CN-122022245-A - Comprehensive energy multi-time scale optimization method and system for sewage treatment plant

CN122022245ACN 122022245 ACN122022245 ACN 122022245ACN-122022245-A

Abstract

The invention relates to the technical field of comprehensive energy optimization, and provides a comprehensive energy multi-time scale optimization method and system for a sewage treatment plant. The method comprises the steps of calling energy storage and release strategies of three matched subsystems of heat, cold and electricity under different conditions of the sewage source heat pump and different conditions of the sewage source heat pump, carrying out boundary optimization on the installed capacities of the three subsystems of heat, cold and electricity by taking the total cost of the minimum life cycle and the minimum carbon emission as double optimization targets, constructing a double-target planning optimization model of urban sewage comprehensive energy by combining a plurality of constraint conditions, solving and obtaining the optimal equipment capacity configuration and operation scheduling strategy by combining the related parameters of the three subsystems of heat, cold and electricity based on the double-target planning optimization model of urban sewage comprehensive energy. The sewage energy and other energy can be reasonably planned to be cooperatively utilized, and an optimal scheduling strategy adapting to different time scales and demand scenes can be formulated.

Inventors

HUANG HUIQUN
SHAN WENHAO
Ge Sujin
WU QING
WANG ZENGCHAO
LIU HUIJIE
LUO DINGHUA
ZHANG CHENGYI
GE QUN
CAO XIAOMAN
XU GUANGQIANG
YANG XIAOHUA
GUO FUMIN
LI HUI
LIU WEI

Assignees

山东电力工程咨询院有限公司

Dates

Publication Date: 20260512
Application Date: 20251219

Claims (10)

1. The comprehensive energy multi-time scale optimization method for the sewage treatment plant is characterized by comprising the following steps of: in two situations of summer, autumn, spring and winter, the working condition of the sewage source heat pump comprises a cold working condition and a hot working condition; The energy storage and release strategies of the three heat, cold and electric subsystems are prepared in advance by taking the changes of day and night and electricity price valley and peak into consideration and combining the fluctuation of stabilizing renewable energy power generation and peak clipping and valley filling of energy storage equipment; taking the total cost of the minimum life cycle and the minimum carbon emission as double optimization targets, carrying out boundary optimization on the installed capacity of the heat subsystem, the cold subsystem and the electric subsystem, and constructing a double-target planning optimization model of urban sewage comprehensive energy by combining a plurality of constraint conditions; Based on the urban sewage comprehensive energy double-target planning optimization model, the optimal equipment capacity configuration and operation scheduling strategy are obtained by combining the related parameters of the heat subsystem, the cold subsystem and the electric subsystem.
2. The comprehensive energy multi-time scale optimization method of the sewage treatment plant according to claim 1, wherein in the summer and autumn situations, the energy storage and release strategies of the three subsystems of heat, cold and electricity are as follows: starting from the heat load demand, the heat storage equipment is charged and discharged according to whether the heat storage equipment is in the daytime and the valley time; When wind power generation and photovoltaic power generation cannot meet the heat load, starting a methane cogeneration unit, adopting a 'fixed-heat electricity' operation mode, and when the unit still cannot meet the heat load, starting an electric boiler to compensate a heat gap; then judging whether the sewage source heat pump can meet the cold requirement, and if the sewage source heat pump can not meet the cold requirement, starting the electric refrigeration equipment to supplement the cooling capacity; And finally, judging whether an electric gap exists or not by comparing the total electric quantity required by the system with the sum of the power supply quantities of the methane cogeneration unit, the wind power generation unit and the photovoltaic power generation unit, executing the charge-discharge strategy of the energy storage battery according to the gap condition, and simultaneously performing real-time interaction with a power grid to serve as a supplementary power supply.
3. The comprehensive energy multi-time scale optimization method of the sewage treatment plant according to claim 1, wherein in spring and winter situations, energy storage and energy release strategies of three subsystems of heat, cold and electricity are as follows: The heat storage equipment is charged and discharged according to the time of day and the time of valley, and when wind power generation and photovoltaic power generation cannot meet the heat load, a methane cogeneration unit is started, and a mode of 'electricity fixation by heat' is still adopted; When the heat load cannot be met, judging whether the sewage source heat pump can make up the heat gap, and if the sewage source heat pump cannot make up the heat gap, starting an electric boiler; the electric refrigeration apparatus is then used to meet the cold demand; And finally, judging the electric gap and executing the charge-discharge strategy of the energy storage battery by comparing the sum of the total electric quantity required by the system and the power supply quantity of each generator set, and simultaneously carrying out real-time interaction with the power grid.
4. The integrated energy multi-time scale optimization method of a sewage treatment plant according to claim 1, wherein the constraint conditions include the actual installed capacity of the sewage utilization device and the power balance of each subsystem of heat, cold and electricity, and the constraint of ensuring the heat exchange temperature and distance of sewage running in a normal operating range.
5. The integrated energy multi-time scale optimization method of a sewage treatment plant according to claim 1, wherein the dual optimization targets are respectively: In the formula, For the total cost of the system lifecycle, Initial purchase costs for all energy devices, For the construction cost of the biogas transmission pipeline, For the construction and transformation cost of the power distribution network, For system operation and maintenance costs throughout the life cycle, The total cost of the outsourcing power grid; In order to achieve a total carbon emission, Is the carbon emission factor of methane combustion, The total biogas amount consumed by the biogas cogeneration, The indirect carbon emission factor generated by the purchase of electricity from the power grid, The total electricity quantity is purchased for the power grid; the time was calculated for carbon emissions.
6. The comprehensive energy multi-time scale optimization method of a sewage treatment plant according to claim 1, wherein in the process of solving the urban sewage comprehensive energy double-objective planning optimization model, the global searching capability of the simulated annealing algorithm is embedded into the iterative process of the particle swarm optimization algorithm, wherein in each iteration of the particle swarm optimization algorithm, after the global optimal particles are updated, an acceptance probability based on a Metropolis criterion is introduced, and the particle swarm optimization algorithm is allowed to accept a worse solution as new global optimal under the set probability.
7. The integrated energy multi-time scale optimization method of a sewage treatment plant according to claim 6, wherein in the process of solving the urban sewage integrated energy double-objective planning optimization model, an initial temperature setting and temperature reducing mechanism related to the particle swarm state is designed for simulating the temperature reducing process: In the formula, To adapt the function value according to the current population optimal solution, For dynamically calculated group optimal solutions Is a fitness function of (a); is the first The optimal solution particle temperature calculated in the next iteration; is the first The optimal solution particle temperature calculated in the next iteration; is an annealing speed constant.
8. A comprehensive energy multi-time scale optimization system of a sewage treatment plant, characterized in that the comprehensive energy multi-time scale optimization method based on the sewage treatment plant according to any one of claims 1-7 comprises: The working condition dividing module is used for dividing the working conditions of the sewage source heat pump into a cold working condition and a hot working condition in two situations of summer, autumn, spring and winter; The strategy matching module is used for calling energy storage and release strategies of the three matched heat, cold and electric subsystems under different conditions and different working conditions of the sewage source heat pump, wherein the energy storage and release strategies of the three heat, cold and electric subsystems are formulated in advance by considering day and night and change of electricity price valley and peak as well as stabilizing fluctuation of renewable energy power generation and peak clipping and valley filling performance of the energy storage equipment; the model construction module is used for carrying out boundary optimization on the installed capacity of the heat subsystem, the cold subsystem and the electricity subsystem by taking the minimum total life cycle cost and the minimum carbon emission as double optimization targets, and constructing a urban sewage comprehensive energy double-target planning optimization model by combining a plurality of constraint conditions; The target optimization module is used for solving and obtaining the optimal equipment capacity configuration and operation scheduling strategy based on the urban sewage comprehensive energy double-target planning optimization model and by combining the related parameters of the heat subsystem, the cold subsystem and the electric subsystem.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the integrated energy multi-time scale optimization method of a sewage treatment plant according to any one of claims 1-7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the integrated energy multi-time scale optimization method of a sewage treatment plant according to any one of claims 1-7 when the program is executed by the processor.

Description

Comprehensive energy multi-time scale optimization method and system for sewage treatment plant Technical Field The invention relates to the technical field of comprehensive energy optimization, in particular to a comprehensive energy multi-time scale optimization method and system for a sewage treatment plant. Background The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. At present, most of optimization research on comprehensive energy systems focuses on demand-side applications such as low-carbon industrial parks, and the interaction of 'net-load-storage' is focused. However, in the source end of the energy system, particularly in terms of recycling and self-sufficiency of renewable energy, for example, how to effectively realize complementary coordination of various source end energy sources through intelligent regulation and control, optimization algorithm and information technology, achieve peak clipping and valley filling, and finally realize the operation goal of 'source-network coordination', which is an obvious short plate existing in the prior art. The urban sewage is a clean energy carrier with huge potential because of accumulating considerable cold energy and heat energy. Although the sewage source heat pump unit and the biogas-based cogeneration unit are utilized to recycle the energy, the sewage source heat pump unit and the biogas-based cogeneration unit have the problems that the energy contained in the sewage has obvious seasonal and fluctuation characteristics, so that the energy and other energy sources (such as wind energy and solar energy) on the supply side are cooperatively planned and coupled complementarily, the optimal state is difficult to realize, and the overall resource utilization efficiency of the comprehensive energy system is limited. Disclosure of Invention In order to solve the technical problems, the invention provides a comprehensive energy multi-time scale optimization method and system for a sewage treatment plant, which can reasonably plan the cooperative utilization of sewage energy and other energy, and can formulate an optimal scheduling strategy suitable for different time scales and demand scenes. In order to achieve the above purpose, the present invention adopts the following technical scheme: The first aspect of the invention provides a comprehensive energy multi-time scale optimization method of a sewage treatment plant. In one or more embodiments, there is provided a comprehensive energy multi-time scale optimization method for a sewage treatment plant, including: in two situations of summer, autumn, spring and winter, the working condition of the sewage source heat pump comprises a cold working condition and a hot working condition; The energy storage and release strategies of the three heat, cold and electric subsystems are prepared in advance by taking the changes of day and night and electricity price valley and peak into consideration and combining the fluctuation of stabilizing renewable energy power generation and peak clipping and valley filling of energy storage equipment; taking the total cost of the minimum life cycle and the minimum carbon emission as double optimization targets, carrying out boundary optimization on the installed capacity of the heat subsystem, the cold subsystem and the electric subsystem, and constructing a double-target planning optimization model of urban sewage comprehensive energy by combining a plurality of constraint conditions; Based on the urban sewage comprehensive energy double-target planning optimization model, the optimal equipment capacity configuration and operation scheduling strategy are obtained by combining the related parameters of the heat subsystem, the cold subsystem and the electric subsystem. As an implementation mode, in the summer and autumn situations, the energy storage and release strategies of the hot subsystem, the cold subsystem and the electric subsystem are as follows: starting from the heat load demand, the heat storage equipment is charged and discharged according to whether the heat storage equipment is in the daytime and the valley time; When wind power generation and photovoltaic power generation cannot meet the heat load, starting a methane cogeneration unit, adopting a 'fixed-heat electricity' operation mode, and when the unit still cannot meet the heat load, starting an electric boiler to compensate a heat gap; then judging whether the sewage source heat pump can meet the cold requirement, and if the sewage source heat pump can not meet the cold requirement, starting the electric refrigeration equipment to supplement the cooling capacity; And finally, judging whether an electric gap exists or not by comparing the total electric quantity required by the system with the sum of the power supply quantities of the methane cogeneration unit, the wind power generation unit and the photovoltaic