scholarly journals Potential utilization of renewable energy resources for electricity generation in Bosnia and Herzegovina

2005 ◽  
Vol 9 (3) ◽  
pp. 15-23 ◽  
Author(s):  
Fajik Begic ◽  
Anes Kazagic

Along with the current processes of restructuring of Energy power system of Bosnia and Herzegovina, liberalization of the electricity market, and modernization of the existing power plants, Bosnia and Herzegovina must turn to the utilization of renewable resources in reason able dynamics as well. Respecting this policy, the initial Valuation of the potential of renewable erg resources in Bosnia and Herzegovina is per formed. The methodology of evaluation of wind energy utilization is presented in this paper, as well as some other aspects of utilization of the renewable energy resources in Bosnia and Herzegovina. Implementation of selected projects should improve sustainability of energy power production in Bosnia and Herzegovina, by reducing the total emission of carbon dioxide originated from energy power system of Bosnia and Herzegovina.

2018 ◽  
Vol 13 (1) ◽  
pp. 61 ◽  
Author(s):  
Nasser Hosseinzadeh ◽  
A. Al Shereiqi ◽  
M. Albadi ◽  
Amer Al-Hinai

 This paper investigates the possibility of constructing multi-microgrids by interlinking the rural area systems in the Al Wusta governorate of the Sultanate of Oman, which are currently being supplied by diesel generators. It is proposed to enhance the rural system under study by switching off small diesel stations and replacing them with wind turbines. The microgrids formed in this way are then interlinked together to create multi-microgrids. The paper studies the interlinked multi-microgrids under different scenarios; in terms of voltage profiles and power flow using the ETAP software package. This study contributes to the feasibility study of retiring some diesel power plants and using renewable energy resources in rural Oman.


2021 ◽  
Vol 13 (16) ◽  
pp. 8708
Author(s):  
Magnus de Witt ◽  
Hlynur Stefánsson ◽  
Ágúst Valfells ◽  
Joan Nymand Larsen

Currently, the dominant energy source for electricity generation in the Arctic is diesel, which is well proven for Arctic conditions. However, diesel is expensive in the Arctic, often due to long and complicated fuel transportation routes, and so inhabitants of Arctic communities can face high electricity costs. This paper investigates whether renewable energy resources can be harvested in a feasible and cost-competitive manner. The paper highlights which renewable energy resources are generally available in the Arctic and analyzes how renewable resources, such as hydropower, wind, and photovoltaics, can be used. Furthermore, we present three specific case studies to provide in-depth insight. A simulation with different energy generation scenarios using different renewable energy sources and penetration levels was performed for each case. The results indicate that renewables can be a cost-competitive option and that the optimal mix of renewables varies for different communities. Stakeholders and experts from the case study communities were also interviewed and their responses indicated a general acceptance of renewables.


2020 ◽  
Vol 11 (2) ◽  
pp. 40 ◽  
Author(s):  
Hassan Haes Alhelou ◽  
Pierluigi Siano ◽  
Massimo Tipaldi ◽  
Raffaele Iervolino ◽  
Feras Mahfoud

The smart grid concept enables demand-side management, including electric vehicles (EVs). Thus way, some ancillary services can be provided in order to improve the power system stability, reliability, and security. The high penetration level of renewable energy resources causes some problems to independent system operators, such as lack of primary reserve and active power balance problems. Nowadays, many countries are encouraging the use of EVs which provide a good chance to utilize them as a virtual power plant (VPP) in order to contribute to frequency event. This paper proposes a new control method to use EV as VPP for providing primary reserve in smart grids. The primary frequency reserve helps the power system operator to intercept the frequency decline and to improve the frequency response of the whole system. The proposed method calculates the electric vehicles’ primary reserve based on EVs’ information, such as the state of charge (SOC), the arriving time and the vehicle’s departure time. The effectiveness of the proposed scheme is verified by several simulation scenarios on a real-world modern power system with different generating units, such as conventional power plants, renewable energy resources, and electric vehicles.


Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2420 ◽  
Author(s):  
Haiteng Han ◽  
Hantao Cui ◽  
Shan Gao ◽  
Qingxin Shi ◽  
Anjie Fan ◽  
...  

More renewable energy resources have been connected to the grid with the promotion of global energy strategies, which presents new opportunities for the current electricity market. However, the growing integration of renewable energy also brings more challenges, such as power system reliability and the participants’ marketable behavior. Thus, how to coordinate integrated renewable resources in the electricity market environment has gained increasing interest. In this paper, a bilevel bidding model for load serving entities (LSEs) considering grid-level energy storage (ES) and virtual power plant (VPP) is established in the day-ahead (DA) market. Then, the model is extended by considering contingencies in the intraday (ID) market. Also, according to the extended bidding model, a remedial strategic rescheduling approach for LSE’s daily profit is proposed. It provides a quantitative assessment of LSE’s loss reduction based on contingency forecasting, which can be applied to the power system dispatch to help LSEs deal with coming contingencies. Simulation results verify the correctness and effectiveness of the proposed method.


Author(s):  
Baba Dzhabrailovich Babaev ◽  
Vladimir Panchenko ◽  
Valeriy Vladimirovich Kharchenko

The main objective of the work is to develop principles for the formation of the optimal composition of the energy complex from all the given power plants based on renewable energy sources for an autonomous consumer, taking into account the variable energy loads of the consumer, changing climatic conditions and the possibility of using local fuel and energy resources. As a result of solving this optimization problem, in addition to the optimal configuration of the power complex, it is also necessary to solve the problem of optimizing the joint operation of different types of power plants from the selected optimal configuration, that is, it is necessary to determine the optimal modes of operation of power plants and the optimal share of their participation in providing consumers at every moment in time. A numerical method for analyzing and optimizing the parameters and operating mode of the energy complex with the most accurate consideration of the schedule of changes in consumer load and software that automates the solution of this optimization problem are also presented.


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