CN-122000943-A - Operation method and system for light-wind-storage-hydrogen energy system of hybrid optimization mining area

CN122000943ACN 122000943 ACN122000943 ACN 122000943ACN-122000943-A

Abstract

The invention relates to the technical field of comprehensive energy systems, and provides a method and a system for operating a light-wind-storage-hydrogen energy system of a mixed optimization mining area. The method comprises the steps of constructing a multi-objective operation optimization model with minimum operation cost, minimum carbon emission and maximum renewable energy source consumption rate based on operation data of a mining area light-wind-storage-hydrogen energy system, determining search spaces of decision variables corresponding to output and start-stop time sequences of all equipment in the mining area light-wind-storage-hydrogen energy system based on the multi-objective operation optimization model and a preset mining area operation rule knowledge base, obtaining a candidate scheme library of the output and the start-stop time sequences of all equipment by adopting a mixed multi-objective optimization algorithm integrating dynamic weight adjustment and rule guidance, and screening out an optimal scheme of the output and the start-stop time sequences of all equipment through weighted comprehensive satisfaction and interpretability scores. The method can realize the precise collaborative optimization of multiple targets such as economy, low carbon, reliability and the like.

Inventors

HUANG HUIQUN
LI HUI
LIU WEI
SONG ZHEN
ZHANG XIA
Ge Sujin
YUE CHUNYANG
MA QINGZHAO
Sun mingjia
WU QING
LIU DI
GE QUN
CAO XIAOMAN
XU GUANGQIANG
HUANG MENG
YANG XIAOHUA
GUO FUMIN
SHAN WENHAO
LIU GANG

Assignees

山东电力工程咨询院有限公司

Dates

Publication Date: 20260508
Application Date: 20251226

Claims (10)

1. A method of operating a hybrid optimized mining area light-wind-storage-hydrogen energy system, comprising: Constructing a multi-objective operation optimization model with minimum operation cost, minimum carbon emission and maximum renewable energy source absorption rate based on operation data of a mining area light-wind-storage-hydrogen energy system; Determining a search space of decision variables corresponding to the output and start-stop time sequences of all equipment in the mining area light-wind-storage-hydrogen energy system based on a multi-target operation optimization model and a preset mining area operation rule knowledge base; Adopting a mixed multi-objective optimization algorithm combining dynamic weight adjustment and rule guidance, identifying dynamic allocation objective weights in a search space of decision variables through mining area operation conditions, guiding population initialization and individual restoration based on a mining operation rule base, generating a Pareto optimal solution set, and obtaining candidate scheme bases of output and start-stop time sequences of all equipment; Calculating membership of each candidate scheme on each target according to each pre-constructed target membership function, calculating comprehensive satisfaction of each candidate scheme through linear weighted summation, calculating an interpretability score of the candidate scheme on the conformity of the mining area operation rule, and screening out an optimal scheme of the output and start-stop time sequence of each device through weighted comprehensive satisfaction and interpretability score.
2. The hybrid optimized mining area light-wind-storage-hydrogen energy system operation method according to claim 1, wherein target weight vectors matched with each mining area operation condition are preconfigured in a mining area operation rule knowledge base.
3. The method for operating a hybrid optimized mining area light-wind-storage-hydrogen energy system according to claim 2, wherein in the process of iterative optimization in the search space of the decision variables, the mining area operating conditions are identified in real time according to the load fluctuation rate predicted in the current period and the renewable energy output ratio, and the decision variable weight vector corresponding to the operating conditions is dynamically switched.
4. The method for operating the light-wind-storage-hydrogen energy system of the mixed optimization mining area according to claim 1, wherein in the initial stage of the operation of the mixed multi-objective optimization algorithm which is conducted by combining dynamic weight adjustment and rules, partial initial solutions are generated by using a mining area operation rule knowledge base to form an initial population together with random solutions, and in the evolutionary iteration, if new solution individuals generated by intersection and mutation violate strong constraint conditions in the mining area operation rule knowledge base, repairing operation is triggered and adjusted to be feasible solutions.
5. The hybrid optimized mining area light-wind-storage-hydrogen energy system operation method of claim 1, wherein the expression for calculating the interpretability score of the compliance of each candidate to the mining area operation rule is: Wherein, the Is an interpretability score; Running the total number of key rules in a rule base for the mining area; Is the first A bar rule; For the indication function, the compliance rule is 1, otherwise, the compliance rule is 0; the solution in the Pareto optimal solution set is a candidate solution of the output and start-stop time sequence of each device.
6. The method for operating a hybrid optimized mining area light-wind-storage-hydrogen energy system according to claim 1, wherein the weighted integrated satisfaction and interpretability scores are used as decision evaluation values, and the solution with the highest decision evaluation value is selected as the optimal solution of the output and start-stop time sequence of each device : Wherein, the Is a decision evaluation value; the method is a Pareto optimal solution set; the solution in the Pareto optimal solution set is a candidate solution of the output and start-stop time sequence of each device.
7. The hybrid-optimized mining area light-wind-storage-hydrogen energy system operation method of claim 1, wherein constraints in the multi-objective operation optimization model include: Strengthening constraint including mutual exclusion of charge and discharge of storage battery, charge state management suitable for impact load, and periodic energy conservation meeting safety redundancy Critical equipment constraint, which meets minimum start-stop time of climbing rate and mine safety production requirement, and The power grid interaction power is matched with the capacity of the mine transformer substation.
8. A mixed optimizing mining area light-wind-storage-hydrogen energy system operation device is characterized in that, a method of operating a light-wind-storage-hydrogen energy system based on a hybrid optimized mining area as claimed in any one of claims 1 to 7, comprising: The optimizing model construction module is used for constructing a multi-objective operation optimizing model with minimum operation cost, minimum carbon emission and maximum renewable energy source self-absorption rate based on the operation data of the mining area light-wind-storage-hydrogen energy system; the search space determining module is used for determining the search space of decision variables corresponding to the output and start-stop time sequences of all equipment in the mining area light-wind-storage-hydrogen energy system based on the multi-target operation optimization model and a preset mining area operation rule knowledge base; The candidate scheme library generation module is used for adopting a mixed multi-objective optimization algorithm with fusion dynamic weight adjustment and rule guidance, identifying dynamic allocation target weights in a search space of decision variables through mining area operation conditions, guiding population initialization and individual restoration based on a mining operation rule library, and generating a Pareto optimal solution set to obtain candidate scheme libraries of output and start-stop time sequences of each device; The optimal scheme screening module is used for calculating the membership of each candidate scheme on each target according to each target membership function constructed in advance, calculating the comprehensive satisfaction of each candidate scheme through linear weighted summation, calculating the interpretability score of each candidate scheme on the conformity of the mining area operation rule, and screening the optimal scheme of the output and the start-stop time sequence of each device through weighted comprehensive satisfaction and interpretability score.
9. A computer readable storage medium having stored thereon a computer program, which when executed by a processor performs the steps in the method of operating a hybrid optimized mining area light-wind-storage-hydrogen energy system according to any 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, wherein the processor performs the steps in the method of operating a hybrid optimized mining area light-wind-storage-hydrogen energy system as claimed in any one of claims 1-7 when the program is executed.

Description

Operation method and system for light-wind-storage-hydrogen energy system of hybrid optimization mining area Technical Field The invention relates to the technical field of comprehensive energy systems, in particular to a method and a system for operating a light-wind-storage-hydrogen energy system of a mixed optimization mining area. Background The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. The mining area load has obvious time-varying and pulsation characteristics, namely, the electric power side has impact load caused by starting and stopping of a lifter, the loads such as ventilation, drainage and the like are stable for a long time but periodically fluctuate, and the heating power side has obvious seasonal and daily peak-valley differences under the scenes such as heating in winter, daily bathing and the like. Meanwhile, part of mining areas are limited by power grid access capability, transmission and distribution constraint and a time-of-use electricity price mechanism, and the problems of wind and light abandoning are still faced in a specific period, so that the aims of energy supply safety, economic operation and carbon emission reduction are required to realize cooperative optimization under more complex boundary conditions. The existing comprehensive energy system still has a plurality of key technical bottlenecks in the aspect of multi-energy flow cooperative operation. The conventional comprehensive energy system still faces systematic defects in the aspect of multi-target cooperative regulation, in the aspect of system modeling, a fixed target weight strategy is adopted in the conventional method, so that the optimization requirement of a mining area differentiation period is difficult to match, the dynamic characteristics and the multi-energy coupling constraint of key equipment are characterized to be insufficient, an effective multi-time scale coordination mechanism is lacked, in the aspect of algorithm realization, the conventional optimization method has low fusion degree on the mining area operation rule, is poor in efficiency in population initialization and constraint processing, and is difficult to support high-quality decisions in complex engineering scenes, so that the practical application value is restricted. Disclosure of Invention In order to solve the technical problems, the invention provides the operation method and the system for the light-wind-storage-hydrogen energy system of the mixed optimization mining area, which can realize the accurate collaborative optimization of multiple targets such as economy, low carbon, reliability and the like and provide a brand new technical path for the efficient, low carbon and reliable operation of the mining area energy system. In order to achieve the above purpose, the present invention adopts the following technical scheme: In a first aspect, the invention provides a method for operating a hybrid optimized mining area light-wind-storage-hydrogen energy system. In one or more embodiments, a method of hybrid optimized mining area light-wind-storage-hydrogen energy system operation is provided, comprising: Constructing a multi-objective operation optimization model with minimum operation cost, minimum carbon emission and maximum renewable energy source absorption rate based on operation data of a mining area light-wind-storage-hydrogen energy system; Determining a search space of decision variables corresponding to the output and start-stop time sequences of all equipment in the mining area light-wind-storage-hydrogen energy system based on a multi-target operation optimization model and a preset mining area operation rule knowledge base; Adopting a mixed multi-objective optimization algorithm combining dynamic weight adjustment and rule guidance, identifying dynamic allocation objective weights in a search space of decision variables through mining area operation conditions, guiding population initialization and individual restoration based on a mining operation rule base, generating a Pareto optimal solution set, and obtaining candidate scheme bases of output and start-stop time sequences of all equipment; Calculating membership of each candidate scheme on each target according to each pre-constructed target membership function, calculating comprehensive satisfaction of each candidate scheme through linear weighted summation, calculating an interpretability score of the candidate scheme on the conformity of the mining area operation rule, and screening out an optimal scheme of the output and start-stop time sequence of each device through weighted comprehensive satisfaction and interpretability score. As an implementation mode, target weight vectors matched with each mining area operation condition are preconfigured in a mining area operation rule knowledge base. In the process of iterative optimization in the search space of the deci