Generation Extension Arrangement in Power Engineering Networks Using Chaotic Grasshopper Optimization Algorithm: Concepts, Solutions, and Management

Generation Extension Arrangement in Power Engineering Networks Using Chaotic Grasshopper Optimization Algorithm: Concepts, Solutions, and Management

Suriya Ponnambalam (Annamalai University, India), Subramanian Srikrishna (Annamalai University, India), Ganesan Sivarajan (Government College of Engineering, Salem, India) and Abirami Manoharan (Government College of Engineering, Srirangam, India)
DOI: 10.4018/978-1-7998-1230-2.ch012

Abstract

Electric utilities over the domain affected with ecological issues associated with standard fossil fuel-established plants are examining more within the potentiality of interposing energy sources type of plants into the system as an alternative. Integration of Demand Side Management (DSM) and Supply Side Management (SSM) is required in a rational power system planning that implies concurrent deliberation of both qualitative and quantitative problems like costs, fuel mix, and reliability of power supply. This chapter examines the economic and environmental ability of power supplies initiation into an existing peak deficit power system, incorporating both DSM and SSM plans. The Generation Expansion Planning (GEP) study is carried out in the power system for the period of 24 years planning horizon.
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Introduction

Demand for electric power carries on rising every day, therefore an acceptable strategic planning for the hike of the power system is critical in future. There is a prerequisite to fabricate new assets in the sort of generation plants and transmission lines while thinking about the impacts of these new assets on power system operations and long-haul motion of the economy. Therefore, in modern years, there has been a vast inflation in the consumption of electrical energy. Hence, the GEP has been viewed as a vital task for a long time. GEP can be performed for short, medium, and long-term periods (Alhelou et al., 2019; Makdisie et al., 2018; Alhelou et al., 2018; Alhelou et al., 2016; Haes Alhelou et al., 2019; Njenda et al., 2018).

The decision power system planners make are where to locate new investment, the capacity of new investment, the timing of new investment and what type of technology should be installed. One fourth most important task to be done before planning is performed load forecasting. The electric load forecasts for the complete planning period; planning constraints assure that the supply of generation will be sufficient for the period of the planning horizon (Fini et al., 2016; Alhelou et al., 2018; Zamani et al., 2018; Alhelou et al., 2015; Njenda et al., 2018; Haes Alhelou et al., 2018; Haes Alhelou et al., 2019).

The major difference between the electricity and other commodities is that electricity cannot be gathered in a large quantity economically; therefore electricity is consumed at the time of its production. Almost each attempt, the power system operator has made is to meet system demand with generation on a minute to minute basis. Generally, demand has the deficient adaptability to react to an irregularity amongst generation and demand, so changing generation following the demand difference turns the major way to keep demand/supply in adjusts.

Key Terms in this Chapter

Supply-Side Management (SSM): It refers to actions taken to ensure the generation; transmission and distribution of energy are conducted efficiently.

Generation Expansion Planning: It is finding an optimal solution for the planning problem in which the installation of new generation units satisfies both technical and financial limits.

Demand-Side Management: ( DSM ): It is the modification of consumer demand for energy through various methods such as financial incentives and behavioral change through education.

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