A Genetic Algorithm-Based Optimization Method for Outage Plan

A technology of power outage planning and optimization method, applied in the field of power grid, can solve problems such as the inability to meet the requirements of power supply enterprise planning management, and achieve the effect of improving lean management level, improving work efficiency, and improving power supply reliability.

CN102521673BActive Publication Date: 2016-08-24JIAXING ELECTRIC POWER BUREAU +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2016-08-24

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Abstract

A genetic algorithm-based power outage plan optimization method, which aims at the distribution network power outage plan optimization, and establishes the following multi-objective constraint programming model, mainly including: 1. Multiple optimization objectives: (1) Maximize power supply reliability; (2) ) Minimize safety risk; (3) Maximize workload balance; (4) Minimize power outage time adjustment; 2. Multiple constraints: (1) Same pole accompanying stop constraint; (2) Dual power supply constraint; (3) ) guarantee power supply constraint; (4) load transfer overload constraint; (5) workload not exceeding the limit constraint; on this basis, the simulated annealing algorithm is used to solve the problem, and the process is: encode the decision variable Bik into A string of i*k; randomly generate N solutions as the initial population, evaluate the performance of each solution; perform G operations, evaluate the performance of each solution in the population, and return the optimal solution among them.
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Description

technical field

[0001] The invention relates to a method for optimizing a power outage plan based on a genetic algorithm, which belongs to the technical field of power grids. Background technique

[0002] In the face of complex power grids, multi-tasks, multi-departments, multi-constraints and various uncertain factors, the process of formulating power outage plans for distribution networks is relatively complicated, while the preparation of traditional production operation plans has a low degree of automation and relies on manual communication and coordination , without computer-aided intelligent optimization of the plan.

[0003] The domestic and foreign researches on power system outage plan optimization mainly focus on unit maintenance, and relatively few studies on power grid equipment production plan. From the application point of view. Some scholars proposed that in the monthly power outage planning, the most economical goal of distribution network maintenance shoul...

Examples

Embodiment

[0077] Based on the method introduced in this paper, the intelligent optimization system of distribution network production outage plan was completed and put into trial operation in Jiaxing Pinghu Power Supply Bureau in September 2009 through the joint efforts of Jiaxing Pinghu Power Supply Bureau and IBM China Research Institute. In 2010, when the scale of the power grid increased by 9.2%, the average scheduled blackout times ASTC-3 of Pinghu Power Supply Bureau decreased by 30.7%, and the average scheduled blackout time AIHC-S-3 decreased by 42.2%. This method was promoted and used in various county sub-bureaus of Jiaxing Electric Power Bureau in 2011, and the system effectively improved the efficiency of power outage plan management.