Research On Optimization Model And Implementation Strategy For Transmission Maintenance Considering Smart Grid

Currently, low-carbon economic development mode has been widely adopted to address climate change and achieve sustainable development. The rate of coal in primary energy consumption remains70%in China. In the mode of low-carbon economy development, facing with high-carbon-based power structure, the power industry had become the key to achieve energy conservation in China. It is an inevitable trend to promote smart grid construction for the purpose of changing development patterns of power industry progressively into the mode of low-carbon economy. In this process, a variety of advanced technologies have been introduced to the power system to improve energy efficiency and reduce greenhouse gas emissions, which brings new challenges to our traditional transmission maintenance mode. On the one hand, along with the increasing amount of power grid assets and stepped growth of workload in power construction, installation, maintenance, operation maintenance and technical management, it is of significant importance to determine the effective transmission maintenance strategy for ensuring the stability and safety of the power grid; On the other hand, the introduction of large numbers of advanced technology has provided technical support for real-time monitoring and evaluation of device status, fault diagnosis, and disaster warning information. Therefore, it is of positive theoretical and practical significance to undertake the transmission maintenance scientifically and efficiently so as to realize the safe, reliable and cost-effective operation of power grid.In this thesis, considering the impact of smart grid construction on the transmission maintenance, an optimization mode and embodiment of the transmission maintenance under the conditions of smart grid is studied. Firstly, considering the areas of equipment failure, fault detection and diagnosis, risk assessment of equipment failure, and equipment troubleshooting, the optimization theory of transmission maintenance is analyzed, which lays the foundation for further in-depth study. Secondly, the optimization model of transmission maintenance based on continuous ant colony optimization algorithm is studied under the conditions of the smart grid. On the purpose of minimizing transmission maintenance costs and maximizing available transmission capacity, an optimization decision-making model of transmission maintenance is established, and a solving method and process for continuous optimization is analyzed, with a numerical example given. Thirdly, the optimization model of transmission maintenance based on the risk assessment is studied under the conditions of the smart grid. The risk of the transmission system is assessed based on the failure consequences, and an optimization model of transmission maintenance based on the risk assessment is established using the overhaul optimization index of fault risk value. Besides, process optimization and solution algorithm of transmission maintenance based on the risk is proposed, and a numerical example was given. Finally, the embodiment of transmission maintenance management under the smart grid conditions is analyzed, including the contents of transmission asset management, transmission maintenance program management, transmission maintenance demand side response, transmission maintenance technical support and organization guarantee.Study results are abundant. Firstly, in the context of smart grid, compared with the conventional ant colony algorithm, the solution to transmission maintenance optimal decision-making problems using continuous ant colony optimization algorithm is relatively cost-saving and has more available transmission capacity, indicating that continuous ant colony algorithm can get better effectiveness of the obtained solution set due to taking full account of continuity of the pheromone concentration change. Secondly, under the background of smart grid, it is reasonable and feasible to arrange transmission maintenance tasks for the goal of maximization reduction of the risk value. The relaxation linear programming algorithm based on dynamic programming meets optimal solution and has high calculation efficiency, and the risk reduction value can be further increased through the re-allocation of funds and personnel, which also provides decision-making support for optimal allocation of resources overhaul. Finally, in the program implementation of transmission maintenance management under smart grid conditions, taking a full life cycle management as the starting point, the characteristics and processes of transmission maintenance asset management under smart grid conditions is introduced; the short-term, medium-term, long-term plan and demand-side management of transmission maintenance under the smart grid conditions is proposed; technical support of transmission maintenance under the smart grid conditions is analyzed from the aspects of technical learning, professional technology penetration, job access threshold, skills training, incentive and restraint mechanisms, and IT level; group protection of transmission maintenance under the smart grid conditions is analyzed from the aspects of management, implementation and evaluation of transmission maintenance. These findings can provide certain reference for seeking suitable optimization mode of transmission maintenance under the smart grid conditions in China, and contribute to the safe and economic operation of our power grid and the reliability of power supply.