Aggregation regulation and control method, device and system of energy storage lighting load, computer equipment and readable storage medium

Abstract

The invention relates to an aggregation regulation and control method, device and system for an energy storage lighting load, computer equipment and a readable storage medium, and relates to the technical field of smart power grids. The method comprises the following steps: in response to a demand response instruction for the energy storage type lighting system, obtaining a demand response time period, the total demand energy consumption of the energy storage type lighting system and an electrical parameter of the energy storage type lighting system; the energy storage type lighting system comprises a plurality of lighting modules and energy storage units corresponding to the lighting modules. Constructing a target function and a plurality of constraint conditions according to the demand response time period, the demand total energy consumption and the electrical parameters by taking minimization of the power consumption cost and the line loss of the energy storage type lighting system as a target; and solving the objective function according to a plurality of constraint conditions to obtain a charge and discharge control instruction for each energy storage unit in the demand response time period so as to indicate each energy storage unit to regulate and control the illumination load of the energy storage type illumination system. By adopting the method, the application scene of the energy storage type lighting system can be widened.

Description

Technical Field

[0001] The present application relates to the technical field of smart grids, and particularly to a method, device, system, computer device, and readable storage medium for aggregating and regulating energy storage lighting loads. Background Art

[0002] With the progress of power electronics technology, DC power distribution has gradually become an emerging power supply method for lighting systems. DC power distribution avoids the energy loss caused by multiple AC-DC conversions in traditional AC power distribution systems. To further improve the availability and reliability of lighting systems, energy storage lamps and systems have emerged. Currently, the research on energy storage lighting systems mainly focuses on the development of equipment and systems, and is usually applied to restricted scenarios such as off-grid lighting in remote areas, urban street lamp systems, emergency lighting, and green buildings. Therefore, the application scenarios of current energy storage lighting systems are relatively narrow. Summary of the Invention

[0003] Based on this, in view of the above technical problems, it is necessary to provide a method, device, computer device, computer-readable storage medium, and computer program product for aggregating and regulating energy storage lighting loads that can broaden the application scenarios of energy storage lighting systems.

[0004] In a first aspect, the present application provides a method for aggregating and regulating energy storage lighting loads, including:

[0005] In response to a demand response instruction for an energy storage lighting system, obtain a demand response time period, the total demand energy consumption of the energy storage lighting system, and the electrical parameters of the energy storage lighting system; the energy storage lighting system includes a plurality of lighting modules and a corresponding energy storage unit for each lighting module;

[0006] With the goal of minimizing the electricity consumption cost and line loss of the energy storage lighting system, construct an objective function and a plurality of constraint conditions according to the demand response time period, the total demand energy consumption, and the electrical parameters;

[0007] Solve the objective function according to the plurality of constraint conditions to obtain charge and discharge control instructions for each energy storage unit during the demand response time period, so as to instruct each energy storage unit to regulate the lighting load of the energy storage lighting system.

[0008] In one embodiment, the step of constructing an objective function and a plurality of constraint conditions with the goal of minimizing the electricity consumption cost and line loss of the energy storage lighting system according to the demand response time period, the total demand energy consumption, and the electrical parameters includes:

[0009] Construct a power balance model, a lighting load model, an energy storage unit state of charge model, a line loss model, and an electricity consumption cost model according to the electrical parameters and the demand response time period;

[0010] Taking minimizing the electricity consumption cost and line loss of the energy storage type lighting system as the goal, a target function is constructed according to a preset weight coefficient, the line loss model and the electricity consumption cost model.

[0011] According to the demand response time period, the total demand energy consumption, the energy storage unit state of charge model, the power balance model, the energy storage capacity range and the energy storage charge and discharge power range included in the electrical parameters, a plurality of constraint conditions are constructed.

[0012] In one embodiment, the constructing the power balance model, the lighting load model, the energy storage unit state of charge model, the line loss model and the electricity consumption cost model according to the electrical parameters and the demand response time period includes:

[0013] According to the topology model of the energy storage type lighting system included in the electrical parameters, determine the line impedance of each loop where the lighting module is located, the first current flowing through each line impedance, and the second current flowing through each lighting module.

[0014] According to each line impedance, the first current, the second current and the demand response time period, a line loss model is constructed.

[0015] According to the charge and discharge power of each energy storage unit, the load power of each lighting module, and the line loss model included in the electrical parameters, a power balance model is constructed.

[0016] According to the target load of the lamps of each lighting module and the lamp drive circuit efficiency included in the electrical parameters, a lighting load model is constructed.

[0017] According to the historical state of charge, the charging efficiency, the discharging efficiency and the current charge and discharge state of each energy storage unit included in the electrical parameters, an energy storage unit state of charge model is constructed.

[0018] According to the power balance model, the demand response time period and the electricity price function included in the electrical parameters, an electricity consumption cost model is constructed.

[0019] In one embodiment, the constructing the line loss model according to each line impedance, the first current, the second current and the demand response time period includes:

[0020] According to each line impedance and the first current, determine the line loss power of the energy storage type lighting system.

[0021] According to the line loss power and the demand response time period, a line loss model is constructed.

[0022] In one embodiment, the expression corresponding to the target function includes:

[0023]

[0024] Among them, represents the electricity cost model described above, represents the line loss model described above, represents a preset weight coefficient, is a vector, which is composed of the charging and discharging powers of n energy storage units at N sampling moments, and the corresponding form is where, represents the charging and discharging power of the nth energy storage unit at the Nth sampling moment.

[0025] In one embodiment, the method for constructing multiple constraint conditions according to the demand response time period, the total demand energy consumption, the energy storage unit state of charge model, the power balance model, the energy storage capacity range and the energy storage charging and discharging power range included in the electrical parameters includes:

[0026] Construct a constraint condition for the total energy consumption according to the demand response time period, the total demand energy consumption and the power balance model;

[0027] Construct a constraint condition for the state of charge of the energy storage unit according to the energy storage unit state of charge model and the energy storage capacity range;

[0028] Construct a constraint condition for lighting quality according to the power balance model;

[0029] Construct a constraint condition for the charging and discharging power of the energy storage unit according to the energy storage charging and discharging power range and the charging and discharging power of each energy storage unit.

[0030] In a second aspect, the present application also provides an aggregated regulation device for energy storage lighting loads, including:

[0031] A data acquisition module, configured to obtain a demand response time period, the total demand energy consumption of the energy storage lighting system, and the electrical parameters of the energy storage lighting system in response to a demand response instruction for the energy storage lighting system; the energy storage lighting system includes a plurality of lighting modules, and an energy storage unit corresponding to each lighting module;

[0032] A function construction module, configured to construct an objective function and a plurality of constraint conditions according to the demand response time period, the total demand energy consumption, and the electrical parameters with the goal of minimizing the electricity cost and line loss of the energy storage lighting system;

[0033] A load regulation module, configured to solve the objective function according to the multiple constraint conditions, so as to obtain charge and discharge control instructions for each energy storage unit during the demand response period, and to instruct each energy storage unit to regulate the lighting load of the energy storage lighting system.

[0034] In a third aspect, the present application further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0035] In response to a demand response instruction for an energy storage lighting system, obtain a demand response period, the total demand energy consumption of the energy storage lighting system, and the electrical parameters of the energy storage lighting system; the energy storage lighting system includes a plurality of lighting modules and an energy storage unit corresponding to each lighting module;

[0036] With the goal of minimizing the electricity consumption cost and line loss of the energy storage lighting system, construct an objective function and multiple constraint conditions according to the demand response period, the total demand energy consumption, and the electrical parameters;

[0037] Solve the objective function according to the multiple constraint conditions to obtain charge and discharge control instructions for each energy storage unit during the demand response period, and to instruct each energy storage unit to regulate the lighting load of the energy storage lighting system.

[0038] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0039] In response to a demand response instruction for an energy storage lighting system, obtain a demand response period, the total demand energy consumption of the energy storage lighting system, and the electrical parameters of the energy storage lighting system; the energy storage lighting system includes a plurality of lighting modules and an energy storage unit corresponding to each lighting module;

[0040] With the goal of minimizing the electricity consumption cost and line loss of the energy storage lighting system, construct an objective function and multiple constraint conditions according to the demand response period, the total demand energy consumption, and the electrical parameters;

[0041] Solve the objective function according to the multiple constraint conditions to obtain charge and discharge control instructions for each energy storage unit during the demand response period, and to instruct each energy storage unit to regulate the lighting load of the energy storage lighting system.

[0042] In a fifth aspect, the present application further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0043] In response to a demand response instruction for an energy storage lighting system, obtain the demand response time period, the total demand energy consumption of the energy storage lighting system, and the electrical parameters of the energy storage lighting system; the energy storage lighting system includes a plurality of lighting modules and a corresponding energy storage unit for each lighting module;

[0044] With the goal of minimizing the electricity cost and line loss of the energy storage lighting system, construct an objective function and a plurality of constraint conditions according to the demand response time period, the total demand energy consumption, and the electrical parameters;

[0045] Solve the objective function according to the plurality of constraint conditions to obtain charge and discharge control instructions for each energy storage unit during the demand response time period, so as to instruct each energy storage unit to regulate the lighting load of the energy storage lighting system.

[0046] The above-mentioned method, device, computer device, computer-readable storage medium, and computer program product for aggregating and regulating the energy storage lighting load. This method responds to the demand response instruction of the aggregator for the energy storage lighting system, obtains the demand response time period, the total demand energy consumption of the energy storage lighting system, and the electrical parameters of the energy storage lighting system, so as to add the energy storage lighting system to the aggregator's day-ahead invitation demand response. Among them, the energy storage lighting system includes a plurality of lighting modules and a corresponding energy storage unit for each lighting module. With the goal of minimizing the electricity cost and line loss of the energy storage lighting system, construct an objective function and a plurality of constraint conditions according to the demand response time period, the total demand energy consumption, and the electrical parameters, thereby constructing an optimization problem for the lighting load of the energy storage lighting system to participate in the day-ahead invitation demand response processing, and more accurately obtaining a load regulation plan suitable for the energy storage lighting system, considering various constraint conditions, improving the feasibility of lighting load regulation; solve the objective function according to the plurality of constraint conditions to obtain charge and discharge control instructions for each energy storage unit during the demand response time period, so as to instruct each energy storage unit to regulate the lighting load of the energy storage lighting system, realizing the aggregation of the lighting load of the energy storage lighting system to participate in the aggregator's day-ahead invitation response, providing better load balancing for the power grid, enhancing the stability of the power grid, enabling the energy storage lighting system to participate in the power grid demand response for lighting load aggregation and regulation, and thus expanding the application scenario of the energy storage lighting system. Description of the Drawings

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0048] Figure 1 It is an application environment diagram of the aggregated regulation method for energy storage lighting loads in an embodiment;

[0049] Figure 2 It is a schematic flowchart of the aggregated regulation method for energy storage lighting loads in an embodiment;

[0050] Figure 3 It is a schematic flowchart of the optimization problem construction steps in an embodiment;

[0051] Figure 4 It is a schematic structural diagram of the topological model of the energy storage lighting system in an embodiment;

[0052] Figure 5 It is a schematic diagram of the lamp distribution of the lighting system in an embodiment;

[0053] Figure 6 It is a schematic diagram of the lighting module load prediction curve in an embodiment;

[0054] Figure 7 It is a schematic diagram of the state curve of the lighting load of LED5 after regulation in an embodiment;

[0055] Figure 8 It is a schematic diagram of the state curve of the lighting load of LED10 after regulation in an embodiment;

[0056] Figure 9 It is a structural block diagram of the aggregated regulation system for energy storage lighting loads in an embodiment;

[0057] Figure 10 It is a structural block diagram of the aggregated regulation device for energy storage lighting loads in an embodiment;

[0058] Figure 11 It is the internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0059] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0060] The aggregated regulation method for energy storage lighting loads provided by the embodiments of the present application can be applied as Figure 1In the application environment shown, the application environment includes: aggregator 102, DC energy storage lighting load aggregation and regulation module 104, and energy storage lighting system 106. Among them, the energy storage lighting system includes a plurality of lighting modules and a corresponding energy storage unit for each lighting module. Among them, the aggregator 102 communicates with the DC energy storage lighting load aggregation and regulation module 104 through a network, and the DC energy storage lighting load aggregation and regulation module 104 is connected to each lighting module in the energy storage lighting system 106 through a DALL (Digital Addressable Lighting Interface) bus. The DC energy storage lighting load aggregation and regulation module 104 responds to the demand response instruction of the aggregator 102 for the energy storage lighting system 104, obtains the demand response time period, the total demand energy consumption of the energy storage lighting system 104, and the electrical parameters of the energy storage lighting system 104. The DC energy storage lighting load aggregation and regulation module 104 aims to minimize the electricity cost and line loss of the energy storage lighting system 104. According to the demand response time period, the total demand energy consumption, and the electrical parameters, it constructs an objective function and a plurality of constraint conditions. Further, the DC energy storage lighting load aggregation and regulation module 104 solves the objective function according to the plurality of constraint conditions to obtain the charge and discharge control instructions for each energy storage unit during the demand response time period, so as to instruct each energy storage unit to regulate the lighting load of the energy storage lighting system 104.

[0061] In an exemplary embodiment, as Figure 2 shown, a method for aggregating and regulating energy storage lighting loads is provided. Taking the application of this method to the Figure 1 DC energy storage lighting load aggregation and regulation module 104 in as an example for description, hereinafter simply referred to as the regulation module, includes the following steps S202 to step S206. Among them:

[0062] Step S202, in response to a demand response instruction for the energy storage lighting system, obtain the demand response time period, the total demand energy consumption of the energy storage lighting system, and the electrical parameters of the energy storage lighting system.

[0063] Among them, the energy storage lighting system includes a plurality of lighting modules and a corresponding energy storage unit for each lighting module. The energy storage unit can be a storage battery that can store electric energy.

[0064] Among them, the demand response instruction can be the instruction obtained by aggregators after winning the bid for the demand response before the bid date and decomposing the load according to a preset algorithm. The aggregator sends the decomposed load instruction of the lighting aggregate (energy storage lighting system) to the DC energy storage lighting load aggregation and regulation module. The demand response instruction includes the demand response time period and the total demand energy consumption decomposed to the lighting aggregate during the demand response time period. Among them, the aggregator can be an entity that aggregates multiple small power resources (such as distributed generation, energy storage devices, controllable loads, etc.) in the power market and manages and schedules them as a whole. The main purpose of the aggregator is to improve their competitiveness and participation in the market by integrating these small resources, so as to provide more flexible services for the power system. Among them, the total demand energy consumption refers to the total electric energy consumed by the energy storage lighting system during a specific time period, usually expressed in kilowatt-hours (kWh), which can reflect the user's electricity consumption habits and demand characteristics. The analysis of the total demand energy consumption helps the aggregator to perform load forecasting and resource scheduling. Among them, the demand response time period refers to the time window in the power demand response plan during which users are required to adjust their electricity consumption behaviors within a specific time. This time period may range from a few minutes to several hours, usually associated with the price fluctuations of the power market, the system load conditions, or the power generation of renewable energy. The purpose of demand response is to balance the power supply and demand, reduce the load pressure during peak hours, and improve the stability and economy of the power system.

[0065] Among them, the electrical parameters can be various electrical characteristic parameters related to the power system in the parameters of the energy storage lighting system.

[0066] Optionally, in response to the demand response instruction initiated by the aggregator for the energy storage lighting system, the regulation module obtains the demand response time period and the total demand energy consumption of the energy storage lighting system from the information carried by the demand response instruction, and obtains the electrical parameters of the energy storage lighting system through communication with the energy storage lighting system, or can read the pre-stored electrical parameters of the energy storage lighting system from the data storage system.

[0067] Step S204, aiming at minimizing the electricity cost and line loss of the energy storage lighting system, construct an objective function and multiple constraint conditions according to the demand response time period, the total demand energy consumption, and the electrical parameters.

[0068] Among them, the line loss can be the energy loss generated when the current passes through the wire during the power transmission process, mainly released in the form of heat. The line loss is usually proportional to the square of the current. Therefore, the higher the resistance of the line and the larger the current, the higher the line loss.

[0069] Among them, the objective function can be a mathematical function used in an optimization problem, representing the objective that is desired to be maximized or minimized. Among them, the constraint conditions can be the conditions or restrictions that must be satisfied in the optimization problem, and these constraint conditions can be physical, economic, or technical restrictions. Among them, the optimization problem can refer to achieving the maximization or minimization of the objective function by changing decision variables under certain constraint conditions.

[0070] Optionally, the regulation module establishes an optimization problem for the energy storage lighting system to participate in the aggregator demand response, with the objective of minimizing the electricity consumption cost and line loss of the energy storage lighting system, and using the lighting quality, response to demand instructions, and equipment safety of the energy storage lighting system as constraints. According to the demand response time period, total demand energy consumption, and electrical parameters, an objective function and multiple constraint conditions are constructed.

[0071] Step S206: Solve the objective function according to multiple constraint conditions to obtain the charge-discharge control instructions for each energy storage unit during the demand response time period, so as to instruct each energy storage unit to regulate the lighting load of the energy storage lighting system.

[0072] Among them, the charge-discharge control instructions can refer to the instructions for managing and scheduling energy storage devices (such as batteries, supercapacitors, etc.) to charge and discharge.

[0073] Among them, the lighting load can refer to the electric energy consumed by lighting equipment in the normal working state, usually expressed in power (watt, W).

[0074] Optionally, the regulation module solves the objective function according to multiple constraint conditions, solves the optimal solutions that meet each constraint condition, the optimal solutions include the optimal charge-discharge power of each energy storage module, and generates the charge-discharge control instructions for each energy storage unit during the demand response time period according to the optimal solutions, so as to instruct each energy storage unit to regulate the lighting load of the energy storage lighting system.

[0075] In the above-mentioned aggregated regulation method for energy storage lighting loads, the method obtains the demand response time period, the total demand energy consumption of the energy storage lighting system, and the electrical parameters of the energy storage lighting system by responding to the demand response instruction of the aggregator for the energy storage lighting system, so as to add the energy storage lighting system to the aggregator's day-ahead invitation demand response. Among them, the energy storage lighting system includes a plurality of lighting modules and a corresponding energy storage unit for each lighting module. With the goal of minimizing the electricity cost and line loss of the energy storage lighting system, according to the demand response time period, the total demand energy consumption, and the electrical parameters, an objective function and a plurality of constraint conditions are constructed, thereby constructing an optimization problem for the lighting load of the energy storage lighting system to participate in the day-ahead invitation demand response process, obtaining a more accurate load regulation scheme adapted to the energy storage lighting system, considering various constraint conditions, and improving the feasibility of lighting load regulation; solving the objective function according to a plurality of constraint conditions to obtain charge and discharge control instructions for each energy storage unit during the demand response time period to instruct each energy storage unit to regulate the lighting load of the energy storage lighting system, realizing the aggregation of the lighting load of the energy storage lighting system to participate in the aggregator's day-ahead invitation response, providing better load balancing for the power grid, enhancing the stability of the power grid, enabling the energy storage lighting system to participate in the power grid demand response for lighting load aggregation regulation, and thus expanding the application scenario of the energy storage lighting system.

[0076] In an exemplary embodiment, as Figure 3 shown, step S204 takes minimizing the electricity cost and line loss of the energy storage lighting system as the goal, and constructs an objective function and a plurality of constraint conditions according to the demand response time period, the total demand energy consumption, the electrical parameters, and a preset weight coefficient, including steps S302 to S306. Among them:

[0077] Step S302, construct a power balance model, a lighting load model, an energy storage unit state-of-charge model, a line loss model, and an electricity cost model according to the electrical parameters and the demand response time period.

[0078] Among them, the power balance model can be a function expression representing the power obtained by the energy storage lighting system from the distribution network; among them, the lighting load model can be the target load of the lamps in each lighting module, which is obtained by the software through conversion of lighting quality requirements; among them, the energy storage unit state-of-charge model can be a function expression representing the state-of-charge of each energy storage unit; among them, the line loss model can be a function expression representing the line loss power of all loops of the topological structure of the energy storage lighting system at the current moment; among them, the electricity cost model can be a function expression representing the electricity purchase cost of the energy storage lighting system.

[0079] Optionally, the regulation module determines various powers generated in the energy storage lighting system according to the electrical parameters of the energy storage lighting system to construct a power balance model, constructs a lighting load model according to the relevant electrical parameters of the lamps in the lighting module, constructs a charge model of the energy storage unit according to the relevant electrical parameters of each energy storage unit, constructs a line loss model according to the relevant electrical parameters of the topological structure of the energy storage lighting system, and constructs an electricity consumption cost model according to the electricity price of the power grid and the power of the energy storage lighting system.

[0080] Step S304: With the goal of minimizing the electricity consumption cost and line loss of the energy storage lighting system, construct an objective function according to the preset weight coefficient, line loss model, and electricity consumption cost model.

[0081] Among them, the preset weight coefficient can be the weight value assigned to the electricity consumption cost in advance.

[0082] Among them, the expression corresponding to the objective function includes:

[0083]

[0084] Among them, represents the electricity consumption cost model, represents the line loss model, represents the preset weight coefficient, is a vector composed of the charge and discharge powers of n energy storage units at N sampling moments, and the corresponding form is where, represents the charge and discharge power of the nth energy storage unit at the Nth sampling moment.

[0085] Optionally, the regulation module takes the goal of minimizing the electricity consumption cost and line loss of the energy storage lighting system, establishes an optimization problem, and constructs an objective function according to the minimum value of the sum of the product of the preset weight coefficient and the electricity consumption cost model and the line loss model.

[0086] Step 306: Construct multiple constraint conditions according to the demand response time period, total demand energy consumption, charge model of the energy storage unit, power balance model, energy storage capacity range and energy storage charge and discharge power range included in the electrical parameters.

[0087] Among them, the energy storage capacity range can be an interval range composed of the upper limit and lower limit of the charge of each energy storage unit.

[0088] Among them, the energy storage charge and discharge power range can be an interval range composed of the maximum charging power and maximum discharging power of each energy storage unit.

[0089] Optionally, the regulation module determines the constraint limits of demand response according to the demand response time period and the total demand energy consumption, and determines the safety constraints according to the electrical parameters of the energy storage unit, so as to construct multiple constraint conditions according to the demand response time period, the total demand energy consumption, the charge model of the energy storage unit, the power balance model, the energy storage capacity range and the energy storage charge and discharge power range included in the electrical parameters.

[0090] In this embodiment, by optimizing the power consumption strategy and reducing the line loss, the feasibility of the energy storage lighting system is improved, which is convenient for popularization in urban lighting. More accurate energy management and distribution reduce energy waste and improve the overall efficiency of the system. Considering the safety constraints of the energy storage unit, the stability and reliability of the system are improved, and it can be flexibly adjusted according to the requirements of demand response to adapt to different application scenarios.

[0091] In an exemplary embodiment, according to the electrical parameters and the demand response time period, a power balance model, a lighting load model, an energy storage unit charge model, a line loss model and an electricity cost model are constructed, including:

[0092] According to the topological model of the energy storage lighting system included in the electrical parameters, determine the line impedance of each loop where the lighting module is located, the first current flowing through each line impedance, and the second current flowing through each lighting module; construct a line loss model according to each line impedance, the first current, the second current and the demand response time period; construct a power balance model according to the charge and discharge power of each energy storage unit, the load power of each lighting module, and the line loss model included in the electrical parameters; construct a lighting load model according to the target load of the lamps and the lamp drive circuit efficiency of each lighting module included in the electrical parameters; construct an energy storage unit charge model according to the historical charge, charge efficiency, discharge efficiency and current charge and discharge state of each energy storage unit included in the electrical parameters; construct an electricity cost model according to the power balance model, the demand response time period and the electricity price function included in the electrical parameters.

[0093] Among them, the topological model can be a model that describes the connection relationship and electrical characteristics between various components (such as energy storage units, lighting modules, grid interfaces, etc.) in the energy storage lighting system, such as Figure 4 shown, which provides a schematic structural diagram of the topological model of the energy storage lighting system, where U is the DC bus voltage, R k is the line impedance of the kth loop, and L k is the kth group of lighting modules. Among them, the line impedance refers to the hindrance of the transmission line to alternating current, which is a complex number and consists of two parts: resistance and reactance.

[0094] Among them, the charge and discharge power of the energy storage unit can refer to the discharge power or charge power of each energy storage unit.

[0095] Among them, the driving circuit efficiency represents the ability to convert the input power into the output optical power of the lamp, which is expressed as the ratio of the output optical power to the input electrical power and is usually expressed as a percentage.

[0096] Optionally, the regulation module determines the line impedance of each loop where the lighting module is located, the first current flowing through each line impedance, and the second current flowing through each lighting module according to the topological model of the energy storage type lighting system included in the electrical parameters. According to Kirchhoff's law, the second current and power in the k-th lighting module at the j-th moment can be expressed as:

[0097]

[0098] Among them, represents the second current, represents the DC bus voltage, represents the voltage of the k-th line impedance, represents the charge and discharge power of the energy storage unit in the k-th lighting module at the j-th moment, the load power of the k-th lighting module.

[0099] Therefore, the second current can be expressed as:

[0100]

[0101] Furthermore, the first current can be expressed as:

[0102]

[0103] Starting from the -th loop and iterating the above three expressions forward in sequence, the currents flowing through all line resistances and lighting modules can be obtained respectively. Furthermore, the regulation module determines the line loss power of the energy storage type lighting system according to the first current and the line impedance, and constructs a line loss model according to the demand time period and the line loss power. The corresponding expression is:

[0104]

[0105] According to N sampling settings of the sampling time during the demand response time period , after discretizing the above formula, the expression of the line loss model is obtained as:

[0106]

[0107] The regulation module constructs a power balance model according to the charge and discharge power of each energy storage unit, the load power of each lighting module, and the line loss model included in the electrical parameters. The corresponding expression is:

[0108]

[0109] Among them, represents the power obtained by the energy storage lighting system from the power grid, represents the load power of the k-th lighting module, represents the charge and discharge power of the energy storage unit in the k-th lighting module, being positive indicates that the energy storage unit is in the charging state, being negative indicates that the energy storage unit is in the discharging state, is the line loss power for constructing the line loss model.

[0110] The regulation module constructs a lighting load model according to the electrical parameters including the target load of the lamps in each lighting module and the lamp drive circuit efficiency, and the corresponding expression is:

[0111]

[0112] Among them, represents the load power of the k-th lighting module, represents the target load of the lamps in each lighting module, represents the lamp drive circuit efficiency.

[0113] The regulation module constructs an energy storage unit charge model according to the electrical parameters including the historical state of charge, charging efficiency, discharging efficiency and the current charge and discharge state of each energy storage unit, and the corresponding expression is:

[0114]

[0115] Among them, is the state of charge of the energy storage unit at time is the historical state of charge at time; , are the charging efficiency and discharging efficiency of the energy storage unit respectively, is the current charge and discharge state, and the charge and discharge state is represented by the sign of When is positive, the energy storage unit is charging; when is negative, the energy storage unit is discharging.

[0116] The regulation module constructs an electricity consumption cost model according to the power balance model, the demand response time period and the electricity price function included in the electrical parameters, and the corresponding expression is:

[0117]

[0118] Among them, is the demand response time period, t is time, is the electricity price function, is the power balance model, represents the load power of the k-th lighting module, represents the charge and discharge power of the energy storage unit in the k-th lighting module, being positive indicates that the energy storage unit is in the charging state, being negative indicates that the energy storage unit is in the discharging state, is the line loss power for constructing the line loss model. According to the same discretization method when constructing the line loss model, after discretizing the electricity cost model, the corresponding expression is:

[0119]

[0120] In this embodiment, by constructing a series of mathematical models of the energy storage lighting system, it provides a basis for subsequent construction of the optimization problem. Integrating these models into an optimization problem, through the demand response mechanism, the system can flexibly adapt to changes in the external environment, further expanding the application scenarios of the energy storage lighting system.

[0121] In an exemplary embodiment, the content of constructing the line loss model according to each line impedance, the first current, the second current, and the demand response time period in the above embodiment includes:

[0122] Determine the line loss power of the energy storage lighting system according to each line impedance and the first current; construct the line loss model according to the line loss power and the demand response time period.

[0123] Optionally, the regulation module determines the line loss power of the energy storage lighting system according to each line impedance and the first current, and the corresponding expression is:

[0124] =

[0125] Wherein, represents the total line loss power of the energy storage lighting system at the j-th moment, represents the first current flowing through the k-th line impedance, and n represents the total number of lighting modules. Further, the regulation module determines according to the demand response time period , then constructs the line loss model according to the line loss power and the demand response time period.

[0126] In this embodiment, by calculating the line loss power through the first current and line impedance of each line impedance in the topology of the energy storage lighting system and further constructing the line loss model, it can more accurately evaluate the line loss of the energy storage lighting system. During the demand response period, the brightness or switch state of the lighting module can be adjusted according to the line loss model to reduce the line loss and achieve energy-saving control.

[0127] In an exemplary embodiment, step S306 constructs a plurality of constraint conditions according to the demand response time period, the total demand energy consumption, the charge model of the energy storage unit, the power balance model, the energy storage capacity range and the energy storage charge and discharge power range included in the electrical parameters, including:

[0128] Construct a constraint condition for the total energy consumption according to the demand response time period, the total demand energy consumption and the power balance model; construct a constraint condition for the charge of the energy storage unit according to the charge model of the energy storage unit and the energy storage capacity range; construct a constraint condition for the lighting quality according to the power balance model; construct a constraint condition for the charge and discharge power of the energy storage unit according to the energy storage charge and discharge power range and the charge and discharge power of each energy storage unit.

[0129] Optionally, the regulation module constructs a constraint condition for the total energy consumption according to the demand response time period, the total demand energy consumption and the power balance model, and the corresponding expression is:

[0130]

[0131] Wherein, is the demand response time period, is the power balance model, is the total demand energy consumption, ensuring that the total energy consumption is less than or equal to during the demand response time period, effectively reducing the power during the demand response time period and achieving the demand of the pre-response invitation.

[0132] The regulation module constructs a constraint condition for the charge of the energy storage unit according to the charge model of the energy storage unit and the energy storage capacity range, and the corresponding expression is:

[0133]

[0134] Wherein, and are respectively the lower limit and the upper limit of the charge in the energy storage unit capacity range, are respectively the initial time and the end time power of the energy storage unit within the scheduling period.

[0135] The regulation module constructs a constraint condition for the lighting quality according to the power balance model, and the corresponding expression is:

[0136]

[0137] Wherein, represents the power obtained by the energy storage lighting system from the power grid at time j, represents the load power of the kth lighting module at time j, represents the charge and discharge power of the energy storage unit in the kth lighting module at time j, being positive indicates that the energy storage unit is in the charging state, A negative value indicates that the energy storage unit is in the discharging state. is the line loss power for constructing the line loss model at time j.

[0138] The regulation module constructs the constraint conditions for the charging and discharging power of the energy storage unit according to the charging and discharging power range of the energy storage and the charging and discharging power of each energy storage unit. The corresponding expression is:

[0139]

[0140] where is the lower limit in the charging and discharging power range of the energy storage, is the maximum discharging power, and the symbol is negative. is the upper limit in the charging and discharging power range of the energy storage, is the maximum charging power, and the symbol is positive.

[0141] In summary, the objective function and constraint conditions of the finally constructed optimization problem are:

[0142]

[0143] In this embodiment, the upper limit of the total energy consumption is set to ensure the effect of the lighting load aggregator participating in the demand response. By setting the constraint conditions for the state of charge and charging and discharging power of the energy storage unit, the safe operation of the energy storage unit can be guaranteed. By setting the constraint conditions for the lighting quality, the lighting quality can be guaranteed during the process of regulating the lighting load.

[0144] In an exemplary embodiment, another method for aggregating and regulating the energy storage lighting load is provided, which specifically includes:

[0145] Step 1, according to the power supply connection of the lighting module and the connection mode of the DALI bus, aggregate the lighting modules powered by the same DC bus and connected by the same DALI bus into a whole and sign up with a certain load aggregator, obtain the lighting system parameters and establish a system model.

[0146] Exemplarily, according to the topology (topological model) of the DC energy storage lighting system (energy storage lighting system), lighting modules powered by the same DC bus and belonging to the same DALI bus are grouped together as a whole to participate in demand response. This step can be analyzed with the help of the design and construction drawings of the lighting system; obtaining lighting system parameters. In order to establish a mathematical model of each lighting module, relevant parameters (electrical parameters) of the lighting system need to be obtained. The main parameters include: the lighting quality of the lighting module, including the illuminance and color temperature of the lighting, which depends on the usage scenario of the lighting module; it should be noted that typical scenarios of urban lighting have strong regularity, so the lighting quality requirements can be predicted daily according to the scenario requirements and historical rules; lighting system load forecasting. After obtaining the lighting quality requirements of the lighting system, Dialux Evo software is used for analysis, and the load of each lamp (the target load of the lamp) obtained from the lighting quality will be recorded as , which will be used as the daily predicted load of the lighting system; the rated load of the lamp; the capacity and charge-discharge power limit of the energy storage unit of each lighting module; the power supply cable parameters of the lighting system, including parameters such as cable length and DC resistance (Ω / km). Based on the analysis of the lighting system and the acquisition of parameters, system modeling can be carried out, including a power balance model, a lighting load model, an energy storage unit model, and an energy storage unit model.

[0147] Step 2, the load aggregator defines the demand response day as D according to the formulated rules, conducts trading declarations before 13:00 on the bidding day (day D-1), and after winning the bid, decomposes the load into the lighting load aggregate according to a certain algorithm mechanism. Transmission of the load decomposition instruction of the lighting load aggregate. The lighting load aggregate signs up to join a certain load aggregator. The load aggregator participates in trading declarations according to the daily invitation demand response rules. After winning the bid, the decomposed load instruction (demand response instruction) is sent to the lighting load aggregate according to a certain decomposition algorithm. It should be noted that the load decomposition algorithm of the load aggregator is not within the scope of research of this patent and is supported by relevant research.

[0148] Exemplarily, load instruction decomposition. After the load aggregator wins the bid for the daily invitation demand response, it decomposes the load according to a certain algorithm and sends the decomposed lighting aggregate load instruction to the DC energy storage lighting load aggregation and regulation module. The decomposed instruction includes the demand response period [ t DR_begin , t DR_end ] and the total energy consumption (total demand energy consumption) decomposed to the lighting aggregate during the demand response period. Transmission of the load decomposition instruction. The aggregation and regulation module of the DC energy storage lighting load obtains the load decomposition instruction sent by the aggregator through communication links such as 5G / WIFI, and these instruction information will be used for the optimal regulation of the lighting load aggregate.

[0149] Step 3, optimal regulation of the lighting load aggregator. After receiving the load decomposition instruction sent by the load aggregator, the aggregation and regulation module of the DC energy storage lighting load establishes an optimal control problem for the lighting system to participate in the day-ahead invitation demand response, with the electricity cost and line loss as the optimization objectives and the aggregator load decomposition instruction, lighting quality, and equipment safety as the constraints.

[0150] Step 4, solve the optimization problem to obtain the control instructions for the lighting modules. These instructions are sent to each lighting module through the DALI bus to control the charge and discharge of the energy storage units of each module and respond to the day-ahead invitation demand.

[0151] Exemplarily, the optimization problem has non-linear terms in both the objective function and the constraints, but the solution is not complex, and the interior point method can be used to complete the solution of the optimization problem. In the numerical example, the fmincon function of Matlab is used for the solution. For example, the following takes the lighting system of a government service center as a case for analysis, selecting six areas such as ordinary offices, archives rooms, corridors, front desks, meeting rooms, and electrical rooms. As Figure 5 shown, a schematic diagram of the lamp distribution of the example lighting system is provided, which includes a total of 27 groups of LED (Light Emitting Diode) lighting modules. The power grid is connected to the 48V DC bus through a rectifier, the sampling time is set to 5 minutes, and the optimal scheduling period is 24 hours. According to the regional lighting requirements, the Dialux Evo software is used to optimize the illumination design, and the predicted load of each lighting module within the 24-hour scheduling period is obtained. As Figure 6 shown, a schematic diagram of the load prediction curve of the lighting module is provided. When participating in the day-ahead invitation demand response, the load of each lamp needs to be regulated according to the Figure 6 curve to meet the lighting quality requirements. In the numerical example, when the day-ahead invitation demand response period won by the load aggregator is 9:00~12:00 and 19:00~22:00, and the total energy consumption limit decomposed to the lighting aggregator during the demand response period is 180 Wh. Combining the predicted load of the lighting module, the load decomposition instruction, and the relevant parameters of the lighting system, the optimal control problem (optimization problem) of the lighting load aggregator regulation is solved in Matlab, and the charge and discharge control instructions for the energy storage units of 27 groups of lighting modules are obtained. Regulating the lighting modules according to the optimal control instructions within the optimal scheduling period will effectively respond to the day-ahead invitation demand under the premise of meeting various constraints. As Figure 7 shown, and as Figure 8As shown in the figure, the regulation results are demonstrated by taking LED5 and LED10 as representatives. During non-demand response periods, the optimization instructions obtain electric energy from the main power supply through power control of the energy storage unit, drive the lighting LEDs, and charge the energy storage unit; during demand response periods, the electricity purchase amount from the main power supply is rapidly reduced, and the energy storage unit is switched to provide power support for the LEDs. Throughout the scheduling cycle, the load demand of the lighting module is met without affecting the lighting quality of users. The total energy consumption of 27 groups of lighting modules during the demand response period is statistically 176 Wh, which is less than the total energy consumption limit of 180 Wh decomposed to the lighting aggregator, effectively responding to the day-ahead invitation demand.

[0152] In this embodiment, a method for aggregating and regulating a DC energy storage lighting load is proposed for an urban lighting system. Through the optimized control of the charging and discharging of the energy storage unit, the lighting loads are aggregated to participate in the day-ahead invitation demand response, contributing to the consumption of new energy; a optimized control objective function is constructed by integrating the electricity purchase cost and line loss, with lighting quality, load instructions, and equipment safety as constraints, and the charging and discharging of the energy storage unit of the lighting module as the optimization variables, establishing an optimal regulation problem for aggregating DC energy storage lighting loads, providing a scientific control method for energy storage lighting loads; the optimization of electricity purchase cost and line loss is considered while the DC energy storage lighting load participates in the day-ahead invitation demand response; the lighting system is scientifically planned from the perspectives of cost savings and energy conservation, and the constraints of lighting quality, load instructions, and equipment safety are considered, with strong implementability.

[0153] In an exemplary embodiment, as Figure 9 shown, a system for aggregating and regulating an energy storage lighting load is provided, including:

[0154] Multiple lighting modules and a DC energy storage lighting load aggregation and regulation module; among them, the DC energy storage lighting load aggregation and regulation module is connected to each lighting module through the DALL bus, and the DC energy storage lighting load aggregation and regulation module is used for the steps of the method described in any one of the above embodiments.

[0155] Among them, the main power supply is converted to DC through an AC / DC (Alternating Current / Direct Current) module and connected to n lighting modules L1 to Ln through a DC bus. The DC energy storage lighting load aggregation and regulation module includes a 5G / WIFI communication unit and a DALL master controller. Each lighting module includes an energy storage unit, a power manager, an LED drive circuit, an LED lamp, and a DALL slave controller. The lighting module is connected to the DALI master controller through the DALL slave controller bus and receives instructions from the DC energy storage lighting load aggregation and regulation module to achieve charge and discharge control of the energy storage unit. The aggregation and regulation module exchanges information with the load aggregator through communication links such as 5G / WIFI.

[0156] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are shown in sequence according to the indications of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0157] Based on the same inventive concept, an embodiment of the present application also provides an aggregation control device for a storage lighting load for implementing the above-mentioned aggregation control method for a storage lighting load. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the aggregation control device for a storage lighting load provided below can refer to the limitations on the aggregation control method for a storage lighting load in the above text, and will not be repeated here.

[0158] In an exemplary embodiment, as Figure 10 shown, an aggregation control device 1000 for a storage lighting load is provided, including: a data acquisition module 1002, a function construction module 1004, and a load control module 1006, where:

[0159] The data acquisition module 1002 is configured to obtain a demand response time period, the total demand energy consumption of the energy storage lighting system, and the electrical parameters of the energy storage lighting system in response to a demand response instruction for the energy storage lighting system; the energy storage lighting system includes a plurality of lighting modules and a corresponding energy storage unit for each lighting module.

[0160] The function construction module 1004 is configured to construct an objective function and a plurality of constraint conditions with the goal of minimizing the electricity consumption cost and line loss of the energy storage lighting system according to the demand response time period, the total demand energy consumption, and the electrical parameters.

[0161] The load control module 1006 is configured to solve the objective function according to a plurality of constraint conditions to obtain charge and discharge control instructions for each energy storage unit during the demand response time period, so as to instruct each energy storage unit to control the lighting load of the energy storage lighting system.

[0162] Further, in one embodiment, the function construction module 1004 is further configured to construct a power balance model, a lighting load model, a storage unit state of charge model, a line loss model, and a power consumption cost model according to electrical parameters and a demand response time period; with the goal of minimizing the power consumption cost and line loss of the energy storage lighting system, construct an objective function according to a preset weight coefficient, the line loss model, and the power consumption cost model; and construct a plurality of constraint conditions according to the demand response time period, the total demand energy consumption, the storage unit state of charge model, the power balance model, the energy storage capacity range included in the electrical parameters, and the energy storage charge and discharge power range.

[0163] Further, in one embodiment, the function construction module 1004 is further configured to determine the line impedance of each loop where each lighting module is located, the first current flowing through each line impedance, and the second current flowing through each lighting module according to the topology model of the energy storage lighting system included in the electrical parameters; construct a line loss model according to each line impedance, the first current, the second current, and the demand response time period; construct a power balance model according to the charge and discharge power of each energy storage unit, the load power of each lighting module, and the line loss model included in the electrical parameters; construct a lighting load model according to the target load of the lamps of each lighting module and the lamp drive circuit efficiency included in the electrical parameters; construct a storage unit state of charge model according to the historical state of charge, charge efficiency, discharge efficiency, and current charge and discharge state of each energy storage unit included in the electrical parameters; and construct a power consumption cost model according to the power balance model, the demand response time period, and the electricity price function included in the electrical parameters.

[0164] Further, in one embodiment, the function construction module 1004 is further configured to determine the line loss power of the energy storage lighting system according to each line impedance and the first current; and construct a line loss model according to the line loss power and the demand response time period.

[0165] Further, in one embodiment, the function construction module 1004 is further configured to construct a constraint condition for the total energy consumption according to the demand response time period, the total demand energy consumption, and the power balance model; construct a constraint condition for the storage unit state of charge according to the storage unit state of charge model and the energy storage capacity range; construct a constraint condition for lighting quality according to the power balance model; and construct a constraint condition for the energy storage unit charge and discharge power according to the energy storage charge and discharge power range and the charge and discharge power of each energy storage unit.

[0166] Each module in the above-mentioned aggregated control device 1000 for energy storage lighting load can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in the processor of the computer device in hardware form or be independent of it, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

[0167] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in Figure 11 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as total required energy consumption, demand response time, and electrical parameters. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements an aggregation control method for energy storage lighting loads.

[0168] Those skilled in the art can understand that Figure 11 the structure shown in is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0169] In an embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, it implements the steps in the above method embodiments.

[0170] In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by the processor, it implements the steps in the above method embodiments.

[0171] In an embodiment, a computer program product is provided, including a computer program. When the computer program is executed by the processor, it implements the steps in the above method embodiments.

[0172] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0173] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope recorded in the present application.

[0174] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for controlling energy storage lighting loads, characterized in that: The method comprises: In response to a demand response instruction for an energy storage lighting system, a demand response time period, a total energy consumption required by the energy storage lighting system, and electrical parameters of the energy storage lighting system are obtained; the energy storage lighting system includes a plurality of lighting modules, and an energy storage unit corresponding to each of the lighting modules; With the goal of minimizing the electricity cost and line loss of the energy storage lighting system, an objective function and multiple constraints are constructed according to the demand response time period, the total energy consumption and the electrical parameters; The objective function is solved according to the plurality of constraints to obtain a charge and discharge control instruction for each energy storage unit in the demand response time period, so as to instruct each energy storage unit to regulate the lighting load of the energy storage lighting system.

2. The method according to claim 1, characterized in that The objective of minimizing the electricity cost and line loss of the energy storage lighting system is to construct an objective function and multiple constraints according to the demand response time period, the total energy consumption and the electrical parameters, including: Constructing a power balance model, a lighting load model, an energy storage unit charge model, a line loss model, and an electricity cost model according to the electrical parameters and the demand response time period; With the goal of minimizing the electricity cost and line loss of the energy storage lighting system, an objective function is constructed according to a preset weight coefficient, the line loss model and the electricity cost model; A plurality of constraint conditions are constructed according to the demand response time period, the total energy consumption demanded, the energy storage unit charge model, the power balance model, the energy storage capacity range and the energy storage charge and discharge power range included in the electrical parameters.

3. The method according to claim 2, characterized in that The constructing of a power balance model, a lighting load model, an energy storage unit charge model, a line loss model and an electricity cost model according to the electrical parameters and the demand response time period includes: Determine, according to the topological model of the energy storage lighting system included in the electrical parameters, the line impedance of the loop where each lighting module is located, the first current flowing through each line impedance, and the second current flowing through each lighting module; Constructing a line loss model according to each of the line impedances, the first current, the second current, and the demand response time period; Constructing a power balance model according to the charging and discharging power of each of the energy storage units, the load power of each of the lighting modules, and the line loss model included in the electrical parameters; Constructing a lighting load model according to the target load of the lighting fixture and the efficiency of the lighting fixture driving circuit of each lighting module included in the electrical parameters; Constructing an energy storage unit charging model according to the historical charge, charging efficiency, discharging efficiency and current charging and discharging state of each energy storage unit included in the electrical parameters; An electricity cost model is constructed according to the power balance model, the demand response time period and the electricity price function included in the electricity parameters.

4. The method according to claim 3, characterized in that The constructing a line loss model according to each of the line impedances, the first current, the second current, and the demand response time period includes: Determining the line loss power of the energy storage lighting system according to each of the line impedances and the first current; A line loss model is constructed according to the line loss power and the demand response time period.

5. The method according to claim 2, characterized in that: The expression corresponding to the objective function includes: in, represents the electricity cost model, represents the line loss model, Represents the preset weight coefficient, is a vector, which is composed of the charging and discharging power of n energy storage units at N sampling moments, and the corresponding form is ,in, Represents the charging and discharging power of the nth energy storage unit at the Nth sampling moment.

6. The method according to claim 2, characterized in that The multiple constraints are constructed according to the demand response time period, the total energy consumption required, the energy storage unit charge model, the power balance model, the energy storage capacity range and the energy storage charge and discharge power range included in the electrical parameters, including: Constructing a constraint condition of total energy consumption according to the demand response time period, the total energy consumption demand and the power balance model; Constructing a constraint condition of the energy storage unit charge according to the energy storage unit charge model and the energy storage capacity range; According to the power balance model, constructing lighting quality constraint conditions; According to the energy storage charging and discharging power range and the charging and discharging power of each of the energy storage units, constraints on the charging and discharging power of the energy storage units are constructed.

7. An aggregate control device for energy storage lighting load, characterized in that: The device comprises: A data acquisition module, configured to obtain, in response to a demand response instruction for an energy storage lighting system, a demand response time period, a total energy consumption required by the energy storage lighting system, and electrical parameters of the energy storage lighting system; the energy storage lighting system comprises a plurality of lighting modules, and an energy storage unit corresponding to each of the lighting modules; A function construction module, for constructing an objective function and a plurality of constraints according to the demand response time period, the total demand energy consumption and the electrical parameters with the goal of minimizing the electricity cost and line loss of the energy storage lighting system; A load control module is used to solve the objective function according to the multiple constraints to obtain the charge and discharge control instructions for each energy storage unit in the demand response time period, so as to instruct each energy storage unit to control the lighting load of the energy storage lighting system.

8. An aggregate control system for energy storage lighting loads, characterized in that: The system includes a plurality of lighting modules and a DC energy storage lighting load aggregation control module; The DC energy storage lighting load aggregation control module is connected to each of the lighting modules via a DALL bus, and the DC energy storage lighting load aggregation control module is used to execute the steps of the method according to any one of claims 1 to 6.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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