Multi-objective ORPD Considering Different Load Models for Active Distribution Networks

سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 164

فایل این مقاله در 20 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_IECO-4-2_005

تاریخ نمایه سازی: 20 تیر 1401

چکیده مقاله:

Secure and economical operation of distribution networks needs the management of reactive power resources. Optimal Reactive Power Dispatch (ORPD) optimally manages the reactive power scheduling of generators and distribution generations as well as the Reactive Power Compensation (RPC) devices. This paper investigates the effect of load models on the multi-objective ORPD problem in active distribution networks. Moreover, a modified Grey Wolf Optimizer (GWO), which is called in this paper as Civilized GWO (CGWO), is introduced to solve the ORPD problem. The proposed strategy including multi-objective function, various load models, DG’s reactive power, RPCs and the introduced CGWO, is tested on standard IEEE ۳۳- and ۶۹-bus distribution systems. The obtained results indicate the load models have significant impact on the cost function amount. Moreover, the performance of the proposed algorithm is evaluated using ten standard benchmark functions. The optimization results demonstrate the robustness of the introduced optimization algorithm and its ability in finding the better solutions compared to the Particle Swarm Optimization (PSO), Exchange Market Algorithm (EMA), and original GWO.

کلیدواژه ها:

Civilized grey wolf optimizer ، load modelling ، Multi-objective optimization ، optimal reactive power dispatch

نویسندگان

Saman Hosseini-Hemati

Electrical Engineering Department, Engineering Faculty, Razi University, Kermanshah,

Shahram Karimi

Department of Electrical Engineering, Razi University, Kermanshah, Iran

Gholam Hossein Sheisi

Electrical Engineering Department, Engineering Faculty, Razi University, Kermanshah,

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله 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 مقاله لینک شده اند :
  • Shefaei A, Vahid-Pakdel MJ, Mohammadi-ivatloo B. “Application of a hybrid ...
  • OualidMedani K ben, Sayah S, Bekrar A. “Whale optimization algorithm ...
  • Atwa YM, El-Saadany EF, Salama MMA, Seethapathy R. “Optimal renewable ...
  • Dixit M, Kundu P, Jariwala HR. “Optimal integration of shunt ...
  • Barati H, Shahsavari M. “Simultaneous optimal placement and sizing of ...
  • Cheng S, Chen M-Y. “Multi-objective reactive power optimization strategy for ...
  • Wang Y, Zhang P, Li W, Xiao W, Abdollahi A. ...
  • Granville S. “Optimal reactive dispatch through interior point methods”. IEEE ...
  • Quintana VH, Santos-Nieto M. “Reactive-power dispatch by successive quadratic programming”. ...
  • Granada M, Rider MJ, Mantovani JRS, Shahidehpour M. “A decentralized ...
  • Shaw B, Mukherjee V, Ghoshal SP. “Solution of reactive power ...
  • Ayan K, Kılıç U. “Artificial bee colony algorithm solution for ...
  • Ettappan M, Vimala V, Ramesh S, Kesavan VT. “Optimal reactive ...
  • Mugemanyi S, Qu Z, Rugema FX, Dong Y, Bananeza C, ...
  • Duman S, Sonmez Y, Guvenc U, Yorukeren N. “Optimal reactive ...
  • Ghasemi M, Taghizadeh M, Ghavidel S, Aghaei J, Abbasian A. ...
  • Sulaiman MH, Mustaffa Z, Mohamed MR, Aliman O. “Using the ...
  • Raj S, Bhattacharyya B. “Reactive power planning by opposition-based grey ...
  • Mukherjee A, Mukherjee V. “Solution of optimal reactive power dispatch ...
  • Basu M. “Quasi-oppositional differential evolution for optimal reactive power dispatch”. ...
  • Basu M. “Multi-objective optimal reactive power dispatch using multi-objective differential ...
  • Rajan A, Malakar T. “Exchange market algorithm based optimum reactive ...
  • Abaci K, Yamaçli V. “Optimal reactive-power dispatch using differential search ...
  • Khazali AH, Kalantar M. “Optimal reactive power dispatch based on ...
  • Zhou B, Chan KW, Yu T, Wei H, Tang J. ...
  • Shaheen AM, El-Sehiemy RA, Farrag SM. “Integrated strategies of backtracking ...
  • Mouassa S, Bouktir T, Salhi A. “Ant lion optimizer for ...
  • Bingane C, Anjos MF, Digabel SL. “Tight-and-cheap conic relaxation for ...
  • Davoodi E, Babaei E, Mohammadi-ivatloo B, Rasouli M. “A novel ...
  • Tran HV, Pham TV, Pham LH, Le NT, Nguyen TT. ...
  • Li Y, Wang Y, Li B. “A hybrid artificial bee ...
  • Ghasemi M, Ghanbarian MM, Ghavidel S, Rahmani S, Moghaddam EM. ...
  • Lenin K, Reddy BR, Suryakalavathi M. “Hybrid Tabu search-simulated annealing ...
  • Shareef SKM, Rao RS. “Optimal reactive power dispatch under unbalanced ...
  • Hongxin L, Yinhong L, Jinfu C. “Adaptive multiple evolutionary algorithms ...
  • Singh RP, Mukherjee V, Ghoshal SP. “Optimal reactive power dispatch ...
  • Zhang M, Li Y. “Multi-objective optimal reactive power dispatch of ...
  • Ansari J, Gholami A, Kazemi A. “Holonic structure: a state-of-the-art ...
  • Zheng W, Wu W, Zhang B, Sun H, Liu Y. ...
  • Naderi E, Narimani H, Fathi M, Narimani MR. “A novel ...
  • Ghasemi M, Ghavidel S, Ghanbarian MM, Habibi A. “A new ...
  • Chen G, Liu L, Zhang Z, Huang S. “Optimal reactive ...
  • Jangir P, Parmar SA, Trivedi IN, Bhesdadiya RH. “A novel ...
  • Mehdinejad M, Mohammadi-Ivatloo B, Dadashzadeh-Bonab R, Zare K. “Solution of ...
  • Srivastava L, Singh H. “Hybrid multi-swarm particle swarm optimisation based ...
  • Zhang J, Liu N, Lu X, Wu M. “Two-layer reactive ...
  • Zhou H, Guo J, Zhou R, Gu K, Qian L. ...
  • Sheng W, Liu K, Pei H, Li Y, Jia D, ...
  • Varadarajan M, Swarup KS. “Differential evolution approach for optimal reactive ...
  • Singh D, Singh D, Verma KS. “Multiobjective optimization for DG ...
  • Bhattacharya A, Roy PK. “Solution of multi-objective optimal power flow ...
  • Mirjalili S, Mirjalili SM, Lewis A. “Grey wolf optimizer”. Adv ...
  • Ghorbani N, Babaei E. “Exchange market algorithm”. Appl Soft Comput ...
  • MATPOWER package ۲۰۱۹. https://matpower.org/ ...
  • Baran ME, Wu FF. “Network reconfiguration in distribution systems for ...
  • نمایش کامل مراجع