186 documents found, page 1 of 19
Understanding private consultants’ involvement in technology transfer – a case ...
Soares, João; Romero, Fernando; Nunes, Manuel Lopes; Braga, A. C.Purpose: In the realm of innovation systems and technology transfer (TT), the emergence of open innovation and complex market dynamics has amplified innovation intermediaries’ prominence of their role and involvement in TT projects. This study delves into private consultants’ involvement in TT projects, namely in what got them involved by the project’s key stakeholders. Design/methodology/approach: An iterative...
WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: A...
Rodríguez-González, Ansel Y.; Lezama, Fernando; Martínez-López, Yoan; Madera, Julio; Soares, João; Vale, ZitaEvolutionary computation is attracting attention in the energy domain as an alternative to tackle inherent mathematical complexity of some problems related to high-dimensionality, non-linearity, non-convexity, multimodality, or discontinuity of the search space. In this context, the research community launched the 2020 ”Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications” and a...
Intraday Energy Resource Scheduling for Load Aggregators Considering Local Market
Almeida, José; Soares, João; Canizes, Bruno; Razo-Zapata, Ivan; Vale, ZitaDemand response (DR) programs and local markets (LM) are two suitable technologies to mitigate the high penetration of distributed energy resources (DER) that is vastly increasing even during the current pandemic in the world. It is intended to improve operation by incorporating such mechanisms in the energy resource management problem while mitigating the present issues with Smart Grid (SG) technologies and op...
Robust Energy Scheduling for Smart Buildings Considering Uncertainty in PV Gene...
Foroozandeh, Zahra; Tavares, Ines; Soares, João; Ramos, Sérgio; Vale, ZitaThe fast growth of renewable energy sources in the residential building led to a complex problem related to the energy management system: the uncertainty associated with the forecast of photovoltaic power generation. To solve this challenge, this paper proposes a robust optimization model to obtain the optimal solution for the worst-case scenario of photovoltaic generation. A Mixed Binary Linear Programming pro...
An Optimization-Based Topology Error Detection Method for Power System State Es...
Srivastava, Ankur; Chakrabarti, Saikat; Soares, João; Singh, Sri NiwasThe paper presents an optimization-based method for topology error detection in power systems. The method utilizes the residual analysis in state estimation and minimization of normalized measurement residual, with the application of matrix inverse lemma. The work considers a hybrid measurement configuration, i.e., both SCADA and PMU measurements, for the test systems studied. The proposed method is implemented...
Techno-Economic Analysis of Renewable-Energy-Based Micro-Grids Considering Ince...
Amini, Shiva; Bahramara, Salah; Golpîra, Hêmin; Francois, Bruno; Soares, JoãoRenewable-energy-based microgrids (MGs) are being advocated around the world in response to increasing energy demand, high levels of greenhouse gas (GHG) emissions, energy losses, and the depletion of conventional energy resources. However, the high investment cost of the MGs besides the low selling price of the energy to the main grid are two main challenges to realize the MGs in developing countries such as I...
Goal Programming Approach for Energy Management of Smart Building
Foroozandeh, Zahra; Ramos, Sérgio; Soares, João; Vale, ZitaIn this paper, a collective residential building is considered in which the following points are taken into consideration: (i) a flexibility value of Contract Power (CP) is considered for each consumer; (ii) it is assumed a single CP for the entire building; (iii) an energy resource manager entity is considered to manage the energy resources in the residential building, such as Electric Vehicles (EVs), Photovol...
Cross Entropy Covariance Matrix Adaptation Evolution Strategy for Solving the B...
Dabhi, Dharmesh; Pandya, Kartik; Soares, João; Lezama, Fernando; Vale, ZitaThe increased penetration of renewables in power distribution networks has motivated significant interest in local energy systems. One of the main goals of local energy markets is to promote the participation of small consumers in energy transactions. Such transactions in local energy markets can be modeled as a bi-level optimization problem in which players (e.g., consumers, prosumers, or producers) at the upp...
Preliminary results of advanced heuristic optimization in the risk-based energy...
Almeida, José; Lezama, Fernando; Soares, João; Vale, Zita; Canizes, BrunoIn this paper, multiple evolutionary algorithms are applied to solve an energy resource management problem in the day-ahead context involving a risk-based analysis corresponding to the proposed 2022 competition on evolutionary computation. We test numerous evolutionary algorithms for a risk-averse day-ahead operation to show preliminary results for the competition. We use evolutionary computation to follow the ...
Electric vehicles local flexibility strategies for congestion relief on distrib...
Soares, João; Almeida, José; Gomes, Lucas; Canizes, Bruno; Vale, Zita; Neto, EdisonDue to the rising concern for the environment and sustainability issues, the transportation system is experiencing important changes to its paradigm, with the increasing replacement of internal combustion vehicles by electric ones. Consequently, the electric systems need to adapt to the ever-increasing load demand from the grid and the challenge to identify driving patterns in electric vehicle users’ behavior. ...