Guest Editors
Prof. Dr. Oveis Abedinia
Electrical and Computer Engineering, Nazarbayev University, 214082 Nur-Sultan, Kazakhstan
Dr. Ali Ghasemi Marzbali
Department of Electrical and Biomedical Engineering, Mazandaran University of Science and Technology, Babol, Iran
Dr. Behrouz Sobhani
Faculty of Technical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
Summary
Improvement in cities based on new intelligent strategies provide new challenges for researchers. Actually, the cities are the largest consumers of energy and also CO2 generators. With population growth, the energy demand will be increase and the environment can be threated by exhausted carbon. This issue can provide serious problems specially in power systems in future if left unaddressed. Artificial intelligence approach is one of the solution models in modern power systems and smart cities. Application of solution models in different forecasting in renewable energy sources, optimal power flow, energy efficiency in context of smart cities, energy management and etc., can help the power system and smart cities to tackle the mentioned problems. Additionally, optimum consumption of energies in buildings and crowded cities can solved by these methods through solving the environmental drawbacks and increase the stability of grid.
In this special issue, the broader area of energy and environmental sustainability in smart cities is proposed. Acceptable technologies and resources include but are not limited to wind energy, photovoltaic, economic and environmental impacts of energy efficiency over smart cities, Smart transportation and energy management in smart cities, energy management and control techniques, fuel cells and battery, geothermal energy, and energy storage technologies, electric vehicles (EVs) and etc. Authors with research papers focused on various approaches of smart energy management, renewable energy forecasting including machine learning, optimization, fuzzy logic, artificial neural networks, game theory and etc., are encouraged. This special issue provides an opportunity for rapid publication of work describing the practical solution models in proposed problem.
The interested topics but not limited of this special issue can be presented as follows:
l Application of artificial intelligence methods on smart energy management
l Impacts of energy forecasting in smart cities operation and planning
l Optimal solution models of environment and economic impacts in microgrids based optimization methods
l Security constrained optimal power flow in smart cities and its impacts of environment
l Application of artificial models for sustainable energy efficiency in microgrids
l Energy storage devices for smart building energy management
l Optimal operation of energy management system in smart building based renewable energy sources
l The evolution of the city-energy-sustainability nexus
l Smart monitoring, and optimization of energy consumption in smart cities
Keywords
Evolutionary Algorithms; Power system modeling and optimization; Renewable energy; Energy & environmental issues; Energy Forecasting ; Utilities ; Operation in power system; Carbon emissions reduction
Published Papers
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Open Access
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Open Access
ARTICLE
Optimal Operation of Electric Vehicles and Distributed Generation Resources in Smart Grid Considering Load Management
Zheng Wang, Shangke Liu, Yanli Xiao, Ye Wan, Bin Bai
Energy Engineering, Vol.119, No.6, pp. 2655-2679, 2022, DOI:10.32604/ee.2022.021843
(This article belongs to this Special Issue:
Application of Artificial Intelligence for Energy and City Environmental Sustainability)
Abstract Technology advancement and the global tendency to use renewable energy in distributed generation units in the distribution network have been proposed as sources of energy supply. Despite the complexity of their protection, as well as the operation of distributed generation resources in the distribution network, factors such as improving reliability, increasing production capacity of the distribution network, stabilizing the voltage of the distribution network, reducing peak clipping losses, as well as economic and environmental considerations, have expanded the influence of distributed generation (DG) resources in the distribution network. The location of DG sources and their capacity are the key factors…
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Open Access
ARTICLE
Optimal Energy Consumption Optimization in a Smart House by Considering Electric Vehicles and Demand Response via a Hybrid Gravitational Search and Particle Swarm Optimization Algorithm
Rongxin Zhang, Chengying Yang, Xuetao Li
Energy Engineering, Vol.119, No.6, pp. 2489-2511, 2022, DOI:10.32604/ee.2022.021517
(This article belongs to this Special Issue:
Application of Artificial Intelligence for Energy and City Environmental Sustainability)
Abstract Buildings are the main energy consumers across the world, especially in urban communities. Building smartization, or the smartification of housing, therefore, is a major step towards energy grid smartization too. By controlling the energy consumption of lighting, heating, and cooling systems, energy consumption can be optimized. All or some part of the energy consumed in future smart buildings must be supplied by renewable energy sources (RES), which mitigates environmental impacts and reduces peak demand for electrical energy. In this paper, a new optimization algorithm is applied to solve the optimal energy consumption problem by considering the electric vehicles and demand…
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Open Access
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Modeling the Proposal of the Simultaneous Purchases and Sales of Electricity and Gas for the Energy Market in a Microgrid Using the Harmony Search Algorithm
Zinan Zhou, Yirun Chen, Wensheng Dai
Energy Engineering, Vol.119, No.6, pp. 2681-2709, 2022, DOI: 10.32604/ee.2022.021410
(This article belongs to this Special Issue:
Application of Artificial Intelligence for Energy and City Environmental Sustainability)
Abstract The use of different energy carriers together, known as an energy hub, has been a hot topic of research in recent
years amongst scientists and researchers. The term energy hub refers to the simultaneous operation of various
infrastructures for energy generation and transfer, which has gained momentum in the form of microgrids (MGs).
This paper introduces a new strategy for the optimal performance of an MG consisting of different energy carriers
for each day. In a smart distribution network (DN), MGs can reduce their own costs in the previous-day market
by bidding on sales and purchases. The sales and purchases…
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Open Access
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Optimal Intelligence Planning of Wind Power Plants and Power System Storage Devices in Power Station Unit Commitment Based
Yuchen Hao, Dawei Su, Zhen Lei
Energy Engineering, Vol.119, No.5, pp. 2081-2104, 2022, DOI:10.32604/ee.2022.021342
(This article belongs to this Special Issue:
Application of Artificial Intelligence for Energy and City Environmental Sustainability)
Abstract Renewable energy sources (RES) such as wind turbines (WT) and solar cells have attracted the attention of power system operators and users alike, thanks to their lack of environmental pollution, independence of fossil fuels, and meager marginal costs. With the introduction of RES, challenges have faced the unit commitment (UC) problem as a traditional power system optimization problem aiming to minimize total costs by optimally determining units’ inputs and outputs, and specifying the optimal generation of each unit. The output power of RES such as WT and solar cells depends on natural factors such as wind speed and solar irradiation…
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Open Access
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Implementing an Optimal Energy Management System for a Set of Microgrids Using the Harmony Search Algorithm
Xiangjian Shi, Teng Liu, Wei Mu, Jianfeng Zhao
Energy Engineering, Vol.119, No.5, pp. 1843-1860, 2022, DOI:10.32604/ee.2022.020787
(This article belongs to this Special Issue:
Application of Artificial Intelligence for Energy and City Environmental Sustainability)
Abstract A microgrid (MG) refers to a set of loads, generation resources and energy storage systems acting as a controllable load or a generator to supply power and heating to a local area. The MG-generated power management is a central topic for MG design and operation. The existence of dispersed generation (DG) resources has faced MG management with new issues. Depending on the level of exchanges between an MG and the main grid, the MG operation states can be divided into independent or grid-connected ones. Energy management in MGs aims to supply power at the lowest cost for optimal load response.…
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Open Access
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Optimal Intelligent Reconfiguration of Distribution Network in the Presence of Distributed Generation and Storage System
Gang Lei, Chunxiang Xu
Energy Engineering, Vol.119, No.5, pp. 2005-2029, 2022, DOI:10.32604/ee.2022.021154
(This article belongs to this Special Issue:
Application of Artificial Intelligence for Energy and City Environmental Sustainability)
Abstract In the present paper, the distribution feeder reconfiguration in the presence of distributed generation resources
(DGR) and energy storage systems (ESS) is solved in the dynamic form. Since studies on the reconfiguration
problem have ignored the grid security and reliability, the non-distributed energy index along with the energy
loss and voltage stability indices has been assumed as the objective functions of the given problem. To achieve
the mentioned benefits, there are several practical plans in the distribution network. One of these applications is
the network rearrangement plan, which is the simplest and least expensive way to add equipment to the…
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Open Access
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Effects of Hydrogen Storage System and Renewable Energy Sources for Optimal Bidding Strategy in Electricity Market
Can Li, Xiaode Zuo
Energy Engineering, Vol.119, No.5, pp. 1879-1903, 2022, DOI:10.32604/ee.2022.020472
(This article belongs to this Special Issue:
Application of Artificial Intelligence for Energy and City Environmental Sustainability)
Abstract This work suggested a novel model for obtaining optimum bidding/offering strategy to improve the benefits in case
of big users. Aiming this regard, several electrical energy resources including: micro turbines, green power sources
(wind turbine and photovoltaic system), power storage unit such as Hydrogen storage system with fuel cell, as well as
mutual treaties are taken into account in offered model. Considering various models for uncertain parameters based
on their natures such as power demand, electricity market tariffs, solar irradiation, temperature and wind speed
is one of the contributions of the proposed model. Uncertainty of power demand is modeled by…
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