Annapurna Bhargava

Power law-based local search in spider monkey optimisation for lower order system modelling

ABSTRACT The nature-inspired algorithms (NIAs) have shown efficiency to solve many complex real-world optimisation problems. The efficiency of NIAs is measured by their ability to find adequate results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This paper presents a solution for lower order system modelling using spider monkey optimisation (SMO) algorithm to obtain a better approximation for lower order systems and reflects almost original higher order systems characteristics. Further, a local search strategy, namely, power law-based local search is incorporated with SMO. The proposed strategy is named as power law-based local search in SMO (PLSMO). The efficiency, accuracy and reliability of the proposed algorithm is tested over 20 well-known benchmark functions. Then, the PLSMO algorithm is applied to solve the lower order system modelling problem.

Optimal power flow analysis using Lévy flight spider monkey optimisation algorithm

Optimal power flow OPF is the most requisite tool in the power system analysis. The OPF is relatively a difficult constrained optimisation problem and broadly solved by conventional as well as modern intelligent methods. In this paper the authors proposed a Levy flight spider monkey optimisation LFSMO algorithm to solve the standard OPF problem for IEEE 30-bus system, which is proposed to improve the exploitation capability of spider monkey optimisation SMO algorithm. The performance of LFSMO is evaluated by testing it over 25 benchmark functions.

Optimal placement and sizing of capacitor using Limaçon inspired spider monkey optimization algorithm

The power system is a complex interconnected network which can be subdivided into three components: generation, distribution, and transmission. Capacitors of specific sizes are placed in the distribution network so that losses in transmission and distribution is minimum. But the decision of size and position of capacitors in this network is a complex optimization problem. In this paper, Limaçon curve inspired local search strategy (LLS) is proposed and incorporated into spider monkey optimization (SMO) algorithm to deal optimal placement and the sizing problem of capacitors. The proposed strategy is named as Limaçon inspired SMO (LSMO) algorithm. In the proposed local search strategy, the Limaçon curve equation is modified by incorporating the persistence and social learning components of SMO algorithm. The performance of LSMO is tested over 25 benchmark functions. Further, it is applied to solve optimal capacitor placement and sizing problem in IEEE-14, 30 and 33 test bus systems with the proper allocation of 3 and 5-capacitors. The reported results are compared with a network without a capacitor (un-capacitor) and other existing methods.

Fibonacci series-based local search in spider monkey optimisation for transmission expansion planning

The power system is a complex interconnected network which consists of four components: generation, distribution, transmission, and load. The loads may be varying in nature. For supplying these loads, with an aim of minimum losses in transmission and distribution, the additional transmission lines are required to be added for expansion. To find out the optimum locations of these additional lines are a complex and challenging task. Swarm intelligence motivated algorithms have been proved to be efficient to deal this type of optimisation problem. Therefore, this work applies a recent swarm intelligence motivated algorithm namely, spider monkey optimisation (SMO) to identify the optimum locations for the additional lines in the system. Further, to augment the solution search capacity of SMO algorithm, a Fibonacci series-based local search (FLS) is proposed and incorporated with SMO. The modified SMO is named as Fibonacci inspired spider monkey optimisation algorithm (FSMO). The authenticity of the suggested FSMO is analysed through statistical analysis over 20 benchmark functions. Further, both the algorithms, FSMO and SMO are applied to solve the transmission expansion planning (TEP) problem for IEEE-24 bus system. The reported results are judged against other state-of-art algorithms for solving TEP issues.

Optimal design of PIDA controller for induction motor using Spider Monkey Optimization algorithm

Induction motors are widely used in power system due to their robustness, even though induction motors are highly non-linear and their control is quite complicated. Proportional integral derivative acceleration PIDA controller is used with induction motor for improving its efficiency. But, finding optimal PIDA controller parameters is a complex task and cannot be easily dealt by the available analytical strategies. As the nature inspired algorithms NIAs have shown their accuracy and efficiency to solve such complicated optimization problems, in this paper, a recent NIA, namely Spider Monkey Optimization SMO algorithm is used for finding the optimal PIDA controllers parameters for controlling the induction motor. As per the best of authors knowledge, it is the first attempt to design optimal PIDA controllers parameters for induction motor through any swarm intelligence motivated algorithm.

Resiliency in offshore wind farm communication networks

Wind energy is getting a considerable attention worldwide from the fraternity of the power system engineers as clean and green energy that can help reduce the carbon content and limit dependence on conventional fossil fuels. This has lead to the development of offshore wind farms in last few years. Real time monitoring and control of offshore wind farm require high speed, reliable, fault resilient, and cost effective communication infrastructure. The availability and reliability of wind energy mainly depend on resilient communication network. This can be achieved through a combination of redundancy and Quality of Service (QoS). In this paper, we have proposed fault resilient architecture of the medium scale offshore wind farm and simulated different fault scenarios based on IEC 61400-25 standard in OPNET. The wind farm communication is based on Transmission Control Protocol and Internet Protocol. The performance has been analysed with respect to QoS in terms of latency, traffic drop, and traffic congestion.

Impact of integration of solar and wind power on small signal stability using wavelet transform

This paper investigates the consequences of integration of solar PV and wind power generation on the small signal stability of power system. Standard benchmark IEEE 14 bus system is selected for study. Impact has been analyzed by substituting the conventional synchronous generator with Solar Photo-Voltaic Generation (SPVG) and Doubly Fed Induction Generator (DFIG) wind turbines separately as well as jointly. The effect of varying penetration level of solar and wind power is also investigated. Eigenvalue analysis is used to compute the frequency and damping factor of oscillatory components that arise due to small disturbances. The oscillatory modes are also identified using discrete wavelet transform, a spectral analysis technique. Power spectral density and time frequency curves are used to extract hidden frequency information from the signal. The different cases have been simulated in MATLAB based PSAT, wavelet, and time frequency signal analysis toolboxes.

Dynamic performance improvement of wind power integrated grid using TCP/IP communication network

The increasing penetration of wind power makes the power system more and more complicated, deregulated, and distributed. Thus, the time critical protection needs to be implemented in proper coordination. This requires real time monitoring and controlling of highly non linear modern electric grid, which can be achieved through Wide Area Measurement System (WAMS). Successful implementation of WAMS requires incorporation of fast and reliable modern communication technologies in the power system. In this paper, the systems dynamic performance is examined with the incorporation of communication technologies. The active power system with 9 MW wind farm is used for the study. WAMS and wind farm communication are based on IEEE standard C37.118.2 and IEC 61400-25 respectively. The different fault scenarios have been simulated and performance is analyzed with the incorporation of communication technologies. The power system has been simulated in MATLAB while communication based simulations have been performed in OPNET. Simulation results clearly show that the incorporation of communication network can avoid wind farm tripping even in severe fault conditions.

Static Synchronous Compensator Damping Controller Design Using Fast Output Sampling Feedback Technique

Abstract In this article, the design of a damping controller for a static synchronous compensator using a fast output sampling feedback technique is presented. The proposed technique needs only the information of locally available signals, and moreover, by this technique, a very simple controller in the form of a simple gain matrix is obtained, which is effective over a range of operating conditions. Because of these two reasons, the control system designed by the proposed technique is very easy to implement. The effectiveness of the proposed technique has been validated through detailed non-linear simulation studies on the 10-machine 39-bus New England system.