Majlesi Journal of Energy Management
Volume:11 Issue: 4, Dec 2022

The purpose of this research is the technical, economic and environmental evaluation of a photovoltaic power plant in Chaharmahal and Bakhtiari province using RETscreen software, with the construction of this power plant, it leads to a reduction of 91.8 per year. Also, the amount of 39454 liters of gasoline and the amount of 214 barrels of crude oil will be saved. The economic results of the project NPV=5282615036 Rials, considering the investment return period which is 4 years, the implementation of this project is economical. The economizationof this project, considering the deprived nature of this province, can help the economic issues.

The quality of electrical energy is among the matters of great importance in the field of renewable energies, especially in the case of wind energy. Power quality has a lot to do with the type of control method used. In this paper, backstepping control is used to control an asynchronous generator-based multi-rotor wind power system. Backstepping control was chosen as the best generator control solution because of its robustness and high efficiency in improving dynamic response quality. On the other hand, this strategy was used to control the rotor side converter in order to improve the current quality and reduce power ripples. Matlab software was used to verify the proposed strategy, where the obtained results were compared with the direct power control in terms of power ripple reduction ratio, current quality, durability, and total harmonic distortion of current value. The results of the work demonstrated the efficiency and effectiveness of the proposed strategy in improving the quality of the current/energy of the wind energy generation system using multi-rotor wind turbines.

Due to thelarge integration of wind generation in power system,the inclusion of more novelapproaches in the planning of power system operation canbe considered as of paramount importance and has spurred a significant amount of research. This studypresents a novel framework to study the impacts of demand response programs in order to increase theflexibility and wind power owners'benefits in power market. The operationalplanning encourages risk due tothe intermittent nature and wind generation volatility and thehigh investment cost.So, in this paper,a modified model isdevelopedto integrate operational planning ofwind generationalong with implementing demand responseprograms.One of the most important problems of wind power operation in a competitive electricity market is providing its incentive cost. So,the impact of implementing demand responseprograms on wind’s incentive cost is investigated in this study.Theframeworkis then implemented on a test system to showthe effectivenessof ourproposed approach.

The design of electricity distribution network is one of the most important parts in electricity distribution companies. The purpose of the design unit is to provide designs with defined standards. The electrical network remains stable if it considers environmental and geographical principles and rules in its design. Otherwise, the electricity distribution network implemented against natural disasters (floods, earthquakes, etc.) will lose its stability. data and leads to public dissatisfaction and financial burden on electricity distribution companies. The choice of equipment and the type of arrangementof the electricity distribution network is very sensitive. How to choose these items depends on the geographical conditions of the region, so we cannot do it hypothetically, so achieving the best option requires the implementation of new methods. In this article, we first check the shape file of Kohrang city with ARCGIS software and use the AHP hierarchical analysis method to choose the optimal layout and equipment of the distribution network.

Virtual power plants (VPPs) are interested in performing demand response programs as an important electricity source to supply the related loads. However, aggregating demand response (DR) provided by individual consumers will be difficult matter. So, individual responsive consumers are Aggregated by demand response Provider (DRP). In other words, The DRP aggregates DR programs by playing a mediator role between individual consumers and VPP. This paper presents different scheduling approaches to model DR programs in the VPP, namely: Single level programing approach (SLPA) and Bi-level programing approach (BLPA). In SLPA, VPP imports electricity from electricity market and also aggregates DR provided by individual consumers to supply its total loads. However, fair transaction between VPP and DRP is implemented through BLPA. In BLPA, DRP aggregates individual consumers and negotiates with the VPP to find out optimal contract price for executing DR programs. On the one hand, the DRP maximizes its provided profit by offering aggregated DR of the responsive consumers to VPP and on the other hand, the VPP aims to optimize its costs to procure demand of consumers. The proposed BLPA is transferred into a single level optimizing problem implementing its Karush-Kuhn-Tucker (KKT) optimality conditions. Finally, The efficiency of the presented model is verified through the case studies and analysis of the obtained results.