A mixed-integer nonlinear programming paradigm to solve multi fuel-based environmentally-constrained active-reactive optimal power flow

• Grant number: 14/22828-3
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: March 01, 2015
• End date: October 14, 2016
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: José Roberto Sanches Mantovani
• Grantee: Mahdi Pourakbari Kasmaei
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil
• Associated scholarship(s): 16/14319-7 - Online carbon footprint Allocation- a joint Price- and carbon Footprint: responsive demands model to reduce the GHG emissions and manage the electricity demand, BE.EP.PD

Abstract

Nowadays the power systems are becoming more competitive; as a result, demanding of more precise and practical models is increasing. This motivates the researchers to focus more on the practical aspects of a power system and develop or propose novel approaches, models, or paradigms. On the other hand, in real world those developments which are solvable via commercial solvers (solver-friendly) are more demanded, therefore, studies on these kinds of novelties are growing. In this regard, the solvers' developers are trying to empower the solvers to address the current concerns of researchers and companies to obtain a faster and more precise solution. Among the practical aspects of a power system, those with discontinuous characteristics are the most complicated aspects to be considered. For example, in optimal power flow (OPF) problems, the prohibited operating zones (POZs) and multiple fuel options are the discontinuous characteristics of generation units. Until now, a nonlinear solver that can handle the discontinuous and logical constraints of nonlinear optimization problems does not exist; therefore, the researchers that concern about such constraints are developing or creating the heuristic-based algorithm to find an optimal solution. The lack of a mathematical model, which is solvable by commercial solvers, for OPF problems considering multiple fuel options and POZs is considered as a big gap in this area of research. In this project, three mixed-integer nonlinear programming model (MINLP) must be investigated to fill the aforementioned existing research gaps. In an economic-oriented OPF, the POZs are considered as constraints while the multiple fuel options is appeared in the objective function as a term of cost function, then the POZs and multiple fuel options have different effects in the problem modeling; in this regard, three different MINLP models must be investigated to address the following existing concerns: 1) OPF problem considering POZs; 2) OPF problem with multiple fuel options; and 3) Multiple fuel-based OPF problem considering POZs. And finally in order to have a more practical model, the effects of reactive power on active power generation via the capability curve, which is a highly nonlinear constraint, is taken into consideration where to address the existing concerns about harmful environmental effects of each technology used to generate electricity, the emission limits such as area emission limits (EMA), sub-area emission limits (EMSA), and system emission limits (EMS) are taken into account as well. In this regard, an environmentally-constrained active-reactive OPF model must be developed. Consequently, the final outcomes of this research project are to propose three Mixed-Integer Nonlinear Programming Models to solve the Environmentally-Constrained Active-Reactive Optimal Power Flow considering POZs, multiple fuel options, and both POZs and multiple fuel options simultaneously. (AU)

Scientific publications

(13)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

CERNA, FERNANDO V.; POURAKBARI-KASMAEI, MAHDI; ROMERO, RUBEN A.; RIDER, MARCOS J.. Optimal Delivery Scheduling and Charging of EVs in the Navigation of a City Map. IEEE TRANSACTIONS ON SMART GRID, v. 9, n. 5, p. 4815-4827, SEP 2018. (16/14319-7, 14/22828-3)

POURAKBARI-KASMAEI, MAHDI; LEHTONEN, MATTI; CONTRERAS, JAVIER; SANCHES MANTOVANI, JOSE ROBERTO. Carbon Footprint Management: A Pathway Toward Smart Emission Abatement. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v. 16, n. 2, p. 935-948, FEB 2020. (16/14319-7, 15/21972-6, 14/22828-3)

POURAKBARI-KASMAEI, MAHDI; LEHTONEN, MATTI; FOTUHI-FIRUZABAD, MAHMUD; MARZBAND, MOUSA; SANCHES MANTOVANI, JOSE ROBERTO. Optimal power flow problem considering multiple-fuel options and disjoint operating zones: A solver-friendly MINLP model. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v. 113, p. 45-55, DEC 2019. (16/14319-7, 15/21972-6, 14/22828-3)

POURAKBARI-KASMAEI, MANDI; SANCHES MANTOVANI, JOSE ROBERTO. Logically constrained optimal power flow: Solver-based mixed-integer nonlinear programming model. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v. 97, p. 240-249, APR 2018. (16/14319-7, 14/22828-3)

POURAKBARI-KASMAEI, MAHDI; RIDER, MARCOS JULIO; SANCHES MANTOVANI, JOSE ROBERTO. Multi-area environmentally constrained active-reactive optimal power flow: a short-term tie line planning study. IET GENERATION TRANSMISSION & DISTRIBUTION, v. 10, n. 2, p. 299-309, FEB 4 2016. (14/22828-3, 13/23590-8)

MELGAR DOMINGUEZ, OZY D.; KASMAEI, MAHDI POURAKBARI; LAVORATO, MARINA; SANCHES MANTOVANI, JOSE R.. Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems. ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, v. 9, n. 3, p. 22-pg., 2018-08-01. (14/22828-3, 16/14319-7)

MELGAR DOMINGUEZ, OZY D.; POURAKBARI-KASMAEI, MAHDI; SANCHES MANTOVANI, JOSE ROBERTO; LAVORATO, MARINA; IEEE. Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizing. 2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), v. N/A, p. 6-pg., 2017-01-01. (14/22828-3, 16/14319-7)

POURAKBARI-KASMAEI, MAHDI; SANCHES MANTOVANI, JOSE ROBERTO; RASHIDINEJAD, MASOUD; HABIBI, MOHAMMAD REZA; CONTRERAS, JAVIER; IEEE. Carbon Footprint Allocation Among Consumers and Transmission Losses. 2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), v. N/A, p. 6-pg., 2017-01-01. (14/22828-3, 16/14319-7)

MELGAR DOMINGUEZ, OZY D.; KASMAEI, MAHDI POURAKBARI; LAVORATO, MARINA; SANCHES MANTOVANI, JOSE R.. Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems. ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, v. 9, n. 3, SI, p. 529-550, AUG 2018. (16/14319-7, 14/22828-3)

CERNA, FERNANDO V.; POURAKBARI-KASMAEI, MAHDI; CONTRERAS, JAVIER; GALLEGO, LUIS A.. Optimal Selection of Navigation Modes of HEVs Considering CO2 Emissions Reduction. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v. 68, n. 3, p. 2196-2206, MAR 2019. (16/14319-7, 14/22828-3)

POURAKBARI-KASMAEI, MANDI; CONTRERAS, JAVIER; SANCHES MANTOVANI, JOSE ROBERTO. A demand power factor-based approach for finding the maximum loading point. Electric Power Systems Research, v. 151, p. 283-295, OCT 2017. (16/14319-7, 14/22828-3)

DE JESUS DELGADO, MARCOS ANDRE; POURAKBARI-KASMAEI, MAHDI; RIDER, MARCOS JULIO; IEEE. A Branch and Bound Algorithm to Solve Nonconvex MINLP Problems via Novel Division Strategy: An Electric Power System Case Study. 2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), v. N/A, p. 6-pg., 2017-01-01. (14/22828-3, 16/14319-7)

CERNA, FERNANDO V.; POURAKBARI-KASMAEI, MAHDI; GALLEGO, LUIS A. P.; TSUZUKI, MDG; JUNQUEIRA, F. Evaluation of the Performance of HEV Technologies using a MILP Model to Minimize Pollutants Emissions. 2018 13TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON), v. N/A, p. 7-pg., 2018-01-01. (14/22828-3)