A method and device for optimizing and dispatching renewable energy power generation in a regional power grid

Abstract

The present invention relates to a method and apparatus for optimizing the dispatch of renewable energy power generation in a regional power grid. The method comprises: constructing an aggregation structure corresponding to the regional power grid based on the planned transmission capacity of each interconnection line of the regional power grid obtained from the dispatch center of the regional power grid; calculating the optimal renewable energy generation capacity of each aggregation node in the aggregation structure corresponding to the regional power grid; and determining a regional renewable energy consumption target value based on the optimal renewable energy generation capacity of each aggregation node in the aggregation structure corresponding to the regional power grid, and transmitting the result to the dispatch center of the regional power grid. The technical solution provided by the present invention can accurately calculate the regional renewable energy consumption target value by obtaining the operating data of the regional power grid, thereby ensuring the safe and stable operation of the regional power grid.

Description

Technical Field

[0001] The present invention relates to the field of renewable energy power generation planning and dispatching operation, and in particular to a method and device for optimizing the dispatching of renewable energy power generation in a regional power grid. Background Art

[0002] In recent years, wind power, photovoltaic power generation, and other new energy installations have grown rapidly. The rapid development of renewable energy has promoted the optimization of the energy structure. However, with the rapid development of renewable energy, the contradiction of unbalanced development of renewable energy has become increasingly prominent. Due to the constraints of power supply structure, grid structure, load characteristics, and the uncertainty of wind power and photovoltaic output, the stability of renewable energy generation has become increasingly prominent and has become the biggest obstacle to the development of new energy.

[0003] At present, in the process of energy structure transformation and clean power development, new energy is still the main force of power development. However, new energy power generation is random, intermittent and volatile. In the future, there will be great challenges to the balance of power consumption with a high proportion of new energy. Summary of the Invention

[0004] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide a method and device for optimizing the scheduling of renewable energy power generation in a regional power grid, which can accurately calculate the target value of renewable energy consumption in the region and ensure the safe operation of the regional power grid.

[0005] The purpose of the present invention is achieved by adopting the following technical solutions:

[0006] The present invention provides a method for optimizing and dispatching renewable energy power generation in a regional power grid, wherein the method comprises:

[0007] Constructing an aggregation structure corresponding to the regional power grid according to the planned transmission capacity of each tie line of the regional power grid obtained from the dispatching center of the regional power grid;

[0008] Calculate the optimal renewable energy generation capacity of each aggregation node in the aggregation structure corresponding to the regional power grid;

[0009] The regional new energy consumption target value is determined based on the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid, and is sent to the dispatching center of the regional power grid.

[0010] Preferably, the step of constructing an aggregation structure corresponding to the regional power grid according to the planned transmission capacity of each tie line of the regional power grid obtained from the dispatching center of the regional power grid includes:

[0011] If the planned transmission capacity of the xth tie line in the regional power grid at any time during the target period exceeds the maximum transmission capacity of the xth tie line, then the xth tie line is regarded as the boundary line of the regional power grid;

[0012] Divide the regional power grid into N sub-regional power grids based on the boundary line of the regional power grid;

[0013] Equivalently treating the N sub-regional power grids as N aggregation nodes;

[0014] Among them, x∈(1~S L ), S L is the total number of interconnection lines in the regional power grid.

[0015] Preferably, the calculating of the optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes:

[0016] The objective function of power grid optimization calculation is established with the goal of maximizing the renewable energy power generation of the regional power grid;

[0017] Solve the grid optimization calculation objective function that meets the constraint conditions to obtain the optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid.

[0018] Furthermore, the objective function of power grid optimization calculation is established as follows:

[0019]

[0020] In the above formula: P is the renewable energy power generation of the regional power grid, P w (t,n) is the total power generation output of wind turbines at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, P pv (t,n) is the total power generation output of the PV units at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, n∈(1~N), N is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, t∈(1~T), T is the total number of moments in the target period.

[0021] Furthermore, the constraints of the grid optimization calculation objective function include: the rotating reserve capacity constraints of the aggregation structure corresponding to the regional grid, the load balance constraints of the aggregation structure corresponding to the regional grid, the transmission capacity constraints of the interconnection lines in the aggregation structure corresponding to the regional grid, the output constraints of conventional units in the aggregation structure corresponding to the regional grid, the optimized output ramp rate constraints of conventional units in the aggregation structure corresponding to the regional grid, the operating number constraints of conventional units in the aggregation structure corresponding to the regional grid, the output constraints of back-pressure units in conventional units in the aggregation structure corresponding to the regional grid, the output constraints of steam extraction units in conventional units in the aggregation structure corresponding to the regional grid, the operation constraints of hydropower units in the aggregation structure corresponding to the regional grid, the reservoir capacity limit constraints of the pumped-storage power station in the aggregation structure corresponding to the regional grid, the power generation output constraints of the pumped-storage power station in the aggregation structure corresponding to the regional grid, the power generation output constraints of photovoltaic units in the aggregation structure corresponding to the regional grid, and the power generation output constraints of wind turbine units in the aggregation structure corresponding to the regional grid.

[0022] Preferably, the optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes the optimal total power output of all photovoltaic units and the optimal total power output of all wind turbine units in the corresponding aggregation node;

[0023] The optimization of the regional new energy consumption target value based on the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes:

[0024] According to the optimal total power output of all photovoltaic units in each aggregation node, the target power generation value P of the photovoltaic units in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: zong,pv,T The target value β of the power restriction rate of the photovoltaic unit in the target period in the renewable energy power generation constraint scheme of the regional power grid pv,T :

[0025]

[0026]

[0027] According to the optimal total power output of all wind turbines in each aggregation node, the target power generation capacity P of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: zong,w,T The target value β of the power restriction rate of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid w,T :

[0028]

[0029]

[0030] In the above formula, P h,pv (t,n) is the optimal total power output of the photovoltaic unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, is the total predicted value of the maximum power generation of the photovoltaic unit at the tth moment in the target period at the nth aggregation node in the aggregation structure corresponding to the regional power grid, P h,w (t,n) is the optimal total power output of wind turbines at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period. is the total predicted value of the maximum power generation of the wind turbine at the t-th moment in the target period at the n-th aggregation node in the aggregation structure corresponding to the regional power grid, n∈(1~N), N is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, t∈(1~T), T is the total number of moments in the target period.

[0031] The present invention provides a device for optimizing and dispatching renewable energy power generation in a regional power grid, wherein the device comprises:

[0032] A construction module, configured to construct an aggregation structure corresponding to the regional power grid according to the planned transmission capacity of each tie line of the regional power grid obtained from the dispatching center of the regional power grid;

[0033] A calculation module is used to calculate the optimal renewable energy generation of each aggregation node in the aggregation structure corresponding to the regional power grid;

[0034] The optimization module is used to determine the regional new energy consumption target value based on the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid, and send it to the dispatching center of the regional power grid.

[0035] Preferably, the building blocks include:

[0036] The demarcation unit is used for the case where the planned transmission capacity of the xth tie line in the regional power grid at any time during the target period exceeds the maximum transmission capacity of the xth tie line, then the xth tie line is regarded as the demarcation line of the regional power grid;

[0037] a division unit, configured to divide the regional power grid into N sub-regional power grids based on a boundary line of the regional power grid;

[0038] An equivalent unit, configured to convert the N sub-regional power grids into N aggregation nodes;

[0039] Among them, x∈(1~S L ), S L is the total number of interconnection lines in the regional power grid.

[0040] Preferably, the calculation module includes:

[0041] Establishing a unit for establishing a power grid optimization calculation objective function with the goal of maximizing the renewable energy power generation of the regional power grid;

[0042] The acquisition unit is used to solve the power grid optimization calculation objective function that meets the constraint conditions and obtain the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid.

[0043] Furthermore, the objective function of power grid optimization calculation is established as follows:

[0044]

[0045] In the above formula: P is the renewable energy power generation of the regional power grid, P w (t,n) is the total power generation output of wind turbines at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, P pv (t,n) is the total power generation output of the PV units at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, n∈(1~N), N is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, t∈(1~T), T is the total number of moments in the target period.

[0046] Furthermore, the constraints of the grid optimization calculation objective function include: the rotating reserve capacity constraints of the aggregation structure corresponding to the regional grid, the load balance constraints of the aggregation structure corresponding to the regional grid, the transmission capacity constraints of the interconnection lines in the aggregation structure corresponding to the regional grid, the output constraints of conventional units in the aggregation structure corresponding to the regional grid, the optimized output ramp rate constraints of conventional units in the aggregation structure corresponding to the regional grid, the operating number constraints of conventional units in the aggregation structure corresponding to the regional grid, the output constraints of back-pressure units in conventional units in the aggregation structure corresponding to the regional grid, the output constraints of steam extraction units in conventional units in the aggregation structure corresponding to the regional grid, the operation constraints of hydropower units in the aggregation structure corresponding to the regional grid, the reservoir capacity limit constraints of the pumped-storage power station in the aggregation structure corresponding to the regional grid, the power generation output constraints of the pumped-storage power station in the aggregation structure corresponding to the regional grid, the power generation output constraints of photovoltaic units in the aggregation structure corresponding to the regional grid, and the power generation output constraints of wind turbine units in the aggregation structure corresponding to the regional grid.

[0047] Preferably, the optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes the optimal total power output of all photovoltaic units and the optimal total power output of all wind turbine units in the corresponding aggregation node;

[0048] The optimization of the regional new energy consumption target value based on the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes:

[0049] According to the optimal total power output of all photovoltaic units in each aggregation node, the target power generation value P of the photovoltaic units in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: zong,pv,T The target value β of the power restriction rate of the photovoltaic unit in the target period in the renewable energy power generation constraint scheme of the regional power grid pv,T :

[0050]

[0051]

[0052] According to the optimal total power output of all wind turbines in each aggregation node, the target power generation capacity P of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: zong,w,T The target value β of the power restriction rate of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid w,T :

[0053]

[0054]

[0055] In the above formula, P h,pv (t,n) is the optimal total power output of the photovoltaic unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, is the total predicted value of the maximum power generation of the photovoltaic unit at the tth moment in the target period at the nth aggregation node in the aggregation structure corresponding to the regional power grid, P h,w (t,n) is the optimal total power output of wind turbines at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period. is the total predicted value of the maximum power generation of the wind turbine at the t-th moment in the target period at the n-th aggregation node in the aggregation structure corresponding to the regional power grid, n∈(1~N), N is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, t∈(1~T), T is the total number of moments in the target period.

[0056] Compared with the closest prior art, the present invention has the following beneficial effects:

[0057] The present invention provides a method and apparatus for optimizing the dispatch of renewable energy power generation in a regional power grid. The method constructs an aggregation structure corresponding to the regional power grid based on the planned transmission capacity of each interconnection line in the regional power grid obtained from the regional power grid's dispatch center. The method calculates the optimal renewable energy generation capacity of each aggregation node in the aggregation structure corresponding to the regional power grid. The method then determines the regional renewable energy consumption target value based on the optimal renewable energy generation capacity of each aggregation node in the aggregation structure corresponding to the regional power grid, and transmits the result to the dispatch center of the regional power grid. The technical solution provided by the present invention accurately calculates the regional renewable energy consumption target value by acquiring the operating data of the regional power grid, thereby improving the power and electricity balance capability of renewable energy consumption and ensuring the safe and stable operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 This is a flow chart of a method for optimizing and dispatching renewable energy power generation in a regional power grid provided by the present invention;

[0059] Figure 2 This is a structural diagram of a new energy power generation optimization and scheduling device for a regional power grid provided by the present invention. DETAILED DESCRIPTION

[0060] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0062] In actual working conditions, the power generation target value and the power limit rate target value obtained by the present invention can be used to control the power generation of each new energy unit in the regional power grid.

[0063] The present invention provides a method for optimizing the dispatch of renewable energy power generation in a regional power grid. Figure 1 As shown, the method includes:

[0064] Constructing an aggregation structure corresponding to the regional power grid according to the planned transmission capacity of each tie line of the regional power grid obtained from the dispatching center of the regional power grid;

[0065] Calculate the optimal renewable energy generation capacity of each aggregation node in the aggregation structure corresponding to the regional power grid;

[0066] The regional new energy consumption target value is determined based on the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid, and is sent to the dispatching center of the regional power grid.

[0067] In a preferred embodiment of the present invention, the step of constructing an aggregation structure corresponding to the regional power grid according to the planned transmission capacity of each tie line of the regional power grid obtained from the dispatching center of the regional power grid includes:

[0068] If the planned transmission capacity of the xth tie line in the regional power grid at any time during the target period exceeds the maximum transmission capacity of the xth tie line, then the xth tie line is regarded as the boundary line of the regional power grid;

[0069] Divide the regional power grid into N sub-regional power grids based on the boundary line of the regional power grid;

[0070] Equivalently treating the N sub-regional power grids as N aggregation nodes;

[0071] Among them, x∈(1~S L ), S L is the total number of interconnection lines in the regional power grid.

[0072] In a preferred embodiment of the present invention, the step of calculating the optimal renewable energy generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes:

[0073] The objective function of power grid optimization calculation is established with the goal of maximizing the renewable energy power generation of the regional power grid;

[0074] Solve the grid optimization calculation objective function that meets the constraint conditions to obtain the optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid.

[0075] Furthermore, the objective function of power grid optimization calculation is established as follows:

[0076]

[0077] In the above formula: P is the renewable energy power generation of the regional power grid, P w (t,n) is the total power generation output of wind turbines at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, P pv (t,n) is the total power generation output of the PV units at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, n∈(1~N), N is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, t∈(1~T), T is the total number of moments in the target period.

[0078] Furthermore, the constraints of the grid optimization calculation objective function include: the rotating reserve capacity constraints of the aggregation structure corresponding to the regional grid, the load balance constraints of the aggregation structure corresponding to the regional grid, the transmission capacity constraints of the interconnection lines in the aggregation structure corresponding to the regional grid, the output constraints of conventional units in the aggregation structure corresponding to the regional grid, the optimized output ramp rate constraints of conventional units in the aggregation structure corresponding to the regional grid, the operating number constraints of conventional units in the aggregation structure corresponding to the regional grid, the output constraints of back-pressure units in conventional units in the aggregation structure corresponding to the regional grid, the output constraints of steam extraction units in conventional units in the aggregation structure corresponding to the regional grid, the operation constraints of hydropower units in the aggregation structure corresponding to the regional grid, the reservoir capacity limit constraints of the pumped-storage power station in the aggregation structure corresponding to the regional grid, the power generation output constraints of the pumped-storage power station in the aggregation structure corresponding to the regional grid, the power generation output constraints of photovoltaic units in the aggregation structure corresponding to the regional grid, and the power generation output constraints of wind turbine units in the aggregation structure corresponding to the regional grid.

[0079] In the preferred embodiment of the present invention, the spinning reserve capacity constraint condition of the aggregated structure corresponding to the regional power grid is determined as follows:

[0080]

[0081] In the above formula: P re is the positive spinning reserve capacity of the aggregated structure corresponding to the regional power grid, N re is the negative spinning reserve capacity of the aggregated structure corresponding to the regional power grid, P f (t,n) is the predicted power load of the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, P m,max (t,n) is the maximum power generation technical output of the mth type conventional unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, P m,min (t,n) is the minimum power generation technical output of the mth type conventional unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, S m (t,n) is the number of conventional units of type m started at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, m∈(1~M), M is the number of types of conventional units in the aggregation structure corresponding to the regional power grid;

[0082] The load balancing constraints of the aggregation structure corresponding to the regional power grid are determined as follows:

[0083]

[0084] In the above formula: HP(t,n) is the hydropower generation output of the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, TP(t,n) is the pumped storage power station generation output of the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, P A (t,n) is the output of the nuclear power unit at the tth moment in the target period at the nth aggregation node in the aggregation structure corresponding to the regional power grid, L i (t) is the transmission power of the i-th tie line in the aggregation structure corresponding to the regional power grid at the t-th moment of the target period, i∈(1~I n ), I n is the total number of tie lines in the aggregation structure corresponding to the regional power grid;

[0085] The transmission capacity constraints of the tie lines in the aggregation structure corresponding to the regional power grid are determined as follows:

[0086] -L i,max ≤L i (t)≤L i,max

[0087] In the above formula: L i,max is the upper limit of the transmission capacity of the i-th tie line in the aggregation structure corresponding to the regional power grid;

[0088] The output constraints of conventional units in the aggregation structure corresponding to the regional power grid are determined as follows:

[0089] 0≤ΔP m (t,n)≤[P m,max (t,n)-P m,min (t,n)]·S m (t,n)

[0090] P m (t,n)=P m,min (t,n)·S m (t,n)+ΔP m (t,n)

[0091] In the above formula: ΔP m (t,n) is the optimized power generation output of the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period;

[0092] Determine the optimal output ramp rate constraint of conventional units in the aggregation structure corresponding to the regional power grid according to the following formula:

[0093] P m (t+1,n)-P m (t,n)≤ΔP m,up (n)

[0094] Pm (t,n)-P m (t+1,n)≤ΔP m,down (n)

[0095] In the above formula: ΔP m,up (n) is the maximum ramp rate of the mth type conventional unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid, ΔP m,down (n) is the maximum ramp rate of the mth type conventional unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid, P m (t+1,n) is the power generation output of the mth type conventional unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the t-1th time in the target period;

[0096] The constraint condition on the number of conventional units in operation in the aggregation structure corresponding to the regional power grid is determined as follows:

[0097] 0≤S m (t,n)≤S m.max (n)

[0098] In the above formula: S m.max (n) is the total number of conventional units of type m at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period;

[0099] The output constraints of the back-pressure units in the conventional units in the aggregation structure corresponding to the regional power grid are determined as follows:

[0100] P BY (t,n)=C b Q BY (t,n)

[0101] In the above formula, P BY (t,n) is the power generation output of the backpressure unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, C b is the proportional coefficient of the back pressure unit's power output and heat output, Q BY (t,n) is the heating output of the backpressure unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period;

[0102] The output constraints of the extraction steam units in the conventional units in the aggregation structure corresponding to the regional power grid are determined as follows:

[0103] Q CQ (t,n)·C b '≤P CQ (t,n)≤P CQ,max (t,n)-Q CQ (t,n)·C v

[0104] In the above formula: P CQ (t,n) is the power generation output of the pumping unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, Q CQ (t,n) is the heating output of the extraction unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, C b ' is the first proportional coefficient of the power generation output and heat supply output of the extraction steam unit, C v The second proportional coefficient of the power generation output and heat supply output of the extraction steam unit;

[0105] The operating constraints of hydropower units in the aggregation structure corresponding to the regional power grid are determined as follows:

[0106] HP min ≤HP(t,n)≤HP max

[0107] In the above formula: HP min The minimum power generation technology output, HP of the aggregated structure hydropower unit corresponding to the regional power grid max The maximum technical power generation output of the aggregated hydropower units corresponding to the regional power grid;

[0108] The capacity constraint of the pumped storage power station reservoir in the aggregation structure corresponding to the regional power grid is determined as follows:

[0109] C ap，min (n)≤C ap，ini (t-1,n)-TP(t,n)≤C ap，max (n)

[0110] In the above formula: C ap，max (n) is the upper limit of the capacity of the pumped storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid, C ap，min (n) is the lower limit of the capacity of the pumped storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid, C ap，ini (t-1,n) is the reservoir capacity of the pumped storage power station at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the t-1th moment in the target period;

[0111] The power output constraints of the pumped storage power station in the aggregation structure corresponding to the regional power grid are determined as follows:

[0112]

[0113] In the above formula: is the minimum power generation output of the pumped storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid, is the maximum power generation output of the pumped storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid, is the minimum pumping power of the pumped storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid, is the maximum pumping power of the pumped-storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid, a(t,n) is the pumping state of the pumped-storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid, if a(t,n)=1, the pumped-storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid is in the pumping state, otherwise, the pumped-storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid is in the non-pumping state, b(t,n) is the power generation state of the pumped-storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid, if b(t,n)=1, the pumped-storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid is in the power generation state, otherwise, the pumped-storage power station reservoir at the nth aggregation node in the aggregation structure corresponding to the regional power grid is in the non-power generation state;

[0114] Determine the power generation output constraints of photovoltaic units in the aggregation structure corresponding to the regional power grid according to the following formula:

[0115]

[0116] In the above formula: is the predicted maximum power generation value of the photovoltaic unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period;

[0117] Determine the power output constraints of wind turbines in the aggregated structure corresponding to the regional power grid according to the following formula:

[0118]

[0119] In the above formula: It is the predicted value of the maximum power generation of the wind turbine at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period.

[0120] In a preferred embodiment of the present invention, the positive and negative spinning reserve capacities of the aggregation structure corresponding to the regional power grid are equal to the positive and negative spinning reserve capacities of the regional power grid; the transmission power of the i-th tie line in the aggregation structure corresponding to the regional power grid at the t-th moment in the target period is equal to the exchange power between the two sub-regional power grids equivalent to the aggregation nodes connected to the i-th tie line in the aggregation structure corresponding to the regional power grid;

[0121] The predicted power load, hydropower unit output, nuclear power unit output, maximum power generation forecast value of photovoltaic units, and maximum power generation forecast value of wind turbine units of the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period are equal to the sum of the predicted loads, hydropower unit output, nuclear power unit output, maximum power generation forecast value of photovoltaic units, and maximum power generation forecast value of wind turbine units of each node in the nth sub-regional power grid at the tth moment in the target period;

[0122] The processing of other planning data parameters is similar to that of power generation planning / forecasting data: predicted power load, hydropower unit power output data, nuclear power unit output data, photovoltaic unit maximum power generation forecast data, and wind turbine maximum power generation forecast data;

[0123] In addition, before establishing the objective function for power grid optimization calculation, two conventional units of the same type, with the same startup mode, and whose single-unit capacity satisfies the constraint condition |P1-P2|≤min(P1, P2) in the nth sub-regional power grid are aggregated (P1, P2 are the single-unit capacities of conventional units 1 and 2, respectively). The sum of the single-unit capacities of the two conventional units after aggregation remains unchanged (or changes slightly), and they are still two conventional units after aggregation. For example, the single-unit capacities of conventional units 1 and 2 before aggregation are 25 and 75, respectively, while the single-unit capacities of conventional units 1 and 2 after aggregation are 50 and 50, respectively. Similarly, the conventional units in the nth sub-regional power grid are divided into m categories based on the differences in conventional unit type, startup mode, and single-unit capacity in the nth sub-regional power grid. The total number, maximum technical output, and minimum technical output of each category of conventional units are counted. Therefore, the number of types of conventional units at the nth aggregation node in the aggregation structure corresponding to the regional power grid, as well as the total number, maximum technical output, and minimum technical output of each category of conventional units, are determined.

[0124] In a preferred embodiment of the present invention, the optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes the optimal total power output of all photovoltaic units and the optimal total power output of all wind turbine units in the corresponding aggregation node;

[0125] The optimization of the regional new energy consumption target value based on the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes:

[0126] According to the optimal total power output of all photovoltaic units in each aggregation node, the target power generation value P of the photovoltaic units in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: zong,pv,T The target value β of the power restriction rate of the photovoltaic unit in the target period in the renewable energy power generation constraint scheme of the regional power grid pv,T :

[0127]

[0128]

[0129] According to the optimal total power output of all wind turbines in each aggregation node, the target power generation capacity P of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: zong,w,T The target value β of the power restriction rate of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid w,T :

[0130]

[0131]

[0132] In the above formula, P h,pv (t,n) is the optimal total power output of the photovoltaic unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, is the total predicted value of the maximum power generation of the photovoltaic unit at the tth moment in the target period at the nth aggregation node in the aggregation structure corresponding to the regional power grid, P h,w (t,n) is the optimal total power output of wind turbines at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period. is the total predicted value of the maximum power generation of the wind turbine at the t-th moment in the target period at the n-th aggregation node in the aggregation structure corresponding to the regional power grid, n∈(1~N), N is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, t∈(1~T), T is the total number of moments in the target period.

[0133] The present invention provides a new energy generation optimization scheduling device for a regional power grid, such as Figure 2 As shown, the device includes:

[0134] A construction module, configured to construct an aggregation structure corresponding to the regional power grid according to the planned transmission capacity of each tie line of the regional power grid obtained from the dispatching center of the regional power grid;

[0135] A calculation module is used to calculate the optimal renewable energy generation of each aggregation node in the aggregation structure corresponding to the regional power grid;

[0136] The optimization module is used to determine the regional new energy consumption target value based on the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid, and send it to the dispatching center of the regional power grid.

[0137] In the most preferred embodiment of the present invention, the building blocks include:

[0138] The demarcation unit is used for the case where the planned transmission capacity of the xth tie line in the regional power grid at any time during the target period exceeds the maximum transmission capacity of the xth tie line, then the xth tie line is regarded as the demarcation line of the regional power grid;

[0139] a division unit, configured to divide the regional power grid into N sub-regional power grids based on a boundary line of the regional power grid;

[0140] An equivalent unit, configured to convert the N sub-regional power grids into N aggregation nodes;

[0141] Among them, x∈(1~S L ), S L is the total number of interconnection lines in the regional power grid.

[0142] In the most preferred embodiment of the present invention, the calculation module includes:

[0143] Establishing a unit for establishing a power grid optimization calculation objective function with the goal of maximizing the renewable energy power generation of the regional power grid;

[0144] The acquisition unit is used to solve the power grid optimization calculation objective function that meets the constraint conditions and obtain the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid.

[0145] Specifically, the objective function of power grid optimization calculation is established as follows:

[0146]

[0147] In the above formula: P is the renewable energy power generation of the regional power grid, P w (t,n) is the total power generation output of wind turbines at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, P pv (t,n) is the total power generation output of the PV units at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, n∈(1~N), N is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, t∈(1~T), T is the total number of moments in the target period.

[0148] Among them, the constraints of the power grid optimization calculation objective function include: the rotating reserve capacity constraint of the aggregation structure corresponding to the regional power grid, the load balance constraint of the aggregation structure corresponding to the regional power grid, the transmission capacity constraint of the interconnection line in the aggregation structure corresponding to the regional power grid, the output constraint of the conventional units in the aggregation structure corresponding to the regional power grid, the optimized output ramp rate constraint of the conventional units in the aggregation structure corresponding to the regional power grid, the operating number constraint of the conventional units in the aggregation structure corresponding to the regional power grid, the output constraint of the backpressure units in the conventional units in the aggregation structure corresponding to the regional power grid, the output constraint of the extraction steam units in the conventional units in the aggregation structure corresponding to the regional power grid, the operation constraint of the hydropower units in the aggregation structure corresponding to the regional power grid, the reservoir capacity limit constraint of the pumped storage power station in the aggregation structure corresponding to the regional power grid, the power generation output constraint of the pumped storage power station in the aggregation structure corresponding to the regional power grid, the power generation output constraint of the photovoltaic units in the aggregation structure corresponding to the regional power grid and the power generation output constraint of the wind turbine units in the aggregation structure corresponding to the regional power grid.

[0149] In a preferred embodiment of the present invention, the optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes the optimal total power output of all photovoltaic units and the optimal total power output of all wind turbine units in the corresponding aggregation node;

[0150] The optimization of the regional new energy consumption target value based on the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes:

[0151] According to the optimal total power output of all photovoltaic units in each aggregation node, the target power generation value P of the photovoltaic units in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: zong,pv,T The target value β of the power restriction rate of the photovoltaic unit in the target period in the renewable energy power generation constraint scheme of the regional power grid pv,T :

[0152]

[0153]

[0154] According to the optimal total power output of all wind turbines in each aggregation node, the target power generation capacity P of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: zong,w,T The target value β of the power restriction rate of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid w,T :

[0155]

[0156]

[0157] In the above formula, P h,pv (t,n) is the optimal total power output of the photovoltaic unit at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period, is the total predicted value of the maximum power generation of the photovoltaic unit at the tth moment in the target period at the nth aggregation node in the aggregation structure corresponding to the regional power grid, P h,w (t,n) is the optimal total power output of wind turbines at the nth aggregation node in the aggregation structure corresponding to the regional power grid at the tth moment in the target period. is the total predicted value of the maximum power generation of the wind turbine at the t-th moment in the target period at the n-th aggregation node in the aggregation structure corresponding to the regional power grid, n∈(1~N), N is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, t∈(1~T), T is the total number of moments in the target period.

[0158] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0159] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0160] These computer program instructions may 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 produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0161] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0162] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing the dispatch of renewable energy power generation in a regional power grid, characterized in that: The method comprises: Constructing an aggregation structure corresponding to the regional power grid according to the planned transmission capacity of each tie line of the regional power grid obtained from the dispatching center of the regional power grid; Calculate the optimal renewable energy generation capacity of each aggregation node in the aggregation structure corresponding to the regional power grid; Determining a regional renewable energy consumption target value based on the optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid, and sending the target value to a dispatching center of the regional power grid; The step of constructing an aggregation structure corresponding to the regional power grid according to the planned transmission capacity of each tie line of the regional power grid obtained from the dispatching center of the regional power grid includes: Regional power grid The planned transmission capacity of the tie line at any time during the target period exceeds The maximum transmission capacity of the tie line, then let The interconnection line is the boundary line of the regional power grid; Based on the boundary line of the regional power grid, the regional power grid is divided into sub-regional power grids; The The sub-regional power grid is equivalent to Aggregation nodes; in, , is the total number of tie lines in the regional power grid; The optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes the optimal total power output of all photovoltaic units and the optimal total power output of all wind turbine units in the corresponding aggregation node; The determining of the regional new energy consumption target value based on the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes: According to the optimal total power output of all photovoltaic units in each aggregation node, the target power generation value of the photovoltaic units in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: The target value of the power restriction rate of the photovoltaic unit in the target period in the renewable energy power generation constraint scheme of the regional power grid : According to the optimal total power output of all wind turbines in each aggregation node, the target power generation value of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: The target value of the power restriction rate of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid : In the above formula, The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The optimal total power output of the photovoltaic unit at the moment is: The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The total predicted value of the maximum power generation of the photovoltaic unit at the moment, The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The optimal total power output of the wind turbine at the moment is: The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The total predicted value of the maximum power generation of the wind turbine at the moment, , is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, , T is the total number of moments in the target period.

2. The method according to claim 1, wherein The calculation of the optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes: The objective function of power grid optimization calculation is established with the goal of maximizing the renewable energy power generation of the regional power grid; Solve the grid optimization calculation objective function that meets the constraint conditions to obtain the optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid.

3. The method according to claim 2, wherein The objective function of power grid optimization calculation is established as follows: In the above formula: is the renewable energy generation capacity of the regional power grid, The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The total power output of the wind turbine at a given moment is: The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The total power generation output of the photovoltaic unit at a certain moment, , is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, , T is the total number of moments in the target period.

4. The method according to claim 3, wherein The constraints of the objective function of the power grid optimization calculation include: the rotating reserve capacity constraint of the aggregation structure corresponding to the regional power grid, the load balance constraint of the aggregation structure corresponding to the regional power grid, the transmission capacity constraint of the interconnection line in the aggregation structure corresponding to the regional power grid, the output constraint of the conventional units in the aggregation structure corresponding to the regional power grid, the optimized output ramp rate constraint of the conventional units in the aggregation structure corresponding to the regional power grid, the operating number constraint of the conventional units in the aggregation structure corresponding to the regional power grid, the output constraint of the back-pressure units in the conventional units in the aggregation structure corresponding to the regional power grid, the output constraint of the extraction steam units in the conventional units in the aggregation structure corresponding to the regional power grid, the operation constraint of the hydropower units in the aggregation structure corresponding to the regional power grid, the reservoir capacity limit constraint of the pumped-storage power station in the aggregation structure corresponding to the regional power grid, the power generation output constraint of the pumped-storage power station in the aggregation structure corresponding to the regional power grid, the power generation output constraint of the photovoltaic units in the aggregation structure corresponding to the regional power grid, and the power generation output constraint of the wind turbine units in the aggregation structure corresponding to the regional power grid.

5. A new energy power generation optimization and dispatching device for a regional power grid, characterized in that: The device comprises: A construction module, configured to construct an aggregation structure corresponding to the regional power grid according to the planned transmission capacity of each tie line of the regional power grid obtained from the dispatching center of the regional power grid; A calculation module is used to calculate the optimal renewable energy generation of each aggregation node in the aggregation structure corresponding to the regional power grid; an optimization module, configured to determine a regional renewable energy consumption target value based on the optimal renewable energy generation of each aggregation node in the aggregation structure corresponding to the regional power grid, and transmit the result to a dispatch center of the regional power grid; The building blocks include: Demarcation unit, used in regional power grid The planned transmission capacity of the tie line at any time during the target period exceeds The maximum transmission capacity of the tie line, then let The interconnection line is the boundary line of the regional power grid; A division unit is used to divide the regional power grid into sub-regional power grids; Equivalent unit for converting the The sub-regional power grid is equivalent to Aggregation nodes; in, , is the total number of tie lines in the regional power grid; The optimal renewable energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes the optimal total power output of all photovoltaic units and the optimal total power output of all wind turbine units in the corresponding aggregation node; The determining of the regional new energy consumption target value based on the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid includes: According to the optimal total power output of all photovoltaic units in each aggregation node, the target power generation value of the photovoltaic units in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: The target value of the power restriction rate of the photovoltaic unit in the target period in the renewable energy power generation constraint scheme of the regional power grid : According to the optimal total power output of all wind turbines in each aggregation node, the target power generation value of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid is determined as follows: The target value of the power restriction rate of wind turbines in the target period in the renewable energy power generation constraint scheme of the regional power grid : In the above formula, The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The optimal total power output of the photovoltaic unit at the moment is: The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The total predicted value of the maximum power generation of the photovoltaic unit at the moment, The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The optimal total power output of the wind turbine at the moment is: The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The total predicted value of the maximum power generation of the wind turbine at the moment, , is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, , T is the total number of moments in the target period.

6. The device according to claim 5, characterized in that The computing module includes: Establishing a unit for establishing a power grid optimization calculation objective function with the goal of maximizing the renewable energy power generation of the regional power grid; The acquisition unit is used to solve the power grid optimization calculation objective function that meets the constraint conditions and obtain the optimal new energy power generation of each aggregation node in the aggregation structure corresponding to the regional power grid.

7. The device according to claim 6, characterized in that The objective function of power grid optimization calculation is established as follows: In the above formula: is the renewable energy power generation of the regional power grid, The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The total power output of the wind turbine at a given moment is: The first one in the aggregation structure corresponding to the regional power grid The aggregation node in the target period The total power generation output of the photovoltaic unit at a certain moment, , is the number of aggregation nodes in the aggregation structure corresponding to the regional power grid, , T is the total number of moments in the target period.

8. The device according to claim 7, wherein The constraints of the objective function of the power grid optimization calculation include: the rotating reserve capacity constraint of the aggregation structure corresponding to the regional power grid, the load balance constraint of the aggregation structure corresponding to the regional power grid, the transmission capacity constraint of the interconnection line in the aggregation structure corresponding to the regional power grid, the output constraint of the conventional units in the aggregation structure corresponding to the regional power grid, the optimized output ramp rate constraint of the conventional units in the aggregation structure corresponding to the regional power grid, the operating number constraint of the conventional units in the aggregation structure corresponding to the regional power grid, the output constraint of the backpressure units in the conventional units in the aggregation structure corresponding to the regional power grid, the output constraint of the extraction steam units in the conventional units in the aggregation structure corresponding to the regional power grid, the operation constraint of the hydropower units in the aggregation structure corresponding to the regional power grid, the reservoir capacity limit constraint of the pumped storage power station in the aggregation structure corresponding to the regional power grid, the power generation output constraint of the pumped storage power station in the aggregation structure corresponding to the regional power grid, the power generation output constraint of the photovoltaic units in the aggregation structure corresponding to the regional power grid, and the power generation output constraint of the wind turbine units in the aggregation structure corresponding to the regional power grid.

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