Unit Commitment Towards Decarbonized Network Facing Fixed and Stochastic Resources Applying Water Cycle Optimization

Heba-Allah Elazab,Noha El-Amary,H Temraz,R Swief

doi:10.3390/en11051140

Abstract

This paper presents a trustworthy unit commitment study to schedule both Renewable Energy Resources (RERs) with conventional power plants to potentially decarbonize the electrical network. The study has employed a system with three IEEE thermal (coal-fired) power plants as dispatchable distributed generators, one wind plant, one solar plant as stochastic distributed generators, and Plug-in Electric Vehicles (PEVs) which can work either loads or generators based on their charging schedule. This paper investigates the unit commitment scheduling objective to minimize the Combined Economic Emission Dispatch (CEED). To reduce combined emission costs, integrating more renewable energy resources (RER) and PEVs, there is an essential need to decarbonize the existing system. Decarbonizing the system means reducing the percentage of CO2 emissions. The uncertain behavior of wind and solar energies causes imbalance penalty costs. PEVs are proposed to overcome the intermittent nature of wind and solar energies. It is important to optimally integrate and schedule stochastic resources including the wind and solar energies, and PEVs charge and discharge processes with dispatched resources; the three IEEE thermal (coal-fired) power plants. The Water Cycle Optimization Algorithm (WCOA) is an efficient and intelligent meta-heuristic technique employed to solve the economically emission dispatch problem for both scheduling dispatchable and stochastic resources. The goal of this study is to obtain the solution for unit commitment to minimize the combined cost function including CO2 emission costs applying the Water Cycle Optimization Algorithm (WCOA). To validate the WCOA technique, the results are compared with the results obtained from applying the Dynamic Programming (DP) algorithm, which is considered as a conventional numerical technique, and with the Genetic Algorithm (GA) as a meta-heuristic technique.

Highlights

The goal of this study is to obtain the solution for unit commitment to minimize the combined cost function including CO2 emission costs applying the Water Cycle Optimization Algorithm (WCOA)
To validate the WCOA technique, the results are compared with the results obtained from applying the Dynamic Programming (DP) algorithm, which is considered as a conventional numerical technique, and with the Genetic Algorithm (GA) as a meta-heuristic technique
The unit commitment study integrating stochastic and disputable resources is a rich topic with different aspects and branches, but all those branches have their scope in the main theme of the work

Summary

Introduction

The unit commitment study integrating stochastic and disputable resources is a rich topic with different aspects and branches, but all those branches have their scope in the main theme of the work.The guidelines of the introduction are divided into the following points: Unit commitment importance and aim of the study; The reasons for selecting the objective function governing the unit commitment study, emission cost reduction; Energies 2018, 11, 1140; doi:10.3390/en11051140 www.mdpi.com/journal/energiesThe advantages and disadvantages of integrating RERs into the study goals; The integration of PEVs and their advantages and disadvantages for achieving the quality of the goalsAstate of art in the unit commitment area and the optimization technique applied; The contribution and the structure of the paperUnit commitment is a vital study required to ensure the hourly energy supply requirements.The unit commitment focuses on minimizing the production cost, which mainly depends on the fuel cost value. Unit commitment importance and aim of the study; The reasons for selecting the objective function governing the unit commitment study, emission cost reduction; Energies 2018, 11, 1140; doi:10.3390/en11051140 www.mdpi.com/journal/energies. Unit commitment is a vital study required to ensure the hourly energy supply requirements. The goal of the study is to decarbonize the CO2 limit in electrical power system networks, which means reducing the amount of CO2 emissions. To reduce CO2 emissions while supplying the required demands, integrating more Renewable Energy Resources (RER) will cause a conflict problem as a result of increasing the amount of CO2 emissions, which causes the earth temperature to rise. The unit commitment problem is a complicated optimization problem, from the objective function point of view or its constraints [1,2,3,4,5]

Objectives

Discussion

Conclusion