Abstract

This research develops an overall framework for optimal operation of Hybrid Renewable Energy Resources (HRERs) system that involves the combination of PV/WT/Diesel units. In the proposed framework, a co-simulator tool is proposed to find the optimal scheduling of HRERs parameters. It composes HOMER PRO and NEPALN packages that are managed by C++ based online optimizer. Different scenarios of hybridization of energy resources are considered achieving technical, economic and environmental perspectives using the HOMER PRO package. The best allocation and sizing of Soft Open Points (SOPs) and the sharing of HRERs are obtained via multi-objective Artificial Electric Field Algorithm (AEFA). The simulation results propose a new hybrid grid-connected system to supply a realistic case study in Sohag-Egypt. That proposed HRERs system demonstrated a feasible economic solution at acceptable levels of gases emission and fuel consumption. Besides, the optimal operation of the HRERs system with SOPs potentially achieve significant technical perspectives that enhance the system losses, improve the voltage profile and increase the loading capacities of transmission lines. The technical perspective is handled using NEPLAN software. Furthermore, the simulation studies prove the high flexible planning and operation of distribution system at significant improvements technical, economic and environmental perspectives.

Highlights

  • The entire energy consumption is going to be increased by 30% in 2040 [1]

  • Hybrid Renewable Energy Resources (HRERs) are developed as a lucrative solution for more environmental and technical issues associated with electrical energy market

  • In this research work the feasibility of Sohag-Egypt system electrification with HRERs (PV/WT/Diesel/Converter) gridconnected system has been investigated with the help of Hybrid Optimization Model for Electric Renewables (HOMER) software

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Summary

INTRODUCTION

The entire energy consumption is going to be increased by 30% in 2040 [1]. Renewables share in the electricity area will have rapid growth, as it is expected to provide almost 30% of power demand by 2023, while it was 24% in 2017 which is statistically stated by international energy agency (IEA) [5]. The associate editor coordinating the review of this manuscript and approving it for publication was Shiwei Xia. its low reliability level when it works as isolated source of energy due to nature of such resources [6]. ; only 0.38% of total energy consumption comes from renewables but the Egyptian government plan targets to increase the total installed capacity of renewables to 11% by 2020 and up to 20% by 2030 [7]

SCHEDULING OF HRERs
TECHNO-ECONOMIC MODELLING
MULTI-OBJECTIVE POWER FLOW PROBLEM FORMULATION
CONCLUSION
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