نتایج جستجو برای: multi objective 0ptimal reactive power dispatch

تعداد نتایج: 1566082  

2013
Huynh Thi Thanh Binh

We consider the Multi-Area Economic Dispatch problem (MAEDP) in deregulated power system environment for practical multi-area cases with tie line constraints. Our objective is to generate allocation to the power generators in such a manner that the total fuel cost is minimized while all operating constraints are satisfied. This problem is NP-hard. In this paper, we propose Hybrid Particle Swarm...

2013
Z. ZANDI

One of the most crucial functions in the operation and control of power system is reactive power dispatch (RPD).A hybrid Big Bang–Big Crunch (HBB–BC) optimization algorithm which consists of A Big Bang– Big Crunch algorithm combined with particle swarm optimization (PSO) is proposed in this paper in order to solve optimal reactive power dispatch (ORPD) problem. The L-index of load buses is base...

Combined heat and power production technology has energy efficiency and environmental advantages over other forms of energy supply. Solving combined heat and power economic dispatch problem considering all system demand and operational constraints determines optimal utilization of power and heat sources. In micro grids, dual dependency of combined heat and power production makes economic dispat...

Journal: :Automatika 2021

In the last few years, many offshore wind power plants are installed at North Sea and more under construction. Offshore grid would be vital in integration of future plant with main land grid. Both, multi-terminal DC AC cable systems consideration concept The reactive voltage operating point for such a network is important optimized operation. This article presents an optimization criterion cont...

2014
K. Lenin B. Ravindhranath Reddy

This paper presents a seeker algorithm for solving the multi-objective reactive power dispatch problem. Swarm intelligence algorithms have been productively applied to hard optimization problems. Seeker optimization algorithm is one of the latest members of that class of metaheuristics and the primary type of this algorithm was less successful with multimodal functions. We propose hybridization...

Journal: :International Journal of Computer Applications 2010

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