A Hybrid Formulation between Differential Evolution and Simulated Annealing Algorithms for Optimal Reactive Power Dispatch

Laouafi, Farida; Boukadoum, Ahcene; Leulmi, Salah

doi:10.12928/telkomnika.v16i3.8434

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…Hence, the modified total cost minimization objective function is, Minimize, The conventional SW function which consists of cost function of active power generation and benefit function of customers is now modified to include the cost function of reactive power generation. Hence, the modified SWM objective function is formulated as [21], maximize,…”

Section: Objective 1: Total Cost (Tc) Minimizationmentioning

confidence: 99%

Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

2021

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In this paper an optimal energy and reactive power dispatch problem is solved by using the ant lion optimization (ALO) algorithm by considering the total cost minimization and social welfare maximization (SWM) objectives. Two different market models are proposed in this work, i.e., conventional/sequential market clearing and the proposed/simultaneous market clearing. In each market model, two objectives, i.e., total cost minimization and SWM are considered. The conventional social welfare (SW) consists the benefit function of consumers and the cost function of active power generation. In this paper, the conventional SW is modified by including the reactive power cost function. The reactive power cost calculation is exactly same as that in the conventional practice. The most important difference is that instead of doing cost calculation in post-facto manner as in conventional practice, simultaneous approach is proposed in this work. The scientificity and suitability of the proposed simultaneous active and reactive power methodology has been examined on standard IEEE 30 bus test system.

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Section: Objective 1: Total Cost (Tc) Minimizationmentioning

confidence: 99%

Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

2021

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“…For the load flow problem which is typically formulated as a set of non-linear equations as functions of bus voltages has taken some advantage. The contributions of optimal power flow are considred in [14], the control of MG in [15], and quality of power (power factor, total harmonic distortion) as in [16]. Stochastic demand has been developed and presented in [17]- [19], those authors used stochastic, fuzzy, and probability programming techniques to model the uncertainties.…”

Section: Introductionmentioning

confidence: 99%

“…. Based on the dynamic programming principle, the following theorem is used for the generalization of the value function in(14): Control problem satisfies the system of partial differential equations:…”

mentioning

confidence: 99%

Stochastic control for optimal power flow in islanded microgrid

Diep-Thanh¹,

Nguyen-Phung²,

Nguyen-Duc³

2019

IJECE

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<p>The problem of optimal power flow (OPF) in an islanded mircrogrid (MG) for hybrid power system is described. Clearly, it deals with a formulation of an analytical control model for OPF. The MG consists of wind turbine generator, photovoltaic generator, and diesel engine generator (DEG), and is in stochastic environment such as load change, wind power fluctuation, and sun irradiation power disturbance. In fact, the DEG fails and is repaired at random times so that the MG can significantly influence the power flow, and the power flow control faces the main difficulty that how to maintain the balance of power flow? The solution is that a DEG needs to be scheduled. The objective of the control problem is to find the DEG output power by minimizing the total cost of energy. Adopting the Rishel’s famework and using the Bellman principle, the optimality conditions obtained satisfy the Hamilton-Jacobi-Bellman equation. Finally, numerical examples and sensitivity analyses are included to illustrate the importance and effectiveness of the proposed model.</p>

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“…However, in a deregulated electricity market, congestion on transmission lines maybe unavoidable because of insufficient capacity of lines [2]. Moreso, under voltages and over voltages in the lines lead to poor power quality and lack of stable power system [3]. Not with standing, power engineers during planning stage, give a margin or forecast to accommodate future load demand on the network, however, development brings about increase in the load demand which will outgrow the specified margin at some points.…”

Section: Introductionmentioning

confidence: 99%

Critical Review of Different Methods for Siting and Sizing Distributed-generators

et al. 2018

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Due to several benefits attached to distributed generators such as reduction in line losses, improved voltage profile, reliable system etc., the study on how to optimally site and size distributed generators has been on the increase for more than two decades. This has propelled several researchers to explore various scientific and engineering powerful simulation tools, valid and reliable scientific methods like analytical, meta-heuristic and hybrid methods to optimally place and size distributed generator(s) for optimal benefits. This study gives a critical review of different methods used in siting and sizing distributed generators alongside their results, test systems and gaps in literature.

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A Hybrid Formulation between Differential Evolution and Simulated Annealing Algorithms for Optimal Reactive Power Dispatch

Abstract: The aim of this paper is to solve the optimal reactive power dispatch (ORPD)

Cited by 3 publications

References 16 publications

Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

Stochastic control for optimal power flow in islanded microgrid

Critical Review of Different Methods for Siting and Sizing Distributed-generators

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