User-side adjustable load mining device and method

Abstract

The invention discloses a user-side adjustable load mining device and method. The device and method are based on novel distribution network coordinated operation control of an intelligent fusion terminal and an Internet of Things platform. Formulating a theoretical or practical basis for user side adjustable load mining; the technical bottleneck problems of lack of a user-side adjustable load plasticity quantitative evaluation method, lack of distributed photovoltaic and user-side adjustable load collaborative optimization control based on an intelligent fusion terminal and the like in related researches of user-side adjustable load mining and utilization in the prior art are effectively avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of load excavation, and in particular relates to a user-side adjustable load excavation device and method. Background Art

[0002] As mentioned in the prior art solution with patent publication number "CN118396316A", the research on the exploitation and utilization of adjustable loads on the user side began with the concept of demand side management proposed by the United States. With the deepening of foreign and domestic power market reforms, it has expanded to related technologies such as demand side response and ancillary service markets. The dynamic quantitative evaluation technology of the plasticity of adjustable loads on the user side is the key and basis for exploiting adjustable loads, and it is also the key difficulty of this project. The following is a brief introduction to the current status of related research at home and abroad:

[0003] (1) The concept of demand-side response

[0004] The United States first proposed the concept and technology of power demand side management in the 1970s. During the reform of the power market, it proposed demand side response technology to fully play the role of demand side management in the competitive market, maintain system reliability and improve market operation efficiency

[13] . European and American countries have accumulated a lot of theoretical research and practical experience in demand side response. The research on demand side response aims to improve the economy, safety, reliable power supply and energy saving and efficiency of the power system. In terms of improving economy, the U.S. Department of Energy report shows that regional operators such as New York, New England, and Pennsylvania-New Jersey-Maryland Joint Electricity Market benefited by 0.22, 0.04 and 0.29 US dollars per kilowatt per year respectively through demand response. In terms of improving safety, in 2006, Texas in the United States solved the low frequency problem of 59.7Hz caused by the instantaneous loss of 1000MW of power in the power grid through rapid response of demand side resources, ensuring the frequency stability of the power grid. In terms of ensuring reliable power supply, in 2015, Germany alleviated the frequency shortage caused by the decline of photovoltaic power generation during the total solar eclipse by launching demand response.

[0005] my country introduced demand-side management and response technology in the 1990s, aiming to solve the tight electricity supply situation through power market methods. In recent years, with the development of new energy, demand-side response has gradually shown more advantages. The reason is that under the situation of new power system construction, the proportion of wind and solar new energy has increased year by year, and relying solely on the power supply side to provide regulation capabilities cannot fully guarantee the safety and stability of the operation of the new power system. In contrast, the technical solution of finding regulation capabilities from the demand side has low system transformation costs, small hardware transformation scale, and more diversified choices. Therefore, it is necessary to give full play to the role of demand-side resources in the new power system.

[0006] (2) Research status and development trend of demand-side response technology

[0007] In terms of demand-side response technology, many studies have been carried out at home and abroad, mainly including demand-side resource response characteristics analysis, operation control technology, optimization scheduling technology, and collaborative planning technology research. First, the research on demand-side resource response characteristics and power plasticity quantitative evaluation is discussed.

[0008] In terms of the analysis of demand-side resource response characteristics, current research mainly focuses on the traditional regulation method of changing terminal load consumption behavior with market incentives, and most of them only analyze the characteristics of regulation capacity, response speed, etc. that can be provided during the process of user behavior change. Since the regulation capacity provided by the above methods is relatively limited and the support time is also relatively short, in recent years, the method of providing regulation capacity by using the flexible regulation space of the operating conditions of energy storage links such as heat storage, cold storage and electricity storage on the load side and energy conversion links such as electric heating, electric refrigeration and charging piles has gradually attracted widespread attention; different from the traditional regulation capacity stimulated by market incentives, the essential goal of this type of method is to re-explore more regulation capacity from the level of physical characteristics of load system operation. The regulation capacity excavated at the physical level determines the boundary of the regulation capacity obtained by market incentives. At the same time, market behavior can supplement and expand the regulation capacity at the physical level. There is an inherent relationship between the two, which is both restrictive and complementary. However, there is currently a lack of systematic and refined research on the complementary constraint mechanism of the two types of regulation capacity and the regulation capacity of the physical level of adjustable loads.

[0009] In terms of operation and control technology, current research is mainly focused on the field of frequency regulation and ensuring safe and stable operation of the system. In my country, represented by Shanghai, Beijing, Jiangsu, Guangdong, Tianjin and other places, various places have successively implemented peak-shaving and valley-filling demand response. In response to the needs of new energy utilization, supply and demand balance, accident support and other needs of the transmission and receiving power grids in winter heating, peak summer, extreme power grid failures and other scenarios, three specific implementation methods have been formed, including peak shaving, valley filling and precise real-time load control. In addition, a variety of frequency response load aggregation modeling and decentralized control methods for power shortage problems have been proposed at home and abroad; for temperature control loads, electric vehicles, electric energy storage and other typical adjustable loads, it is proposed to use them to provide load reduction for low-frequency load shedding of the power system, and a variety of adjustable load collaborative control methods have been proposed. At present, relevant research has not specifically solved the operational difficulties of large-scale access to rooftop photovoltaics in the entire county of the distribution network; how to achieve the coordinated optimization control of distributed photovoltaics and adjustable loads needs further research.

[0010] In summary, the related research on mining and utilization of user-side adjustable loads still has technical bottlenecks such as lack of quantitative evaluation method for the plasticity of user-side adjustable loads and lack of coordinated optimization control of distributed photovoltaics and user-side adjustable loads based on intelligent fusion terminals. Summary of the invention

[0011] In order to solve the defects existing in the prior art, the present invention proposes a user-side adjustable load mining device and method, a new distribution network coordinated operation control based on intelligent fusion terminals and Internet of Things platforms; formulates theoretical or practical basis for user-side adjustable load mining; effectively avoids the related research on user-side adjustable load mining and utilization in the prior art. Related research still has technical bottlenecks such as lack of quantitative evaluation method for plasticity of user-side adjustable load, lack of coordinated optimization control of distributed photovoltaic and user-side adjustable load based on intelligent fusion terminals.

[0012] The present invention uses the following technical solutions.

[0013] A user-side adjustable load mining method, comprising:

[0014] Step 1: New distribution network coordinated operation control based on intelligent fusion terminals and IoT platform;

[0015] Step 2: Develop theoretical or practical basis for mining adjustable loads on the user side.

[0016] Preferably, step 1 specifically includes: based on the edge computing and information interaction capabilities of the smart fusion terminal and the Internet of Things platform, the distributed photovoltaic and user-side adjustable loads connected to each smart fusion terminal are coupled into micro-federations.

[0017] Preferably, step 1 specifically includes: each micro-federation conducts situational awareness of the distributed photovoltaics it is coupled to and makes accurate power predictions of the output; dynamically quantifies the plasticity of different types of adjustable loads, and optimizes the plasticity aggregation of various types of adjustable loads. Autonomous scheduling is implemented within the federation, and the plasticity of the adjustable load is used to smooth the random volatility of distributed photovoltaics. Mutual scheduling can be achieved between electrically adjacent federations to improve the distributed photovoltaic absorption capacity and the safety and stability level of the distribution network.

[0018] Preferably, step 2 specifically includes:

[0019] Step 2-1: Develop a theoretical basis for the dynamic quantitative evaluation of the plasticity of the user-side adjustable load;

[0020] Step 2-2: Develop a practice basis.

[0021] Preferably, the user-side adjustable loads include urban cooling and heating loads, distributed energy storage, charging piles and some industrial loads; the plasticity of urban cooling and heating loads, charging piles and distributed energy storage adjustable loads comes from the operating condition adjustment space of energy storage links such as heat storage, cold storage and electricity storage, as well as energy conversion links; especially the heating and cooling pipelines and building maintenance in urban cooling and heating loads also have certain natural energy storage characteristics.

[0022] Preferably, step 2-1 specifically includes:

[0023] Heat flow method of thermal system. The heat flow model of thermal system is based on the thermoelectric analogy method. It reveals the constitutive relationship of basic components in the thermal system from the perspective of driving force and impedance of heat transfer. It combines the topological structure of the system to describe the overall heat transfer law in the system, and reveals the overall physical constraints of the heat transfer and conversion process in the system.

[0024] Preferably, step 2-1 specifically also includes: based on the heat flow modeling method, constructing a unified dynamic model of the electric-thermal integrated energy system including a cogeneration device, an electric heat pump electric-thermal coupling element, and considering the heat transfer delay in the heating network and the heat storage characteristics of the building envelope structure.

[0025] Preferably, step 2-1 specifically further includes:

[0026] Construct heat flow models for heating pipes and building envelopes in thermal systems:

[0027] By establishing the connection between the inlet and outlet fluid temperatures of the pipeline at different times, and then shifting the time, the connection between the inlet and outlet fluid temperatures of the pipeline at the same time can be obtained, where the outlet fluid temperature is affected by the inlet fluid temperature at the previous time; considering the non-equilibrium effect of the heat flow in and out of the pipeline at the same time, that is, the heat storage capacity of the fluid in the pipeline, and using the average pipeline temperature T p Description of the connected ground capacitance.

[0028] Preferably, step 2-1 specifically further includes: for the multi-layer envelope structure of the building on the heat user side, a heat flow model of the resistance and capacitance multi-layer envelope structure is proposed by using a thermoelectric analogy method.

[0029] Preferably, step 2-1 specifically further includes: constructing a unified modeling and joint simulation theory of the electric-thermal integrated energy system based on heat flow:

[0030] Based on the power system model, the thermal system model is integrated into the existing power system model system. With heat flow as the core, different components such as heat exchangers, building envelopes, pipelines, etc. are analyzed under constraints in steady and dynamic processes. Thermal system heat flow models consistent with the power system model architecture are established respectively, reflecting the resistance, capacitance and delay characteristics in the heat transfer process. Then the thermal system model is directly combined with the power system model to form a unified multi-energy flow model of the power-heat integrated energy system.

[0031] Preferably, step 2-2 specifically includes: the power system builds an information highway for the distribution network, connecting the distributed power sources, the user-side adjustable loads and the power grid control center.

[0032] A user-side load-adjustable excavation device, comprising:

[0033] Coordination module, which is used for coordinated operation control of new distribution networks based on intelligent fusion terminals and IoT platforms;

[0034] A formulation module is used to formulate a theoretical or practical basis for mining adjustable loads on the user side.

[0035] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0036] Coordinated operation and control of a new distribution network based on intelligent fusion terminals and the Internet of Things platform; Formulate theoretical or practical basis for mining adjustable loads on the user side; Effectively avoid related research on mining and utilization of adjustable loads on the user side in existing technologies. Related research still has technical bottlenecks such as lack of quantitative evaluation methods for the plasticity of adjustable loads on the user side, lack of coordinated optimization control of distributed photovoltaics and adjustable loads on the user side based on intelligent fusion terminals. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a flow chart of the user-side adjustable load mining method of the present invention;

[0038] Figure 2 It is a schematic diagram of the architecture of the user-side adjustable load excavation device of the present invention;

[0039] Figure 3 It is a schematic diagram of the principle of the connection between the inlet and outlet fluid temperatures of the pipeline in the present invention;

[0040] Figure 4 It is a schematic diagram of the principle of the heat storage capacity of the fluid in the pipeline of the present invention;

[0041] Figure 5 It is a schematic diagram of the principle of the multi-layer enclosure structure of the heat user side building described in the present invention;

[0042] Figure 6 It is a schematic diagram of the principle of the heat flow model of the multi-layer enclosure structure described in the present invention;

[0043] Figure 7 It is a schematic diagram of the principle of the heat flow model (steady state, dynamic process) of the heat energy transmission component described in the present invention;

[0044] Figure 8 It is a principle schematic diagram of the heat flow network model of the electric-thermal integrated energy system described in the present invention. DETAILED DESCRIPTION

[0045] Related research on the mining and utilization of user-side adjustable loads Related research still has technical bottlenecks such as the lack of quantitative evaluation methods for the plasticity of user-side adjustable loads, and the lack of coordinated optimization control of distributed photovoltaics and user-side adjustable loads based on intelligent fusion terminals. Under the new situation of the "dual carbon" goal and the construction of new power systems, the development and utilization of user-side adjustable loads have been given more important value. At the same time, distributed photovoltaic construction is also in a period of rapid development. Using large-scale user-side adjustable loads to smooth the randomness and volatility of distributed photovoltaics and realize the safe and stable operation of new distribution systems will become one of the important tasks of power grid companies. Therefore, the research idea of ​​the comprehensive coordinated operation of distributed sources and loads in a new distribution network based on intelligent fusion terminals proposed in this invention is completely in line with the current development trend of new power systems, and has important practical significance and theoretical research value.

[0046] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely expressed in combination with the drawings in the embodiments of the present invention. The embodiments expressed in this application are only part of the embodiments of the present invention, not all of them. According to the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0047] like Figure 1 As shown, a user-side adjustable load mining method according to the present invention comprises:

[0048] The adjustment ability of the adjustable load on the user side is mainly reflected in the plasticity of its power curve. The plasticity of the physical factors of the adjustable load comes from the flexible operating space of the energy supply system equipment, that is, under the premise of ensuring that the terminal power demand remains unchanged, the power curve is reshaped by adjusting the operation mode of the energy supply system. The plasticity of the market factors of the adjustable load comes from the market incentive mechanism to guide users to make subjective adjustments to their electricity consumption behavior, and through the artificial method of the market mechanism, the purpose of changing the power curve is achieved at the expense of a certain degree of electricity comfort; the plasticity of the above two sources is significantly different in time scale, response speed, adjustment range, and adjustment cost. The complementary superposition of characteristics can be achieved through collaborative optimization aggregation and other methods, so as to maximize the power plasticity of the adjustable load on the user side.

[0049] Step 1: New distribution network coordinated operation control based on intelligent fusion terminals and IoT platform;

[0050] In a preferred but non-restrictive implementation of the present invention, step 1 specifically includes: based on the edge computing and information interaction capabilities of the smart fusion terminal and the Internet of Things platform, the distributed photovoltaic and user-side adjustable loads connected to each smart fusion terminal are coupled into micro-federations.

[0051] In a preferred but non-restrictive implementation of the present invention, step 1 specifically also includes: each micro-federation performs situational awareness of the distributed photovoltaics it is coupled to and performs accurate power prediction of the output; performs dynamic quantitative evaluation of the plasticity of different types of adjustable loads, and optimizes the plasticity aggregation of various types of adjustable loads. Autonomous scheduling is implemented within the federation, and the plasticity of the adjustable load is used to smooth the random volatility of distributed photovoltaics. Mutual assistance scheduling can be achieved between electrically adjacent federations to improve the distributed photovoltaic absorption capacity and the safety and stability level of the distribution network. All federations as a whole can also be "coordinated" with the distribution network control platform to provide peak load regulation, frequency regulation, and emergency control services for the distribution network, and further play the consistent coordination of all federations. Through the federal control strategy of "internal autonomy, adjacent mutual assistance, and overall coordination", the federal control and operation of the distribution network on distributed photovoltaics and adjustable loads is realized, and the intelligent control problem of the new distribution network is efficiently solved.

[0052] Step 2: Develop theoretical or practical basis for mining adjustable loads on the user side.

[0053] In a preferred but non-limiting embodiment of the present invention, step 2 specifically comprises:

[0054] Step 2-1: Develop a theoretical basis for the dynamic quantitative evaluation of the plasticity of the user-side adjustable load;

[0055] In a preferred but non-restrictive implementation of the present invention, the user-side adjustable loads mainly include urban cold and hot loads, distributed energy storage, charging piles, and some industrial loads; the plasticity of adjustable loads such as urban cold and hot loads, charging piles, and distributed energy storage mainly comes from the energy storage links such as heat storage, cold storage, and electricity storage, as well as the operating condition adjustment space of the energy conversion link; especially the heating and cooling pipelines and building maintenance in urban cold and hot loads also have certain natural energy storage characteristics. Accurate dynamic quantitative evaluation of the overall plasticity of cold and hot loads is the top priority of the research work and also the key issue of the research work. Combined with the topological structure in the thermal system, an overall heat flow model of the thermal system is proposed to describe the overall transmission law of thermal energy. Starting from the mechanism-based physical property modeling method, a quantitative evaluation method for dynamically evaluating the plasticity of its physical factors is studied.

[0056] In a preferred but non-limiting embodiment of the present invention, step 2-1 specifically comprises:

[0057] Heat flow method for thermal systems. The heat flow model for thermal systems is based on the thermoelectric analogy method. It reveals the constitutive relationship of the basic components in the thermal system from the perspective of the driving force and impedance of heat transport, and combines the topological structure of the system to describe the overall heat transport law in the system, revealing the overall physical constraints of the heat transport and conversion process in the system. In recent years, the heat flow method has been extended to the steady-state and dynamic process analysis of different heat transfer and storage links in thermal systems, and the overall constraints of the thermal system are divided into linear topological constraints and nonlinear component constraints, clarifying the overall transport and conversion laws of heat in the thermal system.

[0058] In a preferred but non-limiting embodiment of the present invention, step 2-1 specifically also includes: based on the heat flow modeling method, constructing a unified dynamic model of the electric-thermal integrated energy system including cogeneration devices, electric heat pumps and other electric-thermal coupling elements, taking into account the heat transfer delay in the heating network and the heat storage characteristics of the building envelope structure.

[0059] In a preferred but non-limiting embodiment of the present invention, step 2-1 specifically further comprises:

[0060] Construct heat flow models for heating pipes and building envelopes in thermal systems:

[0061] When studying the fluid in the heating pipeline, the main focus is on the relationship between its inlet and outlet temperatures. Since the transportation of fluid in the pipeline takes time, the relationship between the inlet and outlet temperatures at the same time is actually not significant. When paying attention to the process of a certain fluid particle flowing through the pipeline, it is easy to find that the heat exchange with the environment during the process of entering and leaving the pipeline is the main reason for its temperature change. From this perspective, the relationship between the inlet and outlet fluid temperatures of the pipeline at different times can be established, and then by translating time, the relationship between the inlet and outlet fluid temperatures of the pipeline at the same time can be obtained, where the outlet fluid temperature is affected by the inlet fluid temperature at the previous moment, such as Figure 3 As shown in Figure 2, since the temperature in the pipeline has a spatial distribution, if it is regarded as a whole, it is necessary to consider the non-equilibrium effect of the heat flow in and out of the pipeline at the same time, that is, the heat storage capacity of the fluid in the pipeline, which is used to compare the average temperature T of the pipeline. p The connected ground capacitance description (such as Figure 4 where the time shift of the outlet temperature is controlled by a controlled voltage source ε p Description, reflecting the delay characteristics of pipeline transportation.

[0062] In a preferred but non-limiting embodiment of the present invention, step 2-1 specifically also includes: since heat users are subjected to the combined effects of heating by the heating network, indoor heat generation, solar radiation, environmental heat dissipation, air heat storage, and heat storage in the enclosure structure, it is necessary to study the dynamic changes of temperature and heat flow under various thermal effects. Among them, the most critical process in the thermal model of heat users is the heat dissipation process from the indoor environment through the enclosure structure, and it is necessary to build a heat flow model under multiple heat sources and multiple heat storage structures based on this. For example, Figure 5 The multi-layer building envelope structure on the heat user side shown in the figure adopts the thermal power analogy method to propose Figure 6 The heat flow model of the multi-layer enclosure structure with resistors and capacitors is shown in Figure 1. The heat conduction process between each control body is described by the power-on process of the resistors connected between the corresponding temperature nodes, and the heat storage process of each control body is described by the charging and discharging process of the corresponding temperature nodes connected to the grounded capacitors.

[0063] In a preferred but non-limiting embodiment of the present invention, step 2-1 specifically further includes: constructing a unified modeling and joint simulation theory of the electric-thermal integrated energy system based on heat flow:

[0064] Based on the power system model, the thermal system model is integrated into the existing power system model system, such as Figure 7 As shown in the figure, with heat flow as the core, the heat exchanger, building envelope, pipeline and other components are analyzed under the constraints of steady and dynamic processes, and the heat flow model of the thermal system consistent with the power system model architecture is established, which reflects the characteristics of resistance, capacitance and delay in the heat transfer process; then the thermal system model is directly combined with the power system model to form the following Figure 8 The unified multi-energy flow model of the electric-thermal integrated energy system shown can conduct overall static and dynamic analysis of the transmission, storage, and conversion processes of the multi-energy flows, providing a basis for accurate analysis and operation simulation of the system.

[0065] Step 2-2: Develop a practice basis.

[0066] In a preferred but non-restrictive implementation of the present invention, step 2-2 specifically includes: With the acceleration of the State Grid's progress in the automation and intelligent construction of distribution networks, intelligent fusion terminals, intelligent switches and smart meters have been widely used in urban distribution networks. The power system has built a safe, reliable and efficient information highway for the distribution network that connects distributed power sources, user-side adjustable loads and the power grid control center, which can easily incorporate massive distributed user-side adjustable loads into the dispatching and operation of the entire network. Among them, the fusion terminal, intelligent switch and smart meter all have strong edge computing capabilities, can implement advanced and complex algorithms, and can also realize information cross-talk between different fusion terminals. Therefore, there is a good practical basis for realizing the comprehensive coordinated operation of distributed sources and loads in the distribution network based on intelligent fusion terminals.

[0067] like Figure 2 As shown, a user-side adjustable load excavation device according to the present invention comprises:

[0068] Coordination module, which is used for coordinated operation control of new distribution networks based on intelligent fusion terminals and IoT platforms;

[0069] A formulation module is used to formulate a theoretical or practical basis for mining adjustable loads on the user side.

[0070] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0071] Coordinated operation and control of a new distribution network based on intelligent fusion terminals and the Internet of Things platform; Formulate theoretical or practical basis for mining adjustable loads on the user side; Effectively avoid related research on mining and utilization of adjustable loads on the user side in existing technologies. Related research still has technical bottlenecks such as lack of quantitative evaluation methods for the plasticity of adjustable loads on the user side, lack of coordinated optimization control of distributed photovoltaics and adjustable loads on the user side based on intelligent fusion terminals.

[0072] The present disclosure can be a system, a method and / or a computer program product. The computer program product can include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement each aspect of the present disclosure.

[0073] A computer-readable storage medium can be a tangible device that can hold and store instructions for use by an instruction execution device. A computer-readable storage medium can be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. More specific examples (a non-exhaustive list) of computer-readable storage media include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the above. The computer-readable storage medium used herein is not to be interpreted as a transient signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (such as a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0074] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.

[0075] The computer program instructions for performing the operations of the present disclosure can be assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as "C" language or similar programming languages. The computer-readable program instructions can be executed entirely on the controller computer, partially on the controller computer, as a separate software package, partially on the controller computer and partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the controller computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (such as connecting through the Internet using an Internet service provider). In some embodiments, each aspect of the present disclosure is implemented by utilizing state information of computer-readable program instructions to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), which can execute computer-readable program instructions.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for mining user-side adjustable loads, characterized in that: include: Step 1: New distribution network coordinated operation control based on intelligent fusion terminals and IoT platform; Step 2: Develop theoretical or practical basis for mining adjustable loads on the user side.

2. The user-side adjustable load mining method according to claim 1, characterized in that: Step 1 specifically includes: based on the edge computing and information interaction capabilities of the intelligent fusion terminal and the IoT platform, the distributed photovoltaic and user-side adjustable loads connected to each intelligent fusion terminal are coupled into micro-federations; Step 1 specifically includes: each micro-federation conducts situational awareness of the distributed photovoltaics it is coupled to and makes accurate power predictions of the output; dynamically quantifies the plasticity of different types of adjustable loads and optimizes the plasticity aggregation of various types of adjustable loads. Autonomous scheduling is implemented within the federation, and the plasticity of adjustable loads is used to smooth the random volatility of distributed photovoltaics. Mutual scheduling can be achieved between electrically adjacent federations to improve the distributed photovoltaic absorption capacity and the safety and stability of the distribution network.

3. The user-side adjustable load mining method according to claim 2, characterized in that: Step 2 specifically includes: Step 2-1: Develop a theoretical basis for the dynamic quantitative evaluation of the plasticity of the user-side adjustable load; Step 2-2: Develop a practice basis.

4. The user-side adjustable load mining method according to claim 3, characterized in that: The adjustable loads on the user side include urban cooling and heating loads, distributed energy storage, charging piles and some industrial loads. The plasticity of urban cooling and heating loads, charging piles and distributed energy storage adjustable loads comes from the operating condition adjustment space of energy storage links such as heat storage, cold storage and electricity storage, as well as energy conversion links. In particular, the heating and cooling pipelines and building maintenance in urban cooling and heating loads also have certain natural energy storage characteristics.

5. The user-side adjustable load mining method according to claim 4, characterized in that: Step 2-1 specifically includes: Heat flow method of thermal system. The heat flow model of thermal system is based on the thermoelectric analogy method. It reveals the constitutive relationship of basic components in the thermal system from the perspective of driving force and impedance of heat transfer. It combines the topological structure of the system to describe the overall heat transfer law in the system, and reveals the overall physical constraints of the heat transfer and conversion process in the system.

6. The user-side adjustable load mining method according to claim 5, characterized in that: Step 2-1 specifically also includes: based on the heat flow modeling method, constructing a unified dynamic model of the electric-thermal integrated energy system including a cogeneration device, an electric heat pump electric-thermal coupling element, and considering the heat transmission delay in the heating network and the heat storage characteristics of the building envelope structure.

7. The user-side adjustable load mining method according to claim 6, characterized in that: Step 2-1 specifically also includes: Construct heat flow models for heating pipes and building envelopes in thermal systems: By establishing the connection between the inlet and outlet fluid temperatures of the pipeline at different times, and then shifting the time, the connection between the inlet and outlet fluid temperatures of the pipeline at the same time can be obtained, where the outlet fluid temperature is affected by the inlet fluid temperature at the previous time; considering the non-equilibrium effect of the heat flow in and out of the pipeline at the same time, that is, the heat storage capacity of the fluid in the pipeline, and using the average pipeline temperature T p Description of the connected ground capacitance.

8. The user-side adjustable load mining method according to claim 7, characterized in that: Step 2-1 specifically includes: for the multi-layer building envelope structure on the heat user side, a heat flow model of the resistance and capacitance multi-layer envelope structure is proposed by using the thermoelectric analogy method; Step 2-1 specifically includes: constructing a unified modeling and joint simulation theory of the electric-thermal integrated energy system based on heat flow: Based on the power system model, the thermal system model is integrated into the existing power system model system. With heat flow as the core, different components such as heat exchangers, building envelopes, pipelines, etc. are analyzed under constraints in steady and dynamic processes. Thermal system heat flow models consistent with the power system model architecture are established respectively, reflecting the resistance, capacitance and delay characteristics in the heat transfer process. Then the thermal system model is directly combined with the power system model to form a unified multi-energy flow model of the power-heat integrated energy system.

9. The user-side adjustable load mining method according to claim 8, characterized in that: Step 2-2 specifically includes: the power system builds an information highway for the distribution network that connects distributed power sources, user-side adjustable loads and the power grid control center.

10. A user-side adjustable load excavation device, characterized in that: include: Coordination module, which is used for coordinated operation control of new distribution networks based on intelligent fusion terminals and IoT platforms; A formulation module is used to formulate a theoretical or practical basis for mining adjustable loads on the user side.

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