A Dynamic Model for Generation Expansion Planning and Algorithm

This paper discusses the problem of long-range generation expansion planning. A dynamic model for long-range expansion planning is set up and an algorithm-a two-step programming is presented, which is used here in a case.     

Realization of Distribution Power Recoering with Dynamic Programming

Distribution power reconflguration is realization of distribution power recovering. The target is not only to recover power supply immediately for the non-trouble area, but also meet the capacity of the line load, the least wire lose, the least operating steps, keeping lines balance and the highest reliability. At present most researches focus how to separate trouble quickly and how to recover the non-trouble area. Few researches discussed selecting optimized recovering path. The problem to realize distribution power recovering is a new task in the distribution power field. Examples prove it is a simple, fast, practically and efficient method to select the best path to recover the non-trouble area with dynamic programming and non-linear multi-object technology.     

A New Heuristic Evolutionary Programming and Its Application in Solution of the Optimal Power Flow

A new algorithm,based on the combination of the evolutionary programming with the traditional gradient adjustment technique,is presented for solving the optimal power flow problem which describes some technical problems(representations of candidate solutions,evaluation function,mutation operator).Its efficiency is higher than that of general evolutionary programming.     

Bilevel Programming Model and Solution Algorithm for the Supplier Selection in Automobile Components

Focusing on the characteristics of automobile components industry, such as long-term supplier selection, large number of suppliers, various assessment index, complicated processes, and extremely strict assessment requirements, an improved supplier selection bilevel programming model for automobile components industry is established. With this model, the authors analyzed selected objectives from viewpoints of both suppliers and purchasers, assessed several selectied factors with upper and lower layer objective functions, and produced a optimal supplier selection method to achieve minimum purchasing costs. This model takes several constraints, such as technology, quality, quoted price, supply capacity and services of suppliers, into consideration, which makes the model very practical. A genetic-algorithms-based calculation method is designed, and the model is validated through a case study. Both the model and the method provide valuable support to supplier selection in the automobile components industry.     

Loads Equalization Based on Optimization Principle and the Hierarchical Model for Distribution Networks

Loss reduction is important for distribution networks and it is available to reduce loss by loads equalization. With increasing numbers of vertexes in distribution networks, compounding of loads are rapid increasing. It is hard to achieve the global optimization for load balancing by traditional model of distribution networks. Base on analyzing character of loads equalization for distribution networks, this paper provides a new method which conjugate the optimization principle and the hierarchical model of the distribution networks, can transfer the optimization issues into multi stage decision making problems,and can also achieve the optimization equalization of the distribution networks loads.     

Bi-level Programming Model and Genetic Algorithms for the Selection of Vendors

The traditional vendor selection model often pay attention to the profit of the buyers and the selection behavior of vendor is ignored,but the vendors only trade with the buyers according with their rational selection,so the vendors selection bi-level programming model is presented with constraint of minimal batches,the ability of supply,product matching etc.A solution of the model based on genetic algorithm is proposed.The buyers' vendor selection of minimum cost is realized in the upper programming and the allocation of requirements is proposed in the lower programming.The application of the model and its algorithm are illustrated with a practical example.     

The Multi-objective Fuzzy Optimal Power Flow Model and its Neural Network Algorithm

This paper has presented a multi-objective fuzzy optimal power flow medel.Inthe model , the multiple objectives, such as the minimum generation cost and the minimum powerloss, have been considered simultaneously, A new algorithm based on neural network models is aisopresented,in which the neural networks are employed to express, the membership function of fuzzysets and solve the optimization problems. The validity of model and algorithm is verified with numerical examples.     

An Optimization Model and Its Computer Software System for Regulation of Alloy Elements During Steelmaking Process

In this paper, an optimization model is designed for regulating alloy elements during steelmaking process, and a real-time computer software system has been developed based on the characteristics of alloy steelmaking. The results indicate that the system is of good operation performance, remarkable economical benefits and higher application value.     

Algorithm for the Nonliiear Programming with Lineare Equality Constraints

On the base of the algorithm that is gained by TongDongFu in his master degree paper in 1999,the autrors add accurate one dimension search method(Newton method)into it and gained a new algorithm for the nonlinear programmign with linear equality constraints.Some examples are given to testify the availability of this algorithm.     

Optimizing Capital Structure of Enterprises by Multiobjective Programming Model

This paper puts forward that capital structure is affected by cost of capital?risk?the agin ability? and the ability of capital value preserved and added, several factors, of and at the same time the authors analyzes them by approaching the limitation of regarding the weighted average cost of capital as the optimal standard of capital structure in the traditional capital structure decision-making method. Therefore multiobjective-programming method is applied in the capital structure to establish the target function and its subjection equations. Furthermore , this article shows its application.     

A Reactive Power Optimization of Classic Method Combined with Lincar Programming

A tow-stage VAR optimization model is presented in this paper.First.the optimal solution is quickly solved by VAR classic method,which only considers the limitaryconditions of Reactive Power and reactiue power equation and yet linear increment model based onsensitivity is set up and linear programnung is employed to correct the overlimit varlables,Theoptimal resnlts in the tirst stdge are corrected to be feasible.The proposed method has beensuccessful in the sample systems and reai systems.     

Research of the Estimate of Our Country''s University Science Park Based on the Analytic Hierarchy Process Method and the Dynamic Clustering Method

The development of university science park is very rapid, its evaluation is a problem that to be solved. According to the feathers of university science park, the authors select the analytic hierarchy process as the basic evaluating method to develop elements of university science park, and then use the dynamic clustering to do the synthetical evaluation to the general developing status. The examples show this evaluating system is simple and practical. The system can provide decision-making functions to the development of university science park.     

Descending Dimension Algorithm of Nolinear Programming Problem with Linear Inequality Constraints

The general nonlinear programming with linear constraints was investigated. In the algorithm, the method of contributing set was used. Comparing with the general contributing set method, the descending dimension method was used to solve the sub-problem with equality constraints in iterative procedure and the problem with inequality constraints. The algorithm is effective by the numerical test. Finally, it was proved that the iteration points are descending, when the objective functions are convex.     

Algorithm and Its Implementation for the Network Maximal Flow

On the algorithm of the network maximal flow, the paper provides a method of achieving it. The concrete procedure is to achieve the algorithm by using stack and structural array. First of all, an adjacency list should be established and its composition chiefly includes orientation, capacity, flux and so on. Afterwards the labeling method is adopted to find the augmenting chain according to the adjacency list. In the process, some spots are stored in the stack by means of the depth superior traverse and range superior traverse and the course way is also conserved in the array. Keep on doinh this till the maximum flow and the flow of each arc are all found.     

The Algorithm of Reduced Dimension forQuadratic Programming with Equality Constraints

In this paper,based on reference a method to solve the problem with equality constraints is given.A new approach for solving these problems is obtained,the number of dimensions of corresponding system or equations is less than that of the classic Lagrangian multiplier approximation.Using nonlinear equality constraints,the approximate algorithm is obtained.Moreover,the numerical difficulty is reduced by means of the new algorithm.     

Discussion on Optimization of Tube Settling Process

The optimization of tube settling process should be confined within the optimization of whole water treatment plant design under the conditions of higher criteria on potable water.Tube settling process has a better suitability for the challenge of new regulation of drinking water quality. When optimizing tube settling process,the effects on which filtration and flocculation processes have been exerted should be considered.The design surface load of tube settling should be lower than that in existing design codes.The configuration of tube module can be selected as two-or multi-layer module to make full use of the separation capacity of tube module.The suitable cross-section type of tube is also needed to be selected carefully,adopting an excellent one which is knoumas square cross-section type of tube.The layout of tube settler,the arrangement of tube module,the connection between tube settler and flocculator,and the construction and operation management of tube settling process are also factors for the optimization of tube settling process.     

Application of Evolutionary Programming in Optimal Reactive Power Dispatch

This paper describes an application of evolutionary programming(EP) to reactive power optimization and voltage control of power systems.Some technical problems which conclude mutation sacle,fitness value and population size have been solved to make EP practical for solving the optimal power flow problems.The computational results with EP have been compared with those obtained from a conventional gradient based optimization method.The comparision shows that EP are better than conventional methods in dealing with the optimization of noncontinuous and nonsmooth funcnons.The EP show the ability to search for the global optimum in reactive optimization that has multiple optima.     

蜂胶中黄酮类化合物提取工艺的优化

蜂胶具有消炎、杀菌及抗氧化等生理活性。通过对蜂胶有效成分黄酮提取工艺的研究表明,影响蜂胶总黄酮提取率的主要因素是提取温度、提取时间、乙醇体积分数和料液比对提取率影响甚微。水浴条件下蜂胶总黄酮的最佳提取工艺是:提取温度60℃,提取时间3h,乙醇体积分数为80%,料液比1∶25,此条件下测得黄酮得率为43.50%。