Power system maintenance and operation collaborative decision-making method oriented to toughness improvement
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A power system and collaborative decision-making technology, applied in the field of power systems, can solve problems such as unrealistic, ignoring equipment uncertainty, maintenance plan and direct impact of unit combination are rarely discussed, etc.
Pending Publication Date: 2021-12-14
JIAOZUO POWER SUPPLY COMPANY OF STATE GRID HENAN ELECTRIC POWER +1
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[0003] The existing technology has done research on the maintenance and outage plan of the power system, the unit combination plan, and the collaborative optimization of the two. These literatures have introduced optimization methods such as mixed integer programming, Lagrangian relaxation, and Benders decomposition into the model. And achieved good calculation results, but in most existing models, the uncertainty of the equipment is ignored. In a small n
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Embodiment 1
[0103] In order to illustrate the effectiveness of the proposed framework and algorithm, the calculation examples are analyzed on IEEE 6-bus system and 118-bus system. In order to discuss the influence of covariates and collaborative optimization on system maintenance plan and unit combination, the following four scenarios are used to analyze the two systems respectively.
[0104] Scenario 1: The influence of covariates is not considered, and the collaborative optimization of maintenance and unit combination is not considered;
[0105] Scenario 2: Regardless of the influence of covariates, consider the collaborative optimization of maintenance and unit combination;
[0106] Scenario 3: Considering the influence of covariates, the dynamic characteristics of the weather are added to the model, such as moving paths, intensity changes, coverage and duration, etc., without considering the collaborative optimization of the maintenance unit combination;
[0107] Scenario 4: On the b...
Embodiment 2
[0128] A collaborative decision-making method for power system maintenance and operation oriented to resilience improvement, which includes the following steps:
[0129] Step 1), initialization
[0130] Confirm network parameters, maintenance requirements, weather conditions and other information, and calculate the initial results of the maintenance plan and unit combination;
[0131] Step 2), scene generation
[0132] Generate a random scenario using recursive sampling based on the equipment forced outage rate model and covariate status;
[0133] Step 3), dynamic scene update cycle
[0134] a. In the latest scenario, use Lagrangian relaxation technology to iteratively solve the collaborative optimization of maintenance plan and unit combination, that is, the innermost loop;
[0135] The innermost loop decomposes the main problem to be optimized into maintenance sub-problems and unit combination sub-problems through Langrange relaxation technology, decouples the coupling co...
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Abstract
The invention discloses a power system maintenance and operation collaborative decision-making method oriented to toughness improvement, and the method comprises the following steps: 1), carrying out the initialization, confirming the information of network parameters, maintenance demands, weather conditions and the like, and calculating the initial result of a maintenance plan and unit combination; 2) carrying out scene generation: generating a random scene by using a recursive sampling method according to an equipment forced outage rate model and a covariable state; and 3), carrying out dynamic scene updating circulation: a, in the latest scene, using a Lagrange relaxation technology to carry out iterative solution on collaborative optimization of a maintenance plan and a unit combination, namely, innermost layer circulation; b, due to the fact that the OR of the generator is related to the on-off state of the unit, according to the latest collaborative optimization result, using a recursive sampling method for updating the random scene of the generator; and carrying out iterative circulation between the step a and the step b until the maintenance plan, the unit combination and the dynamic scene are not changed any more. The method has the advantages of comprehensive covariable consideration and reasonable steps.
Description
technical field [0001] The invention relates to the technical field of electric power systems, in particular to a collaborative decision-making method for power system maintenance and operation oriented to improving resilience. Background technique [0002] The power system is affected by internal factors and external factors in operation, such as equipment aging, operating status, weather and environment, etc. These influencing factors are collectively referred to as covariates in this paper, and covariates introduce more variables to the power system. Certainty, the deterioration of covariates will lead to forced outage of equipment and increase system operating costs, and even cause blackouts; in recent years, major accidents such as blackouts in the United States and Canada, and blackouts in India have fully demonstrated that when making short-term power system maintenance plans , should be co-optimized with the unit combination, and the influence of covariates on the sy...
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IPC IPC(8): G06Q10/06G06Q50/06G06Q10/04
CPCG06Q10/0637G06Q50/06G06Q10/04
Inventor 狄方涛许根利李忠良龙洁李陆谢黎鹏董奥冬王乐牛君玲郭琳史亮王逸飞
Owner JIAOZUO POWER SUPPLY COMPANY OF STATE GRID HENAN ELECTRIC POWER
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