Novel electric power system demand side response management and control method and device

Abstract

The invention relates to the technical field of power system demand side management and reliability calculation, and discloses a novel power system demand side response management and control method and device. The method specifically comprises the following steps: establishing a novel power system reliability cost evaluation model considering user differentiated reliability requirements; calculating the system reliability cost when the demand side response is not considered and the system reliability cost of the power load under different demand response participation quantities by using the model, and generating a demand response participation quantity-reliability cost relation curve of the load; and calculating the average value of the reliability cost in the user pre-estimated demand response participation amount interval, and calculating the demand side response excitation cost according to the average value and the system reliability cost when the demand side response is not considered. The method can effectively stimulate the user to participate in demand side response, and can effectively solve the problems that the reliability demand of user differentiation is difficult to quantitatively evaluate, and the benefit and cost generated by demand response are difficult to measure and calculate.

Description

Technical Field

[0001] The present application relates to the field of power system demand side management and reliability calculation, and specifically to a novel power system demand side response management and control method and device. Background Art

[0002] Ensuring safe and reliable power supply to users is a basic task in power system planning and operation. In the context of global energy green transformation, the reliability of power supply is affected by the new characteristics of new power systems. As the difficulty of optimizing supply-side resource allocation continues to increase, the utilization and optimal allocation of load-side resources have become an important means to promote the construction of new power systems and achieve "guaranteeing supply and promoting consumption" of electricity. Implementing load control according to user power supply reliability requirements can optimize system resource allocation, reduce system operating costs, improve demand elasticity, and alleviate the tight power supply situation. With the transformation of the traditional "source follows load" dispatching mode to the "source, grid, load, and storage multi-coordination" dispatching mode, it is necessary to deeply explore the flexibility of demand-side power resources, differentiate the control of demand-side response, and effectively coordinate the reliability and economy of power supply.

[0003] As the penetration rate of new energy sources in the power grid continues to increase, the reliability of power supply to users faces great challenges. Under the "multi-coordination of source, grid, load and storage" mode, the scheme for maintaining power supply reliability in the new power system presents new characteristics. However, the existing demand response mechanism is mainly aimed at peak load supply, and its cost-price transmission mechanism is unclear, making it difficult to clearly define the cost of the system dispatching various resources to ensure reliability under various operating conditions. How to consider the operating characteristics of the new power system, how to fully reflect the complex costs paid by the system to ensure reliability in the management and control scheme, how to evaluate the differentiated reliability needs of users, and how to measure the benefits and costs of demand response are the difficulties that the demand-side response management and control methods of the new power system need to solve. Summary of the invention

[0004] The present application provides a new method for demand-side response control of a new power system to solve the problems in the prior art of how to consider the operating characteristics of the new power system, how to fully reflect the complex costs paid by the system to ensure reliability in the control plan, how to evaluate the differentiated reliability needs of users, and how to measure the benefits and costs generated by demand response.

[0005] Correspondingly, the present application also provides a new type of power system demand-side response control device, an electronic device, and a computer-readable storage medium to ensure the implementation and application of the above method.

[0006] In order to solve the above technical problems, the present application discloses a novel power system demand side response control method, the method comprising:

[0007] Establish a new power system reliability cost assessment model that takes into account the differentiated reliability needs of users; the new power system reliability cost assessment model uses the reliability cost calculation parameters of the new power system under the "multi-coordination of source, grid, load and storage" dispatching mode as input;

[0008] A new power system reliability cost assessment model is used to calculate the system reliability cost without considering the demand side response.

[0009] The new power system reliability cost assessment model is used to calculate the system reliability cost of power loads under different demand response participation levels, and generate a demand response participation-reliability cost relationship curve for loads;

[0010] Based on the demand response participation amount-reliability cost relationship curve of the load, calculate the average reliability cost within the user's estimated demand response participation amount range;

[0011] The demand-side response incentive fee is calculated based on the system reliability cost when demand-side response is not considered and the average reliability cost within the user's estimated demand response participation range.

[0012] The present application also discloses a novel power system demand side response control device, the device comprising:

[0013] The model building module is used to establish a new power system reliability cost assessment model that takes into account the differentiated reliability needs of users; the new power system reliability cost assessment model uses the reliability cost calculation parameters of the new power system under the "multi-coordination of source, grid, load and storage" dispatching mode as input;

[0014] A reliability cost calculation module is used to calculate the system reliability cost without considering the demand side response using a new power system reliability cost assessment model;

[0015] The reliability cost calculation module is also used to calculate the system reliability cost of the power load under different demand response participation amounts using a new power system reliability cost assessment model, and generate a demand response participation amount-reliability cost relationship curve of the load;

[0016] The demand-side response incentive module is used to calculate the average reliability cost within the user's estimated demand response participation range based on the demand response participation amount-reliability cost relationship curve of the load;

[0017] The demand-side response incentive module is also used to calculate the demand-side response incentive fee based on the system reliability cost when the demand-side response is not considered and the average value of the reliability cost within the user's estimated demand response participation range.

[0018] The present application also discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, one or more methods described in the present application are implemented.

[0019] The present application also discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, one or more methods described in the present application are implemented.

[0020] This application has the following beneficial effects:

[0021] (1) This application proposes a new power system demand-side response management and control method that takes into account the differentiated reliability needs of users. It fully considers the differences in power users' demand for power supply reliability and the operating characteristics of the new power system, and can effectively motivate users to participate in demand-side response.

[0022] (2) This application proposes a system reliability cost assessment model that adapts to the "multi-coordination of source, grid, load and storage" dispatching mode of the new power system. It fully considers the scheme of maintaining power supply reliability of the new power system, can adapt to the new operating characteristics of the new power system, and clearly reflects the specific costs paid by each link of the new power system to ensure power reliability.

[0023] (3) This application proposes a new demand-side response incentive scheme that fully considers the problem that the demand response amount is difficult to accurately evaluate. By providing a clear relationship between the demand-side response participation amount and the reduction of system costs, it can effectively solve the problem that the differentiated reliability needs of users are difficult to quantify and evaluate, and the benefits and costs generated by demand response are difficult to measure.

[0024] Additional aspects and advantages of the present application will be given in the following description, which will become apparent from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0026] Figure 1 A flow chart of a novel power system demand side response control method provided in an embodiment of the present application;

[0027] Figure 2 The demand response participation amount-reliability cost relationship curve provided in the embodiment of the present application;

[0028] Figure 3 A schematic diagram of the structure of a new power system demand side response control device provided in an embodiment of the present application;

[0029] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be interpreted as limiting the present application.

[0031] It will be understood by those skilled in the art that, unless expressly stated, the singular forms "one", "said", and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present application refers to the presence of features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may be an intermediate element. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein includes all or any unit and all combinations of one or more associated listed items.

[0032] Those skilled in the art will appreciate that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as those generally understood by those skilled in the art in the field to which the present invention belongs. It should also be understood that terms such as those defined in general dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless specifically defined as here.

[0033] The solution provided in the embodiments of the present application can be executed by any electronic device, such as a terminal device or a server, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited to this. The terminal and the server can be directly or indirectly connected via wired or wireless communication, and this application does not limit this. With respect to the technical problems existing in the prior art, the new power system demand side response control method and device provided in this application is intended to solve at least one of the technical problems of the prior art.

[0034] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0035] The present application embodiment provides a novel power system demand side response control method, such as Figure 1 As shown in , the method may include the following steps:

[0036] Step 101, establishing a new power system reliability cost assessment model that takes into account differentiated reliability requirements of users; the new power system reliability cost assessment model uses the reliability cost calculation parameters of the new power system under the "source-grid-load-storage multi-coordination" dispatching mode as input;

[0037] Step 102, using a new power system reliability cost assessment model to calculate the system reliability cost without considering the demand side response;

[0038] In the embodiment of the present application, the calculated system reliability cost without considering the demand-side response is used as the basis for calculating the reliability electricity price increment shared by all users.

[0039] Step 103, using the new power system reliability cost assessment model to calculate the system reliability cost of the power load under different demand response participation amounts, and generate a demand response participation amount-reliability cost relationship curve of the load;

[0040] Step 104, based on the demand response participation amount-reliability cost relationship curve of the load, calculate the average reliability cost within the user's estimated demand response participation amount range;

[0041] Step 105, calculate the demand side response incentive fee based on the system reliability cost when the demand side response is not considered and the average value of the reliability cost within the user's estimated demand response participation range.

[0042] In the embodiment of the present application, the demand-side response incentive fee is obtained by calculating the difference between the system reliability cost when the demand-side response is not considered and the average value of the reliability cost within the user's estimated demand response participation range.

[0043] In the embodiment of the present application, a new power system reliability cost evaluation model considering the differentiated reliability needs of users is established, which fully considers the differences in the power supply reliability needs of power users and the operating characteristics of the new power system, and can effectively encourage users to participate in demand-side response. The new power system reliability cost evaluation model takes the reliability cost calculation parameters of the new power system under the "source-grid-load-storage multi-coordination" dispatching mode as input, adapts to the "source-grid-load-storage multi-coordination" dispatching mode of the new power system, fully considers the scheme of maintaining power supply reliability of the new power system, can adapt to the new operating characteristics of the new power system, and clearly reflects the specific costs paid by each link of the new power system to ensure the reliability of electricity use. The new power system reliability cost evaluation model is used to calculate the system reliability cost when the demand side response is not considered; the new power system reliability cost evaluation model is used to calculate the system reliability cost of the power load under different demand response participation amounts, and generate the demand response participation amount-reliability cost relationship curve of the load; based on the demand response participation amount-reliability cost relationship curve of the load, the average value of the reliability cost in the user's estimated demand response participation amount interval is calculated; according to the system reliability cost when the demand side response is not considered and the average value of the reliability cost in the user's estimated demand response participation amount interval, the demand side response incentive fee is calculated. The problem of the difficulty in accurately evaluating the amount of demand response is fully considered. By providing a clear relationship between the amount of demand-side response participation and the reduction of system costs, it can effectively solve the problem that the differentiated reliability needs of users are difficult to quantify and evaluate, and the benefits and costs of demand response are difficult to measure. In the context of global energy green transformation, this method can provide new ideas and methods for differentiated control of demand-side response, optimization of resource allocation, and coordination of reliability and economy of power supply in new power systems.

[0044] The method in the embodiment of the present application can provide the dispatching and operation departments and the policy-making departments with a clear quantity-price relationship between the reliability of the new power system and the user's participation in demand-side response, and can provide quantitative support for the formulation of relevant power load control plans.

[0045] In an optional embodiment, the decision variables of the new power system reliability cost assessment model include investment decision variables and operation decision variables.

[0046] In an optional embodiment, the objective function of the new power system reliability cost assessment model is to minimize the total system cost, and the total system cost includes the system reliability cost and the system operation cost.

[0047] Among them, the system reliability cost is represented by the additional reliability cost incurred to meet the system reliability requirements, such as the cost of additional power supply.

[0048] In an optional embodiment, the constraints of the new power system reliability cost assessment model include various types of resource scheduling constraints, system power balance constraints, network transmission constraints, source-grid-load-storage evaluation index constraints, user reliability perception level constraints and other constraints.

[0049] In an optional embodiment, the mathematical expression of the new power system reliability cost assessment model is:

[0050] minC=C Rel +C Ope

[0051] sC Rel =g(x C ),C Ope =h(x E )

[0052] F(x C )≤0,G(x E )≤0,H(x C ,x E )≤0

[0053] In the formula, C represents the total cost; C Rel represents the system reliability cost; C Ope Represents the total operating cost of the system; x C represents the investment decision variable; x E represents the operation decision variable; g(·) represents the functional relationship between the investment decision variable and the reliability cost; h(·) represents the functional relationship between the operation decision variable and the operation cost; F(·), G(·), H(·) represent inequality constraints, including various types of resource scheduling constraints, system power balance constraints, network transmission constraints, source-grid-load-storage evaluation index constraints and user reliability perception level constraints.

[0054] Among them, the system reliability cost C Rel It includes the additional investment costs incurred by each link of source, grid, load and storage to meet the system reliability requirements, such as the additional reliability cost on the power supply side, the additional reliability cost on the grid side, and the additional reliability cost on the energy storage side; the total system operating cost C Ope Including but not limited to system operation cost, operation and maintenance cost, renewable energy curtailment penalty and system load shedding penalty; investment decision variable x C It can add new power supply capacity; run the decision variable x E It can include the power output at a certain moment, the user demand side response, and the user load loss.

[0055] Specifically, the new power system reliability cost assessment model aims to improve the cost required for system reliability and minimize the system operation cost, and its objective function is:

[0056]

[0057] Where: w / Ω SC is the scene index / collection; C all-s , C all-n , C all-e They are the newly added reliability cost on the power supply side, the newly added reliability cost on the grid side, and the newly added reliability cost on the energy storage side under scenario w. is the system operation cost under scenario w; is the system operation and maintenance cost under scenario w; is the penalty cost of renewable energy curtailment under scenario w; is the system load shedding penalty cost under scenario w. Among them, the various costs are:

[0058]

[0059] Where, k / Ω P is the network topology node index / set; t / T is the analysis period index / set; u k / Φ Gen,k , l k / Φ Line,k 、s k / Φ Sto,k , and They are the indexes / sets of the newly added power supply, newly added transmission lines, newly added energy storage equipment, existing thermal power units, existing energy storage equipment, photovoltaic units, wind power units, and hydropower units at node k; It represents the equal payment capital recovery factor of the newly built power supply; They represent the discounted value of the investment amount of the newly built power supply, the discounted value of loan interest, the discounted value of residual value, the discounted value of regular inspection and maintenance cost, the discounted value of spinning reserve cost, and the discounted value of peak load compensation cost; r T Indicates the tax rate; represents the equal-payment capital recovery factor for a new transmission line; They represent the discounted value of the investment amount of the new transmission line, the discounted value of the loan interest, the loss cost, the discounted value of the residual value, the investment amount of the supporting equipment reinforcement, the residual value of the supporting equipment reinforcement, and the discounted value of the regular inspection and maintenance cost; represents the equal-payment capital recovery factor for new energy storage; They represent the discounted value of the investment in new energy storage, the discounted value of loan interest, the discounted value of residual value, the discounted value of regular inspection and maintenance costs, and the current year value of peak load compensation costs. and are the thermal power units at node k respectively. Unit generation costs, startup costs and shutdown costs; is the thermal power unit at node k in scenario w The power generated in period t; and They are the thermal power units at node k in scenario w. Boolean variables for starting and stopping states during period t; is the energy storage device at node k Operating cost per unit of charging or discharging power; and They are the energy storage devices at node k in scenario w. Discharging and charging power in period t; and are the newly added guaranteed power supply u at node k w,k Unit generation costs, startup costs and shutdown costs; The newly added power supply u at node k w,k The power generated in period t; and They are the newly added guaranteed power supply u at node k w,k Boolean variables for start and stop status during period t; is the newly added energy storage device s at node k k Operating cost per unit of charging or discharging power; and They are the newly added energy storage devices s at node k in scenario w. k Discharging and charging power in period t; and are the stock of thermal power units at node k Wind turbines Photovoltaic unit Hydropower Unit Existing energy storage equipment Operation and maintenance costs per unit installed capacity; and are the stock of thermal power units at node k Wind turbines Photovoltaic unit Hydropower Unit Existing energy storage equipment The installed capacity; ρ ne A penalty factor for curtailing electricity from renewable energy sources; and are the penalty weights for wind power, photovoltaic power and hydropower curtailment at node k respectively; and They are the wind turbines at node k in scenario w. Photovoltaic unit Hydropower Unit Maximum output during period t; and They are the wind turbines at node k in scenario w. Photovoltaic unit Hydropower Unit The actual decision-making output in period t; ρ load is the penalty factor for load shedding; is the load shedding penalty weight at node k; is the load shedding amount of node k in period t under scenario w.

[0060] Various types of resource scheduling constraints include:

[0061] (1) Constraints on existing thermal power units

[0062]

[0063] Where: is the stock of thermal power units at node k under scenario w Boolean variable of the running status in the period t; Ω SC Represents a collection of scenes; is the stock of thermal power units at node k The time required for shutdown from the initial moment; is the stock of thermal power units at node k The time required for startup from the initial moment; and Represent the stock of thermal power units at node k The minimum allowed continuous operation time and minimum continuous shutdown time; and are the stock of thermal power units at node k The time between the initial moment and the most recent startup and shutdown; N T Indicates the total number of time slots for scheduling; and are the stock of thermal power units at node k The minimum and maximum technical output of and are the stock of thermal power units at node k Maximum downward and upward climbing rates; and are the stock of thermal power units at node k The maximum downward ramp rate in the shutdown state and the maximum upward ramp rate in the startup state.

[0064] (2) New constraints on guaranteed power supply

[0065]

[0066] Where: represents the newly added guaranteed power supply u at node k in scenario w k Boolean variable of the running status during the t period; The newly added power supply u at node k k The time required for shutdown from the initial moment; The newly added power supply u at node k k The time required for startup from the initial moment; and They represent the newly added guaranteed power supply u at node k respectively k The time from the initial moment to the most recent startup completion and the time from the most recent shutdown completion; and are the newly added guaranteed power supply u at node k k The time between the initial moment and the most recent startup and shutdown; and are the newly added guaranteed power supply u at node k k The minimum and maximum technical output of and are the newly added guaranteed power supply u at node k k Maximum downward and upward climbing rates; and are the newly added guaranteed power supply u at node k k The maximum downward ramp rate in the shutdown state and the maximum upward ramp rate in the startup state.

[0067] (3) Constraints on new energy generators

[0068]

[0069] (4) Constraints on hydropower units

[0070]

[0071] Where: Represents the hydropower unit at node k Piecewise linearization function of flow-output characteristic; and They are the hydropower units at node k. Flow-output characteristic piecewise linearization function δ H,k The coefficients of the first-order and constant terms of the segment; Ω P represents a collection of hydroelectric units; is the hydropower unit at node k in scenario w The corresponding water storage capacity of the reservoir in period t; is the hydropower unit at node k in scenario w The natural water flow in period t; is the hydropower unit at node k in scenario w Outbound flow; and They are the hydropower units at node k. The lower and upper limits of the outflow flow corresponding to the power station; is the hydropower unit at node k in scenario w The power generation flow; Δt is the unit time duration; and They are the hydropower units at node k. The corresponding lower and upper limits of the water storage capacity of the reservoir; and are the indexes / sets of the weekly regulation and daily regulation hydropower units at node k respectively; t WN / Ω WN and t DN / Ω DN They are the index / collection of the end time of each week and day respectively; and They are the hydropower units with weekly and daily regulation cycles at node k. and Initial water storage capacity; and They are the hydropower units with weekly and daily regulation cycles at node k in scenario w. and Water storage at the end of the regulation period; and are the hydropower units at node k respectively. The minimum and maximum technical output.

[0072] (5) Constraints on existing energy storage equipment

[0073]

[0074] Where: and They are the energy storage devices at node k in scenario w. A Boolean variable representing the charging and discharging status during the period t; and are the energy storage devices at node k. Minimum charging and discharging power; and are the energy storage devices at node k. Maximum charge and discharge power; and are the energy storage devices at node k. The charging and discharging efficiency; is the stock energy storage device at node k in scenario w The accumulated energy in period t; and are the energy storage devices at node k. The lower and upper limits of stored energy; and are the indexes / sets of weekly regulation and daily regulation energy storage devices at node k respectively; t WN and Ω WN Respectively represent the time index / set with a weekly adjustment period; t DN and Ω DN Respectively represent time index / set with day as adjustment period; and They are the energy storage devices at node k with weekly and daily regulation cycles. and The initial accumulated energy; and They are the energy storage devices with weekly and daily adjustment cycles at node k in scenario w. and Energy is stored at the end of the regulation cycle.

[0075] (6) New energy storage equipment constraints

[0076]

[0077] Where: and They are the newly added energy storage device s at node k in scenario w. k A Boolean variable representing the charging and discharging status during the period t; and They are the newly added energy storage device s at node k. k Minimum charging and discharging power; and are the newly added energy storage devices s at node k. k Maximum charge and discharge power; and They are the newly added energy storage device s at node k. k The charging and discharging efficiency; is the newly added energy storage device s at node k in scenario w k The accumulated energy in period t; and are the newly added energy storage devices s at node k. kThe lower and upper limits of stored energy; and are the indexes / sets of the newly added energy storage devices for weekly regulation and daily regulation at node k, respectively; and They are the newly added energy storage devices at node k with weekly and daily adjustment cycles. and The initial accumulated energy; and They are the newly added energy storage devices at node k in scenario w with weekly and daily adjustment cycles. and Energy is stored at the end of the regulation cycle.

[0078] The system power balance constraint is:

[0079]

[0080] Where: is the load demand of node k in period t under scenario w.

[0081] The network transmission constraints are:

[0082]

[0083] Where: n / Ω Line is the index / set of existing and newly added transmission lines in the system; κ k,n is the power distribution transfer factor of transmission line n relative to the net injected power at node k; is the maximum transmission power of transmission line n.

[0084] The constraints of the source-grid-load-storage evaluation index are:

[0085]

[0086] Where: ζ average-min and average-max They are the average power supply power, lower threshold and upper threshold of renewable energy under scenario w respectively; ζ Δmin and Δmax They are the volatility, lower threshold and upper threshold of new energy under scenario w; D w , Dmin and Dmax They are the proportion of new energy installed capacity, lower threshold, and upper threshold under scenario w; and They are the probability of power flow exceeding the limit, the lower threshold, and the upper threshold of line n under scenario w; and They are the expected over-limit, lower threshold, and upper threshold of the power flow of line n under scenario w; and They are the annual cumulative power outage duration, lower threshold, and upper threshold of the node k user in scenario w; and They are the cumulative number of failures of node k users in scenario w, the lower threshold, and the upper threshold; and They are the expected cumulative power shortage, lower threshold and upper threshold of the user at node k in scenario w.

[0087] The user reliability perception level constraint is:

[0088]

[0089] Where: x w,k is the reliability perception level indicator of the user at node k in scenario w; and are the lower and upper thresholds of the reliability perception level indicator of user at node k respectively.

[0090] In an optional embodiment, the differentiated reliability requirements of users in the new power system reliability cost assessment model can be measured by their reliability perception levels. Based on this, a new power system reliability cost assessment model considering differentiated reliability requirements of users is established, including:

[0091] Calculate the reliability perception level based on the user's load loss;

[0092] Based on the reliability perception level, a new power system reliability cost assessment model is established.

[0093] Among them, load loss includes direct economic value, user experience value and social benefit value.

[0094] In an optional embodiment, the operation decision variables include the user demand side response amount;

[0095] The new power system reliability cost assessment model is used to calculate the system reliability cost without considering the demand side response, including:

[0096] When the user demand side response is zero, the new power system reliability cost assessment model is used to calculate the system reliability cost without considering the demand side response.

[0097] In an optional embodiment, the load demand response participation amount-reliability cost relationship curve generated in step 103 should have a convex downward feature as a whole, such as Figure 2As shown. Among them, the demand response participation amount is represented by Q, the system reliability cost is represented by C, the user's estimated demand response participation amount interval can be expressed as [Q1, Q2], and C1 and C2 are the system reliability costs when the user's estimated demand response participation amount is Q1 and Q2 respectively.

[0098] In an optional embodiment, the calculation formula for the demand-side response incentive fee is:

[0099]

[0100] Where F represents the demand-side response incentive fee; C sne represents the system reliability cost without considering the demand side response; Q1 and Q2 represent the upper and lower limits of the estimated demand side response participation, respectively; f(·) represents the function used to calculate the system reliability cost when considering the demand side response, which is obtained by fitting the system reliability cost under different demand side response participation amounts calculated by the new reliability cost assessment model.

[0101] Based on the same principle as the method provided in the embodiment of the present application, the embodiment of the present application also provides a new power system demand side response control device, such as Figure 3 As shown, the device comprises:

[0102] The model building module 301 is used to establish a new power system reliability cost evaluation model that takes into account the differentiated reliability requirements of users; the new power system reliability cost evaluation model uses the reliability cost calculation parameters of the new power system under the "source-grid-load-storage multi-coordination" dispatching mode as input;

[0103] A reliability cost calculation module 302 is used to calculate the system reliability cost without considering the demand side response by using a new power system reliability cost assessment model;

[0104] The reliability cost calculation module 302 is also used to calculate the system reliability cost of the power load under different demand response participation amounts using the new power system reliability cost assessment model, and generate a demand response participation amount-reliability cost relationship curve of the load;

[0105] The demand-side response incentive module 303 is used to calculate the average reliability cost within the user's estimated demand response participation range based on the demand response participation amount-reliability cost relationship curve of the load;

[0106] The demand side response incentive module 303 is also used to calculate the demand side response incentive fee based on the system reliability cost when the demand side response is not considered and the average value of the reliability cost within the user's estimated demand response participation range.

[0107] In the embodiment of the present application, a new power system reliability cost evaluation model considering the differentiated reliability needs of users is established, which fully considers the differences in the power supply reliability needs of power users and the operating characteristics of the new power system, and can effectively encourage users to participate in demand-side response. The new power system reliability cost evaluation model takes the reliability cost calculation parameters of the new power system under the "source-grid-load-storage multi-coordination" dispatching mode as input, adapts to the "source-grid-load-storage multi-coordination" dispatching mode of the new power system, fully considers the scheme of maintaining power supply reliability of the new power system, can adapt to the new operating characteristics of the new power system, and clearly reflects the specific costs paid by each link of the new power system to ensure the reliability of electricity use. The new power system reliability cost evaluation model is used to calculate the system reliability cost when the demand side response is not considered; the new power system reliability cost evaluation model is used to calculate the system reliability cost of the power load under different demand response participation amounts, and generate the demand response participation amount-reliability cost relationship curve of the load; based on the demand response participation amount-reliability cost relationship curve of the load, the average value of the reliability cost in the user's estimated demand response participation amount interval is calculated; according to the system reliability cost when the demand side response is not considered and the average value of the reliability cost in the user's estimated demand response participation amount interval, the demand side response incentive fee is calculated. The problem of the difficulty in accurately evaluating the amount of demand response is fully considered. By providing a clear relationship between the amount of demand-side response participation and the reduction of system costs, it can effectively solve the problem that the differentiated reliability needs of users are difficult to quantify and evaluate, and the benefits and costs of demand response are difficult to measure. In the context of global energy green transformation, this method can provide new ideas and methods for differentiated control of demand-side response, optimization of resource allocation, and coordination of reliability and economy of power supply in new power systems.

[0108] The method in the embodiment of the present application can provide the dispatching and operation departments and the policy-making departments with a clear quantity-price relationship between the reliability of the new power system and the user's participation in demand-side response, and can provide quantitative support for the formulation of relevant power load control plans.

[0109] The novel power system demand side response control device provided in the embodiment of the present application can achieve Figure 1 and Figure 2 To avoid repetition, the various processes implemented in the method embodiment are not described here.

[0110] The new power system demand side response control device of the embodiment of the present application can execute the new power system demand side response control method provided in the embodiment of the present application, and its implementation principle is similar. The actions performed by each module and unit in the new power system demand side response control device in each embodiment of the present application correspond to the steps in the new power system demand side response control method in each embodiment of the present application. For the detailed functional description of each module of the new power system demand side response control device, please refer to the description in the corresponding new power system demand side response control method shown in the previous text, which will not be repeated here.

[0111] Based on the same principle as the method shown in the embodiment of the present application, the embodiment of the present application also provides an electronic device, which may include but is not limited to: a processor and a memory; a memory for storing a computer program; a processor for executing the new power system demand side response control method shown in any optional embodiment of the present application by calling a computer program. Compared with the prior art, the new power system demand side response control method provided by the present application fully considers the differences in power users' demand for power supply reliability and the operating characteristics of the new power system, and can effectively motivate users to participate in demand side response. It fully considers the scheme for maintaining power supply reliability of the new power system, can adapt to the new operating characteristics of the new power system, and clearly reflects the specific costs paid by each link of the new power system to ensure power reliability. And the problem that the demand response amount is difficult to accurately evaluate is fully considered. By providing a clear relationship between the demand side response participation amount and the reduction of system costs, it can effectively solve the problem that the differentiated reliability requirements of users are difficult to quantify and evaluate, and the benefits and costs generated by demand response are difficult to calculate.

[0112] In an optional embodiment, an electronic device is also provided, such as Figure 4 As shown, Figure 4 The electronic device 400 shown may be a server, including: a processor 401 and a memory 403. The processor 401 and the memory 403 are connected, such as through a bus 402. Optionally, the electronic device 400 may further include a transceiver 404. It should be noted that in actual applications, the transceiver 404 is not limited to one, and the structure of the electronic device 400 does not constitute a limitation on the embodiments of the present application.

[0113] Processor 401 may be a CPU (Central Processing Unit), a general purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 401 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0114] The bus 402 may include a path to transmit information between the above components. The bus 402 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 402 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0115] The memory 403 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0116] The memory 403 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 401. The processor 401 is used to execute the application code stored in the memory 403 to implement the contents shown in the above method embodiment.

[0117] Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 4 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0118] The server provided in this application can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, tablet computer, laptop computer, desktop computer, smart speaker, smart watch, etc., but is not limited to this. The terminal and the server can be directly or indirectly connected by wired or wireless communication, and this application does not limit this.

[0119] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0120] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0121] It should be noted that the computer-readable storage medium mentioned above in the present application can also be a computer-readable signal medium or a combination of a computer-readable storage medium and a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, 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), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0122] The computer-readable medium may be included in the electronic device, or may exist independently without being installed in the electronic device.

[0123] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device executes the method shown in the above embodiment.

[0124] According to one aspect of the present application, a computer program product or computer program is provided, the computer program product or computer program including computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the novel power system demand side response control method and apparatus provided in the above-mentioned various optional implementations.

[0125] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0126] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0127] The modules involved in the embodiments of the present application may be implemented by software or hardware. The name of the module does not limit the module itself in some cases. For example, the model building module may also be described as "a model building module for establishing a new power system reliability cost assessment model that takes into account the differentiated reliability requirements of users".

[0128] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. A new power system demand side response control method, characterized in that: The method comprises: Establish a new power system reliability cost assessment model that takes into account the differentiated reliability needs of users; the new power system reliability cost assessment model uses the reliability cost calculation parameters of the new power system under the "source-grid-load-storage multi-coordination" dispatching mode as input; The novel power system reliability cost assessment model is used to calculate the system reliability cost without considering the demand side response; The novel power system reliability cost assessment model is used to calculate the system reliability cost of the power load under different demand response participation amounts, and generate a demand response participation amount-reliability cost relationship curve of the load; Based on the demand response participation amount-reliability cost relationship curve of the load, calculate the average reliability cost within the user's estimated demand response participation amount range; The demand-side response incentive fee is calculated based on the system reliability cost when demand-side response is not considered and the average reliability cost within the user's estimated demand response participation range.

2. The new power system demand side response management and control method according to claim 1 is characterized in that: The objective function of the novel power system reliability cost assessment model is to minimize the total system cost, and the total system cost includes the system reliability cost and the system operation cost.

3. The new power system demand side response management and control method according to claim 2 is characterized in that: The constraints of the new power system reliability cost assessment model include various types of resource scheduling constraints, system power balance constraints, network transmission constraints, source-grid-load-storage evaluation index constraints and user reliability perception level constraints.

4. The new power system demand side response management and control method according to claim 3 is characterized in that: The mathematical expression of the new power system reliability cost assessment model is: minC=C Rel +C Ope s.t.C Rel =g(x C ),C Ope =h(x E ) F(x C )≤0,G(x E )≤0,H(x C ,x E )≤0 In the formula, C represents the total cost; C Rel represents the system reliability cost; C Ope represents the total operating cost of the system; x C represents the investment decision variable; x E represents the operation decision variable; g(·) represents the functional relationship between the investment decision variable and the reliability cost; h(·) represents the functional relationship between the operation decision variable and the operation cost; F(·), G(·), H(·) represent inequality constraints, including various types of resource scheduling constraints, system power balance constraints, network transmission constraints, source-grid-load-storage evaluation index constraints and user reliability perception level constraints.

5. The new power system demand side response management and control method according to claim 3 is characterized in that: The operation decision variables include the user demand side response amount; The method of using the novel power system reliability cost assessment model to calculate the system reliability cost without considering the demand side response includes: When the user demand side response amount is zero, the new power system reliability cost assessment model is used to calculate the system reliability cost without considering the demand side response.

6. The new power system demand side response management and control method according to claim 1 is characterized in that: The calculation formula for the demand-side response incentive fee is: Where, F represents the demand-side response incentive fee; C sne represents the system reliability cost without considering the demand-side response; Q1 and Q2 represent the upper and lower limits of the estimated demand response participation, respectively; f(·) represents a function used to calculate the system reliability cost when considering demand-side response, which is obtained by fitting the system reliability cost under different demand-side response participation amounts calculated by the novel reliability cost evaluation model.

7. The new power system demand side response management and control method according to claim 1 is characterized in that: A new power system reliability cost assessment model is established that takes into account the differentiated reliability needs of users, including: Calculate the reliability perception level based on the user's load loss; Based on the reliability perception level, a reliability cost assessment model for the new power system is established. Among them, the load loss includes direct economic value, user experience value and social benefit value.

8. A new type of power system demand side response control device, characterized in that: The device comprises: A model building module is used to establish a new power system reliability cost evaluation model that takes into account the differentiated reliability needs of users; the new power system reliability cost evaluation model uses the reliability cost calculation parameters of the new power system under the "source-grid-load-storage multi-coordination" dispatching mode as input; A reliability cost calculation module, used to calculate the system reliability cost without considering the demand side response by using the novel power system reliability cost assessment model; The reliability cost calculation module is also used to calculate the system reliability cost of the power load under different demand response participation amounts using the new power system reliability cost assessment model, and generate a demand response participation amount-reliability cost relationship curve of the load; A demand-side response incentive module, used to calculate the average reliability cost within the user's estimated demand response participation range based on the demand response participation amount-reliability cost relationship curve of the load; The demand-side response incentive module is also used to calculate the demand-side response incentive fee based on the system reliability cost when the demand-side response is not considered and the average value of the reliability cost within the user's estimated demand response participation range.

9. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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