\) i,t +\(P_{ct}\) pv,t +\(P_{dt}\) pw,t +\(P_{et}\) ess =\(P_{total}\) l,t

[0131] where \(P_{gt}\) i,t is the power generation of the thermal power unit at time \(t\), \(P_{wt}\) pw,t is the wind power output at time \(t\), \(P_{pt}\) pv,t is the photovoltaic power output at time \(t\), \(P_{et}\) ess,t is the charge - discharge power of energy storage at time \(t\), and \(P_{total}\) l，t is the total power at time \(t\).

[0132] The short-term constraints of thermal power units are as follows:

[0133] P i，min ≤P i，t ≤P i，max

[0134] -R i，down ·ΔT ≤ P i，t+1 -P i，t ≤R i，up ·ΔT

[0135] Among them, the P i，t is the power generation of the thermal power unit at time t, P i，min is the minimum power generation of the thermal power unit, P i，max is the maximum power generation of the thermal power unit, the P i，t+1 is the power generation of the thermal power unit at time t + 1, ΔT is the difference between time t + 1 and time t of the thermal power unit, -R i，down is the down-ramp rate of the thermal power unit, R i，up is the up-ramp rate of the thermal power unit.

[0136] The short-term constraints of wind and solar power output are as follows:

[0137]

[0138]

[0139] Among them, the P pw，t is the wind power output at time t, is the upper limit of wind power output at time t, the P pv，t is the photovoltaic power output at time t, is the upper limit of photovoltaic power output at time t.

[0140] The short-term constraints of energy storage are as follows:

[0141] SOC min ≤SOC t ≤SOC max

[0142] -P c，min，t ≤P c，ess，t ≤P c，max，t

[0143] -P d，min，t ≤P d，ess，t ≤P d，max，t

[0144] Among them, SOC t is the state of charge of the energy storage at time t, SOC min is the minimum state of charge of the energy storage at time t, SOCmax The maximum state of charge of the energy storage at time t, where P c，ess，t is the charging power of the energy storage at time t, -P c，min，t is the minimum charging power of the energy storage at time t, P c，max，t is the maximum charging power of the energy storage at time t, P d，ess，t is the discharging power of the energy storage at time t, -P d，min，t is the minimum discharging power of the energy storage at time t, P d，max，t is the maximum discharging power of the energy storage at time t.

[0145] The scheduling unit 202 is configured to perform integrated medium- and long-term scheduling of the wind-solar-thermal-storage according to the medium- and long-term objective function and medium- and long-term constraint conditions, so as to maximize the proportion of new energy, where the new energy includes wind and solar; and perform integrated short-term scheduling of the wind-solar-thermal-storage according to the short-term objective function and short-term constraint conditions, so as to minimize the total operating cost and the lowest curtailment rate of wind and solar of the wind-solar-thermal-storage.

[0146] The present invention also provides an integrated evaluation index, including the wind power and photovoltaic accommodation rate indexes, which can effectively measure the improvement of the new energy accommodation capacity during integrated scheduling, and is of great significance for solving the problems of wind curtailment and light curtailment in large-scale energy bases.

[0147] Specifically, the integrated evaluation index is selected as the new energy accommodation rate to measure. In the integrated scheduling of wind-solar-thermal-storage, the new energy accommodation rate includes the wind power accommodation rate and the photovoltaic accommodation rate, and the calculation method is as follows:

[0148] S RE (t)=β1rate w (t)+β2rate s (t)

[0149] Wherein, S RE (t) is the new energy consumption rate at time t, rate w (t) is the wind power accommodation rate at time t; rate s (t) is the photovoltaic accommodation rate at time t; β1 is the calculation weight of wind power when measuring the new energy accommodation rate; β2 is the calculation weight of photovoltaic when measuring the new energy accommodation rate; the value ranges of β1 and β2 are between 0 and 1.

[0150] Advantages of the present invention:

[0151] The present invention provides a method for implementing an integrated scheduling strategy of wind-solar-thermal-storage, which can support the integrated operation of large-scale energy bases. An integrated medium- and long-term scheduling strategy implementation method and an integrated short-term scheduling strategy implementation method are proposed. Among them, the integrated medium- and long-term scheduling strategy method can maximize the proportion of new energy (wind and solar), and the integrated short-term scheduling strategy can minimize the total operating cost and the lowest curtailment rate of wind and solar of the wind-solar-thermal-storage.

[0152] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0153] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0154] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means realizes the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0155] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0156] Specific embodiments are applied in the present invention to elaborate on the principles and implementation manners of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A method for implementing an integrated dispatching strategy for wind, light, thermal power, and energy storage, characterized in that, Including: Setting a medium- and long-term objective function and medium- and long-term constraint conditions for integrated wind-solar-thermal-energy storage; And setting a short-term objective function and short-term constraint conditions for integrated wind-solar-thermal-energy storage; The wind-solar-thermal-energy storage conducts integrated medium- and long-term scheduling according to the medium- and long-term objective function and medium- and long-term constraint conditions to maximize the proportion of new energy, where the new energy includes wind and solar; and the wind-solar-thermal-energy storage conducts integrated short-term scheduling according to the short-term objective function and short-term constraint conditions to minimize the total operating cost of the wind-solar-thermal-energy storage and the lowest curtailment rate of wind and solar; The medium- and long-term objective function is: Among them, the is the power generation of the thermal power unit at time t, the is the wind power output at time t, the is the photovoltaic output at time t, the is the charge and discharge power of the energy storage at time t, is the medium- and long-term time, is to find the maximum value; The short-term objective function is: Among them, the is the operating cost of the thermal power unit at time t, is the operating cost of the wind power at time t, is the operating cost of the photovoltaic power at time t, is the operating cost of the energy storage at time t, is to find the minimum value, and the is the total operating cost of the wind, light, fire, and storage; The operating cost of the thermal power unit at time t, the operating cost of the wind power at time t, the operating cost of the photovoltaic power at time t, and the operating cost of the energy storage at time t are calculated according to the following formulas respectively: Among them, is the operating cost of the thermal power unit at time t, a, b, and c are the cost coefficients of the thermal power unit, is the power generation of the thermal power unit at time t, and γ is the ramp cost factor of the thermal power unit, is the start-stop cost of the thermal power unit, is the operating state of the thermal power unit at time t. It is set that 1 means the unit is in the operating state, otherwise it is in the stopped state; is the operating cost of wind power at time t, is the operating cost of photovoltaic at time t, is the operating cost of energy storage at time t, , , are the unit operation and maintenance costs of wind power, photovoltaic, and energy storage respectively, is the wind power output at time t, is the photovoltaic output at time t, is the charging power of energy storage at time t, is the discharging power of energy storage at time t.

2. The method according to claim 1, characterized in that: The medium- and long-term constraint conditions include: medium- and long-term power balance constraint, medium- and long-term thermal power unit constraint, medium- and long-term wind-solar output constraint, medium- and long-term energy storage constraint.

3. The method according to claim 1, characterized in that: The short-term constraint conditions include: short-term curtailment rate of wind and solar constraint, short-term power balance constraint, short-term thermal power unit constraint, short-term wind-solar output constraint, short-term energy storage constraint.

4. An integrated dispatching strategy execution system for wind, light, thermal power and energy storage, characterized in that Including: A setting unit for setting a medium- and long-term objective function and medium- and long-term constraint conditions for integrated wind-solar-thermal-energy storage; And setting a short-term objective function and short-term constraint conditions for integrated wind-solar-thermal-energy storage; A scheduling unit for the wind-solar-thermal-energy storage to conduct integrated medium- and long-term scheduling according to the medium- and long-term objective function and medium- and long-term constraint conditions to maximize the proportion of new energy, where the new energy includes wind and solar; and the wind-solar-thermal-energy storage to conduct integrated short-term scheduling according to the short-term objective function and short-term constraint conditions to minimize the total operating cost of the wind-solar-thermal-energy storage and the lowest curtailment rate of wind and solar; The medium- and long-term objective function is: Among them, the is the power generation of the thermal power unit at time t, the is the wind power output at time t, the is the photovoltaic output at time t, the is the charge and discharge power of the energy storage at time t, is the medium- and long-term time, is to find the maximum value; The short-term objective function is: Among them, the is the operating cost of the thermal power unit at time t, is the operating cost of the wind power at time t, is the operating cost of the photovoltaic power at time t, is the operating cost of the energy storage at time t, is to find the minimum value, and the is the total operating cost of the wind, light, fire and energy storage; The operating cost of the thermal power unit at time t, the operating cost of the wind power at time t, the operating cost of the photovoltaic power at time t, and the operating cost of the energy storage at time t are calculated according to the following formulas respectively: Among them, is the operating cost of the thermal power unit at time t, where a, b, and c are the cost coefficients of the thermal power unit, is the power generation of the thermal power unit at time t, and γ is the ramp cost factor of the thermal power unit, is the start-stop cost of the thermal power unit, is the operating state of the thermal power unit at time t. It is set that 1 indicates the unit is in the operating state, otherwise it is in the stopped state; is the operating cost of the wind power at time t, is the operating cost of the photovoltaic at time t, is the operating cost of the energy storage at time t, , , are the unit operation and maintenance costs of wind power, photovoltaic, and energy storage respectively, is the wind power output at time t, is the photovoltaic output at time t, is the charging power of the energy storage at time t, is the discharging power of the energy storage at time t.

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