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In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic optimisation algorithm Ant Lion Optimizer (ALO). ALO is inspired by the hunting mechanism of Ant Lions in the natural environment. ALO has a fast convergence rate due to use of roulette wheel selection method. In order to resolve the optimal power flow problem,...
Usually electric tugboats are equipped with diesel engine based electric generator for power production, battery for supplying power to auxiliary loads and electric motors for propulsion. This paper proposes control strategies for diesel engine and electric generators used in electric tugboat to improve energy efficiency of the system. Doubly fed induction machine (DFIM), asynchronous in nature, is...
Electrical power generation from renewable energy sources is considered a promising option for self sustained growth with almost no impact on environment. In this regard, harnessing energy from biomass which is a indigenous substitute for the imported petroleum was investigated experimentally. Wood pieces were converted to producer gas by a thermo-chemical process called gasification. This low heating...
A hybrid technique is suggested for optimal management of the Micro grid (MG) system in this paper. The suggested technique is the mixture of Cuckoo Search (CS) and Bat algorithm. Now, the multi objective function is employed to get the optimal operation and management of MG. Using the fuel cost with the operating and maintenance cost of the MG sources like Fuel Cell (FC), Micro Turbine (MT) and Diesel...
This study proposes the Strength Pareto Evolutionary Algorithm (SPEA2) for Environmental/Economic Power Dispatch (EEPD) problem. In the past fuel cost consumption minimization was the single objective function of economic power dispatch problem. Since the clean air act amendments have been applied to reduce polluting gases emissions from power plants, the utilities change their strategies in order...
Economic Environmental Dispatch (EED) problem is the most serious problem in power operations and management. Taking into consideration transmission losses, power balance constraint, and generator capacity constraint, the EED problem becomes a non convex optimization problem, which is a difficult task that cannot be solved with traditional techniques. Furthermore, with both the environmental issues...
This paper presents ant lion optimization method for multi-objective optimum generation scheduling problem (MOGS) in various test power systems. Ant Lion Optimization (ALO) is a novel meta-heuristic motivated by hunting mechanism of ant lions in nature. Diverse emission gases considered for the case studies are SOx, NOx and COx. The proposed technique is applied on different test systems for solving...
This paper presents a novel approach using Equal incremental fuel cost (X) and Tie line matrix for solving the Multi-Area Economic Dispatch (MAED) problem with tie line loss. Incremental fuel cost (X) concept is introduced in this paper in order to evaluate the power to be transferred through tie lines from one area to another area in more economically and then Tie line matrix has been adopted to...
Under normal operating conditions, the generation capacity is more than the total load demand and losses. The objective is to find the real power scheduling of each generator for an interconnected power system under testing condition to minimize the operating cost of the power plant. Hence the generators power are allowed to vary within the given limits to meet the particular load with minimum fuel...
Economic load dispatch problem becomes complex, when renewable energy sources are also considered with thermal power plant. Therefore, it is challenging to find the optimal solution at lower fuel cost, such that generation meets the load demand. This paper is mainly aimed to design economic load dispatch model for thermal and wind power plants. Due to the varying nature of wind speed, probabilistic...
This paper presents a nonlinear backstepping controller derived for control of a gas turbine. Specifically, it enables a gas turbine to provide mechanical power equal to the load, while controlling the frequency to a desired value. The resulting controller is then compared to a standard droop controller, where the new control solution shows improved performance in terms of smaller overshoot during...
In this paper a comprehensive method to optimize the operation of a microgrid is presented. Various factors such as fuel cost, environmental cost, maintenance cost, start-up and shut-down costs and spot price of electricity as well as effect of congestion are considered. To demonstrate the performance of the presented method, a test system consisting of micro turbine, fuel cell and wind unit is considered...
In this paper, two control strategies involving “continuous” and “ON/OFF” operation of the diesel generator in the solar photovoltaic-wind-diesel-battery hybrid systems are modeled. The objective of these proposed models is to minimize the system's daily operation cost while finding the optimal power flow considering the intermittent solar and wind resources, the battery state of charge and the fluctuating...
The power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. This paper presents modeling and optimization of a photovoltaic (PV)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Rafsanjan, Iran. For this location, different hybrid systems are studied and compared...
The outback of Australia is characterised by its remoteness from traditional electrical energy supplies and vast distances between inhabited areas which impede supply of commodities. Insular power systems are typical solutions for such localities, usually consisting of a generator energised by diesel fuel or liquefied petroleum gas. In this paper an enhanced, hybrid system is considered by adding...
This paper deals with application of swarm intelligence based algorithms to solve optimal active power dispatch problem in an efficient manner. In this paper well established artificial intelligent algorithms viz cuckoo search (CS) method; Particle swarm optimization (PSO) and Modified PSO are used to solve a multi-objective optimal power flow (OPF) problem. Some modifications in PSO are carried to...
Micro-grids offer the promise of supplying electricity to rural communities in many developing countries where transmission infrastructure investments are prohibitively expensive. Many of these communities currently use diesel generation to meet their basic lighting and refrigeration needs. Small diesel generators have notorious part load inefficiency — they suffer 10–20% efficiency losses when operated...
This paper proposes an online optimal power management problem for microgrid energy market considering electric vehicle (EV) charging/discharging, load curtailment and grid power transactions. Fuel and emission costs of conventional sources, hourly profits, incentives for load curtailment, revenue/cost of grid power trade and charging/discharging price of electric vehicles (EV) are considered by the...
In this work, an optimal scheduling model is developed to minimize the operation cost of solar photovoltaic-diesel-battery hybrid systems. Furthermore, two operation modes of the diesel generator, namely the "ON-OFF" and the "CONTINUOUS", are modeled and integrated in the hybrid system operation mode. The principal objective of these developed models is to minimize the hybrid system's...
This paper proposed an economic dispatch scheme based on stochastic frame. Compared with conventional dispatch, the stochastic dispatch fully considers the variation of distributed load variations in the grid between dispatch intervals. The objective function of the stochastic dispatch scheme aims to minimize the distribution of fuel cost rather than a single value. Due to the stochastic analysis,...
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