Demand Response: A Promising Solution to DG Allocation Problem

Publish Year: 1396
نوع سند: مقاله ژورنالی
زبان: Persian
View: 138

This Paper With 10 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_MJEE-11-3_003

تاریخ نمایه سازی: 15 اسفند 1401

Abstract:

In this paper, a comprehensive algorithm using modified invasive weed optimization is introduced for allocating distribution generation (DG) sources along with considering demand response (DR). Three aspects such as technical, economic and environmental are taken to account to define the optimized size and location for DG or DR. In addition, a new voltage fitness function is proposed for better improvisation of voltage profile. The study is done on ۳۰-bus IEEE distribution system and to examine the proposed algorithm, three other optimization algorithms such as GA, PSO and DE are used. The simulation is carried out in MATLAB which shows excellent performance of proposed algorithm.

Keywords:

modified invasive optimization algorithm , no agencies , en , Demand Response , distribution generation , DG allocation

Authors

Soheil Dolatabadi

University of Tabriz

Saeed Ghassem Zadeh

University of Tabriz

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • G. Pepermans, J. Driesen, D. Haeseldonckx, R. Belmans and W. ...
  • T. Ackermann, G. Andersson and L. Söder, "Distributed generation: a ...
  • W. El-Khattam and M. Salama, "Distributed generation technologies, definitions and ...
  • T. Niknama, S. I. Taheria, J. Aghaeia, S. Tabatabaeib and ...
  • Z. Moravej and A. Akhlaghi, "A novel approach based on ...
  • S. Abdi and K. Afshar, "Application of IPSO-Monte Carlo for ...
  • M. Moradi and M. Abedini, "A combination of genetic algorithm ...
  • Y. Atwa and E. El-Saadany, "Probabilistic approach for optimal allocation ...
  • A. Kumar and W. Gao, "Optimal distributed generation location using ...
  • El-Saadany and Y. A. a. E.F., "Probabilistic approach for optimal ...
  • S. Kaur, G. Kumbhar and J. Sharma, "A MINLP technique ...
  • A. Singha and S. Paridab, "A novel hybrid approach to ...
  • D. Gautam and N. Mithulananthan, "Optimal DG placement in deregulated ...
  • "Benefits of demand response in electricity markets," U.S. Department of ...
  • Y. Gong, Y. Cai, Y. Guo and Y. Fang, "A ...
  • A. Mehrabian and C. Lucas, "A novel numerical optimization algorithm ...
  • A. Basak, S. Pal, S. Das, A. Abraham and V. ...
  • R. Giri, A. Chowdhury, A. Ghosh, S. Das, A. Abraham ...
  • P. Pahlavani, M. R. Delavar and A. U. Frank, "Using ...
  • Z. D. Zaharis, C. Skeberis, T. D. Xenos, P. I. ...
  • G. G. Roy, S. Das, P. Chakraborty and P. N. ...
  • E. IO, Electric energy system theory – an introduction, McGraw-Hill, ...
  • N. Jain, S. Singh and S. Srivastava, "PSO based placement ...
  • X. Fu, H. Chen, R. Cai and P. Yang, "Optimal ...
  • A. El-Zonkoly, "Optimal placement of multi-distributed generation units including different ...
  • A. Elmitwally, "A new algorithm for allocating multiple distributed generation ...
  • K.-y. Liua, W. Shenga, Y. Liub, X. Menga and Y. ...
  • M. I. Blanco, "The economics of wind energy," Renewable and ...
  • S. Reichelstein and M. Yorston, "The prospects for cost competitive ...
  • "Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell ...
  • M. Ehyaei and A. Mozafari, "Energy, economic and environmental (۳E) ...
  • M. Ellis, M. von Spakovsky and D. Nelson, "Fuel cell ...
  • M. Shahidehpour and Y. Wang, Communication and Control in Electric ...
  • "Costs and Benefits of DG Connections to Grid System – ...
  • نمایش کامل مراجع