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Transmission expansion planning (TEP), the determination of new transmission lines to be added to an existing power network, is a key element in power system planning. Using classical optimization to define the most suitable reinforcements is the most desirable alternative. However, the extent of the under-study problems is growing, because of the uncertainties introduced by renewable generation or electric vehicles (EVs) and the larger sizes under consideration given the trends for higher renewable shares and stronger market integration. This means that classical optimization, even using efficient techniques, such as stochastic decomposition, can have issues when solving large-sized problems. This is compounded by the fact that, in many cases, it is necessary to solve a large number of instances of a problem in order to incorporate further considerations. Thus, it can be interesting to resort to metaheuristics, which can offer quick solutions at the expense of an optimality guarantee. Metaheuristics can even be combined with classical optimization to try to extract the best of both worlds. There is a vast literature that tests individual metaheuristics on specific case studies, but wide comparisons are missing. In this paper, a genetic algorithm (GA), orthogonal crossover based differential evolution (OXDE), grey wolf optimizer (GWO), moth–flame optimization (MFO), exchange market algorithm (EMA), sine cosine algorithm (SCA) optimization and imperialistic competitive algorithm (ICA) are tested and compared. The algorithms are applied to the standard test systems of IEEE 24, and 118 buses. Results indicate that, although all metaheuristics are effective, they have diverging profiles in terms of computational time and finding optimal plans for TEP.
Hamdi Abdi; Mansour Moradi; Sara Lumbreras. Metaheuristics and Transmission Expansion Planning: A Comparative Case Study. Energies 2021, 14, 3618 .
AMA StyleHamdi Abdi, Mansour Moradi, Sara Lumbreras. Metaheuristics and Transmission Expansion Planning: A Comparative Case Study. Energies. 2021; 14 (12):3618.
Chicago/Turabian StyleHamdi Abdi; Mansour Moradi; Sara Lumbreras. 2021. "Metaheuristics and Transmission Expansion Planning: A Comparative Case Study." Energies 14, no. 12: 3618.
With the increased use of wind power in power systems, the necessity of revision of conventional deterministic approaches is indisputable. Presenting new and effective methods based on uncertainty modeling is greatly emphasized. In this paper, a new method for investigating the robust security constrained-optimal power flow (RSCOPF) is proposed, which is not only able to comply with security constraints but also robust to the uncertainty of electrical demand loads and wind power generation. The proposed approach is based on the definition of uncertain loads and wind power generation and uses the Taguchi orthogonal array technique (TOAT), for the first time, a technique which is adopted to solve the RSCOPF by applying the alternating current power flow (ACPF) and particle swarm optimization (PSO) algorithm. Also, some security analyses are presented to introduce the most critical lines and generation units whose loss imposes the highest operating costs on the network. The case study simulation on the IEEE 14-bus system using MATLAB software demonstrates the ability of the proposed algorithm.
Sara-Sadat Ghasemi; Hamdi Abdi. Robust security constrained optimal power flow considering load and wind power generation uncertainties by applying Taguchi method. 2021, 5, 51 -61.
AMA StyleSara-Sadat Ghasemi, Hamdi Abdi. Robust security constrained optimal power flow considering load and wind power generation uncertainties by applying Taguchi method. . 2021; 5 (1):51-61.
Chicago/Turabian StyleSara-Sadat Ghasemi; Hamdi Abdi. 2021. "Robust security constrained optimal power flow considering load and wind power generation uncertainties by applying Taguchi method." 5, no. 1: 51-61.
Vast expansion in consumption is leading to natural resource scarcity and global warming. The integrated management of natural resources, such as food, energy, food (FEW) as one of the most important aspects has been proposed as a solution to meet these challenges. The FEW nexus is a world-wide solution for simultaneously assessing the development and implementation of various approaches focusing on energy, water and food security, sufficiency. This approach is intended to foster sustainable development and improve the quality of life of communities while preserving the natural, human and social capital, address the long-term sustainability challenges and protecting all-natural resources. This paper tries to review some recent research on this topic. For this purpose, first, we describe some facts about demand growth and exponential consumption in these three areas, with emphasis on presented statistics. Then, the most critical research published in this field is reviewed, considering that it took a decade or so before that the original idea was introduced. The most important policymakers of this emerging concept, including committees and conferences, and finally significant challenges and opportunities to the implementation along with future insights, are addressed.
Hamdi Abdi; Maryam Shahbazitabar; Behnam Mohammadi-Ivatloo. Food, Energy and Water Nexus: A Brief Review of Definitions, Research, and Challenges. Inventions 2020, 5, 56 .
AMA StyleHamdi Abdi, Maryam Shahbazitabar, Behnam Mohammadi-Ivatloo. Food, Energy and Water Nexus: A Brief Review of Definitions, Research, and Challenges. Inventions. 2020; 5 (4):56.
Chicago/Turabian StyleHamdi Abdi; Maryam Shahbazitabar; Behnam Mohammadi-Ivatloo. 2020. "Food, Energy and Water Nexus: A Brief Review of Definitions, Research, and Challenges." Inventions 5, no. 4: 56.
Ali Rostami; Hamdi Abdi; Mansour Moradi; Javad Olamaei; Ehsan Naderi. Islanding Detection based on ROCOV and ROCORP Parameters in the Presence of Synchronous DG Applying the Capacitor Connection Strategy. Electric Power Components and Systems 2016, 45, 315 -330.
AMA StyleAli Rostami, Hamdi Abdi, Mansour Moradi, Javad Olamaei, Ehsan Naderi. Islanding Detection based on ROCOV and ROCORP Parameters in the Presence of Synchronous DG Applying the Capacitor Connection Strategy. Electric Power Components and Systems. 2016; 45 (3):315-330.
Chicago/Turabian StyleAli Rostami; Hamdi Abdi; Mansour Moradi; Javad Olamaei; Ehsan Naderi. 2016. "Islanding Detection based on ROCOV and ROCORP Parameters in the Presence of Synchronous DG Applying the Capacitor Connection Strategy." Electric Power Components and Systems 45, no. 3: 315-330.
Renewable generation and distributed resources are becoming increasingly relevant due to their various advantages and intense regulatory support. Therefore, there is a need to consider the effects of these new sources in the transmission network. In addition, the accurate assessment of losses is necessary in order to evaluate the impact of distributed generation. In this paper, we present a single-objective optimization method that is applied to different case studies that include an AC and a DC power flow in order to consider losses accurate and efficiently. The proposed algorithm considers uncertainty in wind generation and demand, as well as the costs for investment, repair, maintenance, and losses. This problem is solved using an Imperialist Competitive Algorithm (ICA), a meta-heuristic method that has been proposed recently and has shown promising results compared to the other well-established evolutionary methods such as Genetic Algorithm (GA). The proposed method is investigated on the IEEE 24-bus and IEEE 118-bus test systems. The results are compared to the results reported in the literature. Our results confirm that an accurate evaluation of losses using an ACPF does modify the optimal plan and hence it is important to include an ACPF when performing Transmission Expansion Planning (TEP). In addition, the implemented ICA displays a more efficient performance than a plan GA in the same case study.
Mansour Moradi; Hamdi Abdi; Sara Lumbreras; Andres Ramos; Shahram Karimi. Transmission Expansion Planning in the presence of wind farms with a mixed AC and DC power flow model using an Imperialist Competitive Algorithm. Electric Power Systems Research 2016, 140, 493 -506.
AMA StyleMansour Moradi, Hamdi Abdi, Sara Lumbreras, Andres Ramos, Shahram Karimi. Transmission Expansion Planning in the presence of wind farms with a mixed AC and DC power flow model using an Imperialist Competitive Algorithm. Electric Power Systems Research. 2016; 140 ():493-506.
Chicago/Turabian StyleMansour Moradi; Hamdi Abdi; Sara Lumbreras; Andres Ramos; Shahram Karimi. 2016. "Transmission Expansion Planning in the presence of wind farms with a mixed AC and DC power flow model using an Imperialist Competitive Algorithm." Electric Power Systems Research 140, no. : 493-506.
Hamdi Abdi; Arman Moradi; Sadreddin Saleh. Optimal unit commitment of renewable energy sources in the micro-grids with storage devices. Journal of Intelligent & Fuzzy Systems 2015, 28, 537 -546.
AMA StyleHamdi Abdi, Arman Moradi, Sadreddin Saleh. Optimal unit commitment of renewable energy sources in the micro-grids with storage devices. Journal of Intelligent & Fuzzy Systems. 2015; 28 (2):537-546.
Chicago/Turabian StyleHamdi Abdi; Arman Moradi; Sadreddin Saleh. 2015. "Optimal unit commitment of renewable energy sources in the micro-grids with storage devices." Journal of Intelligent & Fuzzy Systems 28, no. 2: 537-546.