Journal of Operation and Automation in Power Engineering
Volume:11 Issue: 1, Spring 2023

Electric energy demand is increasing rapidly in developing countries, making the installation of additional generating units necessary. Private generating stations are encouraged to add new generations in deregulated energy networks. Planning for transmission expansion must ensure increased market competition while maintaining high levels of dependability and system operation safety. New objectives and demands have been made for the transmission expansion issue as a result of the deregulation of the energy network. This study has attempted to provide a new population-base algorithm; called Modified Honey Bee Mating Optimization (MHBMO) for expansion development in deregulated energy systems that are applied in multi-objective processes. In addition, to diminish the elaborateness of the issue the benders decomposition is used in this study which categorize the original issue into two subproblems. First maximizing the profits of each PBGEP (GENCO) and second, satisfying security network constraints (SCGEP). Therefore, using the suggested MHBMO algorithm, value of each GENCO's profit and overall profit could be obtained. To demonstrate the viability and capabilities of the suggested algorithm, the planning methodology has been evaluated using the IEEE 30-bus test system. The results of the current study served as an example of the effectiveness of the suggested methodology.

Numerous factors, such as the expansion of the growing demand for energy, depletion of fossil resources, environmental disasters caused by fossil fuels, global warming of the atmosphere, the greenhouse effect, and the need to balance the emission of polluting gases, have prompted a new scientific approach to natural renewable energies. However, large-scale electricity production and transfer to consumers are accompanied by significant losses. The purpose of this study was to design and optimize the use of a hybrid photovoltaic system and a gasoline-powered engine to generate electricity and heat. In this study, the design and operation of a hybrid photovoltaic system and a gas engine as a combined heat and power source were explored using the following three thermal loads, following electric load methods, and the GAMS-optimized simultaneous optimization model. With a description of the revenues, costs, and limitations of the problem, these optimizations were performed to reduce the net pure cost and determine the rate of return on investment, and the following results were obtained. This investigation was conducted to find ways to reduce operational costs. The amount of electricity produced by the following thermal load and optimal methods is greater than the amount of electricity consumed during the majority of hours in a day. This indicates that the system has made the decision to sell electrical energy to the network to reduce the costs associated with operating the system. When compared to the following thermal load method, the simultaneous optimal method for operation results in an approximately 15% reduction in the costs associated with operation.

The incorporation of sustainable energy sources holds significant significance in the economic, social, and environmental domains of any country because of the exhaustion of non-renewable energy resources and escalation of ecological degradation. This holds true irrespective of the country's geographical location. Owing to these two factors, the employment of this particular type of energy is emerging as a progressively noteworthy tactic. The present investigation involved the generation of power transmission network simulations using solar power plants. The network model was chosen as the preferred approach for a specific locality in Baghdad, Iraq, which is characterized by a noteworthy concentration of solar and wind energy generators. A numerical model was employed to construct a power transmission network model that integrated Renewable Energy Sources (RES). The Digsilent/Power Factory software has been utilized for the purpose of modeling the power transmission network that incorporates RES. The developed network model integrates several distinct case studies, each of which includes diverse links that exhibit varying levels of renewable energy sources (RES). As per the simulation findings, the 346 kV shared bus is linked to the 154 kV Iraqi transmission line via a 156/35.8 kV step-up transformer. The transmission system was represented by bus voltages of 156 and 290 kV. The permissible range of operational voltages for a transmission system should not deviate beyond 5\% of the voltage level at the corresponding substations.