Review on optimization techniques used for smart grid

Smart grids provide many benefits to the technological era, although they need to be optimized. The smart grid uses many optimizing methods to save energy, reduce costs, and address security issues in the generation, transmission, and distribution of energy in each domain area. The smart grid can be optimized by controlling cost minimization, distribution side, energy management, protection systems, and so on. This paper studies the optimization techniques used in the smart grid demand sector (Heuristics and Meta heuristics). The demand side management of the grid operations are clearly explained with its protection systems and control techniques. Among all the control methodologies and analysis smart meter-based systems are delivers high output rather than others

PARTICLE SWARM OPTIMIZATION TECHNIQUE FOR RULE BASE OPTIMIZATION OF FLC FOR LOW SPEED ACC VEHICLE

ABSTRACT Adaptive Cruise Control is used in vehicles for giving support to the drivers and to circumvent rear end collision. Due to the presence of nonlinearity in the vehicle (system), it is difficult to design an exact mathematical model of the system. Heuristic based fuzzy logic controller with optimized rule base, which does not require accurate mathematical modelling is proposed here which uses the knowledge of the designer for developing the rule base. The performance metrics in terms of better control and response time of the controller depends upon how well the rule base is formulated. More the number of rules in the rule base, higher the search time and increase in the total response time of the system but better will be the control. On the other hand, if the rules are less, then the search time will reduce which in turn decreases the total time of response of the system but control will be poor. In order to obtain an optimized control, the rule base is optimized using Particle Swarm Optimization technique. The result had shown a better performance

Machine Learning in Combustion: Optimization of Fuel Combustion of Rockets

Application of Machine Learning (ML) Techniques in research has seen a drastic increase in past few years and the main aspect of it in the rocket propulsion is to understand the combustion process and finding various methos to optimize it. This paper provides an overview of the relationship between machine learning and combustion with a specific focus on optimizing the rocket fuel combustion. The introduction presents an overview of Combustion and various ways which the ML is associated with it. Subsequently, the paper also discusses about the various ML algorithms which extends its discussions with the supervised, unsupervised and semi-supervised learning techniques and some of its types. An overview of different types of rocket engine is presented for the understanding of the characteristics, advantages and disadvantages of the commonly used rocket engines such as solid, liquid and hybrid propellant ones. Focusing on rocket fuel combustion, the discussion extends to various methods of optimization of the combustion process.  Finally, the paper presents comprehensive results and discussions derived from the studies conducted on rocket fuel combustion optimization

Economic Load Dispatch Using a Chemotactic Differential Evolution Algorithm

Abstract. This paper presents a novel stochastic optimization approach to solve constrained economic load dispatch (ELD) problem using Hybrid Bacterial Foraging-Differential Evolution optimization algorithm. In this hybrid approach computational chemotaxis of BFOA, which may also be viewed as a stochastic gradient search, has been coupled with DE type mutation and crossover of the optimization agents. The proposed methodology easily takes care of solving non-convex economic load dispatch problems along with different constraints like transmission losses, dynamic operation constraints (ramp rate limits) and prohibited operating zones. Simulations were performed over various standard test systems with different number of generating units and comparisons are performed with other existing relevant approaches. The findings affirmed the robustness and proficiency of the proposed methodology over other existing techniques. 1

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Not AvailableProtected cultivation is an innovative way of raising seasonal and off-seasonal crops under a controlled environment. Vegetables and flower crops have tremendous potential to augment productivity, generate employment, utilize land efficiently and enhance export. This study was undertaken to assess the economic feasibility of protected cultivation in the high export potential zones of the Pune and Nasik districts of Maharashtra, India, by employing project analytical tools and the regression model. The results revealed that the cultivation of flowers and vegetables under protectedcultivationwashighlylucrativewithhighinvestment. Theprotectedcultivationofroseand capsicum had higher cultivation cost (300%), gross return (250%) and net return (190%) as compared toopencultivation. Moreover,mostofthecropsgrowninpolyhousesarehighlyprofitableatdifferent discount rates (7%, 10% and 12%), whereas a few crops were rewarding under shade net condition with subsidies. Factors such as literacy (p < 0.05), income (p < 0.05), access to subsidy (p < 0.05) and the risk orientation index (p < 0.01) were found statistically significant in technology adoption. In the context of a changing climate and shrinking land resources, water scarcity, incidence of pests and diseases, an ever-increasing population, low productivity under open conditions and changes in consumer’s preference are the drivers for switching over to protected cultivation. In the recent past, protected cultivation has been gaining importance in different parts of the country, including Maharashtra. The policy implications are creating modern infrastructure, enhanced application of ICTs, maximum crop production with minimum utilization of land and institutional support to promote technology on a commercial scale.Not Availabl

Protected Cultivation of Horticultural Crops as a Livelihood Opportunity in Western India: An Economic Assessment

Protected cultivation is an innovative way of raising seasonal and off-seasonal crops under a controlled environment. Vegetables and flower crops have tremendous potential to augment productivity, generate employment, utilize land efficiently and enhance export. This study was undertaken to assess the economic feasibility of protected cultivation in the high export potential zones of the Pune and Nasik districts of Maharashtra, India, by employing project analytical tools and the regression model. The results revealed that the cultivation of flowers and vegetables under protected cultivation was highly lucrative with high investment. The protected cultivation of rose and capsicum had higher cultivation cost (300%), gross return (250%) and net return (190%) as compared to open cultivation. Moreover, most of the crops grown in polyhouses are highly profitable at different discount rates (7%, 10% and 12%), whereas a few crops were rewarding under shade net condition with subsidies. Factors such as literacy (p p p p < 0.01) were found statistically significant in technology adoption. In the context of a changing climate and shrinking land resources, water scarcity, incidence of pests and diseases, an ever-increasing population, low productivity under open conditions and changes in consumer’s preference are the drivers for switching over to protected cultivation. In the recent past, protected cultivation has been gaining importance in different parts of the country, including Maharashtra. The policy implications are creating modern infrastructure, enhanced application of ICTs, maximum crop production with minimum utilization of land and institutional support to promote technology on a commercial scale

Protected Cultivation of Horticultural Crops as a Livelihood Opportunity in Western India: An Economic Assessment

Protected cultivation is an innovative way of raising seasonal and off-seasonal crops under a controlled environment. Vegetables and flower crops have tremendous potential to augment productivity, generate employment, utilize land efficiently and enhance export. This study was undertaken to assess the economic feasibility of protected cultivation in the high export potential zones of the Pune and Nasik districts of Maharashtra, India, by employing project analytical tools and the regression model. The results revealed that the cultivation of flowers and vegetables under protected cultivation was highly lucrative with high investment. The protected cultivation of rose and capsicum had higher cultivation cost (300%), gross return (250%) and net return (190%) as compared to open cultivation. Moreover, most of the crops grown in polyhouses are highly profitable at different discount rates (7%, 10% and 12%), whereas a few crops were rewarding under shade net condition with subsidies. Factors such as literacy (p &lt; 0.05), income (p &lt; 0.05), access to subsidy (p &lt; 0.05) and the risk orientation index (p &lt; 0.01) were found statistically significant in technology adoption. In the context of a changing climate and shrinking land resources, water scarcity, incidence of pests and diseases, an ever-increasing population, low productivity under open conditions and changes in consumer&rsquo;s preference are the drivers for switching over to protected cultivation. In the recent past, protected cultivation has been gaining importance in different parts of the country, including Maharashtra. The policy implications are creating modern infrastructure, enhanced application of ICTs, maximum crop production with minimum utilization of land and institutional support to promote technology on a commercial scale