Electricity-hydrogen coupling energy hub peak regulation potential evaluation method and system

Abstract

The invention provides an electricity-hydrogen coupling energy hub peak regulation potential evaluation method and system. The method comprises the following steps: obtaining new energy output of an energy hub and equipment parameters of each electricity-hydrogen coupling energy hub; on the basis of the new energy output and the parameters of the electricity-hydrogen coupling equipment, combining with a pre-constructed energy hub peak load regulation power model, and obtaining actual peak load regulation participation power of the electricity-hydrogen coupling equipment; on the basis of actual participation power of peak regulation of the electric-hydrogen coupling equipment, the new energy output and the equipment parameters in combination with a pre-constructed energy hub peak regulation target model, obtaining an optimal target value of peak regulation participated by the electric-hydrogen coupling equipment; according to the net load value and the total scheduling time of the energy hub corresponding to the optimal target value, evaluating the grid-connected peak regulation potential of the electricity-hydrogen coupling energy hub; according to the invention, the potential of the electro-hydrogen fusion energy hub in the peak regulation of the power grid is fully exerted through potential evaluation; the adjusting capability of the power grid is improved, and the stability and safety of power grid operation are improved.

Description

Technical Field

[0001] The present invention relates to the field of methods for evaluating the grid-connected peak-shaving potential of an electric-hydrogen coupled energy hub taking into account equipment availability, and in particular to a method and system for evaluating the potential of an electric-hydrogen coupled energy hub. Background Art

[0002] At present, the rapid development of electric hydrogen equipment in the energy field has far-reaching significance, and it can also play an important role in peak load regulation of power grids. Electric hydrogen coupling equipment includes water electrolysis hydrogen production equipment, hydrogen fuel cells and hydrogen storage tanks. Electric hydrogen coupling equipment can produce hydrogen through water electrolysis hydrogen production equipment when there is excess power generation from renewable energy, store hydrogen with the help of hydrogen storage tanks, and convert hydrogen into electricity through hydrogen fuel cells when power generation is insufficient, thereby balancing supply and demand, improving the regulation capacity of the power grid, and increasing the stability and safety of power grid operation.

[0003] At present, the research on the peak-shaving potential assessment method of grid-connected energy hubs coupled with electricity and hydrogen has problems such as inaccurate assessment results, which in turn affects the regulation capacity and operation of the power grid. Summary of the invention

[0004] In order to solve the problem that the existing technology on the evaluation method of grid-connected peak-shaving potential of electric-hydrogen coupled energy hubs has inaccurate evaluation results, the present invention proposes an evaluation method for peak-shaving potential of electric-hydrogen coupled energy hubs, comprising:

[0005] Obtain the new energy output of the energy hub and the equipment parameters of each electric-hydrogen coupled energy hub;

[0006] Based on the output of the new energy and the parameters of each electric-hydrogen coupling device combined with the pre-constructed energy hub peak-shaving power model, the actual available power for peak-shaving of the electric-hydrogen coupling device is obtained;

[0007] Based on the actual power that can be participated in the peak regulation of the electric-hydrogen coupling equipment, the output of the new energy and the equipment parameters combined with the pre-built energy hub peak regulation target model, the optimal target value of the electric-hydrogen coupling equipment participating in the peak regulation is obtained;

[0008] According to the net load value and total dispatch time of the energy hub corresponding to the optimal target value, the peak load regulation potential of the electric-hydrogen coupled energy hub is evaluated;

[0009] Among them, the energy hub peak-shaving target model is constructed with the peak-shaving cost, wind and solar power abandonment and peak-valley difference rate of the electric-hydrogen coupled energy hub as the goal, and the actual power that can be participated in the peak-shaving of the electric-hydrogen coupled equipment as the system operation constraint condition.

[0010] Preferably, the obtaining of the new energy output of the energy hub and the parameters of each electric-hydrogen coupled energy hub equipment includes:

[0011] Obtain the abandoned wind power generation and abandoned photovoltaic power generation and load conditions of the electricity-hydrogen coupled energy hub;

[0012] Obtain the power output characteristics and regulation rate of the electric-hydrogen coupling equipment in the electric-hydrogen coupling energy hub;

[0013] Obtain the response cost of the electric-hydrogen coupling energy hub equipment in the electric-hydrogen coupling energy hub;

[0014] Among them, the electric-hydrogen coupling equipment includes: electrolytic cells, fuel cells and hydrogen storage tanks.

[0015] Preferably, the construction of the energy hub peak load regulation target model includes:

[0016] The peak-shaving cost model of energy hub is constructed with the goal of minimizing the peak-shaving cost of the electricity-hydrogen coupled energy hub;

[0017] A wind and solar power abandonment model is constructed with the goal of minimizing the wind power abandonment and photovoltaic power abandonment in the electric-hydrogen coupled energy hub.

[0018] The net load model of energy hub is constructed with the goal of minimizing the net load of the electricity-hydrogen coupled energy hub;

[0019] A peak-valley difference rate model is constructed with the goal of minimizing the peak-valley difference rate of the electricity-hydrogen coupling energy hub;

[0020] The energy hub peak-shaving cost model, wind and solar power abandonment model, energy hub net load and peak-valley difference rate model constructed respectively are normalized to construct a multi-objective function;

[0021] The energy hub peak load regulation target model is determined based on the multi-objective function and the actual available power as system operation constraints.

[0022] Preferably, the multi-objective function minF is as follows:

[0023]

[0024] Where: λ1, λ2, λ3 are weight coefficients; F1 is the energy hub cost, F2 is the amount of wind and solar power abandoned, F3 is the peak-to-valley difference of the energy hub, and F 1，min is the minimum energy hub cost, F 2，min is the minimum amount of wind and solar power curtailment, F 3，min is the peak-to-valley difference of the minimum energy hub, F 1，max is the maximum energy hub cost, F 2，max is the maximum amount of wind and solar power abandoned, F 3，max It is the peak and valley of the largest energy hub.

[0025] Preferably, the energy hub peak-shaving power model includes: an electrolytic cell peak-shaving power model, a fuel cell peak-shaving power model and a hydrogen storage tank peak-shaving capacity model.

[0026] Preferably, the electrolytic cell peak load model is as follows:

[0027]

[0028] Where: The actual available power for upward peak regulation of the electrolytic cell; To peak the power of the electrolytic cell upwards; The actual available power for downward peak regulation of the electrolytic cell; The electrolytic cell is used to adjust the peak power downward; μ EC (t) is the actual availability of the electrolytic cell at time t.

[0029] Preferably, the fuel cell peak load model is as follows:

[0030]

[0031] Where: The actual available power for upward peak shifting of fuel cells; To peak the power upward for the fuel cell; The actual available power for downward peak shifting of fuel cells; The fuel cell is used to regulate the peak power downward; μ FC (t) is the actual availability of the fuel cell at time t.

[0032] Preferably, the peak load regulation capability model of the hydrogen storage tank is as follows:

[0033]

[0034] Where: HS up，real (t) is the actual amount of hydrogen available for peak load regulation in the hydrogen storage tank; HS up (t) is the upward peak-shaving capacity of the hydrogen storage tank; HS down，real (t) is the actual amount of hydrogen available for downward peak regulation in the hydrogen storage tank; HS down (t) is the downward peak regulation capacity of the hydrogen storage tank; μ HS (t) is the actual availability of the hydrogen storage tank at time t.

[0035] Preferably, the step of evaluating the peak-shaving potential of the electric-hydrogen coupled energy hub in terms of the net load value and the total dispatch time of the energy hub corresponding to the optimal target value includes:

[0036] Based on the net load value and total dispatch time of the energy hub corresponding to the optimal target value, the average load of the electric-hydrogen coupled energy hub is calculated;

[0037] Based on the average load of the energy hub, the upper and lower limits of the grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub are calculated in combination with the grid-connected peak-shaving potential expression of the energy hub;

[0038] The grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub is determined by the upper and lower limits of the grid-connected peak-shaving potential.

[0039] Preferably, the grid-connected peak load regulation potential of the energy hub is expressed as follows:

[0040]

[0041] Where P ip is the upper limit of the grid-connected peak-shaving potential of the energy hub, P down is the upper limit of the grid-connected peak-shaving potential of the energy hub, P payload (t) is the net load of the energy hub during period t; P load (t) is the response load of the energy hub during period t, is the average load of the energy hub.

[0042] Based on the same inventive concept, the present invention also provides a potential assessment system for an electric-hydrogen coupled energy hub, which is characterized by comprising: a parameter acquisition module, a calculation module, a peak regulation module and a potential assessment module;

[0043] The parameter acquisition module is used to obtain the new energy output and equipment parameters of the energy hub;

[0044] The calculation module is used to obtain the actual available power for peak regulation of the electric-hydrogen coupling equipment based on the output of the new energy and the parameters of each electric-hydrogen coupling equipment in combination with a pre-constructed energy hub peak regulation power model;

[0045] The peak-shaving module: based on the actual power that can be participated in the peak-shaving of the electric-hydrogen coupling equipment, the output of the new energy and the equipment parameters combined with the pre-built energy hub peak-shaving target model, obtains the optimal target value for the electric-hydrogen coupling equipment to participate in the peak-shaving;

[0046] The potential assessment module is used to assess the grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub according to the net load value and the total dispatch time of the energy hub corresponding to the optimal target value;

[0047] Among them, the energy hub peak-shaving target model is constructed with the peak-shaving cost, wind and solar power abandonment and peak-valley difference rate of the electric-hydrogen coupled energy hub as the goal, and the actual power that can be participated in the peak-shaving of the electric-hydrogen coupled equipment as the system operation constraint condition.

[0048] Preferably, the parameter acquisition module is specifically used for:

[0049] Obtain the abandoned wind power generation and abandoned photovoltaic power generation and load conditions of the energy hub;

[0050] Obtain the power output characteristics and regulation rate of the electric-hydrogen coupling;

[0051] Obtain the response cost of the electric-hydrogen coupling energy hub equipment in the electric-hydrogen coupling energy hub;

[0052] Among them, the electric-hydrogen coupled energy hub equipment includes: electrolytic cells, fuel cells and hydrogen storage tanks.

[0053] Preferably, the specific steps of constructing the energy hub peak load target model include:

[0054] The peak-shaving cost model of energy hub is constructed with the goal of minimizing the peak-shaving cost of the electricity-hydrogen coupled energy hub;

[0055] A wind and solar power abandonment model is constructed with the goal of minimizing the wind power abandonment and photovoltaic power abandonment in the electric-hydrogen coupled energy hub.

[0056] The net load model of energy hub is constructed with the goal of minimizing the net load of the electricity-hydrogen coupled energy hub;

[0057] A peak-valley difference rate model is constructed with the goal of minimizing the peak-valley difference rate of the electricity-hydrogen coupling energy hub;

[0058] The energy hub peak-shaving cost model, wind and solar power abandonment model, energy hub net load and peak-valley difference rate model constructed respectively are normalized to construct a multi-objective function;

[0059] The energy hub peak load regulation target model is determined based on the multi-objective function and the actual available power as system operation constraints.

[0060] The energy hub peak load regulation target model is determined based on the multi-objective function and the actual available power as system operation constraints.

[0061] Preferably, the multi-objective function minF is as follows:

[0062]

[0063] Where: λ1, λ2, λ3 are weight coefficients; F1 is the energy hub cost, F2 is the amount of wind and solar power abandoned, F3 is the peak-to-valley difference of the energy hub, and F 1，min is the minimum energy hub cost, F 2，min is the minimum amount of wind and solar power curtailment, F 3，min is the peak-to-valley difference of the minimum energy hub, F 1，max is the maximum energy hub cost, F 2，max is the maximum amount of wind and solar power abandoned, F 3，max It is the peak and valley of the largest energy hub.

[0064] Preferably, the energy hub peak-shaving power model in the calculation module includes: an electrolytic cell peak-shaving power model, a fuel cell peak-shaving power model and a hydrogen storage tank peak-shaving capacity model.

[0065] Preferably, the electrolytic cell peak load model is as follows:

[0066]

[0067] Where: The actual available power for upward peak regulation of the electrolytic cell; To peak the power of the electrolytic cell upwards; The actual available power for downward peak regulation of the electrolytic cell; The electrolytic cell is used to adjust the peak power downward; μ EC (t) is the actual availability of the electrolytic cell at time t.

[0068] Preferably, the fuel cell peak load model is as follows:

[0069]

[0070] Where: The actual available power for upward peak shifting of fuel cells; To peak the power upward for the fuel cell; The actual available power for downward peak shifting of fuel cells; The fuel cell is used to regulate the peak power downward; μ FC (t) is the actual availability of the fuel cell at time t.

[0071] Preferably, the peak load regulation capability model of the hydrogen storage tank is as follows:

[0072]

[0073] Where: HS up，real (t) is the actual amount of hydrogen available for peak load regulation in the hydrogen storage tank; HS up (t) is the upward peak-shaving capacity of the hydrogen storage tank; HS down，real (t) is the actual amount of hydrogen available for downward peak regulation in the hydrogen storage tank; HS down (t) is the downward peak regulation capacity of the hydrogen storage tank; μ HS (t) is the actual availability of the hydrogen storage tank at time t.

[0074] Preferably, the potential assessment module is specifically used for:

[0075] Based on the net load value and total dispatch time of the energy hub corresponding to the optimal target value, the average load of the electric-hydrogen coupled energy hub is calculated;

[0076] Based on the average load of the energy hub, the upper and lower limits of the grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub are calculated in combination with the grid-connected peak-shaving potential expression of the energy hub;

[0077] The grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub is determined by the upper and lower limits of the grid-connected peak-shaving potential.

[0078] Preferably, the grid-connected peak load regulation potential of the energy hub is expressed as follows:

[0079]

[0080] Where P up is the upper limit of the grid-connected peak-shaving potential of the energy hub, P down is the upper limit of the grid-connected peak-shaving potential of the energy hub, P payload (t) is the net load of the energy hub during period t; P load (t) is the response load of the energy hub during period t, is the average load of the energy hub.

[0081] In another aspect, the present application further provides a computing device, comprising: at least one processor and a memory;

[0082] The memory is used to store one or more programs;

[0083] When the one or more programs are executed by the at least one processor, a method for evaluating the peak-shaving potential of an electric-hydrogen coupled energy hub as described above is implemented.

[0084] On the other hand, the present application also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed, a method for assessing the peak-shaving potential of an electric-hydrogen coupled energy hub as described above is implemented.

[0085] Compared with the prior art, the present invention has the following beneficial effects:

[0086] 1. The present invention provides a method for evaluating the peak-shaving potential of an electric-hydrogen coupled energy hub, which fully taps the potential of the electric-hydrogen fusion energy hub in power grid peak-shaving through potential evaluation; by acquiring the new energy output of the energy hub and the equipment parameters of each electric-hydrogen coupled energy hub, a peak-shaving power model taking into account the equipment availability is established for the electric-hydrogen coupled equipment in the energy hub; by evaluating the grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub, the accuracy of the evaluation results is improved, providing a reference basis for the full and effective utilization of hydrogen energy.

[0087] 2. The present invention establishes an energy hub peak-shaving power model by acquiring the new energy output of the energy hub and the parameters of each electric-hydrogen coupling device. The actual power that can be participated in the peak-shaving of the electric-hydrogen coupling device calculated by the energy hub peak-shaving power model is used as the constraint condition of the multi-objective function in the energy hub peak-shaving target model. The calculation of the optimal target value takes into account the actual power that can be participated in the peak-shaving of the electric-hydrogen coupling device, improves the regulation capacity of the power grid, and makes the overall evaluation result more suitable for the actual situation of the power grid operation, thereby increasing the stability and safety of the power grid operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] Figure 1 It is a schematic flow chart of the peak-shaving potential assessment method of the electric-hydrogen coupled energy hub of the present invention;

[0089] Figure 2 It is an implementation flow chart of the peak-shaving potential assessment method of the electric-hydrogen coupled energy hub of the present invention;

[0090] Figure 3 The figure is a schematic diagram of the structure of an electronic device of the present invention. DETAILED DESCRIPTION

[0091] The present invention aims to provide a method for evaluating the peak load potential of an electricity-hydrogen coupled energy hub, thereby improving the regulation capability of a power grid and increasing the stability and safety of power grid operation.

[0092] In order to better understand the present invention, the content of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0093] Embodiment 1:

[0094] The present invention provides a method for evaluating the peak load potential of an electric-hydrogen coupled energy hub. Figure 1 As shown, including:

[0095] Step S1: Obtain the new energy output of the energy hub and the parameters of each electric-hydrogen coupled energy hub equipment;

[0096] Step S2: based on the output of the new energy and the parameters of each electric-hydrogen coupling device combined with a pre-built energy hub peak-shaving power model, the actual available power for peak-shaving of the electric-hydrogen coupling device is obtained;

[0097] Step S3: based on the actual power available for peak load regulation of the electric-hydrogen coupling equipment, the output of the new energy and equipment parameters combined with a pre-built energy hub peak load regulation target model, the optimal target value for the electric-hydrogen coupling equipment to participate in peak load regulation is obtained;

[0098] Step S4: evaluating the peak load regulation potential of the electric-hydrogen coupled energy hub according to the net load value and the total dispatch time of the energy hub corresponding to the optimal target value;

[0099] Among them, the energy hub peak-shaving target model is constructed with the peak-shaving cost, wind and solar power abandonment and peak-valley difference rate of the electric-hydrogen coupled energy hub as the goal, and the actual power that can be participated in the peak-shaving of the electric-hydrogen coupled equipment as the system operation constraint condition.

[0100] Furthermore, in step S1, the new energy output of the energy hub and the equipment parameters of each electric-hydrogen coupled energy hub are obtained, including:

[0101] Obtain the abandoned wind power generation and abandoned photovoltaic power generation and load conditions of the energy hub;

[0102] Obtain the power output characteristics and regulation rate of the electric-hydrogen coupling;

[0103] Obtain the response cost of the electric-hydrogen coupling energy hub equipment in the electric-hydrogen coupling energy hub;

[0104] Among them, the electric-hydrogen coupled energy hub equipment includes: electrolytic cells, fuel cells and hydrogen storage tanks.

[0105] Before step S2, the energy hub peak load model involved in the present invention is first introduced.

[0106] The specific steps of constructing the energy hub peak load model include:

[0107] Step S2-1: Establishing the electrolytic cell peak load model:

[0108] Calculate the upward peak power of the electrolytic cell Its expression is as follows:

[0109]

[0110] Where: is the upward climbing rate of the electrolytic cell; is the maximum input power of the electrolytic cell; P EC (t) is the actual input power of the electrolytic cell at time t; Δt is the scheduling duration.

[0111] Calculate the downward peak power of the electrolytic cell Its expression is as follows:

[0112]

[0113] Where: is the downward climbing rate of the electrolytic cell; is the minimum input power of the electrolytic cell.

[0114] At the same time, the availability of the electrolytic cell is used to characterize its actual participating power in peak regulation, and a peak regulation power model of the electrolytic cell is established;

[0115] The actual power available for upward peak regulation of the electrolytic cell

[0116]

[0117] Where: μ EC is the actual availability of the electrolytic cell at time t;

[0118] Similarly, the actual power available for downward peak regulation of the electrolytic cell

[0119]

[0120] Step S2-2: Establishing a fuel cell peak load model:

[0121] Calculating the Upward Peaking Power of Fuel Cells The expression is as follows:

[0122]

[0123] Where: is the fuel cell upward climbing rate; is the maximum output power of the fuel cell; P FC (t) is the actual output power of the fuel cell at time t; Δt is the scheduling duration.

[0124] Calculating the Downward Peaking Power of Fuel Cells Its expression is as follows:

[0125]

[0126] Where: is the fuel cell downward climbing rate; is the minimum input power of the fuel cell.

[0127] The availability of fuel cells is used to characterize the actual participating power of the peak load regulation, and a fuel cell peak load regulation power model is established.

[0128] The actual power available for fuel cell upward peak shifting

[0129]

[0130] Where: μ FC (t) is the actual availability of the fuel cell at time t.

[0131] Similarly, the actual power available for fuel cell downward peak regulation is for

[0132]

[0133] Step 2-3: Establish the peak load capacity model of hydrogen storage tanks:

[0134] The hydrogen stored in the hydrogen storage tank is produced by the electrolytic cell, and the conversion relationship is:

[0135] HS add (t) = η EC P EC (t)

[0136] Where: P EC (t) is the power of the electrolytic cell; η EC is the electricity-to-hydrogen conversion efficiency of the electrolyzer; HS add (t) is the amount of hydrogen added to the hydrogen storage tank.

[0137] The hydrogen stored in the hydrogen storage tank is converted into electrical power through the fuel cell, and the conversion relationship is:

[0138] HS out (t) = η FC P FC (t)

[0139] Where: P FC (t) is the fuel cell power; η FC is the hydrogen-electricity conversion efficiency of the fuel cell; HS out (t) is the amount of hydrogen reduced in the hydrogen storage tank.

[0140] The hydrogen storage state change HS(t+1) of the hydrogen storage tank is:

[0141] HS(t+1)=HS(t)+HS add (t)-HS out (t)

[0142] The peak load regulation capacity of the hydrogen storage tank is related to the hydrogen storage capacity and the upper and lower limits of hydrogen storage at time t. Therefore, the upward peak load regulation capacity of the hydrogen storage tank can be expressed as:

[0143] HS up (t) = min{S HS Δt,HS(t)-HS min}

[0144] Where: S HS HS is the maximum value of the change in hydrogen storage volume per unit time in the hydrogen storage tank; min is the minimum hydrogen storage capacity of the hydrogen storage tank; HS(t) is the hydrogen storage capacity of the hydrogen storage tank at time t; Δt is the scheduling duration.

[0145] The downward peak regulation capacity of the hydrogen storage tank can be expressed as:

[0146] HS down (t) = min{S HS Δt,HSmax -HS(t)}

[0147] Where: S HS is the maximum change of hydrogen in the hydrogen storage tank per unit time; HS max is the maximum hydrogen storage capacity of the hydrogen storage tank; HS(t) is the hydrogen storage capacity of the hydrogen storage tank at time t; Δt is the scheduling duration.

[0148] The availability rate of hydrogen storage tanks is used to characterize the actual participating power of the peak load regulation, and the peak load regulation capacity model of hydrogen storage tanks is established;

[0149] The actual amount of hydrogen that can be used in the upward peak regulation of the hydrogen storage tank is:

[0150] HS up,real (t) = μ HS (t)HS up (t)

[0151] Where: HS up，real (t) is the actual amount of hydrogen available for peak load regulation in the hydrogen storage tank; HS up (t) is the upward peak-shaving capacity of the hydrogen storage tank; μ HS (t) is the actual availability of the hydrogen storage tank at time t.

[0152] Similarly, the actual amount of hydrogen that can be used for downward peak regulation in the hydrogen storage tank is:

[0153] HS down , real (t) = μ HS (t)HS down (t)

[0154] Where: HS down，real (t) is the actual amount of hydrogen available for downward peak regulation in the hydrogen storage tank; HS down (t) is the downward peak regulation capacity of the hydrogen storage tank; μ HS (t) is the actual availability of the hydrogen storage tank at time t.

[0155] Step S2: based on the output of the new energy and the parameters of each electric-hydrogen coupling device combined with a pre-built energy hub peak-shaving power model, the actual available power for peak-shaving of the electric-hydrogen coupling device is obtained;

[0156] Substitute the new energy output and the parameters of each electric-hydrogen coupling equipment into the energy hub peak-shaving power model to obtain the actual power that can be participated in the peak-shaving of the electric-hydrogen coupling equipment.

[0157] Before step S3, the construction of the energy hub peak-shaving target model involved in the present invention is introduced.

[0158] The construction of the energy hub peak load regulation target model includes:

[0159] The peak-shaving cost model of energy hub is constructed with the goal of minimizing the peak-shaving cost of the electricity-hydrogen coupled energy hub;

[0160] A wind and solar power abandonment model is constructed with the goal of minimizing the wind power abandonment and photovoltaic power abandonment in the electric-hydrogen coupled energy hub.

[0161] The net load model of energy hub is constructed with the goal of minimizing the net load of the electricity-hydrogen coupled energy hub;

[0162] A peak-valley difference rate model is constructed with the goal of minimizing the peak-valley difference rate of the electricity-hydrogen coupling energy hub;

[0163] The energy hub peak-shaving cost model, wind and solar power abandonment model, energy hub net load and peak-valley difference rate model constructed respectively are normalized to construct a multi-objective function;

[0164] The energy hub peak load regulation target model is determined based on the multi-objective function and the actual available power as system operation constraints.

[0165] The expression of the energy hub cost is as follows:

[0166]

[0167] Where: is the fuel cell operating cost during period t; is the operating cost of the electrolytic cell during period t; is the cost of the hydrogen storage tank during period t; F run (t) is the operating cost of other equipment in the energy hub except the electricity-hydrogen coupling equipment; F buy (t) is the electricity purchase cost of the energy hub.

[0168] The expression of the amount of wind and solar power abandoned is as follows:

[0169]

[0170] Where: is the abandoned air volume in period t; is the amount of abandoned light in period t; T is the total scheduling time.

[0171] The net load of the energy hub is

[0172] P payload (t) = P load (t)+P EC (t)-P FC (t)

[0173] Where: P payload (t) is the net load of the energy hub during period t; P load (t) is the response load of the energy hub during period t; PEC (t) is the actual input power of the electrolytic cell at time t; P FC (t) is the actual input power of the fuel cell at time t.

[0174] The expression of the peak-to-valley difference of the energy hub is as follows:

[0175]

[0176] Where: is the maximum net load of the energy hub; It is the minimum net load of the energy hub.

[0177] The model is shown in the following formula:

[0178]

[0179] Where: λ1, λ2, λ3 are weight coefficients; F1 is the energy hub cost, F2 is the amount of wind and solar power abandoned, F3 is the peak-to-valley difference of the energy hub, and F 1，min is the minimum energy hub cost, F 2，min is the minimum amount of wind and solar power curtailment, F 3，min is the peak-to-valley difference of the minimum energy hub, F 1，max is the maximum energy hub cost, F 2，max is the maximum amount of wind and solar power abandoned, F 3，max It is the peak and valley of the largest energy hub.

[0180] Step S3: Based on the actual power available for peak load regulation of the electric-hydrogen coupling equipment, the new energy output and equipment parameters combined with the pre-built energy hub peak load regulation target model, the optimal target value of the electric-hydrogen coupling equipment participating in peak load regulation is obtained, including:

[0181] The actual power that can be participated in the peak regulation of the electric-hydrogen coupling equipment, the output of the new energy and the equipment parameters are substituted into the peak regulation target model of the energy hub to obtain the optimal target value of the electric-hydrogen coupling equipment participating in the peak regulation.

[0182] Furthermore, the step S4: evaluating the peak load regulation potential of the electric-hydrogen coupled energy hub according to the net load value and the total dispatch time of the energy hub corresponding to the optimal target value, specifically includes:

[0183] Based on the net load value and total dispatch time of the energy hub corresponding to the optimal target value, the average load of the electric-hydrogen coupled energy hub is calculated;

[0184] Based on the average load of the energy hub, the upper and lower limits of the grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub are calculated in combination with the grid-connected peak-shaving potential expression of the energy hub;

[0185] The grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub is determined by the upper and lower limits of the grid-connected peak-shaving potential.

[0186] The grid-connected peak-shaving potential of the energy hub is expressed as follows:

[0187]

[0188] Where P up is the upper limit of the grid-connected peak-shaving potential of the energy hub, P down is the upper limit of the grid-connected peak-shaving potential of the energy hub, P payload (t) is the net load of the energy hub during period t; P load (t) is the response load of the energy hub during period t, is the average load of the energy hub.

[0189] The expression of the average load of the energy hub is as follows:

[0190]

[0191] Where: is the average load of the energy hub; T is the total dispatch time.

[0192] In order to more clearly illustrate the process of the implementation method of the present invention, please refer to the attached Figure 2 shown.

[0193] Embodiment 2:

[0194] The present invention based on the same inventive concept also provides a peak-shaving potential assessment system for an electric-hydrogen coupled energy hub, comprising: a parameter acquisition module, a calculation module, a peak-shaving module and a potential assessment module;

[0195] The parameter acquisition module is used to obtain the new energy output of the energy hub and the parameters of each electric-hydrogen coupled energy hub equipment;

[0196] The calculation module is used to obtain the actual available power for peak regulation of the electric-hydrogen coupling equipment based on the output of the new energy and the parameters of each electric-hydrogen coupling equipment in combination with a pre-constructed energy hub peak regulation power model;

[0197] The peak-shaving module is used to obtain the optimal target value of the peak-shaving of the electric-hydrogen coupling equipment based on the actual power that can be participated in the peak-shaving of the electric-hydrogen coupling equipment, the output of the new energy and the equipment parameters combined with the pre-built energy hub peak-shaving target model;

[0198] The potential assessment module is used to assess the grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub according to the net load value and the total dispatch time of the energy hub corresponding to the optimal target value;

[0199] Among them, the energy hub peak-shaving target model is constructed with the peak-shaving cost, wind and solar power abandonment and peak-valley difference rate of the electric-hydrogen coupled energy hub as the goal, and the actual power that can be participated in the peak-shaving of the electric-hydrogen coupled equipment as the system operation constraint condition.

[0200] Furthermore, the parameter acquisition module is specifically used for:

[0201] Obtain the abandoned wind power generation and abandoned photovoltaic power generation and load conditions of the electricity-hydrogen coupled energy hub;

[0202] Obtain the power output characteristics and regulation rate of the electric-hydrogen coupling equipment in the electric-hydrogen coupling energy hub;

[0203] Obtain the response cost of the electric-hydrogen coupling energy hub equipment in the electric-hydrogen coupling energy hub;

[0204] Among them, the electric-hydrogen coupling equipment includes: electrolytic cells, fuel cells and hydrogen storage tanks.

[0205] The specific steps of constructing the energy hub peak load target model include:

[0206] The peak-shaving cost model of energy hub is constructed with the goal of minimizing the peak-shaving cost of the electricity-hydrogen coupled energy hub;

[0207] A wind and solar power abandonment model is constructed with the goal of minimizing the wind power abandonment and photovoltaic power abandonment in the electric-hydrogen coupled energy hub.

[0208] The net load model of energy hub is constructed with the goal of minimizing the net load of the electricity-hydrogen coupled energy hub;

[0209] A peak-valley difference rate model is constructed with the goal of minimizing the peak-valley difference rate of the electricity-hydrogen coupling energy hub;

[0210] The energy hub peak-shaving cost model, wind and solar power abandonment model, energy hub net load and peak-valley difference rate model constructed respectively are normalized to construct a multi-objective function;

[0211] The energy hub peak load regulation target model is determined based on the multi-objective function and the actual available power as system operation constraints.

[0212] The multi-objective model is shown in the following formula:

[0213]

[0214] Where: λ1, λ2, λ3 are weight coefficients; F1 is the energy hub cost, F2 is the amount of wind and solar power abandoned, F3 is the peak-to-valley difference of the energy hub, and F 1，min is the minimum energy hub cost, F 2，min is the minimum amount of wind and solar power curtailment, F 3，minis the peak-to-valley difference of the minimum energy hub, F 1，max is the maximum energy hub cost, F 2，max is the maximum amount of wind and solar power abandoned, F 3，max It is the peak and valley of the largest energy hub.

[0215] Furthermore, the potential assessment module is specifically used for:

[0216] Based on the net load value and total dispatch time of the energy hub corresponding to the optimal target value, the average load of the electric-hydrogen coupled energy hub is calculated;

[0217] Based on the average load of the energy hub, the upper and lower limits of the grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub are calculated in combination with the grid-connected peak-shaving potential expression of the energy hub;

[0218] The grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub is determined by the upper and lower limits of the grid-connected peak-shaving potential.

[0219] Embodiment 3:

[0220] like Figure 3 As shown, the present invention also provides an electronic device, which may be a computer device, a single-chip device, an intelligent mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, the processor, and the transceiver component are connected via a bus; the memory may be used to store an execution program, and an exemplary execution program may include instructions; the processor is used to execute the instructions stored in the memory. The memory may also be used to store data, which may be called and / or modified when the instructions are executed.

[0221] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in a storage medium to implement corresponding method flows or corresponding functions, so as to implement the steps of a method for assessing the peak-shaving potential of an electric-hydrogen coupled energy hub in the above-mentioned embodiment.

[0222] Example 4

[0223] Based on the same inventive concept, the present invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory), which is a memory device in an electronic device for storing programs and data. It is understandable that the storage medium here may include both built-in storage media in electronic devices and, of course, extended storage media supported by electronic devices. The storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions may be one or more execution programs (including program codes). It should be noted that the storage medium here may be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage. The processor loads and executes one or more instructions stored in the storage medium, which can implement the steps of a method for assessing the peak-shaving potential of an electric-hydrogen coupled energy hub in the above embodiment.

[0224] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0225] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram and the combination of processes and / or blocks 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 process in the flowchart. 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.

[0226] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 A function specified in one or more boxes.

[0227] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0228] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are included in the scope of the claims of the present invention to be approved.

Claims

1. A method for evaluating the peak load potential of an electricity-hydrogen coupled energy hub, characterized in that: include: Obtain the new energy output of the energy hub and the equipment parameters of each electric-hydrogen coupled energy hub; Based on the output of the new energy and the parameters of each electric-hydrogen coupling device combined with the pre-constructed energy hub peak-shaving power model, the actual available power for peak-shaving of the electric-hydrogen coupling device is obtained; Based on the actual power that can be participated in the peak regulation of the electric-hydrogen coupling equipment, the output of the new energy and the equipment parameters combined with the pre-built energy hub peak regulation target model, the optimal target value of the electric-hydrogen coupling equipment participating in the peak regulation is obtained; According to the net load value and total dispatch time of the energy hub corresponding to the optimal target value, the peak load regulation potential of the electric-hydrogen coupled energy hub is evaluated; Among them, the energy hub peak-shaving target model is constructed with the peak-shaving cost, wind and solar power abandonment and peak-valley difference rate of the electric-hydrogen coupled energy hub as the goal, and the actual power that can be participated in the peak-shaving of the electric-hydrogen coupled equipment as the system operation constraint condition.

2. The potential assessment method according to claim 1, characterized in that: The obtaining of the new energy output of the energy hub and the parameters of each electric-hydrogen coupled energy hub equipment includes: Obtain the abandoned wind power generation and abandoned photovoltaic power generation and load conditions of the electricity-hydrogen coupled energy hub; Obtain the power output characteristics and regulation rate of the electric-hydrogen coupling equipment in the electric-hydrogen coupling energy hub; Obtain the response cost of the electric-hydrogen coupling equipment in the electric-hydrogen coupling energy hub; Among them, the electric-hydrogen coupling equipment includes: electrolytic cells, fuel cells and hydrogen storage tanks.

3. The potential assessment method according to claim 1, characterized in that: The construction of the energy hub peak load regulation target model includes: The peak-shaving cost model of energy hub is constructed with the goal of minimizing the peak-shaving cost of the electricity-hydrogen coupled energy hub; A wind and solar power abandonment model is constructed with the goal of minimizing the wind power abandonment and photovoltaic power abandonment in the electric-hydrogen coupled energy hub. The net load model of energy hub is constructed with the goal of minimizing the net load of the electricity-hydrogen coupled energy hub; A peak-valley difference rate model is constructed with the goal of minimizing the peak-valley difference rate of the electricity-hydrogen coupling energy hub; The energy hub peak-shaving cost model, wind and solar power abandonment model, energy hub net load and peak-valley difference rate model constructed respectively are normalized to construct a multi-objective function; The energy hub peak load regulation target model is determined based on the multi-objective function and the actual available power as system operation constraints.

4. The potential assessment method according to claim 3, characterized in that: The multi-objective function minF is shown in the following formula: Where: λ1, λ2, λ3 are weight coefficients; F1 is the energy hub cost, F2 is the amount of wind and solar power abandoned, F3 is the peak-to-valley difference of the energy hub, and F 1，min is the minimum energy hub cost, F 2，min is the minimum amount of wind and solar power curtailment, F 3，min is the peak-to-valley difference of the minimum energy hub, F 1，max is the maximum energy hub cost, F 2，max is the maximum amount of wind and solar power abandoned, F 3，max It is the peak and valley of the largest energy hub.

5. The potential assessment method according to claim 1, characterized in that: The energy hub peak-shaving power model includes: an electrolytic cell peak-shaving power model, a fuel cell peak-shaving power model and a hydrogen storage tank peak-shaving capacity model.

6. The potential assessment method according to claim 5, characterized in that: The electrolytic cell peak load model is shown in the following formula: Where: The actual available power for upward peak regulation of the electrolytic cell; To peak the power of the electrolytic cell upwards; The actual available power for downward peak regulation of the electrolytic cell; The electrolytic cell is used to adjust the peak power downward; μ EC (t) is the actual availability of the electrolytic cell at time t.

7. The potential assessment method according to claim 5, characterized in that: The fuel cell peak load model is shown in the following formula: Where: The actual available power for upward peak shifting of fuel cells; To peak the power upward for the fuel cell; The actual available power for downward peak shifting of fuel cells; The fuel cell is used to regulate the peak power downward; μ FC (t) is the actual availability of the fuel cell at time t.

8. The potential assessment method according to claim 5, characterized in that: The peak load regulation capacity model of the hydrogen storage tank is shown as follows: Where: HS up，real (t) is the actual amount of hydrogen available for peak load regulation in the hydrogen storage tank; HS up (t) is the upward peak-shaving capacity of the hydrogen storage tank; HS down，real (t) is the actual amount of hydrogen available for downward peak regulation in the hydrogen storage tank; HS down (t) is the downward peak regulation capacity of the hydrogen storage tank; μ HS (t) is the actual availability of the hydrogen storage tank at time t.

9. The potential assessment method according to claim 1, characterized in that: The step of evaluating the peak load regulation potential of the electric-hydrogen coupled energy hub according to the net load value and the total dispatch time of the energy hub corresponding to the optimal target value includes: Based on the net load value and total dispatch time of the energy hub corresponding to the optimal target value, the average load of the electric-hydrogen coupled energy hub is calculated; Based on the average load of the energy hub, the upper and lower limits of the grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub are calculated in combination with the grid-connected peak-shaving potential expression; The grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub is determined by the upper and lower limits of the grid-connected peak-shaving potential.

10. The potential assessment method according to claim 9, characterized in that: The grid-connected peak load potential expression is as follows: Where P up is the upper limit of the grid-connected peak-shaving potential of the energy hub, P down is the upper limit of the grid-connected peak-shaving potential of the energy hub, P paryload (t) is the net load of the energy hub during period t; P load (t) is the response load of the energy hub during period t, is the average load of the energy hub.

11. A peak load potential assessment system for an electricity-hydrogen coupled energy hub, characterized in that: include: Parameter acquisition module, calculation module, peak regulation module and potential assessment module; The parameter acquisition module is used to obtain the new energy output of the energy hub and the parameters of each electric-hydrogen coupled energy hub equipment; The calculation module is used to obtain the actual available power for peak regulation of the electric-hydrogen coupling equipment based on the output of the new energy and the parameters of each electric-hydrogen coupling equipment in combination with a pre-constructed energy hub peak regulation power model; The peak-shaving module: based on the actual power that can be participated in the peak-shaving of the electric-hydrogen coupling equipment, the output of the new energy and the equipment parameters combined with the pre-built energy hub peak-shaving target model, obtains the optimal target value for the electric-hydrogen coupling equipment to participate in the peak-shaving; The potential assessment module is used to assess the grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub according to the net load value and the total dispatch time of the energy hub corresponding to the optimal target value; Among them, the energy hub peak-shaving target model is constructed with the goal of minimizing the peak-shaving cost, wind and solar power abandonment, and peak-to-valley difference rate of the electric-hydrogen coupled energy hub, and the actual power that can be participated in the peak-shaving of the electric-hydrogen coupled equipment as the system operation constraint condition.

12. The potential assessment system according to claim 11, characterized in that: The parameter acquisition module is specifically used for: Obtain the abandoned wind power generation and abandoned photovoltaic power generation and load conditions of the electricity-hydrogen coupled energy hub; Obtain the power output characteristics and regulation rate of the electric-hydrogen coupling equipment in the electric-hydrogen coupling energy hub; Obtain the response cost of the electric-hydrogen coupling equipment in the electric-hydrogen coupling energy hub; Among them, the electric-hydrogen coupling equipment includes: electrolytic cells, fuel cells and hydrogen storage tanks.

13. The potential assessment system according to claim 11, characterized in that: Also included are model building modules for: The peak-shaving cost model of energy hub is constructed with the goal of minimizing the peak-shaving cost of the electricity-hydrogen coupled energy hub; A wind and solar power abandonment model is constructed with the goal of minimizing the wind power abandonment and photovoltaic power abandonment in the electric-hydrogen coupled energy hub. The net load model of energy hub is constructed with the goal of minimizing the net load of the electricity-hydrogen coupled energy hub; A peak-valley difference rate model is constructed with the goal of minimizing the peak-valley difference rate of the electricity-hydrogen coupling energy hub; The energy hub peak-shaving cost model, wind and solar power abandonment model, energy hub net load and peak-valley difference rate model constructed respectively are normalized to construct a multi-objective function; The energy hub peak load regulation target model is determined based on the multi-objective function and the actual available power as system operation constraints.

14. The potential assessment system according to claim 13, characterized in that: The multi-objective model minF is shown as follows: Where: λ1, λ2, λ3 are weight coefficients; F1 is the energy hub cost, F2 is the amount of wind and solar power abandoned, F3 is the peak-to-valley difference of the energy hub, and F 1，min is the minimum energy hub cost, F 2，min is the minimum amount of wind and solar power curtailment, F 3，min is the peak-to-valley difference of the minimum energy hub, F 1，max is the maximum energy hub cost, F 2，max is the maximum amount of wind and solar power abandoned, F 3，max It is the peak and valley of the largest energy hub.

15. The potential assessment system according to claim 11, characterized in that: The potential assessment module is specifically used for: Based on the net load value and total dispatch time of the energy hub corresponding to the optimal target value, the average load of the electric-hydrogen coupled energy hub is calculated; Based on the average load of the energy hub, the upper and lower limits of the grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub are calculated in combination with the grid-connected peak-shaving potential expression of the energy hub; The grid-connected peak-shaving potential of the electric-hydrogen coupled energy hub is determined by the upper and lower limits of the grid-connected peak-shaving potential.

16. A computer device, characterized in that: include: at least one processor and memory; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, a method for assessing the peak-shaving potential of an electric-hydrogen coupled energy hub as described in any one of claims 1 to 10 is implemented.

17. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, a method for evaluating the peak-shaving potential of an electric-hydrogen coupled energy hub as described in any one of claims 1 to 10 is implemented.

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