CN-121993837-A - Industrial park heat supply model based on new energy green electric power direct connection and scale configuration method

CN121993837ACN 121993837 ACN121993837 ACN 121993837ACN-121993837-A

Abstract

The invention relates to the technical field of new energy heat supply, and provides an industrial park heat supply system based on new energy green electric power direct connection and a scale configuration method. Through including new forms of energy power generation module, electric heat conversion module and heat energy storage module, realize conversion and the storage of new forms of energy to support high-efficient, economical clean heat supply, have can realize the direct-connected heat supply of the green electric power of new forms of energy, improve energy utilization efficiency, and provide the advantage of basic frame for scale configuration.

Inventors

WANG KUNFANG
CHEN JUNJIE
LIU SHIYU
SU XINYI
RAO JIANYE
MA QIANLI

Assignees

电力规划总院有限公司

Dates

Publication Date: 20260508
Application Date: 20260203

Claims (10)

1. The industrial park heating system based on the new energy green electric power direct connection is characterized by at least comprising a new energy power generation module, an electric heat conversion module and a heat energy storage module, wherein: the new energy power generation module is used for converting new energy into electric energy and accessing the electric energy into a user side power grid; The electric heating conversion module is connected with the new energy power generation module and is used for converting electric energy into heat energy so as to meet the heat load requirement; The heat energy storage module is connected with the electrothermal conversion module and the thermal load side and is used for storing or releasing heat energy.
2. A method for scale configuration of a heating system for an industrial park as claimed in claim 1, wherein the method comprises: acquiring meteorological data, heat load demand data and price mechanism parameters, wherein the price mechanism parameters at least comprise power transmission and distribution fees and system operation fees; Setting initial capacity parameters of the new energy power generation module, the electrothermal conversion module and the thermal energy storage module; Executing a time sequence simulation based on the initial capacity parameter, the meteorological data, the thermal load demand data and the price mechanism parameter, and executing a scheduling strategy in the time sequence simulation process, wherein the scheduling strategy comprises the steps of preferentially scheduling the electric energy of the new energy power generation module to the electrothermal conversion module to meet the thermal load demand; and obtaining economic benefit indexes according to the time sequence simulation, and iteratively adjusting capacity parameters of the electrothermal conversion module and the thermal energy storage module according to the economic benefit indexes until the economic benefit indexes meet preset convergence conditions.
3. The method of scale configuration according to claim 2, wherein said calculating and comparing the instant on-line profit value of the remaining electrical energy with the expected future replacement value stored in the thermal energy storage module comprises: acquiring the current online electricity price, and calculating the product of the residual electric energy and the online electricity price to obtain the instant online income value; Predicting electricity price trend in a future preset period based on the meteorological data and the heat load demand data, and determining the replacement electricity price when the heat energy storage module releases heat energy in the future to replace electric heating operation; and calculating the product of the residual electric energy, the electric heat conversion efficiency of the electric heat conversion module and the replacement electricity price to obtain the expected future replacement value.
4. A scale configuration method according to claim 3, wherein determining the flow direction of the remaining power according to the comparison result comprises: When the instant internet surfing income value is larger than the expected future replacement value, generating an internet surfing instruction to control the residual electric energy to be transmitted to a public power grid through a user side power grid; when the instant internet surfing gain value is smaller than or equal to the expected future replacement value, acquiring the current heat storage state of the heat energy storage module; And if the current heat storage state reaches the preset heat storage upper limit, generating a surfing instruction to control the residual electric energy to be transmitted to a public power grid through a user side power grid.
5. The method according to claim 2, wherein iteratively adjusting capacity parameters of the electrothermal conversion module and the thermal energy storage module according to the economic benefit index until the economic benefit index satisfies a preset convergence condition comprises: Calculating the absolute value of the difference between the economic benefit index obtained by the current iteration round and the economic benefit index obtained by the previous iteration round; Judging whether the absolute value of the difference is smaller than a preset convergence threshold value, if the absolute value of the difference is larger than or equal to the convergence threshold value, adjusting capacity parameters of the electrothermal conversion module and the thermal energy storage module according to the change gradient of the economic benefit index, entering a next time series simulation, and if the absolute value of the difference is smaller than the convergence threshold value, judging that the preset convergence condition is met, and outputting the current capacity parameters as an optimal configuration scheme.
6. The method of scale configuration according to claim 2, wherein the economic benefit index is a net gain of the system, and wherein the step of deriving the economic benefit index from the time series simulation comprises: Calculating electricity selling benefits, heat supply benefits and country/local subsidiaries in each time step of the time sequence simulation, and accumulating to obtain annual operation net benefits; calculating initial investment costs of the new energy power generation module, the electric heat conversion module and the thermal energy storage module according to the initial capacity parameters and preset unit capacity manufacturing cost; Subtracting the initial investment cost, the preset annual operation and maintenance cost, the public network electricity purchasing cost, the stable supply guarantee cost, the operation and maintenance cost and the loan interest of the grid-connected green electricity direct connection to be paid from the annual operation net benefit to obtain the system net benefit.
7. The method according to claim 6, wherein before executing the scheduling policy in the time series simulation process, the method further comprises an active identification and compensation step of an implicit heating gap, the active identification and compensation step of the implicit heating gap includes: Acquiring power deviation between actual output power of the electrothermal conversion module and an instruction value and temperature deviation between actual temperature and set temperature of key process points at the thermal load side; Quantitatively obtaining a hidden heat supply gap electric quantity based on the power deviation and the temperature deviation, assigning a hidden gap value to the hidden heat supply gap electric quantity, wherein the hidden gap value is set to be a virtual price higher than the instant internet surfing gain value and the expected future substitution value; the step of preferentially scheduling the electric energy of the new energy power generation module to the electrothermal conversion module to meet the thermal load demand specifically comprises the following steps: And based on the implicit gap value, preferentially distributing the electric energy of the new energy power generation module to the electric heat conversion module to meet the implicit heat supply gap electric quantity, and after the implicit heat supply gap electric quantity is met, dispatching the electric energy available for subsequent dispatching to meet the conventional heat load requirement.
8. The method of claim 7, wherein obtaining a power deviation between the actual output power of the electrothermal transducer module and the command value comprises: Measuring the actual output power in real time by a high-precision sensor arranged at the output end of the electrothermal conversion module; When the accumulated difference reaches a preset threshold value, a self-calibration flow is started to generate a power correction quantity, and the power correction quantity is fed back to a control logic to adjust a subsequent instruction value, so that the power deviation is eliminated.
9. The method for configuring a scale according to claim 8, wherein obtaining the temperature deviation between the actual temperature and the set temperature of the key process point on the heat load side, and quantitatively obtaining the recessive heat supply gap power comprises: receiving real-time temperature feedback from the key process points, and carrying out cross verification by combining flow and temperature data of a heating power pipe network; The actual temperature feedback of the key process point is taken as a reference, and a real heat load gap generated by inaccurate heat load demand prediction data is identified; And integrating the real thermal load gap with the gap caused by the power deviation, and calculating the electric quantity required by compensating the integrated gap to obtain the electric quantity of the recessive heat supply gap.
10. A scale configuration apparatus for use in an industrial park heating system as claimed in claim 1, wherein the apparatus comprises: The system comprises an acquisition module, a price mechanism parameter acquisition module and a price management module, wherein the acquisition module is used for acquiring meteorological data, heat load demand data and price mechanism parameters, and the price mechanism parameters at least comprise power transmission and distribution fees and system operation fees; the setting module is used for setting initial capacity parameters of the new energy power generation module, the electrothermal conversion module and the thermal energy storage module; The scheduling module is used for executing time sequence simulation based on the initial capacity parameter, the meteorological data, the thermal load demand data and the price mechanism parameter, and executing a scheduling strategy in the process of the time sequence simulation, wherein the scheduling strategy comprises the steps of preferentially scheduling the electric energy of the new energy power generation module to the electrothermal conversion module to meet the thermal load demand; And the adjustment module is used for obtaining economic benefit indexes according to the time sequence simulation, and iteratively adjusting capacity parameters of the electric heating conversion module and the thermal energy storage module according to the economic benefit indexes until the economic benefit indexes meet preset convergence conditions.

Description

Industrial park heat supply model based on new energy green electric power direct connection and scale configuration method Technical Field The application relates to the technical field of new energy heat supply, in particular to an industrial park heat supply system based on new energy green electric power direct connection, a scale configuration method and scale configuration equipment. Background In the context of energy structure conversion, the demand for clean heat supply from industrial parks continues to grow, but prior art systems suffer from significant drawbacks. At present, a new energy heating system simulation model specially oriented to a green electricity direct connection mode is lacking, so that simulation deduction and scheme evaluation of the type of items are restricted. The green electricity direct connection mainly refers to that a new energy power generation system (such as wind power and photovoltaic) supplies power to loads in a park in a direct electrical connection mode, local nearby consumption is achieved, and the operation mode of a residual electricity networking strategy is determined according to electric power market rules of different areas. The conventional general energy simulation software is not deeply integrated with the cooperative operation mechanism of key units such as wind power, photovoltaic, electric heating systems, heat storage modules and the like in the green direct connection mode, so that the dynamic matching process of the source load is difficult to truly reflect. When determining the capacities of the new energy power generation module, the electric heating conversion module and the heat storage module, the traditional method depends on physical constraints such as land resources, new energy output fluctuation, equipment utilization rate, load peaks and the like, and cannot bring an electric power market mechanism into an optimization framework. Especially in the green electricity direct connection project, key price parameters such as power transmission and distribution cost, system operation cost and the like are not fully considered, so that a system operation target taking clean heat supply as a main part and the balance of electric energy grid connection as an auxiliary part cannot be accurately realized. In addition, the hidden heat supply gap formed by coupling the electric heating conversion power deviation and the heat load temperature fluctuation is not enough to be identified by the existing method, so that the scheduling strategy is difficult to accurately respond to the actual heat demand. The defects cause that the system scale configuration often deviates from the optimal economic benefit, which is not beneficial to the improvement of the in-situ consumption level of new energy and also hinders the practical engineering application of the wind, light and heat storage integrated system. It should be noted that the green direct connection grid-connected project should follow the principle of scientific determination of the type of new energy power source and the installed scale. In the spot market continuous operation area, the project is preferably in a mode of mainly integrally spontaneous and self-used and auxiliary power supply and the project is not allowed to reversely supply power to the public power grid in the spot market discontinuous operation area. The annual spontaneous self-consumption of new energy of the whole project is not lower than 60% of the total available power generation and not lower than 30% of the total power consumption of the park, and the spontaneous self-consumption proportion is required to be gradually improved, so that not lower than 35% before 2030 is ensured. The upper limit of the proportion of the Internet surfing electric quantity to the total available electric energy generation amount is generally not more than 20%, and the Internet surfing electric quantity is specifically determined by the combination of each provincial energy management department and the actual use. The prior art system is not yet effectively integrated with the operation requirement and the proportion constraint, and is difficult to support the green direct-connection project planning and design which accords with the policy guidance. In view of the above, there is a need in the art for improvements. Disclosure of Invention The application aims to provide an industrial park heating system, a scale configuration method and scale configuration equipment based on new energy green electric power direct connection, which can realize direct connection heating of the new energy green electric power, improve energy utilization efficiency and provide a basic frame for scale configuration. In a first aspect, the application provides an industrial park heating system based on new energy green electric power direct connection, which at least comprises a new energy power generation module, an electric heat conversion module and a heat ene