A Probabilistic Multi-Objective Approach for Power Flow Optimization in Hybrid Wind-Based Power Systems Using Grasshopper Optimization Algorithm

A Probabilistic Multi-Objective Approach for Power Flow Optimization in Hybrid Wind-Based Power Systems Using Grasshopper Optimization Algorithm

Barun Mandal (Kalyani Government Engineering College, India) and Provas Kumar Roy (Kalyani Government Engineering College, India)
Copyright: © 2020 |Pages: 26
DOI: 10.4018/IJSIR.2020100103


This article introduces a grasshopper optimization algorithm (GOA) to efficiently prove its superiority for solving different objectives of optimal power flow (OPF) based on a mixture thermal power plant that incorporates uncertain wind energy (WE) sources. Many practical constraints of generators, valve point effect, multiple fuels, and the various scenarios incorporating several configurations of WEs are considered for both singles along with multi-objectives for the OPF issue. Within the article, the considered method is verified on two common bus experiment systems, i.e. IEEE 30-bus as well as the IEEE 57-bus. Here, the fuel amount minimization and emission minimization are studied as the primary purposes of a GOA-based OPF problem. However, the proposed algorithm yields a reasonable conclusion about the better performance of the wind turbine. Computational results express the effectiveness of the proposed GOA approach for the secure and financially viable of the power system under various uncertainties. The comparison is tabulated with the existing algorithms to provide superior results.
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1. Introduction

Optimal power flow (OPF) is special of the primary comprehensive mechanism used in the power system planning, control, process and competitive electricity business market. Its primary objective is to propose high-class electrical power or energy at a nominal cost. Conventional based thermal power station discharges carbon dioxide (CO2), sulphur oxides (SOx) and nitrogen oxides (NOx) into the air. Furthermore, the polluted emission is the mainly preferred calculation as its ease of discharge. Different economic aspects of wind power integration have been considered in the current literature. Huge integrations of the wind energy production and full utilization of carbon detain facilities on coal-fired units can remarkably decrease the CO2 emitted into the air. As compared to the usual generator, the wind-based turbine has the benefit of reducing the dependence on conventional fuels, pollutant emission and the transmission power losses. Widespread investigations have been devoted to the synchronized optimization difficulty in a hybrid generating station. A good suggestion, but the incorporation of a considerable amount of irregular natural sources like wind energy has carefully balanced full awareness for simple, fresh and economic aspects. Although dissimilar usual power systems the natural random and inconsistency of wind power have most confused for power system process (Su, Wang, & Roh, 2014). Besides, the operation of large-scale energy storage in the system to create use of excess energy by optimizing its discharge and renew cycles is a challenge. To minimize operating costs, it usually increases the application for more competent conventional generation groups, which can guidance to superior fuel consumption, lower level fuel usage, and substantial compact pollutants. Many researchers and practitioners have studied energy storage in power systems. With the expansion of science and technologies, the larger capacity of modern wind power station can be as good as to that of traditional other units. Wind power integration and generation have confirmed to be one of the vital economic and established non-conventional energy technologies. The advancement of wind potential in the world has expanded exponentially in the previous decades. However, only a few numerous investigations have been made at the forecast of wind activity for service in controlling the possible wind capacity. The process requires definite hourly wind velocity data recorded over an extended phase for the particular geographic site to construct a wind speed simulation model for the specific site. Among the all renewable energy, the wind has shown massive penetration in power systems around the globe. The mixture of wind power production with higher than twenty percent entrance layers requires new administration and spinning reserve effects for grid constancy purposes. With the increase of wind acceleration, the power developed by the turbine will boost as the cubic of the wind velocity. However, the unpredictability environment of wind velocity follows to the intermittent of wind energy generation of wind turbines. Besides all the sustainable sources, the wind has owned strongly well-recognized it’s as a widespread opportunity for humankind (Council GWE, 2012). The original wind turbines to produce electricity in the countryside U.S.A. was installed in 1890. The majority of this renewable energy gets from wind as other renewable sources are not appropriate for mass power generation.

The Monte Carlo, interval and robust maximizations are amid the theoretical data processing methods which are projected in (Quan, Srinivasan, Khambadkone, & Khosravi, 2015; Shabanzadeh, Sheikh-El-Eslami, & Haghifam, 2015; Bai, Li, Cui, Jiang, Sun, & Zhu, 2016), to employ the unpredictability related close to wind power production, electricity market prices and load values. Incorporating wind power into the existing conventional units introduces various threats to the process, control and operating actions for all services. Throughout the world, projects connecting extensive penetration of wind potential toward the network additional offshore wind plant establishment are massively gaining attention (Bonou, Laurent, & Olsen, 2016). The lesser value of wind penetration and exactly no polluted gas discharge are the main objectives of wind potential.

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