Transmission network expansion planning considering uncertainty in demand

This paper presents two mathematical models and one methodology to solve a transmission network expansion planning problem considering uncertainty in demand. The first model analyzed the uncertainty in the system as a whole; then, this model considers the uncertainty in the total demand of the power system. The second one analyzed the uncertainty in each load bus individually. The methodology used to solve the problem, finds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The models presented are solved using a specialized genetic algorithm. The results obtained for several known systems from literature show that cheaper plans can be found satisfying the uncertainty in demand.

Transmission network expansion planning in full open market considering security constraints

This paper presents a mathematical model and a methodology to solve the transmission network expansion planning problem with security constraints in full competitive market, assuming that all generation programming plans present in the system operation are known. The methodology let us find an optimal transmission network expansion plan that allows the power system to operate adequately in each one of the generation programming plans specified in the full competitive market case, including a single contingency situation with generation rescheduling using the security (n-1) criterion. In this context, the centralized expansion planning with security constraints and the expansion planning in full competitive market are subsets of the proposal presented in this paper. The model provides a solution using a genetic algorithm designed to efficiently solve the reliable expansion planning in full competitive market. The results obtained for several known systems from the literature show the excellent performance of the proposed methodology.

A resolução do problema de despacho ótimo de reativos pelo método da função Lagrangiana-barreira relaxada

This work presents the application of the relaxed barrier-Lagrangian function method to the optimal reactive dispatch problem, which is a nonlinear nonconvex and large problem. In this approach the inequality constraints are treated by the association of modified barrier and primal-dual logarithmic barrier method. Those constraints are transformed in equalities through positive auxiliary variables and are perturbed by the barrier parameter. A Lagrangian function is associated to the modified problem. The first-order necessary conditions are applied generating a non-linear system which is solved by Newton's method. The auxiliary variables perturbation result in an expansion of the feasible set of the original problem, allowing the limits of the inequality constraints to be reach. Numeric tests with the systems CESP 53 buses and the south-southeast Brazilian and the comparative test with the primal-dual logarithmic barrier method indicate that presented method is efficient in the resolution of optimal reactive dispatch problem.

Transmission network expansion planning considering uncertainty in generation and demand

This paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering uncertainty in demand and generation. The methodology used to solve the problem, finds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The model presented results in an optimization problem that is solved using a specialized genetic algorithm. The results obtained for known systems from the literature show that cheaper plans can be found satisfying the uncertainty in demand and generation. ©2008 IEEE.

Transmission network expansion planning considering multiple generation scenarios

This paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering open access. The methodology finds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with multiples generation scenarios. The model presented is solved using a specialized genetic algorithm. The methodology is tested in a system from the literature. ©2008 IEEE.

Multi-area decentralized optimal VAr planning using the Dantzig-Wolfe decomposition principle

This paper presents a new methodology for solving the optimal VAr planning problem in multi-area electric power systems, using the Dantzig-Wolfe decomposition. The original multi-area problem is decomposed into subproblems (one for each area) and a master problem (coordinator). The solution of the VAr planning problem in each area is based on the application of successive linear programming, and the coordination scheme is based on the reactive power marginal costs in the border bus. The aim of the model is to provide coordinated mechanisms to carry out the VAr planning studies maximizing autonomy and confidentiality for each area, assuring global economy to the whole system. Using the mathematical model and computational implementation of the proposed methodology, numerical results are presented for two interconnected systems, each of them composed of three equal subsystems formed by IEEE30 and IEEE118 test systems. © 2011 IEEE.

An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning

An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are presented, (1) generation of an initial population using fast, efficient heuristic algorithms, (2) better implementation of the local improvement phase and (3) efficient solution of linear programming problems (LPs). Critical comparative analysis is made between the proposed genetic algorithm and traditional genetic algorithms. Results using some known systems show that the proposed EGA presented higher efficiency in solving the static and multistage LTTEP problem, solving a smaller number of linear programming problems to find the optimal solutions and thus finding a better solution to the multistage LTTEP problem. Copyright © 2012 Luis A. Gallego et al.

Decomposição de Dantzig-Wolfe aplicada ao problema de planejamento de reativos em sistemas de potência multi-áreas

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Produção de isolado proteico proveniente de subprodutos da indústria de aves em diferentes escalas

A indústria de aves brasileira destaca-se economicamente, onde um total de 12,3 milhões de toneladas foi produzido no país em 2013. Esta produção em larga escala gera considerável volume de subprodutos, chegando até 35% da ave viva. Tais resíduos são convertidos, por processos tradicionais, em produtos de baixo valor comercial, como por exemplo, farinhas. O processo de variação de pH constitui um importante processo alternativo de obtenção de proteínas com melhores características funcionais e nutricionais. Estudar as variáveis do processo, efetuando aumento dimensional, é fundamental para aplicação das tecnologias desenvolvidas no laboratório e posterior definição final de processos industriais. A produção de isolados proteicos seria uma tecnologia atraente no aproveitamento de subprodutos da indústria de frango, convertendo-os em uma ótima fonte proteica, agregando valor ao produto obtido. Este trabalho teve por objetivo produzir isolados proteicos em diferentes escalas, utilizando subprodutos não comestíveis da indústria de frango. Foi estudada a solubilização das proteínas da matéria-prima (MP) para definir pHs de solubilização e de precipitação isoelétrica. A curva apontou um pH alcalino de 11,0 para etapa de solubilização e de 5,25 para etapa de precipitação proteica. As proteínas obtidas foram caracterizadas quanto sua composição proximal, índice de acidez (IA), índice de peróxidos (IP) e substâncias reativas ao ácido tiobarbitúrico (TBARS) além de propriedades funcionais de solubilidade, capacidade de retenção de água (CRA) e capacidade de retenção de óleo (CRO); e nutricionais de digestibilidade proteica. Comparativamente foram analisadas farinhas de vísceras comerciais nos mesmos parâmetros. Um aumento de escala do processo foi realizado e avaliado pelas mesmas respostas do produto da escala laboratorial. Foi obtido um teor proteico de 82 e 85% em escala laboratorial e aumento de escala, respectivamente, e também uma redução lipídica de 75%, e de cinzas de 85%, em relação à MP. A composição proximal das farinhas analisadas ficou entre 67-72% para proteína bruta, 17-22% para lipídios e 9-15% para cinzas. O IA, apresentou valores de 2,2 e 3,1 meq/g de isolado e de 1,6 a 2,0 meq/g de farinha. Já para IP, obteve-se valores de 0,003 a 0,005 meq/g de isolado e de 0,002 a 0,049 meq/g de farinha. Os índices de TBARS apontaram valores de 0,081 e 0,214 mg MA/g de isolado e 0,041 a 0,128 mg MA/g de farinha. A solubilidade das proteínas do isolado apontou 84 e 81% em pH 3 e 11 respectivamente e de 5% em pH 5, já para farinhas variaram de 22 a 31% em pH de 3 a 11. A CRA obtida no isolado foi 3,1 a 16,5 g água/g de proteína e de 3,8 a 10,9 g água/g de proteína nas farinhas. A CRO ficou em 4,2 mL de óleo/g de proteína do isolados e 2,6 mL de óleo/g de proteína da farinhas. Os isolados proteicos apresentaram 92 e 95% de digestibilidade das proteínas, em comparação aos 84% das farinhas comerciais. Os índices acumulados e apresentados neste trabalho concluíram que foi possível aumentar a escala do processo de variação de pH, sem perder qualidade nos índices físico-químicos e de digestibilidade proteica.

Characterization of silicon carbide thin films and their use in colour sensor

A series of hydrogenated amorphous silicon carbide (a-Si1-xCx:H) films were prepared by plasma-enhanced chemical vapour deposition (PECVD) using a gas mixture of silane, methane, and hydrogen as the reactive source. The previous results show that a high excitation frequency, together with a high hydrogen dilution ratio of the reactive gases, allow an easier incorporation of the carbon atoms into the silicon-rich a-Si1-xCx:H film, widen the valence controllability. The data show that films with optical gaps ranging from about 1.9 to 3.6 eV could be produced. In this work the influence of the hydrogen dilution ratio of the reactive gases on the a-Si1-xCx:H film properties was investigated. The microstuctural and photoelectronic properties of the silicon carbide films were characterized by Rutherford backscattering spectrometry (RBS), elastic recoil detection analysis (ERDA), and FT-IR spectrometry. The results show that a higher hydrogen dilution ratio enhances the incorporation of silicon atoms in the amorphous carbon matrix for carbon-rich a-Si1-xCx:H films. One pin structure was prepared by using the a-Si1-xCx:H film as the intrinsic layer. The light spectral response shows that this structure fits the requirement for the top junction of colour sensor. (c) 2004 Elsevier B.V. All rights reserved.

己酸乙酯酯化真菌筛选及发酵条件研究

本文主要研究了具有己酸乙酯酯化活性的真菌菌株的筛选和发酵条件优化。从大曲和糟醅样品中分离纯化获得79株产生透明圈的丝状真菌，菌落形态初步识别结果显示分离菌株包括红曲霉属、根霉属及曲霉属等菌株。其中菌株EM-56酯化酶活力最强，发酵获得的粗酶制剂酶活为172.36 u。根据显微形态、菌落形态及生理生化特征，初步鉴定该菌株为曲霉科红曲霉属紫色红曲霉（Monascus purpureus）。 在此基础上重点研究了菌株EM-56在不同培养基成分及不同培养条件下的产酶情况，确定了最佳培养基和培养条件。通过单因素实验确定在基础培养基中添加最佳碳源为葡萄糖，最佳氮源为蛋白胨。正交优化实验结果确定了最佳培养基组成：以麸皮为基础培养基，添加葡萄糖 2%，蛋白胨 0.3 %，KH2PO4.3H2O 0.05 %，MgSO4.7H2O 0.06 %。菌株EM-56在上述培养基中的最佳发酵条件为：初始pH 5.5，发酵温度为35°C，发酵时间7d，种龄48h，接种量8%，装瓶量50g / 瓶（500mL）。在最佳培养基和发酵条件下，菌株EM-56发酵获得的粗酶制剂酶活达到241.56 u，比优化前提高了40.15%。 In this paper, the research focuses on the selection of fungus with esterifying activity and optimization of fermentation conditions. We isolated 79 strains which had transparent zones from Daqu and fermented grains. The isolated strains contained Monascus、Rhizopus and Aspergillus through primary morphology analysis. The strain of EM-56 which produces strongest esterase was selected. The enzyme activity reached 172.36u. According to related literature, EM-56 was identified as Monascus purpureus through morphology analysis and biochemical determination. We also studied the effects of different medium and fermentation conditions on the esterase production of strain EM-56. The optimal medium and fermentation conditions were determined. Single factor experiment result shows that the optimal carbon source added is glucose and the optimal nitrogen source added is peptone. The optimal fermentation medium determined by orthogonal optimization test is as follows: wheat bran as substrate, glucose 2%, peptone 0.3%, KH2PO4.3H2O 0.05%，MgSO4.7H2O 0.06%. The optimal fermentation conditions are: initial pH 5.5, cultural temperature 35°C, cultural time 7d, seed age 48h, inoculation 8%, medium mass 50g / flask（500mL）. The esterse activity of EM-56 cultivated in the optimal medium and fermentation conditions reached 241.56u and increased by 40.15% compared with the original activity.

两株耐碱性木聚糖酶产生菌的筛选及产酶条件研究

本文主要研究了从造纸厂碱性土壤中筛选得到的，能够产生耐碱木聚糖酶的两株放线菌X24-14和X15-17。通过16 S rRNA基因序列分析并结合菌株的形态特征以及生理生化特性，初步认为菌株X15-17为拟诺卡氏菌属（Nocardiopsis）的一个潜在新种；菌株X24-14为纤维化纤维菌（Cellulosimicrobium cellulans）。 在此基础上探索了菌株X24-14和菌株X15-17所产木聚糖酶的基本酶学性质。研究发现，两株菌所产的木聚糖酶的耐碱性均较强： 1）菌株X24-14所产的木聚糖酶，在pH 4.2～9.4的范围内能维持较高的活力，pH 9.4条件下，仍能保持80％的酶活力；2）菌株X15-17所产的木聚糖酶在pH 4.0～9.0的范围内能维持较高的活力，pH 9.0条件下，仍能保持80％的酶活力；3）两株菌所产的木聚糖酶均具有较好的pH稳定性，在pH 2.0～11.0范围内稳定，pH 11.0、4 ℃条件下处理24 h仍具有75％的活力。 本文还重点研究了菌株X24-14在不同培养基成分及不同培养条件下的产酶情况，确定了其适宜的产酶条件。结果显示，菌株X24-14的最适碳源为麸皮；最适氮源为蛋白胨；最适产酶pH为pH 8.5。菌株X24-14适宜的产酶条件为：麸皮60 g/L，蛋白胨10 g/L，K2HPO4 7.0 g/L，pH 8.5，接种量为5％，37 ℃，200 r/min发酵培养108 h。 Two strains of actinomycetes, X24-14 and X15-17, which produced alkali-tolerant xylanase were screened from the soil samples collected from a pulp mill in china. Based on the morphological, physiochemical characteristics and 16S rRNA sequence, X24-14 was priminarily identified as cellulosimicrobium cellulans ; X15-17 was priminarily identified as a new species of Nocardiopsis. The investigation examined the enzyme activities which produced by X24-14 and X15-17 under different pH and different temperatures. The results showed that : 1）The xylanase from X24-14 had characteristic of alkali-tolerance: It remains 80% relative activity at pH ranges between pH 4.2 and pH 9.4 under 50℃. 2)The xylanase from X15-17 also showed characteristic of alkali-tolerance, it remains 80% relative activity at pH ranges between pH 4.0and pH 9.0 under 50℃. 3）The xylanase from the two strains showed alkali-stable characteristics. They were stable at pH ranges between pH 2.0 and pH 11.0, showing 75% of its maximal activity remaining under 24 hours of treatment at 4℃. We also studied the effect of different growth conditions: carbon source, nitrogen sources, inoculum size, and initial pH on the production of xylanase of strain X24-14. The results showed that :The optimal carbon source was wheat bran; The optima nitrogen source was peptone; The maximum xylanase activity was achieved in the medium containing 60 g/L wheat bran, 10 g/L peptone, 7 g/L K2HPO4, inoculum size 5% and pH 8.5, under 37℃ in 108 h.

Multiuser Cognitive Relay Networks: Joint Impact of Direct and Relay Communications

In this paper, we propose a multiuser cognitive relay network, where multiple secondary sources communicate with a secondary destination through the assistance of a secondary relay in the presence of secondary direct links and multiple primary receivers. We consider the two relaying protocols of amplify-and-forward (AF) and decode-and-forward (DF), and take into account the availability of direct links from the secondary sources to the secondary destination. With this in mind, we propose an optimal solution for cognitive multiuser scheduling by selecting the optimal secondary source, which maximizes the received signal-to-noise ratio (SNR) at the secondary destination using maximal ratio combining. This is done by taking into account both the direct link and the relay link in the multiuser selection criterion. For both AF and DF relaying protocols, we first derive closed-form expressions for the outage probability and then provide the asymptotic outage probability, which determines the diversity behavior of the multiuser cognitive relay network. Finally, this paper is corroborated by representative numerical examples.

Um método eficiente para resolução do problema de Despacho Ótimo de Reativos com controle discreto do TAP dos transformadores

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Planejamento da expansão de sistemas de transmissão considerando a retirada de linhas de transmissão

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)