Análisis bibliométrico de la planeación de expansión de los Sistemas Eléctricos de Potencia

This article presents a bibliometric analysis on the planning of the expansion of electric power systems, a topic of great importance due to the continuous growth of electricity demand. For this reason, electrical power systems must be designed and built to foresee future expansions through the entry of new generation plants, transmission lines and compensating equipment. For the development of this research, keywords that will help find articles on the same subject in Scopus and Web of Science databases will be taken into account. This information will then be organized according to the countries, authors, number of citations and organizations to make a comparison of the information obtained through VOSviewer to inquire about acceptance criteria. By having the selected articles, the matrix of the State of the Art is made which will provide information on formulation, restriction, proposal and solution to the problem.Este artículo presenta un análisis bibliométrico sobre la planeación de la expansión de los sistemas eléctricos de potencia, tema de gran importancia debido al continuo crecimiento de la demanda eléctrica. Por tal motivo, los sistemas eléctricos de potencia deben ser diseñados y construidos para prever futuras expansiones mediante el ingreso de nuevas centrales de generación, líneas de transmisión y equipos compensadores. Para el desarrollo de esta investigación se considerará las palabras claves que permitirán encontrar artículos de la misma temática en bases de datos Scopus y Web of Science. Después se organizará esta información de acuerdo con los países, autores, número de citas y organizaciones para realizar una comparación de la información obtenida mediante VOSviewer para indagar criterios de aceptación. Al contar con los artículos seleccionados se realiza la matriz del Estado del Arte que brindará información sobre formulación, restricción, propuesta y solución al problema

Multiobjective robust power system expansion planning considering generation units retirement

This paper presents a mixed-integer linear robust multiobjective model for the expansion planning of an electric power system. An information-gap decision theory-based framework is proposed to take into account the uncertainties in electrical demand and new power system elements prices. The model is intended to increase the power system resistance against the uncertainties caused by forecast errors. The normal boundary intersection method is used to obtain the Pareto front of the multiobjective problem. Since the planning problem is a large-scale problem, the model is kept linear using the Big M linearization technique that is able to significantly decrease the computational burden. The fuel transportation and availability constraints are taken into account. The model also enables the system planner to build new fuel transportation routes whenever it is necessary. The generating units' retirement is also incorporated into the model, and the simulation results are showed to the advantages of incorporating units' retirement in the power system expansion planning model instead of considering it separately. The proposed multiobjective method is applied to the Garver 6-bus, IEEE 24-bus, and IEEE 118-bus test systems, and the results are compared with the well-known epsilon-constraint method

Low-carbon reliable transmission expansion planning with large-scale renewable energy integration.

Modern electricity systems are changed by the following factors: the development of emerging technologies including renewable energy, carbon capture, power electronics devices, the participation of the demand side in the electricity market; the retirement of aging coal-fired power plants (CFPP); and the implementation of carbon policies. Under the pressure of these changes, transmission systems require augmentations and upgrades to achieve operation safety and reliability requirements. New electricity network planning methods need to be developed to address the above changes. In this research study, the traditional transmission expansion planning (TEP) methods have been improved to adapt to the above changes from three aspects, namely economics, risks, and carbon emissions. To reduce the cost of planning, non-network solutions are coordinated in the TEP model. In terms of the low-carbon transformation: the TEP model is used for considering the CFPP retrofit with post-combustion carbon capture (PCC); while CFPP retirement and replacement models are proposed for aging CFPP. The Pareto optimality of aging CFPP retirement and replacement among three conflicting objectives including carbon emissions, total expenditure, and the operation risks are solved. Moreover, the effect of carbon policies including the carbon tax and carbon trading on TEP are tested. To address the reliability issues, a probability reliability assessment method, a renewable ramping cost model, and a novel risk index are developed to assess the risk in the power systems considering the large integration of renewable energy. The effectiveness of the proposed planning methods has been demonstrated in a few benchmark test systems. Simulations have been used to assess the efficiencies and advantages of each approach. This research study can be used to guide the low- carbon transformation of the electricity systems and it can give suggestions to system planners, power generation companies, and policy makers

Low-carbon Energy Transition and Planning for Smart Grids

With the growing concerns of climate change and energy crisis, the energy transition from fossil-based systems to a low-carbon society is an inevitable trend. Power system planning plays an essential role in the energy transition of the power sector to accommodate the integration of renewable energy and meet the goal of decreasing carbon emissions while maintaining the economical, secure, and reliable operations of power systems. In this thesis, a low-carbon energy transition framework and strategies are proposed for the future smart grid, which comprehensively consider the planning and operation of the electricity networks, the emission control strategies with the carbon response of the end-users, and carbon-related trading mechanisms. The planning approach considers the collaborative planning of different types of networks under the smart grid context. Transportation electrification is considered as a key segment in the energy transition of power systems, so the planning of charging infrastructure for electric vehicles (EVs) and hydrogen refueling infrastructure for fuel cell electric vehicles is jointly solved with the electricity network expansion. The vulnerability assessment tools are proposed to evaluate the coupled networks towards extreme events. Based on the carbon footprint tracking technologies, emission control can be realized from both the generation side and the demand side. The operation of the low-carbon oriented power system is modeled in a combined energy and carbon market, which fully considers the carbon emission right trading and renewable energy certificates trading of the market participants. Several benchmark systems have been used to demonstrate the effectiveness of the proposed planning approach. Comparative studies to existing approaches in the literature, where applicable, have also been conducted. The simulation results verify the practical applicability of this method