M. Jalilian; A. Rastgou; S. kharrati; S. Hosseini-Hemati
Abstract
Nowadays, in order to improve the dynamic performance of power networks and frequency control, LFC system is used in power plants. The presence of photovoltaic (PV) and wind turbine (WT) sources causes momentary changes in production and complicates the network frequency control process. In this paper, ...
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Nowadays, in order to improve the dynamic performance of power networks and frequency control, LFC system is used in power plants. The presence of photovoltaic (PV) and wind turbine (WT) sources causes momentary changes in production and complicates the network frequency control process. In this paper, the random programming method with the Latin hypercube sampling pattern (LHS) is used to model the uncertainties of generating PV and PW sources. Also, to reduce the impact of the uncertainty of PV and PW sources on the frequency fluctuation, superconducting magnetic energy storage (SMES) has been used. Due to the fast dynamic response and favorable inertia characteristic of SMES, the performance of LFC and the stability of the system have been ameliorated. The simulation results in MATLAB software show that by step changes in the system load to the value of 0.1 pu, in the presence of SMES storage, the maximum overshoot value and the settling time of the system frequency are 16 percent and 3.2 seconds less, respectively.
P. Hajiamosha; A. Rastgou; H. Abdi; S. Bahramara
Abstract
The important role of electricity generation in the power system is evident and is growing more and more with innovative technologies and requirements. Hence, addressing the combined heat and power economic dispatch (CHPED) as one of the relatively new issues in the power system operation and control ...
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The important role of electricity generation in the power system is evident and is growing more and more with innovative technologies and requirements. Hence, addressing the combined heat and power economic dispatch (CHPED) as one of the relatively new issues in the power system operation and control is more importance. Since the CHPED problem is a non-smooth, highly non-linear, and non-convex one, it is required to solve it so that an optimal global solution can be achieved. In this paper, by applying the piece-wise linearization approach the CHPED problem is solved so that the problem reformulated to a quadratic optimization problem with linear and quadratic constraints. To demonstrate the applicability of the proposed model, four case studies are implemented in the GAMS software environment and the results compared to the literature.
Power System Operation
A. Rastgou; S. Bahramara
Abstract
Unit commitment (UC) problem tries to schedule output power of generation units to meet the system demand for the next several hours at minimum cost. UC adds a time dimension to the economic dispatch problem with the additional choice of turning generators to be on or off. In this paper, in order ...
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Unit commitment (UC) problem tries to schedule output power of generation units to meet the system demand for the next several hours at minimum cost. UC adds a time dimension to the economic dispatch problem with the additional choice of turning generators to be on or off. In this paper, in order to improve both the exploitation and exploration abilities of the firefly algorithm (FA), a new modification approach based on the mutation and crossover operators as well as an adaptive formulation is applied as an adaptive modified firefly algorithm (AMFA). In this paper, it is shown that AMFA can solve the UC problem in a better manner compared to the other meta-heuristic methods. The method is applied on some case studies, a typical 10-unit test system, 12, 17, 26, and 38 generating unit systems, and IEEE 118-bus test system, all with a 24-hour scheduling horizon. Comparison of the obtained results with the other methods addressed in the literature shows the effectiveness and fastness of the applied method.
