Park load operation control method, device and storage medium based on load time shifting

Abstract

The present invention provides a method, device and storage medium for controlling the operation of a park load based on load time shift, belonging to the technical field of power systems. The method includes: constructing an optimized model for the electrical load of the living and office areas participating in photovoltaic power generation; solving the optimal solution of the optimized model for the electrical load of the living and office areas participating in photovoltaic power generation; and controlling the operation state of the electrical load in the electrical load module of the living and office areas based on the usage time sequence. By designing an optimal optimization control method for the operation of the park load with the goal of maximizing the consumption of photovoltaic power, the present invention can adjust the operation time period of the controllable load according to the change law of the output power of the distributed photovoltaic power source, reduce the light curtailment rate of the distributed photovoltaic, reduce the power purchase cost, realize the local consumption of distributed energy, and thus ensure the maximization of the local consumption of photovoltaic power.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular, to a method, device, and storage medium for controlling the operation of a park load based on load time shift. Background Art

[0002] With the gradual advancement of the rooftop photovoltaic pilot work, the problem of photovoltaic power consumption has become increasingly prominent.

[0003] In the prior art, as the electricity load demand in the park steadily increases, large-scale distributed photovoltaics are connected to the distribution network. Distributed photovoltaic power generation is a rising new energy source. It is a distributed power generation system that directly converts solar energy into electrical energy through photovoltaic modules. Connecting distributed photovoltaics as an energy source to living and working areas is also an important new approach.

[0004] However, in the prior art, when distributed photovoltaics are connected as an energy source to living and working areas, although they can provide some energy, due to the uncertainty of photovoltaic output, the source-load matching degree is low, resulting in a large system light curtailment rate, and the lowest cost cannot be controlled, thus the maximum consumption of distributed photovoltaics cannot be achieved. Summary of the Invention

[0005] The present invention provides a method, device, and storage medium for controlling the operation of a park load based on load time shift to solve the defect of low photovoltaic consumption rate in the prior art.

[0006] The present invention provides a method for controlling the operation of a park load based on load time shift, including:

[0007] Constructing an optimization model for the electrical load of the living and working area participating in photovoltaic power generation; the optimization model includes a photovoltaic power generation system module and an electrical load module of the living and working area; the electrical loads in the electrical load module of the living and working area include lighting lamps, household air conditioners, induction cookers, electric vehicle charging piles, and circulating ventilators; the optimization model takes the maximization of photovoltaic power consumption as the objective function; the constraint conditions of the optimization model include equipment output constraints, environmental condition constraints, and power balance constraints;

[0008] Solving the optimal solution of the optimization model for the electrical load of the living and working area participating in photovoltaic power generation; the optimal solution is the usage time sequence of the electrical loads in the electrical load module of the living and working area;

[0009] Controlling the operation state of the electrical loads in the electrical load module of the living and working area based on the usage time sequence.

[0010] Optionally, the output power expression of the photovoltaic power generation system module is as follows:

[0011] P = VI

[0012] I = I′ SC(1 - C1{exp[V / C2V′ OC - 1})

[0013] C2 = (V′ max / V′ OC - 1)[ln(1 - I′ max / I′ SC )] -1

[0014] C1 = (1 - I′ max / I′ SC )exp[-(V′ max / (C2V′ OC )]

[0015] I′ SC = I SC ×(G / 1000)(1 + 0.0025(T air + K·G - 25))

[0016] V′ OC = V OC (1 - 0.00288(T air + K·G - 25))ln(e + 0.5((G / 1000)-1))

[0017] I′ max = I max ×(G / 1000)(1 + 0.0025(T air + K·G - 25))

[0018] V′ max = V max (1 - 0.00288(T air + K·G - 25))ln(e + 0.5((G / 1000)-1))

[0019] Among them, P represents the output power of the photovoltaic power generation system module, V represents the output voltage of the photovoltaic power generation system module, I represents the output current of the photovoltaic power generation system module, I′ SC represents the short - circuit current of the photovoltaic power generation system module under actual conditions, exp represents the exponential function with the natural constant e as the base, V′ OC represents the open - circuit voltage of the photovoltaic power generation system module under actual conditions, V′ max represents the maximum power point voltage of the photovoltaic power generation system module under actual conditions, ln represents the logarithm with the constant e as the base, I′ max represents the maximum power point current of the photovoltaic power generation system module under actual conditions, I SC represents the short - circuit current of the photovoltaic power generation system module under standard conditions, G represents the irradiance intensity, T airrepresents the ambient temperature, K represents the temperature coefficient of the solar cell, V OC represents the open-circuit voltage of the photovoltaic power generation system module under standard conditions, I max represents the maximum power point current of the photovoltaic power generation system module under standard conditions, V max represents the maximum power point voltage of the photovoltaic power generation system module under standard conditions.

[0020] Optionally, the energy consumption expression of the electrical load in the living and office area electrical load module is as follows:

[0021]

[0022] W ALL (t) = (P ZM (t) + P KT (t) + P DCL (t) + P DDQC (t) + P CF (t)) · Δt

[0023] Among them, W ALL (t) represents the total energy consumption of the electrical load in the living and office area electrical load module at time t, n represents the number of load types, p i (t) represents the power of the i-th load at time t, Δt represents the time period length, P ZM (t) represents the power of the lighting lamp at time t, P KT (t) represents the power of the household air conditioner at time t, P DCL (t) represents the power of the induction cooker at time t, P DDQC (t) represents the power of the electric vehicle charging pile at time t, p CF (t) represents the power of the circulating ventilator at time t.

[0024] Optionally, the lighting lamp power expression is as follows:

[0025] P ZM (t) = P ZM · S it

[0026] Among them, P ZM (t) represents the power of the lighting lamp at time t, P ZM represents the rated power of the lighting lamp, S it represents the working state of the i-th load at time t;

[0027] The household air conditioner power expression is as follows:

[0028] P KT (t) = C KT · P KT · Sit

[0029] Among them, P KT (t) represents the power of the household air conditioner at time t, and C KT represents the heat pump heating coefficient, and P KT represents the rated power of the household air conditioner, and S it represents the working state of the i-th load at time t;

[0030] The power expression of the induction cooker is as follows:

[0031] P DCL (t) = P DCL ·S it

[0032] Among them, P DCL (t) represents the power of the induction cooker at time t, and P DCL represents the rated power of the induction cooker, and S it represents the working state of the i-th load at time t;

[0033] The power expression of the electric vehicle charging pile is as follows:

[0034]

[0035] Among them, P DDQC (t) represents the power of the electric vehicle charging pile at time t, n represents the number of electric vehicle charging piles, and P DDQC represents the rated power of a single electric vehicle charging pile, and S it represents the working state of the i-th load at time t;

[0036] The power expression of the circulation ventilator is as follows:

[0037] P CF (t) = P CF ·S it

[0038] Among them, P CF (t) represents the power of the circulation ventilator at time t, and P CF represents the rated power of the circulation ventilator, and S it represents the working state of the i-th load at time t.

[0039] Optionally, the expression of the objective function is as follows:

[0040] minG = w1G1 + w2G2

[0041] Among them, G represents the overall optimization goal, w1 represents the weight value corresponding to the load-source matching degree, G1 represents the load-source matching degree, w2 represents the weight value corresponding to the grid power purchase cost, and G2 represents the grid power purchase cost.

[0042] Optionally, the expression for the load-source matching degree is as follows:

[0043] G1 = |1 - λ|

[0044]

[0045] W PV (t) = V′ max (t)·I·Δt

[0046] Among them, G1 represents the load-source matching degree, λ represents the ratio of the minimum value to the maximum value of the total daily energy consumption of all electrical loads in the living and office area electrical load module and the energy output by the photovoltaic power generation system module operating at the maximum power point state, W ALL (t) represents the total energy consumption of the electrical load in the living and office area electrical load module at time t, W PV (t) represents the energy output by the photovoltaic power generation system module operating at the maximum power point state at time t, V′ max (t) represents the maximum power point voltage of the photovoltaic power generation system module at time t, I represents the output current of the photovoltaic power generation system module, and Δt represents the time period length;

[0047] The expression for the grid power purchase cost is as follows:

[0048]

[0049]

[0050] Among them, G2 represents the grid power purchase cost, C ebuy represents the electricity price, Δt represents the time period length, P N (t) represents the electric power that needs to be purchased from the grid at time t, V′ max (t) represents the maximum power point voltage of the photovoltaic power generation system module at time t, I represents the output current of the photovoltaic power generation system module, n represents the number of load types, P i (t) represents the power of the i-th load at time t.

[0051] Optionally, the expression for the equipment output constraint is as follows:

[0052] P ch·min ≤P ch (t)≤P ch·max

[0053] P dis·min ≤Pdis P(t) ≤ P dis·max

[0054] C min C ≤ C(t) ≤ C max

[0055] P pv-min ≤ P pv P(t) ≤ P pv-max

[0056] Wherein, P ch·min represents the minimum value of the charging power of the photovoltaic power generation system module, P ch (t) represents the charging power of the photovoltaic power generation system module at time t, P ch·max represents the maximum value of the charging power of the photovoltaic power generation system module, P dis·min represents the minimum value of the discharging power of the photovoltaic power generation system module, P dis (t) represents the discharging power of the photovoltaic power generation system module at time t, P dis·max represents the maximum value of the discharging power of the photovoltaic power generation system module, C min represents the upper boundary of the energy storage capacity of the photovoltaic power generation system module, C(t) represents the energy storage capacity of the photovoltaic power generation system module at time t, C max represents the lower boundary of the energy storage capacity of the photovoltaic power generation system module, P pv-min represents the minimum value of the output power of the photovoltaic power generation system module, P pv (t) represents the output power of the photovoltaic power generation system module at time t, P pv-max represents the maximum value of the output power of the photovoltaic power generation system module;

[0057] The expression of the environmental condition constraint is as follows:

[0058] T min T ≤ T(t) ≤ T max

[0059] ρ min ρ ≤ ρ(t) ≤ ρ max

[0060] Wherein, T min represents the minimum value of the indoor temperature, T(t) represents the indoor temperature at time t, T max represents the maximum value of the indoor temperature, ρ min represents the minimum value of the density of indoor toxic and harmful gases, ρ(t) represents the density of indoor toxic and harmful gases at time t, ρ max represents the maximum value of the density of indoor toxic and harmful gases;

[0061] The expression of the power balance constraint is as follows:

[0062] PALL P(t) = pv P(t) + grid P(t)

[0063] Wherein, ALL P(t) represents the total power of the electricity load in the living and office area electricity load module during the t period, pv P(t) represents the output power of the photovoltaic power generation system module during the t period, grid P(t) represents the total power of the power grid supply in the living and office area during the t period.

[0064] The present invention also provides a park load operation control device based on load time shifting, including:

[0065] A construction module, configured to construct an optimized model of the electricity load participating in photovoltaic power generation in the living and office area; the optimized model includes a photovoltaic power generation system module and a living and office area electricity load module; the electricity load in the living and office area electricity load module includes lighting lamps, household air conditioners, induction cookers, electric vehicle charging piles, and circulating ventilators; the optimized model takes maximizing the consumption of photovoltaic power as the objective function; the constraint conditions of the optimized model include equipment output constraints, environmental condition constraints, and power balance constraints;

[0066] A solution module, configured to solve the optimal solution of the optimized model of the electricity load participating in photovoltaic power generation in the living and office area; the optimal solution is the usage time sequence of the electricity load in the living and office area electricity load module;

[0067] A control module, configured to control the operation state of the electricity load in the living and office area electricity load module based on the usage time sequence.

[0068] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, it implements the park load operation control method based on load time shifting as described in any one of the above.

[0069] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the park load operation control method based on load time shifting as described in any one of the above.

[0070] The present invention also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the park load operation control method based on load time shifting as described in any one of the above.

[0071] The present invention provides a method, device, and storage medium for controlling the operation of a park load based on load time shift. By designing an optimal control method for the operation of a park load with the goal of maximizing the consumption of photovoltaic power, it is possible to adjust the operation time period of controllable loads according to the variation law of the output power of distributed photovoltaic power sources, reduce the curtailment rate of distributed photovoltaics, reduce the power purchase cost, achieve the local consumption of distributed energy, and thus ensure the maximization of local consumption of photovoltaic power. Description of the Drawings

[0072] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0073] Figure 1 It is a schematic flow chart of the method for controlling the operation of a park load based on load time shift provided by the present invention;

[0074] Figure 2 It is a flow chart of the source-load interaction optimization algorithm for the living and office areas of the present invention;

[0075] Figure 3 It is a diagram of the program convergence process of the present invention;

[0076] Figure 4 It is a curve graph showing the variation of the output power of the photovoltaic power generation system module of the present invention with time;

[0077] Figure 5 It is a diagram of the operation plan of the electricity load in the living and office area load module of the present invention;

[0078] Figure 6 It is a schematic structural diagram of the device for controlling the operation of a park load based on load time shift provided by the present invention;

[0079] Figure 7 It is a schematic structural diagram of the electronic device provided by the present invention. Detailed Embodiments

[0080] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention in conjunction with the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0081] Figure 1It is a flowchart of the method for controlling the operation of the park load based on load time shifting provided by the present invention. As Figure 1 shown, the method for controlling the operation of the park load based on load time shifting provided by the present invention may include:

[0082] Step 101: Construct an optimization model for the electrical load of the living and working area participating in photovoltaic power generation; the optimization model includes a photovoltaic power generation system module and an electrical load module of the living and working area; the electrical loads in the electrical load module of the living and working area include lighting lamps, household air conditioners, induction cookers, electric vehicle chargers, and circulating ventilators; the optimization model takes the maximization of photovoltaic power consumption as the objective function; the constraint conditions of the optimization model include equipment output constraints, environmental condition constraints, and power balance constraints.

[0083] Specifically, the present invention constructs an optimization model for the electrical load of the living and working area participating in photovoltaic power generation, which is divided into two aspects. One is the photovoltaic power generation system module, and the other is the electrical load module of the living and working area. Among them, the electrical loads may include lighting lamps, household air conditioners, induction cookers, electric vehicle chargers, and circulating ventilators. And this optimization model takes the maximization of photovoltaic power consumption as the objective function, and can consider equipment output constraints, environmental condition constraints, and power balance constraints.

[0084] Among them, the electrical load refers to the electrical equipment used in the living and working area.

[0085] Step 102: Solve the optimal solution of the optimization model for the electrical load of the living and working area participating in photovoltaic power generation; the optimal solution is the usage time sequence of the electrical loads in the electrical load module of the living and working area.

[0086] Specifically, the optimization model for the electrical load of the living and working area participating in photovoltaic power generation considers one day as the operation cycle. Under the condition of meeting user needs, the optimal solution is obtained according to the optimization algorithm, so as to obtain the optimal usage time sequence of the electrical loads.

[0087] In some embodiments, Figure 2 It is a flowchart of the optimization algorithm for the interaction between the power source and load in the living and working area of the present invention. As Figure 2 shown, this algorithm combines the advantages of the particle swarm optimization algorithm and the genetic algorithm, and is applicable to various typical scenarios of living and working. The present invention improves the model for this typical scenario of the living and working area, and conducts optimization research on representative loads, which may include lighting loads, heating (cooling) loads, accommodation and dining electrical loads, and electric vehicle loads. In the process of seeking the optimal solution, the individual solutions reproduce based on the previous optimal solutions, and the two individual solutions search and evolve separately, and a threshold is taken as the end condition of evolution.

[0088] Among them, the basic idea of the Particle Swarm Optimization (PSO) algorithm is as follows: The design inspiration of the particle swarm algorithm comes from the social behaviors of bird flocks and fish schools. It is a swarm intelligence optimization algorithm with strong anti-interference ability and memory function. During the optimization process, the number of spatial dimensions where the particles in the particle swarm are located is the number of variables of the problem to be solved. An appropriate number of particles is initialized in the solution space. The particles can be distributed in the solution space according to certain rules or randomly. The position of each particle in the solution space is a potential optimal solution to the problem.

[0089] Among them, the Genetic Algorithm (GA) is evolved through computer simulation of biological systems. The theoretical basis of GA comes from the biological evolution mechanism in nature and combines Darwin's theory of evolution and Mendel's genetic theory on this basis. It is an efficient, parallel, random, and global search and optimization method.

[0090] In some embodiments, the specific steps for optimizing the detector using the genetic algorithm are as follows:

[0091] Step 1: Evaluate the individual fitness corresponding to each chromosome. Consider the chromosome as a detector, and the individual fitness corresponding to each chromosome represents the matching degree of the detector to non-self elements.

[0092] Step 2: Follow the principle that the higher the fitness, the greater the selection probability, that is, the higher the matching degree of the detector to non-self elements, the greater the probability that the detector becomes a mature detector.

[0093] Step 3: Select two individuals from the set of mature detectors as the father and mother, and generate offspring by crossing the father and mother detectors according to the matching degree.

[0094] Step 4: Mutate the offspring.

[0095] Step 5: Determine whether the detectors in the detector set are continuously updated as the number of iterations increases. When the detectors stop updating or reach the upper limit of the number of iterations, output the result; otherwise, return to Step 1 and repeat the loop.

[0096] The source-load interaction optimization algorithm for the living and working area of the present invention first inputs the typical load types and corresponding rated powers in the living and working area. It can input the characteristic parameters of the photovoltaic panels under standard conditions or the time-of-use electricity price in the region. Then, the system is initialized, and a preset threshold is input. When the population optimal solution is greater than the preset threshold, the individual solution is updated at this time, that is, mutation occurs. Then, it is checked whether the updated individual solutions all satisfy the constraint conditions. If the constraint conditions are satisfied, the minimum value of the current objective function is calculated, and the optimal solution is updated. The updated optimal solution is compared with the threshold again and starts over. If the constraint conditions are not satisfied, the individual solution is updated again. When the population optimal solution is less than the preset threshold, the position of the optimal solution is output at this time, that is, when the objective function is the optimal solution, the optimal usage time sequence of the electricity load can be obtained.

[0097] Among them, the population optimal solution is the optimal solution of the objective function with the maximization of photovoltaic power consumption. The population consists of two individuals. For example, two individual solutions arranged alternately with 0 and 1 are generated as the initial population, and the two initial individual solutions are complementary. The updated individual solution is the individual solution that performs a separate random search and evolution. The gene values at some gene loci of the individual strings in the population are changed, so as to accelerate the convergence to the optimal solution. Among them, 0 means that the electricity load is in a non-working state, and 1 means that the electricity load is in a working state.

[0098] For example, Figure 3 is the program convergence process diagram of the present invention. As Figure 3 shown, the convergence speed of this algorithm is relatively fast in the early stage and relatively slow in the later stage. Since the threshold is used as the iteration termination condition, the convergence accuracy can be guaranteed. The number of iterations is around 5000 times. If the threshold can be reasonably set to 150000000, the number of iterations will be significantly reduced to about 1500 times, and the program can converge quickly on the premise of ensuring the optimization effect.

[0099] In some embodiments, the typical load types and corresponding rated powers in the living and working area can be, for example, the typical load types and rated powers in a certain living and working area in a certain region. See Table 1:

[0100] Table 1

[0101]

[0102] In some embodiments, the characteristic parameters of the photovoltaic panels under standard conditions can be, for example, short-circuit current 98.4A, open-circuit voltage 986V, maximum power point current 92.5A, and maximum power point voltage 790V.

[0103] In some embodiments, the time-of-use electricity price can be, for example, the latest adjustment information of peak and valley electricity prices in a certain area: 8 am to 12 noon: 1.08 yuan per kilowatt-hour, 12 noon to 5 pm: 0.64 yuan per kilowatt-hour, 17 pm to 9 pm: 1.08 yuan per kilowatt-hour, 9 pm to midnight: 0.64 yuan per kilowatt-hour, and midnight to 8 am: 0.31 yuan per kilowatt-hour.

[0104] In some embodiments, the threshold may be, for example, a threshold of 80000000.

[0105] Step 103: Control the operating state of the power load in the power load module of the living and office area based on the usage sequence.

[0106] Specifically, after the optimal usage sequence is obtained according to the algorithm, the power load of the power load module in the living and office area controls the operating state of the power load according to the optimal usage sequence.

[0107] The park load operation control method based on load time shifting provided by the present invention, by designing the optimal optimization control method of park load operation with the goal of maximizing photovoltaic power consumption, can adjust the operating time period of the controllable load according to the changing law of the output power of the distributed photovoltaic power source, thereby reducing the abandoned light rate of distributed photovoltaics, reducing the cost of purchasing electricity, and realizing the local consumption of distributed energy, thereby ensuring the maximization of the local consumption of photovoltaic power.

[0108] Optionally, the output power expression of the photovoltaic power generation system module is as follows:

[0109] P=VI

[0110] i=i′ SC (1-C1{exp[V / C2V′ OG ]-1})

[0111] C2=(V′ max / V′ OC -1)[ln(1-I′ max / I′ SC )] -1

[0112] C1=(1-I′ max / I′ SC )exp[-(V′ max / (C2V′ OC )]

[0113] I′ SC =I SC ×(G / 1000)(1+0.0025(T air +K·G-25))

[0114] V′OC = V OC (1 - 0.00288(T air + K·G - 25))ln(e + 0.5((G / 1000) - 1))

[0115] I′ max = I max ×(G / 1000)(1 + 0.0025(T air + K·G - 25))

[0116] V′ max = V max (1 - 0.00288(T air + K·G - 25))ln(e + 0.5((G / 1000) - 1))

[0117] Wherein, P represents the output power of the photovoltaic power generation system module, V represents the output voltage of the photovoltaic power generation system module, I represents the output current of the photovoltaic power generation system module, and I′ SC represents the short - circuit current of the photovoltaic power generation system module under actual conditions, exp represents the exponential function with the natural constant e as the base, and V′ OC represents the open - circuit voltage of the photovoltaic power generation system module under actual conditions, and V′ max represents the maximum power point voltage of the photovoltaic power generation system module under actual conditions, ln represents the logarithm with the constant e as the base, and I′ max represents the maximum power point current of the photovoltaic power generation system module under actual conditions, and I SC represents the short - circuit current of the photovoltaic power generation system module under standard conditions, G represents the irradiation intensity, and T air represents the ambient temperature, K represents the temperature coefficient of the solar cell, and V OC represents the open - circuit voltage of the photovoltaic power generation system module under standard conditions, and I max represents the maximum power point current of the photovoltaic power generation system module under standard conditions, and V max represents the maximum power point voltage of the photovoltaic power generation system module under standard conditions.

[0118] Specifically, the electric load optimization model for the photovoltaic power generation in the living and office area can be divided into two aspects. One is the photovoltaic power generation system module, which uses solar photovoltaic cells to directly convert solar radiant energy into electrical energy for power generation, and it can be expressed that according to the changes in conditions such as sunlight and temperature, the output power of the photovoltaic cells under actual conditions is also different.

[0119] In a photovoltaic control system, due to changes in conditions such as sunlight and temperature, the output power of the battery is also constantly changing according to the actual situation. In order to ensure that the power of the photovoltaic cell remains at the maximum point, the output voltage of the photovoltaic cell can be adjusted. The solar controller (Maximum Power Point Tracking, MPPT) algorithm can be used for adjustment. For example, the MPPT algorithm can include constant voltage tracking method, power feedback method, disturbance observation method and admittance increment method.

[0120] The present invention uses the admittance increment method. The conductance increment method maximizes the output power by changing the rate of change of the output current and voltage of the battery array. For example, assuming the output power of the battery array is:

[0121] P=UI

[0122] Wherein, U represents the output voltage of the photovoltaic power generation system module and I represents the output current of the photovoltaic power generation system module.

[0123] At this time, taking the derivative of the voltage U on both sides of the equation, we can get:

[0124]

[0125] Among them, when When it is 0, the PV module outputs the maximum power and works at the maximum power point, and the disturbance should be stopped.

[0126] The park load operation control method based on load time shifting provided by the present invention, by designing the optimal optimization control method of park load operation with the goal of maximizing photovoltaic power consumption, can adjust the operating time period of the controllable load according to the changing law of the output power of the distributed photovoltaic power source, thereby reducing the abandoned light rate of distributed photovoltaics, reducing the cost of purchasing electricity, and realizing the local consumption of distributed energy, thereby ensuring the maximization of the local consumption of photovoltaic power.

[0127] Optionally, the energy consumption expression of the power load in the power load module of the living and office area is as follows:

[0128]

[0129] W ALL (t)=(P ZM (t)+P KT (t)+P DCL (t)+P DDQC (t)+P CF (t))·Δt

[0130] Among them, W ALL (t) represents the total energy consumption of the electric load in the electric load module of the living and office area in the t period, n represents the number of load types, Pi (t) represents the power of the i-th type of load at time t, Δt represents the time interval length, P ZM (t) represents the power of the lighting fixture at time t, P KT (t) represents the power of the household air conditioner at time t, P DCL (t) represents the power of the induction cooker at time t, P DDQC (t) represents the power of the electric vehicle charging pile at time t, P CF (t) represents the power of the circulating ventilator at time t.

[0131] Specifically, the second part of the optimized model for electrical loads participating in photovoltaic power generation in the living and office area is the electrical load module of the living and office area. Calculate the power of each electrical device, then calculate the total energy consumption of the electrical loads in the electrical load module of the living and office area, and then use the interruptible and time-shiftable characteristics of the load. According to the variation law of the output power of the photovoltaic cell with time, adjust the operation time period of the controllable load, so that the photovoltaic power consumption rate in the living and office area is maximized and the operation cost reaches the minimum value.

[0132] Among them, the electrical loads in the electrical load module of the living and office area can include: lighting fixtures, household air conditioners, induction cookers, circulating ventilators, 1 AC charging pile, and 2 DC charging piles. Among them, the circulating ventilator, AC charging pile, and 2 DC charging piles are interruptible and time-shiftable loads, and the lighting fixtures and household air conditioners are interruptible loads. The method for controlling the operation of park loads based on load time shift provided by the present invention can, by designing an optimal control method for the operation of park loads with the goal of maximizing the consumption of photovoltaic power, adjust the operation time period of the controllable load according to the variation law of the output power of distributed photovoltaic power sources, reduce the light curtailment rate of distributed photovoltaics, reduce the power purchase cost, realize the local consumption of distributed energy, and thus ensure the maximization of local consumption of photovoltaic power.

[0133] Optionally, the power expression of the lighting fixture is as follows:

[0134] P ZM (t) = P ZM ·S it

[0135] Among them, P ZM (t) represents the power of the lighting fixture at time t, P ZM represents the rated power of the lighting fixture, S it represents the working state of the i-th type of load at time t;

[0136] The power expression of the household air conditioner is as follows:

[0137] P KT (t) = C KT ·P KT ·S it

[0138] Among them, P KT (t) represents the power of the household air conditioner in the t period, and C KT represents the heat pump heating coefficient, and P KT represents the rated power of the household air conditioner, and S it represents the working state of the i-th load in the t period;

[0139] The power expression of the induction cooker is as follows:

[0140] P DCL (t) = P DCL ·S it

[0141] Among them, P DCL (t) represents the power of the induction cooker in the t period, and P DCL represents the rated power of the induction cooker, and S it represents the working state of the i-th load in the t period;

[0142] The power expression of the electric vehicle charging pile is as follows:

[0143]

[0144] Among them, P DDQC (t) represents the power of the electric vehicle charging pile in the t period, n represents the number of electric vehicle charging piles, and P DDQC represents the rated power of a single electric vehicle charging pile, and S it represents the working state of the i-th load in the t period;

[0145] The power expression of the circulation ventilator is as follows:

[0146] P CF (t) = P CF ·S it

[0147] Among them, P CF (t) represents the power of the circulation ventilator in the t period, and P CF represents the rated power of the circulation ventilator, and S it represents the working state of the i-th load in the t period.

[0148] Specifically, calculate the power of each electrical load in the living and office area electrical load module.

[0149] Among them, when S it is 1, it means the device is working; when S it is 0, it means the device is not working, and the power of the electrical device at this time is also 0.

[0150] In some embodiments, for example, the distributed photovoltaic installed capacity of a certain living and working area is 72KW. Figure 4 It is the curve graph of the output power of the photovoltaic power generation system module of the present invention changing with time. As Figure 4 shown, the output power of the photovoltaic power generation system module is the largest from 12:00 to 13:00. Therefore, some shiftable loads can be adjusted to operate during this period. The output power of the photovoltaic power generation system module is close to 0 from 0:00 to 6:00 or from 19:00 to 0:00. Therefore, fewer shiftable loads can be adjusted to operate during this period. For example, by adopting the optimal solution calculated in the embodiments of the present application, a certain living and working area controls the electrical load according to the optimized usage time sequence obtained from the calculated optimal solution. Taking 0:00 to 24:00 as an example, where the time scale within a day is divided into 0.5-hour intervals, there are 48 points in a day. 0 indicates that the electrical load is not in the working state, and 1 indicates that the electrical load is in the working state. The electrical load control scheme for a certain living and working area is given in Table 2:

[0151] Table 2

[0152]

[0153]

[0154] Figure 5 It is the operation scheme graph of the electrical load in the living and working area electrical load module of the present invention. As Figure 5 shown, by adjusting the operation period of the shiftable load in the present invention, the load curve tends to be consistent with the distributed photovoltaic output curve, and the load value at most times is less than the photovoltaic output power. Among them, the smaller the difference between the total load and the total output, the smaller the light curtailment rate, and the local consumption of distributed energy is basically realized.

[0155] The method for controlling the operation of the park load based on load time shift provided by the present invention can adjust the operation period of the controllable load according to the change law of the output power of the distributed photovoltaic power source by designing an optimal optimization control method for the operation of the park load with the goal of maximizing the photovoltaic power consumption. It reduces the light curtailment rate of the distributed photovoltaic, reduces the power purchase cost, realizes the local consumption of distributed energy, and thus ensures the maximization of the local consumption of photovoltaic power.

[0156] Optionally, the expression of the objective function is as follows:

[0157] minG = w1G1 + w2G2

[0158] Where G represents the overall optimization goal, w1 represents the weight value corresponding to the load-source matching degree, G1 represents the load-source matching degree, w2 represents the weight value corresponding to the grid power purchase cost, and G2 represents the grid power purchase cost.

[0159] Specifically, the present invention adjusts the operating time period of the controllable load according to the interruptible and time-shiftable characteristics of the load, and can comprehensively consider the two factors of the load-source matching degree and the power purchase cost of the power grid to achieve the goal of maximizing the photovoltaic absorption rate in the living and office areas and minimizing the operating cost.

[0160] Among them, weight values may be set for the two factors, for example, the weight value corresponding to the load-source matching degree and the weight value corresponding to the power grid purchase cost may be set to, for example, 0.4 and 0.6.

[0161] The park load operation control method based on load time shifting provided by the present invention, by designing the optimal optimization control method of park load operation with the goal of maximizing photovoltaic power consumption, can adjust the operating time period of the controllable load according to the changing law of the output power of the distributed photovoltaic power source, thereby reducing the abandoned light rate of distributed photovoltaics, reducing the cost of purchasing electricity, and realizing the local consumption of distributed energy, thereby ensuring the maximization of the local consumption of photovoltaic power.

[0162] Optionally, the expression of the load-source matching degree is as follows:

[0163] G1=|1-λ|

[0164]

[0165] W PV (t) = V′ max (t)·I·Δt

[0166] Where G1 represents the degree of load-source matching, λ represents the ratio of the minimum to maximum value of the total daily energy consumption of all electrical loads in the electrical load module of the living and office area and the energy output by the photovoltaic power generation system module when working at the maximum power point, W ALL (t) represents the total energy consumption of the electrical load in the electrical load module of the living and office area during the period t, W PV (t) represents the energy output by the photovoltaic power generation system module when it is operating at the maximum power point during the t period, V′ max (t) represents the maximum power point voltage of the photovoltaic power generation system module in the time period t, I represents the output current of the photovoltaic power generation system module, and Δt represents the time period length;

[0167] The expression of the power grid purchasing cost is as follows:

[0168]

[0169]

[0170] Among them, G2 represents the cost of purchasing electricity from the power grid, C ebuy represents the electricity price, Δt represents the time period length, P N(t) represents the electric power that needs to be purchased from the power grid during time period t, V' max (t) represents the maximum power point voltage of the photovoltaic power generation system module during time period t, I represents the output current of the photovoltaic power generation system module, n represents the number of load types, P i (t) represents the power of the i-th load during time period t.

[0171] Specifically, to establish an optimization model for the electrical load participating in photovoltaic power generation in the living and office area, two aspects need to be considered. On the one hand, the matching degree between the load and the power source should be high, and on the other hand, the power purchase cost from the power grid should be low. The matching degree between the load and the power source and the power purchase cost from the power grid can be calculated respectively.

[0172] Among them, λ in the matching degree between the load and the power source i reflects the proportion of the total energy consumption of the electrical load in the living and office area electrical load module to the energy output by the photovoltaic power generation system module operating at the maximum power point. The closer the ratio is to 1, the more synchronous the total energy consumption of the electrical load in the living and office area electrical load module is with the energy output by the photovoltaic power generation system module operating at the maximum power point. Then, the smaller the value of G1, the higher the matching degree between the load and the power source, and the lower the power purchase cost from the power grid. The smaller the value of G2, overall, the smaller the value of G, the higher the overall optimization goal.

[0173] Among them, the electric power that needs to be purchased from the power grid is the difference between the power output at the maximum power point of the photovoltaic power generation system module and the power of the electrical load in the living and office area electrical load module.

[0174] Among them, to reduce the power purchase cost from the power grid, two aspects can be considered. On the one hand, the actual energy consumption of each device can be considered, and distributed photovoltaic panels can be fully utilized. On the other hand, the peak-valley electricity price can be considered. To comprehensively improve the absorption rate of photovoltaic power, users can be guided to use electricity for devices in an orderly manner according to the time-of-use electricity price. For example, the power consumed from the power grid at each moment within a certain day is shown in Table 3:

[0175] Table 3

[0176]

[0177]

[0178] For example, according to the latest adjustment information of the peak-valley electricity price in a certain area: from 8:00 to 12:00 in the morning: 1.08 yuan per degree of electricity, from 12:00 to 17:00 in the afternoon: 0.64 yuan per degree of electricity, from 17:00 to 21:00: 1.08 yuan per degree of electricity, from 21:00 to 0:00: 0.64 yuan per degree of electricity, from 0:00 to 8:00 in the morning: 0.31 yuan per degree of electricity. Then, the operating cost of the living and office area on that day is 60.2012 yuan.

[0179] The park load operation control method based on load time shifting provided by the present invention, by designing the optimal optimization control method of park load operation with the goal of maximizing photovoltaic power consumption, can adjust the operating time period of the controllable load according to the changing law of the output power of the distributed photovoltaic power source, thereby reducing the abandoned light rate of distributed photovoltaics, reducing the cost of purchasing electricity, and realizing the local consumption of distributed energy, thereby ensuring the maximization of the local consumption of photovoltaic power.

[0180] Optionally, the expression of the device output constraint is as follows:

[0181] P ch·min ≤P ch (t)≤P ch·max

[0182] P dis·min ≤P dis (t)≤P dis·max

[0183] C min ≤C(t)≤C max

[0184] P pv-min ≤P pv (t)≤P pv-

[0185] Among them, P ch·min Indicates the minimum value of the charging power of the photovoltaic power generation system module, P ch (t) represents the charging power of the photovoltaic power generation system module in period t, P ch·max Indicates the maximum charging power of the photovoltaic power generation system module, P dis·min Indicates the minimum discharge power of the photovoltaic power generation system module, P dis (t) represents the discharge power of the photovoltaic power generation system module in the period t, P dis·max Indicates the maximum discharge power of the photovoltaic power generation system module, C min represents the upper limit of the energy storage capacity of the photovoltaic power generation system module, C(t) represents the energy storage capacity of the photovoltaic power generation system module in time period t, and C max Represents the lower limit of the energy storage capacity of the photovoltaic power generation system module, P pv-min Indicates the minimum output power of the photovoltaic power generation system module, P pv (t) represents the output power of the photovoltaic power generation system module in period t, P pv-ma Indicates the maximum output power of the photovoltaic power generation system module;

[0186] The expression of the environmental condition constraint is as follows:

[0187] T min ≤T(t)≤T max

[0188] ρ min ≤ρ(t)≤ρ max

[0189] where T min represents the minimum value of the indoor temperature, T(t) represents the indoor temperature at time period t, and T max represents the maximum value of the indoor temperature, and ρ min represents the minimum value of the density of indoor toxic and harmful gases, ρ(t) represents the density of indoor toxic and harmful gases at time period t, and ρ max represents the maximum value of the density of indoor toxic and harmful gases;

[0190] The expression of the power balance constraint is as follows:

[0191] P ALL (t) = P pv (t) + P grid (t)

[0192] where P ALL (t) represents the total power of the electricity load in the living and working area power load module at time period t, P pv (t) represents the output power of the photovoltaic power generation system module at time period t, and P grid (t) represents the total power supplied by the power grid in the living and working area at time period t.

[0193] Specifically, in the entire optimization model, constraint conditions need to be satisfied, and the constraint conditions can include: equipment output constraints, environmental condition constraints, and power balance constraints.

[0194] Among them, in the equipment output constraint conditions, the charging power of the photovoltaic power generation system module shall not be less than the minimum value of the charging power of the photovoltaic power generation system module and shall not be greater than the maximum value of the charging power of the photovoltaic power generation system module; the discharging power of the photovoltaic power generation system module shall not be less than the minimum value of the discharging power of the photovoltaic power generation system module and shall not be greater than the maximum value of the discharging power of the photovoltaic power generation system module; the energy storage capacity of the photovoltaic power generation system module shall not be less than the upper boundary of the energy storage capacity of the photovoltaic power generation system module and shall not be greater than the lower boundary of the energy storage capacity of the photovoltaic power generation system module; the output power of the photovoltaic power generation system module shall not be less than the minimum value of the output power of the photovoltaic power generation system module and shall not be greater than the maximum value of the output power of the photovoltaic power generation system module.

[0195] Among them, in the environmental condition constraints, the indoor temperature needs to meet the conditions, not less than the minimum value of the indoor temperature and not greater than the maximum value of the indoor temperature; the density of indoor toxic and harmful gases also needs to meet the conditions, not less than the minimum value of the density of indoor toxic and harmful gases and not greater than the maximum value of the density of indoor toxic and harmful gases. For example, if the indoor temperature is lower than the preset temperature value, the air conditioner needs to be turned on; if the density of indoor toxic and harmful gases is higher than the preset density value, the circulating ventilator needs to be turned on, that is to say, the indoor temperature and the density of indoor toxic and harmful gases can affect the working duration of indoor equipment.

[0196] Among them, in the power balance constraint, it is necessary to ensure that the total power consumption of the electrical load module in the living and office area is the sum of the output power of the photovoltaic power generation system module and the total power supply of the power grid in the living and office area.

[0197] The method for controlling the operation of the park load based on load time shifting provided by the present invention can adjust the operation time period of the controllable load according to the change rule of the output power of the distributed photovoltaic power source by designing an optimal control method for the operation of the park load with the maximization of photovoltaic power consumption as the goal, reduce the light curtailment rate of the distributed photovoltaic, reduce the power purchase cost, realize the local consumption of distributed energy, and thus ensure the maximization of local consumption of photovoltaic power.

[0198] Figure 6 is a schematic structural diagram of the device for controlling the operation of the park load based on load time shifting provided by the present invention, as Figure 6 shown, the device includes:

[0199] A construction module 610 for constructing an optimized model of the electrical load participating in photovoltaic power generation in the living and office area; the optimization model includes a photovoltaic power generation system module and an electrical load module in the living and office area; the electrical loads in the electrical load module in the living and office area include lighting lamps, household air conditioners, induction cookers, electric vehicle charging piles, and circulating ventilators; the optimization model takes the maximization of photovoltaic power consumption as the objective function; the constraint conditions of the optimization model include equipment output constraints, environmental condition constraints, and power balance constraints;

[0200] A solution module 620 for solving the optimal solution of the optimized model of the electrical load participating in photovoltaic power generation in the living and office area; the optimal solution is the usage timing of the electrical loads in the electrical load module in the living and office area;

[0201] A control module 630 for controlling the operating states of the electrical loads in the electrical load module in the living and office area based on the usage timing.

[0202] Optionally, the expression of the output power of the photovoltaic power generation system module is as follows:

[0203] P = VI

[0204] I = I' SC (1 - C1{exp[V / C2V' OC - 1})

[0205] C2 = (V' max / V' OC - 1)[ln(1 - I' max / I' sC )] -1

[0206] C1 = (1 - I' max / I' SC )exp[-(V' max / (C2V' OC )]

[0207] I' SC = I SC ×(G / 1000)(1 + 0.0025(T air + K·G - 25))

[0208] V' OC = V OC (1 - 0.00288(T air + K·G - 25))ln(e + 0.5((G / 1000) - 1))

[0209] I' max = I max ×(G / 1000)(1 + 0.0025(T air + K·G - 25))

[0210] V' max = V max (1 - 0.00288(T air + K·G - 25))ln(e + 0.5((G / 1000) - 1))

[0211] Among them, P represents the output power of the photovoltaic power generation system module, V represents the output voltage of the photovoltaic power generation system module, I represents the output current of the photovoltaic power generation system module, I' SC represents the short - circuit current of the photovoltaic power generation system module under actual conditions, exp represents the exponential function with the natural constant e as the base, V' OC represents the open - circuit voltage of the photovoltaic power generation system module under actual conditions, V' max represents the maximum power point voltage of the photovoltaic power generation system module under actual conditions, ln represents the logarithm with the constant e as the base, I' max represents the maximum power point current of the photovoltaic power generation system module under actual conditions, I SC represents the short - circuit current of the photovoltaic power generation system module under standard conditions, G represents the irradiance intensity, Tair represents the ambient temperature, K represents the temperature coefficient of the solar cell, V OC represents the open-circuit voltage of the photovoltaic power generation system module under standard conditions, I max represents the maximum power point current of the photovoltaic power generation system module under standard conditions, V max represents the maximum power point voltage of the photovoltaic power generation system module under standard conditions.

[0212] Optionally, the energy consumption expression of the electrical load in the living and office area electrical load module is as follows:

[0213]

[0214] W ALL (t) = (P ZM (t) + P KT (t) + P DCL (t) + P DDQC (t) + P CF (t)) · Δt

[0215] where, W ALL (t) represents the total energy consumption of the electrical load in the living and office area electrical load module at time t, n represents the number of load types, P i (t) represents the power of the i-th load at time t, Δt represents the time period length, P ZM (t) represents the power of the lighting lamp at time t, P KT (t) represents the power of the household air conditioner at time t, P DCL (t) represents the power of the induction cooker at time t, P DDQC (t) represents the power of the electric vehicle charging pile at time t, P CF (t) represents the power of the circulating ventilator at time t.

[0216] Optionally, the lighting lamp power expression is as follows:

[0217] P ZM (t) = P ZM ·S it

[0218] where, P ZM (t) represents the power of the lighting lamp at time t, P ZM represents the rated power of the lighting lamp, S it represents the working state of the i-th load at time t;

[0219] The household air conditioner power expression is as follows:

[0220] P KT (t) = C KT ·P KT·S it

[0221] Among them, P KT (t) represents the power of the household air conditioner in the t period, and C KT represents the heat pump heating coefficient, and P KT represents the rated power of the household air conditioner, and S it represents the working state of the i-th load in the t period;

[0222] The power expression of the induction cooker is as follows:

[0223] P DCL (t) = P DCL ·S it

[0224] Among them, P DCL (t) represents the power of the induction cooker in the t period, and P DCL represents the rated power of the induction cooker, and S it represents the working state of the i-th load in the t period;

[0225] The power expression of the electric vehicle charging pile is as follows:

[0226]

[0227] Among them, P DDQC (t) represents the power of the electric vehicle charging pile in the t period, n represents the number of electric vehicle charging piles, and P DDQC represents the rated power of a single electric vehicle charging pile, and S it represents the working state of the i-th load in the t period;

[0228] The power expression of the circulation ventilator is as follows:

[0229] P CF (t) = P CF ·S it

[0230] Among them, P CF (t) represents the power of the circulation ventilator in the t period, and P CF represents the rated power of the circulation ventilator, and S it represents the working state of the i-th load in the t period.

[0231] Optionally, the expression of the objective function is as follows:

[0232] minG = w1G1 + w2G2

[0233] Among them, G represents the overall optimization goal, w1 represents the weight value corresponding to the load-source matching degree, G1 represents the load-source matching degree, w2 represents the weight value corresponding to the grid power purchase cost, and G2 represents the grid power purchase cost.

[0234] Optionally, the expression of the load-source matching degree is as follows:

[0235] G1 = |1 - λ|

[0236]

[0237] W PV (t) = V′ max (t)·I·Δt

[0238] Among them, G1 represents the load-source matching degree, λ represents the ratio of the minimum value to the maximum value of the total daily energy consumption of all electrical loads in the living and office area electrical load module and the energy output when the photovoltaic power generation system module operates at the maximum power point state, W ALL (t) represents the total energy consumption of the electrical load in the living and office area electrical load module at time t, W PV (t) represents the energy output when the photovoltaic power generation system module operates at the maximum power point state at time t, V′ max (t) represents the maximum power point voltage of the photovoltaic power generation system module at time t, I represents the output current of the photovoltaic power generation system module, and Δt represents the time period length;

[0239] The expression of the grid power purchase cost is as follows:

[0240]

[0241]

[0242] Among them, G2 represents the grid power purchase cost, C ebuy represents the electricity price, Δt represents the time period length, P N (t) represents the electric power to be purchased from the grid at time t, V′ max (t) represents the maximum power point voltage of the photovoltaic power generation system module at time t, I represents the output current of the photovoltaic power generation system module, n represents the number of load types, P i (t) represents the power of the i-th load at time t.

[0243] Optionally, the expression of the equipment output constraint is as follows:

[0244] P ch·min ≤P ch (t)≤P ch·max

[0245] P dis·min≤P dis (t)≤P dis·max

[0246] C min ≤C(t)≤C max

[0247] P pv-min ≤P pv (t)≤P pv

[0248] Among them, P ch·min represents the minimum charging power of the photovoltaic power generation system module, P ch (t) represents the charging power of the photovoltaic power generation system module at time t, P ch·max represents the maximum charging power of the photovoltaic power generation system module, P dis·min represents the minimum discharging power of the photovoltaic power generation system module, P dis (P) represents the discharging power of the photovoltaic power generation system module at time t, P dis·max represents the maximum discharging power of the photovoltaic power generation system module, C min represents the upper boundary of the energy storage capacity of the photovoltaic power generation system module, C(t) represents the energy storage capacity of the photovoltaic power generation system module at time t, C max represents the lower boundary of the energy storage capacity of the photovoltaic power generation system module, P pv-m represents the minimum output power of the photovoltaic power generation system module, P pv (t) represents the output power of the photovoltaic power generation system module at time t, P pv represents the maximum output power of the photovoltaic power generation system module;

[0249] The expression of the environmental condition constraint is as follows:

[0250] T min ≤T(t)≤T max

[0251] ρ min ≤ρ(t)≤ρ max

[0252] Among them, T min represents the minimum indoor temperature, T(t) represents the indoor temperature at time t, T max represents the maximum indoor temperature, ρ min represents the minimum density of indoor toxic and harmful gases, ρ(t) represents the density of indoor toxic and harmful gases at time t, ρ max represents the maximum density of indoor toxic and harmful gases;

[0253] The expression of the power balance constraint is as follows:

[0254] P ALL P(t) = pv P(t) + grid P(t)

[0255] where P ALL (t) represents the total power of the electricity load in the living and working area electricity load module during the t period, P pv (t) represents the output power of the photovoltaic power generation system module during the t period, P grid (t) represents the total power supplied by the power grid in the living and working area during the t period.

[0256] Specifically, the above-mentioned park load operation control device based on load time shift provided by the embodiments of the present application can implement all the method steps implemented by the embodiments of the above-mentioned park load operation control method based on load time shift, and can achieve the same technical effects. The same parts and beneficial effects as those in the method embodiments in this embodiment will not be specifically described herein.

[0257] Figure 7 is a schematic structural diagram of an electronic device provided by the present invention. As Figure 7 shown, the electronic device may include: a processor 710, a communication interface 720, a memory 730, and a communication bus 740. Among them, the processor 710, the communication interface 720, and the memory 730 complete mutual communication through the communication bus 740. The processor 710 can call the logical instructions in the memory 730 to execute the park load operation control method based on load time shift, and the method includes:

[0258] Construct an optimized model for the electricity load participating in photovoltaic power generation in the living and working area; the optimized model includes a photovoltaic power generation system module and a living and working area electricity load module; the electricity load in the living and working area electricity load module includes lighting lamps, household air conditioners, induction cookers, electric vehicle charging piles, and circulating ventilators; the optimized model takes the maximum consumption of photovoltaic power as the objective function; the constraint conditions of the optimized model include equipment output constraints, environmental condition constraints, and power balance constraints;

[0259] Solve the optimal solution of the optimized model for the electricity load participating in photovoltaic power generation in the living and working area; the optimal solution is the usage timing of the electricity load in the living and working area electricity load module;

[0260] Control the operating state of the electricity load in the living and working area electricity load module based on the usage timing.

[0261] In addition, when the logical instructions in the above-mentioned memory 730 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0262] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the park load operation control method based on load time shift provided by the above-mentioned various methods. The method includes:

[0263] Construct an electrical load optimization model for the living and working areas participating in photovoltaic power generation; the optimization model includes a photovoltaic power generation system module and an electrical load module for the living and working areas; the electrical loads in the electrical load module for the living and working areas include lighting lamps, household air conditioners, induction cookers, electric vehicle charging piles, and circulating ventilators; the optimization model takes the maximum consumption of photovoltaic power as the objective function; the constraint conditions of the optimization model include equipment output constraints, environmental condition constraints, and power balance constraints;

[0264] Solve the optimal solution of the electrical load optimization model for the living and working areas participating in photovoltaic power generation; the optimal solution is the usage time sequence of the electrical loads in the electrical load module for the living and working areas;

[0265] Control the operating states of the electrical loads in the electrical load module for the living and working areas based on the usage time sequence.

[0266] On another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it realizes the park load operation control method based on load time shift provided by the above-mentioned various methods. The method includes:

[0267] Construct an optimized model for the electrical load of the living and office area participating in photovoltaic power generation; the optimized model includes a photovoltaic power generation system module and an electrical load module of the living and office area; the electrical loads in the electrical load module of the living and office area include lighting fixtures, household air conditioners, induction cookers, electric vehicle charging piles, and circulating ventilators; the optimized model takes the maximization of photovoltaic power consumption as the objective function; the constraint conditions of the optimized model include equipment output constraints, environmental condition constraints, and power balance constraints;

[0268] Solve the optimal solution of the optimized model for the electrical load of the living and office area participating in photovoltaic power generation; the optimal solution is the usage time sequence of the electrical loads in the electrical load module of the living and office area;

[0269] Based on the usage time sequence, control the operating states of the electrical loads in the electrical load module of the living and office area.

[0270] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0271] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course also by hardware. Based on this understanding, the above technical solution, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0272] In addition, it should be noted that: the terms "first", "second", etc. in the embodiments of the present application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such terms can be interchanged under appropriate circumstances so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first" and "second" are usually of the same category, and the number of objects is not limited. For example, the first object can be one or multiple.

[0273] "Determining B based on A" in the embodiments of this application means that the factor A should be considered when determining B. It is not limited to "determining B only based on A", but should also include: "determining B based on A and C", "determining B based on A, C, and E", "determining C based on A and further determining B based on C", etc. Additionally, it can also include using A as a condition for determining B. For example, "when A meets the first condition, use the first method to determine B"; another example, "when A meets the second condition, determine B"; and another example, "when A meets the third condition, determine B based on the first parameter", etc. Of course, it can also be using A as a condition for the factor of determining B. For example, "when A meets the first condition, use the first method to determine C and further determine B based on C", etc.

[0274] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling the operation of a park load based on load time shifting, characterized in that, include: Construct an electric load optimization model for the living and office area participating in photovoltaic power generation; the optimization model includes a photovoltaic power generation system module and a living and office area electric load module; the electric loads in the living and office area electric load module include lighting lamps, household air conditioners, induction cookers, electric vehicle charging piles and circulating ventilators; the optimization model takes maximizing photovoltaic power consumption as the objective function; the constraints of the optimization model include equipment output constraints, environmental condition constraints and power balance constraints; Solving the optimal solution of the electric load optimization model of the living and office area participating in photovoltaic power generation; the optimal solution is the usage sequence of the electric load in the electric load module of the living and office area; Controlling the operating state of the power load in the power load module of the living and office area based on the usage sequence; The expression of the objective function is as follows: ； Among them, represents the overall optimization goal, represents the weight value corresponding to the matching degree of load and power source, represents the matching degree of load and power source, represents the weight value corresponding to the grid power purchase cost, represents the grid power purchase cost; The expression of the load-source matching degree is as follows: ； Among them, represents the matching degree of the load source, represents the ratio of the minimum value to the maximum value of the total daily energy consumption of all electrical loads in the electrical load module of the living and office area and the energy output when the photovoltaic power generation system module operates at the maximum power point state, represents the electrical load in the electrical load module of the living and office area at the total energy consumption during the time period, represents at the energy output when the photovoltaic power generation system module operates at the maximum power point state during the time period, represents at the maximum power point voltage of the photovoltaic power generation system module during the time period, represents the output current of the photovoltaic power generation system module, represents the time period length; The expression of the power grid purchasing cost is as follows: ； Among them, represents the grid power purchase cost, represents the electricity price, represents the time period length, represents at the electric power that needs to be purchased from the grid during the time period, represents at the maximum power point voltage of the photovoltaic power generation system module during the time period, represents the output current of the photovoltaic power generation system module, represents the number of load types, represents the power of the i-th load at during the time period.

2. The method for controlling the operation of the park load based on load time shifting according to claim 1, wherein The output power expression of the photovoltaic power generation system module is as follows: ； Among them, represents the output power of the photovoltaic power generation system module, represents the output voltage of the photovoltaic power generation system module, represents the output current of the photovoltaic power generation system module, represents the short-circuit current of the photovoltaic power generation system module under actual conditions, represents the exponential function with the natural constant e as the base, represents the open-circuit voltage of the photovoltaic power generation system module under actual conditions, represents the maximum power point voltage of the photovoltaic power generation system module under actual conditions, represents the logarithm with the constant e as the base, represents the maximum power point current of the photovoltaic power generation system module under actual conditions, represents the short-circuit current of the photovoltaic power generation system module under standard conditions, represents the irradiance intensity, represents the ambient temperature, represents the solar cell temperature coefficient, represents the open-circuit voltage of the photovoltaic power generation system module under standard conditions, represents the maximum power point current of the photovoltaic power generation system module under standard conditions, represents the maximum power point voltage of the photovoltaic power generation system module under standard conditions.

3. The method for controlling the operation of the park load based on load time shift according to claim 1, wherein, The energy consumption expression of the electrical load in the electrical load module of the living and office area is as follows: ； Among them, represents the total energy consumption of the electrical load in the living and office area electrical load module during time period, represents the number of load types, represents the th type of load during time period, represents the time period length, represents the power of the lighting lamp during time period, represents the power of the household air conditioner during time period, represents the power of the induction cooker during time period, represents the power of the electric vehicle charging pile during time period, represents the power of the circulating ventilator during time period.

4. The method for controlling the operation of the park load based on load time shift according to claim 3, wherein The lighting lamp power expression is as follows: ； Among them, represents the power of the lighting lamp at time period, represents the rated power of the lighting lamp, represents the th load at time period; The household air conditioner power expression is as follows: ； Among them, represents the power of the household air conditioner at time period, represents the heat pump coefficient of performance, represents the rated power of the household air conditioner, represents the working state of the th load at time period; The power expression of the induction cooker is as follows: ； Among them, represents the power of the induction cooker during time period, represents the rated power of the induction cooker, represents the working state of the th load during time period; The electric vehicle charging pile power expression is as follows: ； Among them, represents the power of the electric vehicle charging pile at time period, represents the number of electric vehicle charging piles, represents the rated power of a single electric vehicle charging pile, represents the th type of load at time period; The circulating fan power expression is as follows: ； Among them, represents the power of the circulating ventilator at time period, represents the rated power of the circulating ventilator, represents the th load at time period of the working state.

5. The method for controlling the operation of the park load based on load time shift according to claim 1, wherein The expression of the equipment output constraint is as follows: ； Among them, represents the minimum charging power of the photovoltaic power generation system module, represents at the charging power of the photovoltaic power generation system module during the time period, represents the maximum charging power of the photovoltaic power generation system module, represents the minimum discharging power of the photovoltaic power generation system module, represents at the discharging power of the photovoltaic power generation system module during the time period, represents the maximum discharging power of the photovoltaic power generation system module, represents the upper boundary of the energy storage capacity of the photovoltaic power generation system module, represents at the energy storage capacity of the photovoltaic power generation system module during the time period, represents the lower boundary of the energy storage capacity of the photovoltaic power generation system module, represents the minimum output power of the photovoltaic power generation system module, represents at the output power of the photovoltaic power generation system module during the time period, represents the maximum output power of the photovoltaic power generation system module; The expression of the environmental condition constraint is as follows: ； Among them, represents the minimum value of the indoor temperature, represents the indoor temperature during the time period, represents the maximum value of the indoor temperature, represents the minimum value of the density of indoor toxic and harmful gases, represents the density of indoor toxic and harmful gases during the time period, represents the maximum value of the density of indoor toxic and harmful gases; The expression of the power balance constraint is as follows: ； Among them, represents the total power of the electrical load in the living and working area electrical load module during the represents the output power of the photovoltaic power generation system module during the represents the total power supplied by the power grid in the living and working area during the 6. A park load operation control device based on load time shift, characterized in that, include: A construction module is used to construct an optimization model of electric loads in the living and office areas participating in photovoltaic power generation; the optimization model includes a photovoltaic power generation system module and a living and office area electric load module; the electric loads in the living and office area electric load module include lighting lamps, household air conditioners, induction cookers, electric vehicle charging piles and circulating ventilators; the optimization model takes maximizing photovoltaic power consumption as an objective function; the constraints of the optimization model include equipment output constraints, environmental condition constraints and power balance constraints; A solution module, used to solve the optimal solution of the electric load optimization model of the living and office area participating in photovoltaic power generation; the optimal solution is the usage sequence of the electric load in the electric load module of the living and office area; A control module, used for controlling the operating state of the electric load in the electric load module of the living and office area based on the usage sequence; The building blocks are specifically used for: The expression of the objective function is as follows: ； Among them, represents the overall optimization goal, represents the weight value corresponding to the matching degree of load and power source, represents the matching degree of load and power source, represents the weight value corresponding to the grid power purchase cost, represents the grid power purchase cost; The expression of the load-source matching degree is as follows: ； Among them, represents the matching degree of the load source, which represents the ratio of the minimum value to the maximum value between the total daily energy consumption of all electrical loads in the electrical load module of the living and office area and the energy output when the photovoltaic power generation system module operates at the maximum power point state, represents the electrical load in the electrical load module of the living and office area during the total energy consumption during the period, represents during the energy output when the photovoltaic power generation system module operates at the maximum power point state during the period, represents during the maximum power point voltage of the photovoltaic power generation system module during the period, represents the output current of the photovoltaic power generation system module, represents the period length; The expression of the power grid purchasing cost is as follows: ； Among them, represents the grid power purchase cost, represents the electricity price, represents the time period length, represents at the electric power that needs to be purchased from the grid during the time period, represents at the maximum power point voltage of the photovoltaic power generation system module during the time period, represents the output current of the photovoltaic power generation system module, represents the number of load types, represents the power of the i-th load at during the time period.

7. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, the park load operation control method based on load time shifting as described in any one of claims 1 to 5 is implemented.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, the park load operation control method based on load time shifting as described in any one of claims 1 to 5 is implemented.

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