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    Wyświetlanie 1-7 z 7
    Tytuł:
    Reactive power based fair calculation approach for multiobjective load dispatch problem
    Autorzy:
    Pal Singh, Harinder
    Singh Brar, Yadwinder
    Kothari, D.P.
    Powiązania:
    https://bibliotekanauki.pl/articles/140954.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    combined active reactive economic dispatch
    combined active reactive emission dispatch
    economic load dispatch
    multiobjective load dispatch
    Opis:
    This paper proposes a fair calculation approach for the cost and emission of generators. Generators also have reactive power requirements along with the active power demand to meet up the total power demand. In this paper, firstly the reactive power is calculated considering the random active power operating points on the capability curve of a generator then the cost for reactive power generation as well as emission are calculated. In order to develop the mathematical function for the reactive power cost and reactive power emission, a curve-fitting technique is applied, which gives the generalised reactive power cost and reactive power emission functions. At the end, the problem is formulated as a multiobjective problem, considering conflicting objectives such as combined activereactive economic dispatch and combined active-reactive emission dispatch. The problem is converted from the multiobjective load dispatch problem (MOLDP) into a scalar problem, using the weighting method and the best compromised solution has been calculated using the particle swarm optimization (PSO) technique. A fuzzy cardinal method has been applied to choose the best solution. In order to demonstrate the efficiency of developed functions the proposed method is applied on a 3 generator unit system and a 10 generator unit system, the results obtained show its validity and effectiveness.
    Źródło:
    Archives of Electrical Engineering; 2019, 68, 4; 719-735
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Economic dispatch in power system networks including renewable energy resources using various optimization techniques
    Autorzy:
    Hafiz, Abrar Mohamed
    Abdelrahman, M. Ezzat
    Temraz, Hesham
    Powiązania:
    https://bibliotekanauki.pl/articles/1841222.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Economic Dispatch (ED)
    Particle Swarm Optimization (PSO)
    Sine-Cosine
    Algorithm (SCA)
    Photovoltaic (PV)
    Opis:
    Economic dispatch (ED) is an essential part of any power system network. ED is how to schedule the real power outputs from the available generators to get the minimum cost while satisfying all constraints of the network. Moreover, it may be explained as allocating generation among the committed units with the most effective minimum way in accordance with all constraints of the system. There are many traditional methods for solving ED, e.g., Newton-Raphson method Lambda-Iterative technique, Gaussian-Seidel method, etc. All these traditional methods need the generators’ incremental fuel cost curves to be increasing linearly. But practically the input-output characteristics of a generator are highly non-linear. This causes a challenging non-convex optimization problem. Recent techniques like genetic algorithms, artificial intelligence, dynamic programming and particle swarm optimization solve nonconvex optimization problems in a powerful way and obtain a rapid and near global optimum solution. In addition, renewable energy resources as wind and solar are a promising option due to the environmental concerns as the fossil fuels reserves are being consumed and fuel price increases rapidly and emissions are getting higher. Therefore, the world tends to replace the old power stations into renewable ones or hybrid stations. In this paper, it is attempted to enhance the operation of electrical power system networks via economic dispatch. An ED problem is solved using various techniques, e.g., Particle Swarm Optimization (PSO) technique and Sine-Cosine Algorithm (SCA). Afterwards, the results are compared. Moreover, case studies are executed using a photovoltaic-based distributed generator with constant penetration level on the IEEE 14 bus system and results are observed. All the analyses are performed on MATLAB software.
    Źródło:
    Archives of Electrical Engineering; 2021, 70, 3; 643-655
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Economic Dispatch for on-line operation of grid-connected microgrids
    Autorzy:
    Cagnano, A.
    De Tuglie, E.
    Marcone, F.
    Porro, G.
    Rasolomampionona, D. D.
    Powiązania:
    https://bibliotekanauki.pl/articles/200425.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    microgrids
    on-line economic dispatch
    distributed energy sources
    active distribution network
    microgrid planning
    Opis:
    In this paper, a control strategy for real-time operation of a master-slave controlled microgrid is developed. The basic idea of this control strategy is to schedule all dispatchable energy sources available into a microgrid to minimize its operational costs. Control actions are centrally evaluated by solving a two-stage optimization problem formulated to take place on two different time-scales: in the day-ahead and in the real-time. The first one provides a 24-hour plan in advance. It mainly draws up the active power levels that Distributed Energy Resources (DERs) should provide for each quarter hour of the next day by taking into account energy prices of the day-ahead energy market, the forecasted energy production of non-dispatchable renewables and loads. The real-time optimization problem updates the active power set-points of DERs in order to minimize as much as possible the real-time deviations between the actual power exchanged with the utility grid and its scheduled value. The effectiveness of the proposed methodology has been experimentally tested on an actual microgrid.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 4; 651-659
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-objective dynamic economic dispatch using Fruit Fly Optimization method
    Autorzy:
    Arsyad, Haripuddin
    Suyuti, Ansar
    Said, Sri Mawar
    Akil, Yusri Syam
    Powiązania:
    https://bibliotekanauki.pl/articles/1841297.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    dynamic economic dispatch
    Fruit Fly Optimization method
    multi-objective
    dynamiczna wysyłka ekonomiczna
    Metoda optymalizacji muszki owocowej
    wielocelowy
    Opis:
    An essential task of the interconnected power system is about how to optimize power plants during operation time which is known as economic dispatch. In this study, the Fruit Fly Optimization method is proposed to solve problems of dynamic economic dispatch in an electrical power system. To measure the performance of the method, a simulation was conducted for two different electric systems of the existing Sulselbar 150 kV thermal power plant system in Indonesia with two objective functions, namely fuel costs and active power transmission losses, aswell as the 30-bus IEEE standard system with five objective functions namely fuel costs, transmission losses (active and reactive power), a reactive power reserve margin, and an emission index by considering a power generation limit and ramp rates as the constraints. Under tested cases, the simulation results have shown that the Fruit Fly Optimization method can solve the problems of dynamic economic dispatch better than other existing optimization methods. It is indicated by all values of the objective functions that are lowest for the Fruit Fly Optimization method. Moreover, the obtained computational time is sufficiently fast to get the best solution.
    Źródło:
    Archives of Electrical Engineering; 2021, 70, 2; 351-366
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Deterministically guided differential evolution for constrained power dispatch with prohibited operating zones
    Autorzy:
    Jasper, J.
    Victoire, T. A. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/950670.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    economic load dispatch
    differential evolution
    variable neighborhood search
    prohibited operating zones
    valve point effect
    Opis:
    Department of Electrical Engineering, Anna University Regional Centre, Coimbatore, India This paper presents a new approach to solve economic load dispatch (ELD) problem in thermal units with non-convex cost functions using differential evolution technique (DE). In practical ELD problem, the fuel cost function is highly non linear due to inclusion of real time constraints such as valve point loading, prohibited operating zones and network transmission losses. This makes the traditional methods fail in finding the optimum solution. The DE algorithm is an evolutionary algorithm with less stochastic approach to problem solving than classical evolutionary algorithms.DE have the potential of simple in structure, fast convergence property and quality of solution. This paper presents a combination of DE and variable neighborhood search (VNS) to improve the quality of solution and convergence speed. Differential evolution (DE) is first introduced to find the locality of the solution, and then VNS is applied to tune the solution. To validate the DE-VNS method, it is applied to four test systems with non-smooth cost functions. The effectiveness of the DE-VNS over other techniques is shown in general.
    Źródło:
    Archives of Electrical Engineering; 2013, 62, 4; 593-603
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of three approaches to the security constrained unit commitment problem
    Porównanie wariantów modeli doboru jednostek i ekonomicznego rozdziału obciążeń
    Autorzy:
    Drabecki, Mariusz
    Toczyłowski, Eugeniusz
    Powiązania:
    https://bibliotekanauki.pl/articles/266349.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
    Tematy:
    security constrained unit commitment
    economic dispatch
    optimal power flow
    active and reactive power
    dobór jednostek
    ekonomiczny rozdział obciążeń
    optymalny rozpływ mocy czynnej
    optymalny rozpływ mocy biernej
    Opis:
    A two phase approach to obtain feasibility of the Security Constrained Unit Commitment schedules is analysed. In the first planning phase a computationally tractable variant of the security constrained UC problem is considered with a simplified representation of the network flows. Three computationally tractable variants of the UC problem formulations are investigated: (i) UC_NN model without network flow constraints, (ii) UC_NC model with network constraints reflected by enforcing nodal constraints at the bus level, and (iii) UC_DC model by enforcing network constraints on active power flows. These models are tested and compared with respect to efficiency, computational burden and complexity of the corrective actions performed by TSO in the operational phase to meet security and technical requirements of the system.
    W pracy jest analizowane podejście dwufazowe do problemu doboru jednostek i ekonomicznego rozdziału obciążeń w systemie elektroenergetycznym. W pierwszej fazie planistycznej jest rozważany uproszczony wariant problemu doboru jednostek i ekonomicznego rozdziału obciążeń z uproszczonym modelem ograniczeń sieciowych rozpływu mocy. Badane są trzy realistyczne obliczeniowo warianty modelu doboru jednostek i ekonomicznego rozdziału obciążeń: (i) model UC_NN bez ograniczeń sieciowych, (ii) restrykcyjny model UC_NC z ograniczeniami sieciowymi w postaci ograniczeń przepływu na poziomie szyn i łączy, and (iii) model UC_DC uwzględniający model rozpływu mocy czynnej w sieci. Modele te są testowane symulacyjnie i porównywane pod względem obliczeniowym, efektywnościowym oraz złożoności i jakości akcji dostosowawczych Operatora Sieci Przesyłowej w drugiej fazie operacyjnych działań pozwalających na uzyskanie stanów sieci spełniających wymagania bezpieczeństwa i ograniczenia techniczne.
    Źródło:
    Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2019, 62; 67-70
    1425-5766
    2353-1290
    Pojawia się w:
    Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Allocation of real power generation based on computing over all generation cost: an approach of Salp Swarm Algorithm
    Autorzy:
    Devarapalli, Ramesh
    Sinha, Nikhil Kumar
    Rao, Bathina Venkateswara
    Knypiński, Łukasz
    Lakshmi, Naraharisetti Jaya Naga
    García Márquez, Fausto Pedro
    Powiązania:
    https://bibliotekanauki.pl/articles/1841291.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    economic load dispatch
    heuristic algorithms
    optimization
    Particle Swarm
    Algorithm
    Salp Swarm Algorithm
    ekonomiczna wysyłka ładunku
    algorytmy heurystyczne
    optymalizacja
    rój cząstek
    algorytm
    Opis:
    Economic Load Dispatch (ELD) is utilized in finding the optimal combination of the real power generation that minimizes total generation cost, yet satisfying all equality and inequality constraints. It plays a significant role in planning and operating power systems with several generating stations. For simplicity, the cost function of each generating unit has been approximated by a single quadratic function. ELD is a subproblem of unit commitment and a nonlinear optimization problem. Many soft computing optimization methods have been developed in the recent past to solve ELD problems. In this paper, the most recently developed population-based optimization called the Salp Swarm Algorithm (SSA) has been utilized to solve the ELD problem. The results for the ELD problem have been verified by applying it to a standard 6-generator system with and without due consideration of transmission losses. The finally obtained results using the SSA are compared to that with the Particle Swarm Optimization (PSO) algorithm. It has been observed that the obtained results using the SSA are quite encouraging.
    Źródło:
    Archives of Electrical Engineering; 2021, 70, 2; 337-349
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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