36 results about "Life cycle costing" patented technology

The invention discloses a probability whole life cycle cost-based power transformer performance evaluation method, which mainly comprises the steps: establishing a whole life cycle cost model of a power transformer; estimating a probability distribution function of the whole life cycle cost of the power transformer; quantitatively processing qualitative indicators; processing data in a standardized way; processing the data in a dimensionless way; evaluating an alternative scheme by using a matter-element model; determine an optimal scheme. According to the probability whole life cycle cost-based power transformer performance comprehensive evaluation method, the probability whole life cycle cost model is constructed by introducing the statistical theory, the cost parameter uncertainty is improved, the theory of matter-element is adopted to assess the alternative scheme, and thus the optimal scheme is more reasonable. The invention also discloses a probability whole life cycle cost-based power transformer performance comprehensive evaluation method, the reliability, technology advancement, serviceability and environmental impact indicators are increased, the efficient combination of reliability of the power transformer and reliability is realized, the utilization rate of the transformer is enhanced, and the power grid assets management level is improved.

The invention discloses a power generation and transmission multi-stage joint expansion planning method and system. The method comprises the following steps: reducing operation data with space-time characteristics by using a fuzzy clustering method to serve as a planned operation scene in a research period, and establishing a multi-objective and multi-stage power generation and transmission jointexpansion planning model for optimization by taking the full life cycle cost and cascading failure risk as economy and reliability targets and taking each horizontal year within a research year as a planning stage. According to the method, the economy and the operation reliability of the system are coordinated within the whole research period, a progressive expansion planning mode that a network source structure is matched with a load demand is formed, and a Pareto optimal solution set and a recommended staged expansion planning sequence can be obtained through optimization.

The present application relates to a method and device for optimizing configuration of microgrid energy storage in consideration of full life cycle cost. The microgrid energy storage optimization configuration method considering the life cycle cost includes: obtaining the data of the energy storage system to be configured to obtain the target data; obtaining a pre-established energy storage optimization model, the energy storage optimization model includes the outer layer optimization model and An inner layer optimization model; according to the target data, the optimal solution of the energy storage optimization model is solved by a genetic algorithm and a simulated annealing algorithm to obtain an optimal configuration result, and the optimal configuration result includes at least the rated power, the rated capacity and the economical operating power; configuring the energy storage system to be configured according to the optimized configuration result. The method provided in this application can minimize the cost and maximize the revenue of the energy storage system in the whole cycle.

The invention discloses a method for optimizing the type selection of distribution transformers, which collects the models and related parameters of distribution transformers that can be selected in the station area, and based on the load data of the previous year in the station area, based on the load of the nth year in the forecast planning period, Set the width of the load interval, arrange the load intervals from small to large according to the load value, obtain the load distribution curve, count the load interval under the maximum probability coefficient, calculate the upper limit and lower limit of the economical operation area of ​​the transformer, and obtain the economical operation area of ​​the transformer , calculate the selection range of transformer economic capacity, establish a distribution transformer life-cycle cost model considering the risk cost, calculate the life-cycle cost of each distribution transformer in the sequence, and select the transformer model with the smallest total cost as the optimal transformer. The present invention effectively provides a method with high utilization efficiency, low operating cost and can ensure more optimal operation of the transformer by considering the maximum probability distribution coefficient and risk cost in the load interval.

The invention relates to a method for optimizing the redundancy of a large-scale offshore wind farm power collection system, comprising the following steps: 1) designing a redundant structure of the offshore wind farm power collection system according to the wind turbine coordinates, submarine cables and electrical equipment data of the offshore wind farm; 2) According to the design results of the redundant structure of the offshore wind farm collector system, define the redundancy degree of the collector system to indicate the redundancy degree of the redundant structure of the collector system, and calculate the various costs of the collector system under different redundancy degrees; 3) According to the various costs, calculate the full life cycle cost of the offshore wind farm power collection system under different redundancies, and the design with the lowest life cycle cost is the optimal design of the power collection system redundancy. Compared with the prior art, the invention has the advantages of high reliability, good economy, consideration of different redundancy and the like.

The present invention is a capacity planning method for a pumped storage power station based on the whole life cycle cost theory. The life-cycle cost model of the power station; then, under the given scenario of the system load curve and wind power output, use the coordination relationship between the output of thermal power and the output of the pumped storage power station to analyze the impact of the pumped storage power station on the thermal power system and the wind power system. The benefits and self-generated benefits are combined with the life-cycle cost and operation-related constraints to establish the comprehensive benefit model of the pumped storage power station; finally, the particle swarm optimization algorithm is used to solve the comprehensive benefit model of the pumped storage power station. The planned capacity of the pumped storage power station is obtained when the comprehensive benefit is maximized.

The invention relates to a power equipment maintenance decision-making method, and particularly relates to a power equipment maintenance decision-making method utilizing an equal degradation theory and equipment risks. According to the invention, the equal degradation theory is introduced into the power industry, analysis and comparison are performed on changes in equipment risk before and after maintenance by sufficiently considering changes in equipment failure probability before and after maintenance, and the equipment maintenance cost is considered so as to acquire an optimal maintenance scheme. The power equipment maintenance decision-making method starts from the view of asset management, the cost required by equipment in the whole life cycle is enabled to reduce to minimum, and a balance point is found between self values of the equipment and economic benefits brought by the equipment to a system, between LCCM (Life Cycle Costing Management) and equipment maintenance and between technologies and management of the power system.

The present invention provides a method and system for evaluating the life-cycle economics of a solar-storage-charging integrated power station. Under the scenario of using a chemical battery as an energy storage system, the annual maximum cost of a photovoltaic electric vehicle charging station considering the life-cycle cost of an energy storage battery is With revenue as the goal, establish a life-cycle revenue model for photovoltaic-storage-charge integrated power stations, use multi-population genetic algorithm to solve the established revenue model to determine the optimal photovoltaic and energy storage capacity when the revenue is maximized, and then combine to establish technical economic benefits and financial benefits The mathematical model of the indicator and the probability model establish a model to evaluate the life cycle economics of the integrated solar-storage-charger power station to evaluate the economic benefits. The method and system have established a model for evaluating the life-cycle economics of a solar-storage-charge integrated power station, and evaluated the economics under different solar-storage capacity configurations, and have better verified the effectiveness of adding battery energy storage to a photovoltaic vehicle charging station. Necessity and its possibility of optimal gain.