Increasing demand for energy consumption leads to concerns of global Greenhouse Gas (GHG) emissions. Most of the supplied energy comes from dirty generating units. Since there are no regulations to limit emissions of CO2 from electricity generation, power plants can emit unlimited amount of CO2. This dissertation, first, aims to explain some government directed plans to reduce GHG emissions. It gives an overview about the Clean Power Plan (CPP) and its benefits and challenges. Further, it explains several options of CPP in reducing emissions and its repeal. Further, this dissertation, discusses the Climate Action Plan (CAP) corresponding to Fort Collins, Colorado, U.S. and its timeline targets.Demand side management (DSM) is discussed as a solution from engineering practices to affect GHG.Several options from DSM are investigated to reduce emissions. In fact, reducing energy consumption through DSM leads to a reduction in harmful emissions to the environment. This dissertation aims to identify the best available DSM options that will make the biggest difference for GHG reductions.A framework is created to examine several options of DSM in reducing carbon footprints. The framework states that affecting GHG in electric power system is the main goal. The goal can be achieved by implementing DSM technologies in distribution systems. The framework proposes criteria such as cost, power quality, reliability, environmental collateral, and socioeconomic equity to examine the effectiveness of several alternatives: energy management, communication and intelligence, electrification of heating and transportation, and distributed generation.Multi-Criteria Decision Making (MCDM) algorithms have been proposed to prioritize alternatives and select the ones that achieve suitable emissions reduction. Analytic Hierarchy Process (AHP) is one of the most common tools to perform decision-making analysis. The findings from AHP show that the "communication and intelligence" option is the potential optimal alternative in achieving the goal. Analytic Network Process iii (ANP) is another method for making decisions. It provides feedback and interdependence relationships between all nodes of the problem. It is more realistic and accurate than AHP. The results obtained from ANP suggest that "communication and intelligence" is the optimum technology to reach the target. By using ANP, the overall priority ranking has changed and the difference in priorities has reduced.Institute of Electrical and Electronics Engineers (IEEE) 13-node test feeder is used, through Open Distribution System Simulator (OpenDSS), to perform power flow analysis on yearly load profile corresponding to Fort Collins, Colorado, U.S. The analysis includes simulation for several scenarios from the MCDM alternatives, either individual alternatives or mixed alternatives. The obtained results for the base case show the emissions decreased by 16.26% from 2005 level which comply with the results from emissions indicator released by the city. Integrating the MCDM alternatives indi...
Large penetration of wind energy systems into electric-grids results in many power quality problems. This paper presents a classification of power quality issues, namely harmonics and short-duration voltage variation observed due to the integration of wind power. Additionally, different techniques and technologies to mitigate the effect of such issues are discussed. The paper highlights the current trends and future scopes in the improvement of the interconnection of wind energy conversion systems (WECSs) into the grid. As the voltage variation is the most severe power quality issue, case studies have been presented to investigate this problem using steady-state time-series simulations. The standard IEEE test system namely IEEE 123-node test feeder and IEEE 30-node grid are solved under different operating conditions with wind power penetration. Typical daily load profiles of a substation in Riyadh, Saudi Arabia, and an intermittent wind power generation profile are used in all case studies. Mitigation of voltage variations due to wind intermittency is achieved using reactive power compensation of the interface inverter. The results show the effectiveness of these approaches to avoid voltage variation and excessive tap setting movements of regulators and keep the voltage within the desired operating conditions.
The demand for electricity in Saudi Arabia has grown in the last few years due to the growth in the economy and the population. The country has invested in many solutions such as promoting renewable energy and shifting to generation mix to respond to this growing demand. However, Electric Vehicles (EVs) are used as an important factor in achieving the Saudi Vision 2030 in its environmental and economical parts. This work gives an overview on the Saudi electrical energy system and then investigates the impact EVs technology in the electricity sector in Saudi Arabia and its relevant consequences. A statistical analysis is used to quantify the number of EVs, travelled distance and traffic congestions, and State of Charge (SOC). The data were used to implement a daily load profile for EVs for a large population of vehicles. The obtained results show that the EVs peak loads occur during the late evening and early morning at different means. Interestingly, the work shows that the peak periods of EVs occur during the off-peak times of the daily load curve. This means that a large population of EVs can offer more flexibility and improvement to the electric grid, and the summative EV load of a large population of vehicles has a smooth pattern and will not affect the national electric system.
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