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Stochastic optimization for retailers with distributed wind generation considering demand response

Journal of Modern Power Systems and Clean Energy 2018年第4期6卷 733-748页

作者： Hessam GOLMOHAMADI reza keypour Faculty of Electrical and Computer Engineering Semnan University

In this paper, a multi-stage stochastic model is presented for a renewable distributed generation(RDG)-owning retailer to determine the trading strategies existing in a competitive electricity market. Uncertainties associated with wholesale electricity market price, clients' consumption and power output of wind resources are considered through auto regressive integrated moving average(ARIMA) approach. In the proposed method, three trading floors are addressed for the retailer to hedge against the uncertainties. In the first stage, the retailer participates in day-ahead market to supply the clients and in the second stage, intraday market is addressed to allow the retailer to modify the schedule of its clients' consumption/RDG production. Due to unfavorable uncertainties, especially in renewable power production, real-time market is considered in the third stage to diminish the uncertainty at power delivery time. Cost function of wind resources considering capital, operation and maintenance(O&M) cost is incorporated in the objective function to increase the applicability of the mechanism. The proposed approach is formulated for risk-averse and risk-taker retailer through conditional value at risk(CVaR) approach. In order to study the impact of retail strategies on consumption patternand consumers' electricity bills, time-of-use(TOU)demand response programs are discussed in this paper.Formulating the problem, the mixed integer non-linear programming(MILNP) problem is transformed into mixed integer linear programming(MILP) by jointly using decomposition and disjunctive constraints. Finally, a case study containing wind power resources, energy storage system and retailer is considered to analyze the proficiency of the proposed approach.

关键词： Renewable Retailer Stochastic Uncertainty Demand response

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A Study on the Effects of Solar Tracking Systems on the Performance of Photovoltaic Power Plants

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Journal of Power and Energy Engineering 2014年第4期2卷 718-728页

作者： Shahriar Bazyari reza keypour Shahrokh Farhangi Amir Ghaedi Khashayar Bazyari Semnan University Semnan Iran University of Tehran Tehran Iran Darun Branch Islamic Azad University Shiraz Iran Sharif University of Technology Tehran Iran

The use of renewable energy resources to produce the electricity is a rising trend in various countries worldwide. This is especially because these energies do not produce the greenhouse gases;therefore, don’t become a destructive factor on the ozone layer and the environment. Besides, the fossil energies are always exposed to price changes and will eventually end, while the renewable energies don’t pose such problems and are freely acquired from the nature. Some of the most important of these reproducible energy resources are the energies of the wind and the solar energy. The generation capability of a photovoltaic power plant is largely dependent on the intensity of the sun radiation. On the other hand, the changing of position causes the sun to have a variable shining intensity in different seasons and different times of the year;therefore, some of the solar power plants possess solar tacking systems. This paper studies the different types of photovoltaic systems including fixed panel, photovoltaic farms equipped to the single axis and double axis tracking systems and their effects on the performance of the solar power plants. In order to determine the position of the sun in the sky, the zenith and azimuth angles of it are used to extract the relations between the different parameters of the sun radiation. The resulted parameters are used in the modeling of the single axis and double axis systems. In the paper it is utilized from the sun parameters in Qeshm Island of Iran in the summer of 2011.

关键词： Azimuth and Zenith Angles Photovoltaic Farm Single and Double Axis Sun Tracker Systems

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含吡啶的大环席夫碱锰(Ⅱ)配合物:合成、表征及抗菌性质(英文)

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无机化学学报 2014年第7期30卷 1733-1740页

作者： keypour Hassan Liyaghati-Delshad Mozhdeh rezaeivala Majid Khavasi Hamid reza Faculty of Chemistry Bu-Ali Sina University Department of Chemical Engineering Hamedan University of Technology Department of Chemistry Shahid Beheshti University G.C. Evin

在Mn髤模板作用下,2,6-diacetylpyridine(DAP)及合适链状胺化合物通过[1+1]环缩合反应,合成了3个大环席夫碱配合物,并进行了红外、元素分析、质谱及电导率等表征及研究。测得了配合物[MnL1(CH3CN)](ClO4)2的晶体结构,中心离子呈现出稍... 详细信息

在Mn髤模板作用下,2,6-diacetylpyridine(DAP)及合适链状胺化合物通过[1+1]环缩合反应,合成了3个大环席夫碱配合物,并进行了红外、元素分析、质谱及电导率等表征及研究。测得了配合物[MnL1(CH3CN)](ClO4)2的晶体结构,中心离子呈现出稍微扭曲的五角锥配位构型。研究了配合物对S.aureus(ATCC 6633),B.cereus(ATCC 7064),C.xerosis(ATCC 373)(gram-positive bacterial strains),E.coli(PTCC 10009),K.pneuomoniae(MTCC 109),and P.vulgaris(lio)(gram-negative bacterial strains)的抗菌活性。结果显示[MnL3](ClO4)2抗菌活性明显优于[MnL1(CH3CN)](ClO4)2and[MnL2](ClO4)2。在25℃条件下0.1 mol·L-1 KCl溶液中,通过电位计量法测定了化合物的质子化常数。

关键词：大环配体席夫碱锰(Ⅱ)配合物抗菌活性质子化常数

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