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In microgrid, the traditional centralized control strategy is a convenient way to realize system control and schedule, but it is completely dependent on communication which reduces the reliability of system, and plug and play is difficult to be realized for the distributed generator (DG). In order to overcome these challenges, this paper proposes a distributed control strategy based on multi-agent...
This paper analyses the key benefits of a multiple paralleled diesel generator system over a “Single” diesel generator system for supplying small remote and isolated loads. Even though having several small diesel generators in parallel instead of one larger one will certainly induce higher capital cost of the generating unit, the resulting cost of kWh generated as well as the system is life cycle...
Diesel generators are typically used in remote Australian electricity networks to generate power for its consumers. Solar PV systems are one of the most common renewable resources due to their gradual technical advancement, decreasing cost and wide application. This study aims to design and model a PV-Diesel power system for a generic remote town in Australia. The electricity generation philosophy...
Achieving the required onboard serviceability of safety equipment at minimum cost is of interest to airlines. This paper addresses the integration of radio frequency identification (RFID) technology into aircraft maintenance programs to improve the economics of safety equipment inspections. A problem that airlines face, which is addressed in this article, is how to determine the frequency of scheduled...
Dynamic photovoltaic generators, based on the application of solar-trackers, are able to give an increment to the electric energy production from solar source. Their realization and maintenance costs are certainly higher than those of fixed ones. In this paper the Authors propose a method to estimate the increment of electrical energy generation that must be guaranteed by a dynamic photovoltaic generator,...
Absence of a generalized pricing method is one of the key issues with renewable energy generation. Each utility uses a different method for pricing energy. The proposed model gives a generalized method for determining energy price for generating companies, independent power producers, regulatory commissions etc. It incorporates both the economic and performance based factors in the pricing model....
To maintain a power system within operation limits, a level ahead planning it is necessary to apply competitive techniques to solve the optimal power flow (OPF). OPF is a non-linear and a large combinatorial problem. The Ant Colony Search (ACS) optimization algorithm is inspired by the organized natural movement of real ants and has been successfully applied to different large combinatorial optimization...
The retrofit of flow passage of a steam turbine is a feasible measure of save energy and capacity enlargement of a unit and the ROI (return on investment) is high. The economics of retrofitted units is related to many factors. This paper analyzes the economic indicators of a 300WM steam turbine flow passage retrofit, as payback period, FNPV (Financial Net Present Value) and FIRR (financial Internal...
This paper presents generator maintenance scheduling (GMS) and economic dispatch (ED) of the Indonesian power system based on minimization of an economic cost function for the economical and reliable operation of a power system, while satisfying crew/manpower, maintenance window, load demand, generation limits and spinning reserve constraints. Differential evolution (DE), an evolutionary computation...
The maintenance strategy for marine generators is a key factor that affects ship safety and economic benefits. In this paper, on the basis of marine maintenance system theories, by analyzing maintenance after a failure event, preventive maintenance, and condition based maintenance, and so on, a ship maintenance strategy and the corresponding processes are constructed. A risk assessment is made using...
In this paper, a novel multiobjective genetic algorithm approach for economic emission load dispatch (EELD) optimization problem is presented. TheEELD problem is formulated as a nonlinear constrained multiobjective optimization problem with both equality and inequality constraints. A new optimization algorithm which is based on concept of co-evolution and repair algorithm for handling nonlinear constraints...
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