کچھ مصنف کے بارے میں
بسم اللہ الرحمن الرحیم نحمدہٗ و نصلی علی رسولہِ الکریم
قانون ِقدرت ہے کہ جب دنیا میں صدق و حقیقت پر خواہش اور نفس پرستی کے غبار اور پردے پڑ جاتے ہیں تو اللہ تعالیٰ اپنے بندے پیدا کرتا ہے جو صدق و سچائی اور حقیقت کو دنیا میں روشن کر دیتے ہیں۔
ایسے ہی میرے تایا زاد حافظ محمد اکرم راشدؔ صاحب کو اللہ تعالیٰ نے گو نا گوں صفات سے نوازا ہے۔ عارف والا کے نواحی گائوں 37 ای بی میں 1962 کے اوائل میں علمی خانوادے میں آنکھ کھولی والدِ محترم حافظ اللہ یار رحمۃ اللہ علیہ عالم باعمل تھے ابتدائی تعلیم اُ ن سے حاصل کی ۔ پانچ سال کی عمر میں والدِ محترم داغِ مفارقت دے گئے ۔ اُس کے بعد حقیقی چچا میرے والدِ محترم حضرت علامہ حافظ شیر علی رحمتہ اللہ علیہ نے آغوشِ محبت میں لیا اور علم کی تکمیل تک ساتھ دیا ۔ میٹرک کر نے کے بعد علمی پیاس بجھانے کے لئے کراچی گئے وہاں علم کی پیاس بجھاتے ہوئے علم کے سمندر بن گئے ۔ فاضل درسِ نظامی ، فاضل طب وجراحت، فاضل عربی، فاضل اردو کرنے کے بعد پنجاب گورنمنٹ میں بطورِ مدرس تعینات ہوئے ۔ دورانِ سروس ایم ۔اے ایجوکیشن ،ایم اے اسلامیات اور ایم اے عربی (گولڈ میڈلسٹ) پاس کیا۔
علمی زندگی میں روزنامہ ایکسپریس ، نوائے وقت میں مضامین لکھے اور عوام کی کثیر تعداد نے مضامین کو پسند کیا۔تاحال عارفوالا کے نواحی گائو ں میں ہیڈ مدرس ہیں اور عارفوالا شہر میں بطورِ خطیب خدمات سر انجام دے رہے ہیں ۔ حافظ صاحب اپنے حلقہ احباب میں اپنی خوش اخلاقی اور بذلہ سنجی کی وجہ سے بہت مقبول ہیں ۔ اِن کی مذکورہ کتاب اُن کے علمی تبحّر کی گواہ ہے اللہ تعالیٰ اُن...
In this universe, there are countless blessings of ALLAH almighty. All the above among these blessings is the way of guidance chosen for the mankind. The way which is close to the human nature and easily understandable. In this way, ALLAH the merciful sends his messenger and a divine text as well. There is no discrimination between dark and light, human and animal, good and evil before the arrival of the prophets. The souls of the human beings are at thirst for knowledge or spiritual light and the prophets quenched this thirst. This paper explores all the aspects of prophecy aimed values, specification, need, Norms, sayings, Biography with reference of the Tarjuman ul Quran literature.
Unit Commitment is an important and vital optimization task in a power control centre. After load forecasting it is the second step in the planning process. It consists of two linked optimization problems. It comprises unit on/off scheduling problem and the economic dispatch sub-problem. The on/off scheduling problem is a 0-1 combinatorial problem with equality and inequality constraints, while the economic dispatch sub-problem is a nonlinear constrained optimization problem. Unit commitment is a nonlinear, large scale, combinatorial, constrained optimization problem. The complete unit commitment optimization problem is to minimize the total production cost (TPC) of utility in such a way that the constraints such as load demand, spinning reserve, minimum and maximum power limits of units, minimum up (MUT) and minimum down times (MDT) are satisfied. Therefore, based on the forecasted load demand, preparing proper on/off schedule of generators can result in cost saving for utility. It is much more difficult problem to solve due to its high dimensionality. The present work is based on the scheduling of thermal units. The generation of initial feasible UC schedules is much important, for the UCP. When initial feasible schedules (generation > load + spinning reserve) are generated randomly, it is difficult to get feasible schedules for the whole daily forecasted load curve. In this work initial schedule is generated by considering the peak, off peak load of the forecasted load curve, must run and must out units based on a new priority list method. The proposed method is very efficient and fast in generating initial unit commitment schedules. In this work the MUT and MDT constraints are checked and repaired by using bit change operator. The trial solutions were generated by taking upper four units in the priority list at each hour to avoid entrapment in local minimum.vi In the unit commitment problem, the economic load dispatch (ELD) sub-problem is an intensive part and its calculations consume a large amount of time. Convex economic dispatch using load to efficient unit and incremental cost criterion methods have been solved. In this work, the ELD calculation for non convex problem has been solved using genetic algorithm (GA) based on real power search method. In the present work, three hybrid approaches have been developed for the convex and non-convex cost functions and applied first time to solve the unit commitment problem. To implement these algorithms a flexible and extensible computational framework has been developed to run in visual C++ environment. The proposed algorithms are (i) “hybrid of dynamic programming, particle swarm optimization and artificial neural network algorithms (DP-PSO- ANN) for convex cost function, (ii) “Neuro-Genetic hybrid approach for non-convex cost function” and (iii) “hybrid of full load average production cost and maximum power output, for convex and non convex cost functions”. For comparison the neural network trained with back propagation learning rule has also been developed. The proposed models have been tested on IEEE 3 and 10 units standard test systems. The significant improvement in the total production cost shows the promise of these hybrid models. National utility system, National Transmission and despatch Company (NTDC) has been reviewed with reference to its operation problems. Four test systems consisting of 12, 15, 25 and 34 units of NTDC system have been tested.
