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EN
Achieving optimal utilization of multiple combined heat and power (CHP) systems is a complex problem that requires powerful methods for resolution. This paper presents a harmony search (HS) algorithm to address the economic dispatch issue in CHP (CHPED ). The recently developed metaheuristic HS algorithm has been successfully employed in a wide range of optimization problems. The method is demonstrated through a test case from existing literature and a new one proposed by the authors. Numerical results indicate that the proposed algorithm can identify superior solutions compared to traditional methods, and that the Harmony Search algorithm can be effectively applied to CHPED-related problems.
EN
This paper presents an ecient method to solve an economic load dispatch problem with load flow type network security constraints: the active generation limits and line active power flows limits. A new form of linear programming method is proposed: a variable weights linear programming. The nonlinear dispatch problem is transformed into a linear one through variable weights linear programming. To achieve good linear, representation the nonlinear cost functions between the active generation limits are approximated by the sum of products of cost values multiplied by the variable weights. The nonlinear equality network constraint containing the losses expressed by the specially formulated and calculated function of generated powers is transformed into a linear one, the same manner as above. The set of nonlinear inequality constraints on line active power flows is linearly expressed in terms of active bus generation powers with upper limits on the active power flow to each violating lines. The dispatch problem transformed this manner with or without solving the load flow problem is demonstrated that the proposed method has practical application for real-time control/dispatch.
3
Content available remote Harmony Search Algorithm to solve Dynamic Economic Environmental Dispatch (DEED)
EN
This paper presents an application of Harmony Search algorithm (HSA) to solve the Dynamic Economic-Environmental Dispatch (DEED) problem under some equality and inequality constraints. The equality constraints reflect a real power balance, and the inequality constraint reflects the limits of real generation. The voltage levels and security are assumed to be constant. Dynamic Economic-Environmental Dispatch problem is obtained by considering both the economy and emission objectives. This bi-objective problem is converted into a single objective function using a price penalty factor. Harmony Search algorithm is tested on six generators system and its results are compared with the solutions obtained in paper of Keerati. The results are quite encouraging and useful in the economic emission environment.
PL
Zbadano zastosowanie algorytmu HSA do rozwiązania problemów dynamicznego rozsyłu energii. Uwzględniono realny balans mocy jak i realne ograniczenia. Algorytm przetestowano na sześciu systemach.
EN
This paper presents an optimal control method entitled ant colony PI controller (ACO-PI) for extracting the reference compensating currents to shunt active power filter (SAPF) under balanced voltages conditions, which is applied to eliminate line current harmonics and compensate reactive power. Two different control methods has been proposed for SAPF based on proportional-integral (PI) controller and intelligent PI-controller with ACO are presented. The identification theory based on instantaneous power (p-q) is used to establish the suitable current reference signals. The simulation results show that the new control method using ACO approach is not only easy to be implanted, but also very effective in reducing the unwanted harmonics and compensating reactive power. The studies carried out have been accomplished using the MATLAB Simulink Power System Toolbox.
PL
W artykule zaprezentowano wykorzystanie kontrolera PI bazującego na algorytmie mrówkowym ACO do sterowania aktywnym filtrem mocy. Zaproponowano dwie metody sterowania – z kontrolerem PI I kontrolerem ACO. Symulacje wykazały że nowy kontroler jest nie tylko łatwy do implementacji ale także efektywnie redukuje niepożądane harmoniczne i moc bierną.
5
Content available remote Optimization of the emission and economic dispatch by the genetic algorithm
EN
This paper presents an efficient and reliable technique of optimization with combined economic emission dispatch. This problem has been formulated as a multi-objective problem by considering both economy and emission simultaneously. The bi-objective problem is converted into single objective function using hybrid factor in the proposed approach. The optimal solution of problem is determined by genetic algorithm. This approach has been tested on Indian utility-62 bus systems consisting of 19 generators with line flow constraints. The solutions obtained are quite encouraging and useful in the present deregulated environment.
PL
W artykule zaprezentowano skuteczną i niezawodną metodę optymalizacji rozsyłu energii z uwzględnieniem aspektów ekonomicznych i środowiskowych. Zadanie potraktowano jako problem wieloskładnikowy rozważając oba aspekty równocześnie. Zaproponowano przekształcenie problemu dwuskładnikowego w jednoskładnikowy przy wykorzystaniu współczynnika hybrydowego. Do rozwiązania problemu zastosowano algorytmy genetyczne. Metoda została przetestowana w systemie 62-szynowym składającym się z 19 generatorów. Otrzymano zadawalające wyniki.
EN
This paper presents the Genetic Algorithms (GA) and Hopfield Neural Network (HNN) to solve the Combined Economic and Emission Dispatch (CEED) problem. The equality constraints of power balance and the inequality generator capacity constraints are considered. The CEED problem is a bi-objective non linear optimization problem since it is obtained by considering both the economy and emission objectives. This bi-objectives problem is converted into a single objective function using a price penalty factor approach. In this paper AG and HNN are tested on six generators system and the results are compared. The solutions are quite encouraging and useful in the CEED.
PL
Artykuł przedstawia wykorzystanie algorytmów genetycznych i neuronowej sieci Hopfielda do rozwiązywania problemu emisji zanieczyszczeń CEED. Rozważono równość balansu mocy i nierówność obciążenia generatora. Problem CEED jest problemem optymalizacji biorącym pod uwagę równowagę kosztów paliwa i emisji zanieczyszczeń. Problem ten został sprowadzony do pojedynczej funkcji celu uwzględniającej koszty kary. Zagadnienie przetestowano na przykładzie sześciu generatorów.
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