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Congestion management in transmission line is one of the most difficult chores faced by system operator in the rising restructured power system. Congestion in transmission line creates problem for smooth operation in restructured electricity market and increases transmission cost, which leads to profit minimization of the electric power seller and decreases the market efficiency. One of the most effective...
In this paper a solution technique based on bat algorithm (BA) is implemented for solving the economic load dispatch problem in a power system in which every unit utilize multiple fuels for producing power. The economic load dispatch (ELD) problem is modeled as a complex mathematical function that takes cost coefficients of all the possible fuel options as well as effects of valve-point loading into...
Differential evolution (DE) is one of the most powerful evolutionary algorithm that has been extensively used by various researchers for global optimization of complex engineering problems. Selection of algorithm control parameter plays a vital role in the efficient performance of differential evolution algorithm. However, choice of control parameters for optimum performance varies from problem to...
Imperialistic competitive algorithm (ICA) is a recently developed meta-heuristic technique that has been successfully implemented for solving various complex optimization problems. Like other meta-heuristic techniques, performance of ICA predominantly depends on the selection of control parameters. However, optimal setting of control parameter for ICA is problem specific. In this paper, a study of...
Constant load variation and voltage level change is frequent in power system. It may be controlled by voltage profile improvement and congestion management. Congestion management can be performed via system current reduction using FACTS devices. In this work, system voltage deviation reduction has been performed by allocating STATCOM device. Fitness value comprising of real power loss and total voltage...
In this paper an imperialistic competition algorithm (ICA) based optimization technique is presented for solving the short-term economic emission dispatch (EED) problem in a hydrothermal system with cascaded reservoirs. Various operating constraints of the hydro system such as flow rate limit, reservoir storage volume limit, dynamic water balance, power generation limit and transportation delay between...
In recent years the power scenario has gone through a major overhaul with the deregulation of electricity market and introduction of renewable sources into the system. Automatic generation control (AGC) is one of the important ancillary services present in the power system. This work represents an automatic generation control scheme for an interconnected three area hybrid power system in deregulated...
With the advent of carbon capture and storage technology (CCS), carbon capture power plant (CCPP) has become a vital part of modern day power systems. However, introduction of CCPPs in power systems has a significant impact on dispatch strategies as CCS consumes energy for their operation though they reduce emission. In this work a Modified Imperialistic Competition Algorithm (MICA) based solution...
Economic emission dispatch problem (EED) has gained attention of power system researchers for many years. With the deregulation of electricity market and strict environmental norms and regulations, there exists a further scope to revisit the problem. Actually the Economic emission dispatch minimizes both the fuel cost as well as emission from fossil fuel fired power plants under several equality and...
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