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Dynamic programming is an effective technique for the evaluation of the potential of optimal fuel consumption of drive trains, as it guarantees a globally optimal solution. This paper investigates two major problems associated with the application of dynamic programming. The first problem is the high computational complexity. Iterative dynamic programming is proposed as an alternative to dynamic programming...
Transport sector could play a relevant role in future energy decarbonisation pathways contributing to energy consumption and pollutant emissions reduction. Planning in the transport sector requires that policy makers be supported with scientifically sound tools, which are able to take into account the peculiar aspects of transport system analyses, especially at urban scale. One of these peculiarities...
This work presents a layout design method for a grid-connected PV-Battery-Diesel microgrid considering the effect of the applied power management strategy among the system's components. The proposed microgrid is dedicated to those areas in the world which suffer from prolonged grid outages and depend mainly on diesel generators to cover the periods of power deficit. Conventionally, such hybrid microgrids...
The need for designing self-sufficient microgrids to lessen the serious consequences due to power lack is obvious. This work proposes a systematic method to select the optimal components of a grid-connected microgrid subject to severe power outages. The microgrid is composed of photovoltaic panels (PV) and energy storage units in addition to the existing diesel generator. This work attempts to maximize...
Microgrids have become a preferred source of energy for remote locations due to their relative reliability and minimal operational cost. In this work, the optimal operational dispatch of an islanded microgrid consisting of a Combined Heat and Power (CHP) generator and PV generator is considered. The power sources must satisfy the load and heat demand whilst simultaneously minimizing the daily operational...
This paper studies the problem of optimally placing energy storage devices in power networks. We explicitly model capital and installation costs of storage devices because these fixed costs account for the largest cost component in most grid-scale storage projects. Finding an optimal placement strategy is a challenging task due to (i) the discrete nature of such placement problems, and (ii) the spatial...
In The main ambition of utility is to provide continuous reliable supply to customers, satisfying power balance, transmission loss while generators are allowed to be operated within rated limits. Meanwhile, achieve this purpose emission value and fuel cost should be as less as possible. An allowable deviation in fuel cost and feasible tolerance in fuel cost has been called emission constrained economic...
In this paper, two control strategies involving "continuous" and "ON/OFF" operation of the diesel generator in the battery-integrated hybrid system are developed, implemented and compared. The main purpose of these modeled controlled strategies is to minimize the diesel generator operation cost in standalone electricity generation processes. The simulations have been performed...
Today, the world is very much concerned about the global warming effects due to the increasing pollutant emissions from various sectors of manufacturing industries. They are majorly using coal based power plants for fulfilling their electricity need. The requirement is of switching some partial load on renewable system and finding alternative fuels that can help in reducing green house gases' emissions...
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,...
Adaptive Operator Selection (AOS) is a method used to dynamically determine which operator should be applied in an optimization algorithm based on its performance history. Upper Confidence Bound (UCB) algorithms have been successfully applied for this task due to its ability to tackle the Exploration versus Exploitation (EvE) dilemma presented on AOS. However, it is important to note that the use...
This paper proposes a modified artificial bee colony algorithm (MABC) for economic load dispatch (ELD) problem in the transmission system. Traditional economic dispatch focuses mainly on the minimization of the total operation cost of the power system. With the appearance of environmental pollution and energy crisis becoming a public issue, environmental effects of generator should be taken into consideration...
This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting, searching for prey,...
Hybrids systems benefits are strongly dependent on the system design and the control strategy. The strategy choice strongly affect sizing and vice versa. This phenomenon is not always taken into account which leads to a non-optimal sizing of the system. This paper suggests a new method to optimize the design of hybrid power generator system from the point of view of fuel consumption taking into account...
The appropriate dispatch of Load Shifting Devices (LSD) and Renewable Energy Sources (RES) is still a challenging issue for the Remote Community (RC). This paper analyzes three techniques for the economic dispatch of a RC microgrid that implements RES and LSDs as in the case of Energy Storage Systems (ESS) to a diesel infrastructure. Two online or period-ahead techniques are compared to an offline...
The completely Electric Power System encompass three parts: Generation, Transmission, and Distribution that all require maintenance to better system reliability and energy efficiency. Most generation maintenance scheduling (GMS) packages consider preventive maintenance scheduling for generating units over one or two year's time horizon to lessen the total operation costs while fulfilling system energy...
Due to ever increasing energy demand and expectation, microgrid has received a great attention. Microgrid can be viewed as a cluster of loads and parallel DG units installed at consumer's sites. The main objective of this paper is to address on the issue of optimal operating strategy and cost optimization scheme for a microgrid using three evolutionary techniques, namely Particle Swarm Optimization...
The objective of the economic dispatch problem of electrical power generation is to schedule the committed generating unit's output so as to meet the required load demand while satisfying the system equality and inequality constraints. This paper solves the combined economic emission dispatch problem by using Min-Max and Max-Max price penalty factor approaches using Lagrange's method. The price penalty...
Pollution of the power plant has caused harmful environmental effects due to the emission of greenhouse gas. The pollution can be reduced by adjusting the real power outputs of different power plants. However, the relocation of real power outputs results an additional outlay in the system. In order to eliminate the conflict between the cost and emission, an optimal power flow is introduced in this...
Theobjectiveof this paper is to develop an optimally-sized microgrid system composed of wind turbine, diesel generator and hydrogen-based energy storage system for a remote community. The goal is to meet the instantaneous demand, while minimizing the cost of electricity and adverse impacts of burning fossil fuels on the environment. The wind turbine is the main source of energy. The electrolyser is...
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