Optimal reactive power dispatch using θ-social mimic optimization (θ-SMO)

2020 ◽  
pp. 1-15
Author(s):  
Mohammad Zand ◽  
Harold R. Chamorro ◽  
Morteza Azimi Nasab ◽  
Seyed Hossein Hosseinian
Keyword(s):  
Reactive Power ◽  
Discrete Control ◽  
Solution Quality ◽  
Social Spider ◽  
Optimal Dispatch ◽  
Optimal Reactive Power Dispatch ◽  
The Social ◽  
Social Spider Algorithm ◽  
Ieee Standard ◽  
Smo Algorithm

The social mimic optimization algorithm (SMO) and its enhanced version (θ-SMO) is presented in the current study for the optimal dispatch problem of the reactive power (ORPD) with continuous and discrete control variables in the IEEE standard networks. The feasibleness and functioning of the θ-SMO and SMO algorithms are indicated for the IEEE 57-bus, and IEEE 118-bus standard networks. The outcomes of the simulation were compared, and it was shown that the optimization efficacy of these algorithms is higher than other rooted algorithms, such as optics in-spired optimization (OIO), the social spider algorithm (SSA) algorithm, and biogeography-based optimization (BBO). Results obtained for ORPD problem indicate better performance concerning the θ-SMO algorithm’s solution quality compared to original SMO algorithm and other algorithms.

scholarly journals An efficient scheduling framework for improving QoS in web service composition

2018 ◽  
Vol 7 (1.9) ◽  
pp. 107
Author(s):  
T N.Aruna ◽  
Dr Vijivinod
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Execution Time ◽  
Web Service Composition ◽  
Social Spider ◽  
Business World ◽  
The Social ◽  
Social Spider Algorithm ◽  
Productive Method

Proficient QoS-based web service determination from the various number of practically substitutable web service to convey complex undertakings are a present call from the business world. QoS-based web service’s determination is a multi-target improvement issue. Current methodologies like FCFS, Priority and Multi-queue to explain it. Be that as it may, the execution time of QoS-based web services choice to accomplish the most extreme wellness esteem is as yet a worry for handy circulated applications. This paper proposes a productive method to take care of this issue utilizing the Social Spider Algorithm (SSA).

Cuckoo Search Algorithm for Minimization of Power Loss and Voltage Deviation

2016 ◽  
Vol 5 (1) ◽  
pp. 23-34 ◽  
Author(s):  
Dung A. Le ◽  
Dieu N. Vo
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Search Algorithm ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Solution Quality ◽  
Optimal Reactive Power Dispatch ◽  
Nature Inspired Algorithm ◽  
Voltage Deviation

This paper proposes a cuckoo search algorithm (CSA) to solve the optimal reactive power dispatch (ORPD) problem in power system operation considering the power loss and voltage deviation. The proposed CSA is a nature inspired algorithm from the cuckoo species laying their eggs in the nest of other species. There is a probability of the host bird to discover the alien eggs in its nest and the host bird either destroys the strange egg or simply ignores the host and builds a new one. The advantages of the CSA method are few control parameters and high optimal solution quality. The proposed method has been tested on the IEEE 30 bus system and the result comparison has indicated that the proposed method can obtain better solution quality than many other methods. Therefore, the proposed CSA method can be an alternative method for solving the ORPD problem.

scholarly journals Optimal Reactive Power Generation for Transmission Power Systems Considering Discrete Values of Capacitors and Tap Changers

2021 ◽  
Vol 11 (12) ◽  
pp. 5378
Author(s):  
Le Chi Kien ◽  
Chiem Trong Hien ◽  
Thang Trung Nguyen
Keyword(s):  
Optimization Algorithm ◽  
Execution Time ◽  
Reactive Power ◽  
Discrete Control ◽  
Transmission Power ◽  
Control Parameters ◽  
Step Size ◽  
Solution Quality ◽  
Solution Generation ◽  
Discrete Values

In this paper, an improved coyote optimization algorithm (ICOA) is developed for determining control parameters of transmission power networks to deal with an optimal reactive power dispatch (ORPD) problem. The performance of ICOA method is superior to its conventional coyote optimization algorithm (COA) thanks to modifications of two new solution generations of COA. COA uses a center solution to generate an update step size in the first solution generation and produced one new solution by using random factors to diversify the search space in the second solution generation. By tackling the drawbacks of COA, ICOA can reduce control parameters and computation steps, shorten execution time, and provide better results. ICOA is compared to its conventional COA for three standard IEEE systems of 30-, 57-, and 118-buses with continuous and discrete control variables. Moreover, three other algorithms such as water cycle algorithm (WCA), salp swarm algorithm (SSA), and sunflower optimization algorithm (SFOA) have been also implemented for further investigation of the real performance of the proposed method. All the applied methods are metaheuristic algorithms based on population and randomization. The result comparison from the test systems has indicated that ICOA can provide higher solution quality than other methods with reasonable execution time. Therefore, ICOA is a reliable tool for finding optimal solutions of the ORPD problem.

scholarly journals A Multi-Period Optimal Reactive Power Dispatch Approach Considering Multiple Operative Goals

2021 ◽  
Vol 11 (18) ◽  
pp. 8535
Author(s):  
Jairo A. Morán-Burgos ◽  
Juan E. Sierra-Aguilar ◽  
Walter M. Villa-Acevedo ◽  
Jesús M. López-Lezama
Keyword(s):  
Reactive Power ◽  
Test System ◽  
Discrete Control ◽  
Mixed Integer ◽  
Power System Operations ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
General Algebraic Modeling System ◽  
Reactive Power Dispatch ◽  
Selection Of

The optimal reactive power dispatch (ORPD) problem plays a key role in daily power system operations. This paper presents a novel multi-period approach for the ORPD that takes into account three operative goals. These consist of minimizing total voltage deviations from set point values of pilot nodes and maneuvers on transformers taps and reactive power compensators. The ORPD is formulated in GAMS (General Algebraic Modeling System) software as a mixed integer nonlinear programming problem, comprising both continuous and discrete control variables, and is solved using the BONMIN solver. The most outstanding benefit of the proposed ORPD model is the fact that it allows optimal reactive power control throughout a multi-period horizon, guaranteeing compliance with the programmed active power dispatch. Additionally, the minimization of maneuvers on reactors and capacitor banks contributes to preserving the useful life of these devices. Furthermore, the selection of pilot nodes for voltage control reduces the computational burden and allows the algorithm to provide fast solutions. The results of the IEEE 118 bus test system show the applicability and effectiveness of the proposed approach.

scholarly journals A SOCIAL SPIDER ALGORITHM FOR PRICING A FINANCIAL OPTION: A FORWARD APPROACH BY MONTE CARLO SIMULATION

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Igor Michel Santos Leite ◽  
Grasiele Regina Duarte ◽  
Leonardo Goliatt Da Fonseca
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Reference Values ◽  
Optimal Stopping ◽  
Risk Exposure ◽  
Social Spider ◽  
The Social ◽  
Financial Derivative ◽  
Social Spider Algorithm ◽  
Market Player

An option is a type of financial derivative that creates an opportunity for a market player to minimise your risk exposure in the negotiation. The main objective is pricing this derivative. The options classified as American is quite challenging to pricing and one of the most popular options considered in the market. This paper proposes the adoption of the Social Spider Algorithm (SSA) to optimise the parameters of the optimal-stopping with the Monte Carlo Simulation (MCS) for pricing the options classified as American. The experiments were performed using a set of options values/characteristic available in the literature. The results showed the accuracy of the combination SSA+MCS when compared with reference values.

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