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The large-scale and frequent cross-regional electricity allocations bring about the critical need to coordinate multi-region power scheduling. It is recognized that each sub-systems' taking charge of own scheduling makes the ideal centralized optimization method infeasible. In this paper, a distributed optimization strategy based on alternating direction method of multipliers (ADMM) is put forward...
In order to solve the problem of slow convergence of the basic firefly algorithm, a modified method was proposed. In the modified firefly algorithm, the parameters of the algorithm can be adjusted adaptively according to the lightness variance of the firefly population. And the random movement step can be determined in accordance with the distance of two fly flies. Meanwhile, the method of autonomous...
Conventional Optimal Power Flow (OPF) minimizes line loss snapshot by controlling generation output and transformer tap position. Distributed energy storage system (DESS) that locates close to load can provide more flexible and effective control to reduce overall line loss. A dynamic optimal power flow (DOPF) method considering energy storage units is adopted to model and analyze line loss reduction...
In high speed processing system, using common optimization algorithm to solve minimum entropy, it is slow and could produce "explosive" with computation dimension increasing. According to this problem, this paper carry out an improved Hop field neural network optimization algorithm, introducing the punish operator, and make it applied to the minimum entropy value calculation. Calculation...
Take modern teaching theories as foundation, author carry on summary and research to parts of results of education reform in recent years, which is based on the principle of the analytical class teaching design and the foundation of the main contents with combining fulfillment experience that is engaged in professional foundation lesson teaching for several years.
In the smart grid environment, appropriate power energy exchange strategies will be necessary for energy intensive industries (EIIs) with industrial power plants. This paper presents a systematic approach that can cope with the integration of industry consumers and an energy exchange strategy aiming at achieving balance between power production and consumption in EIIs. A basic balance model using...
Because of the complex influencing factors, it is very difficulty to resolve the problem of large scale pillar extraction and goaf disposal in underground mine. Fortunately, with the rapid development of computational mechanics, numerical methods and computer technology, the feasibility of numerical simulation has become an important feature of the current rock mass mechanics. Accordingly, using the...
According to optimization on safety thickness of roof for underground mining, which is a complex problem affected by multiple factors. On the basis of Genetic Algorithm (GA), each influencing factor on safety thickness of roof is considered as different gene and used to express individual composition factor of population. Therefore, each arbitrary group composed by different influencing factors can...
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