Profit-Based Unit Commitment for a GENCO Equipped with Compressed Air Energy Storage and Concentrating Solar Power Units

With the advent of restructuring in the power industry, the conventional unit commitment problem in power systems, involving the minimization of operation costs in a traditional vertically integrated system structure, has been transformed to the profit-based unit commitment (PBUC) approach, whereby generation companies (GENCOs) perform scheduling of the available production units with the aim of profit maximization. Generally, a GENCO solves the PBUC problem for participation in the day-ahead market (DAM) through determining the commitment and scheduling of fossil-fuel-based units to maximize their own profit according to a set of forecasted price and load data. This study presents a methodology to achieve optimal offering curves for a price-taker GENCO owning compressed air energy storage (CAES) and concentrating solar power (CSP) units, in addition to conventional thermal power plants. Various technical and physical constraints regarding the generation units are considered in the provided model. The proposed framework is mathematically described as a mixed-integer linear programming (MILP) problem, which is solved by using commercial software packages. Meanwhile, several cases are analyzed to evaluate the impacts of CAES and CSP units on the optimal solution of the PBUC problem. The achieved results demonstrate that incorporating the CAES and CSP units into the self-scheduling problem faced by the GENCO would increase its profitability in the DAM to a great exten

An Evolutionary Computational Approach for the Problem of Unit Commitment and Economic Dispatch in Microgrids under Several Operation Modes

In the last decades, new types of generation technologies have emerged and have been gradually integrated into the existing power systems, moving their classical architectures to distributed systems. Despite the positive features associated to this paradigm, new problems arise such as coordination and uncertainty. In this framework, microgrids constitute an effective solution to deal with the coordination and operation of these distributed energy resources. This paper proposes a Genetic Algorithm (GA) to address the combined problem of Unit Commitment (UC) and Economic Dispatch (ED). With this end, a model of a microgrid is introduced together with all the control variables and physical constraints. To optimally operate the microgrid, three operation modes are introduced. The first two attend to optimize economical and environmental factors, while the last operation mode considers the errors induced by the uncertainties in the demand forecasting. Therefore, it achieves a robust design that guarantees the power supply for different confidence levels. Finally, the algorithm was applied to an example scenario to illustrate its performance. The achieved simulation results demonstrate the validity of the proposed approach.Ministerio de Ciencia, Innovación y Universidades TEC2016-80242-PMinisterio de Economía y Competitividad PCIN-2015-043Universidad de Sevilla Programa propio de I+D+

Meta-heurísticas aplicadas em problemas de sistemas elétricos de potência com mercado atacadista de energia

This paper presents methodologies to address two important issues in the electrical sector: Thermal Unit Commitment and Electric Power Transmission Expansion Planning. Both will be addressed in the context of a decentralized Wholesale Electricity Market, where sellers and buyers freely negotiate energy through hourly auctions on the Power Exchanges (PX) platform. The problem of Profit-Based Unit Commitment (PBUC) will be solved using metaheuristics and priority lists. The solution to this problem aims to maximize the profit of a generation company by selling energy in the Day-Ahead market and selling reserve in the Reserve Capacity market over 24 hours. Modifications are proposed to improve the performance of the metaheuristic Genetic Algorithm (GA) in solving the PBUC. The problem of Transmission Network Expansion Planning in Wholesale Electricity Markets will be solved using the Grey Wolf Optimization (GWO) metaheuristic. For this purpose, a stochastic model is proposed that takes into account uncertainties regarding wind generation supply and Day-Ahead market demand. The objective of this model is to assist the transmission network planner in identifying plans that improve the economic efficiency of the system, prioritizing electricity transactions. Results obtained from test systems show that the proposed methodologies are promising for real-world applications.Esta dissertação apresenta metodologias para tratar duas questões importantes do setor elétrico: o Unit Commitment Térmico e o Planejamento da Expansão da Transmissão de Energia Elétrica. Ambas serão tratadas no contexto de um Mercado Atacadista de Energia Elétrica descentralizado, onde vendedores e compradores negociam livremente a energia e serviços correlatos através de leilões horários na plataforma Power Exchanges (PX). O problema de Profit-Based Unit Commitment (PBUC) será solucionado através de meta-heurísticas e lista de prioridades. A solução desse problema busca maximizar o lucro de uma empresa de geração com a venda de energia no mercado do Dia Seguinte e a venda de reserva do mercado de Capacidade de Reserva ao longo de 24 horas. Modificações são propostas para melhorar o desempenho da meta-heurística Algoritmo Genético (AG) na resolução do PBUC. O problema de Planejamento da Expansão da Rede de Transmissão em Mercados Atacadistas de Energia será resolvido através da meta-heurística Grey Wolf Optimization (GWO). Para isso, é proposto um modelo estocástico que leva em consideração as incertezas quanto à oferta de geração eólica e à demanda do mercado Dia Seguinte. O objetivo deste modelo é ajudar o planejador da rede de transmissão a identificar planos que melhorem a eficiência econômica do sistema, priorizando transações de energia elétrica. Resultados obtidos com sistemas teste mostram que as metodologias propostas são promissoras para aplicações em sistemas reais.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superio

Selected Papers from the ICEUBI2019 - International Congress on Engineering - Engineering for Evolution

Energies SI Book "Selected Papers from the ICEUBI2019 – International Congress on Engineering – Engineering for Evolution", groups six papers into fundamental engineering areas: Aeronautics and Astronautics, and Electrotechnical and Mechanical Engineering. ICEUBI—International Congress on Engineering is organized every two years by the Engineering Faculty of Beira Interior University, Portugal, promoting engineering in society through contact among researchers and practitioners from different fields of engineering, and thus encouraging the dissemination of engineering research, innovation, and development. All selected papers are interrelated with energy topics (fundamentals, sources, exploration, conversion, and policies), and provide relevant data for academics, research-focused practitioners, and policy makers

Enhancement of Industrial Energy Efficiency and Sustainability

Industrial energy efficiency has been recognized as a major contributor, in the broader set of industrial resources, to improved sustainability and circular economy. Nevertheless, the uptake of energy efficiency measures and practices is still quite low, due to the existence of several barriers. Research has broadly discussed them, together with their drivers. More recently, many researchers have highlighted the existence of several benefits, beyond mere energy savings, stemming from the adoption of such measures, for several stakeholders involved in the value chain of energy efficiency solutions. Nevertheless, a deep understanding of the relationships between the use of the energy resource and other resources in industry, together with the most important factors for the uptake of such measures—also in light of the implications on the industrial operations—is still lacking. However, such understanding could further stimulate the adoption of solutions for improved industrial energy efficiency and sustainability

ReSCon '12, Research Student Conference: Book of Abstracts

The fifth SED Research Student Conference (ReSCon2012) was hosted over three days, 18-20 June 2012, in the Hamilton Centre at Brunel University. The conference consisted of 130 oral and 70 poster presentations, based on the high quality and diverse research being conducted within the School of Engineering and Design by postgraduate research students. The conference is held annually, and ReSCon plays a key role in contributing to research and innovations within the School