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In this paper, a stochastic weight trade-off chaotic non-dominated sorting particle swarm optimization (SWTC_NSPSO) is proposed for solving multi-objective optimal power flow considering generator fuel cost and active power loss. The SWTC_NSPSO algorithm improves the solution search capability by balancing between global best exploration and local best utilization through the stochastic weight trade-off...
This paper presents an evolutionary algorithm, reference point based multi-objective group search optimizer using non-dominated sorting approach (r-NSGSO), for optimal power flow problem with multiple objectives. First, the six objectives of optimal power flow are reduced to two objectives which represent the secure and economic indices, respectively. The r-NSGSO integrates the non-dominated sorting...
This paper proposes a battery energy management system (BEMS) for photovoltaic (PV) powered micro-grid, where the system would like to reduce the operational time of diesel generator (DG). Due to fast variations in the solar irradiance, the BEMS need to smooth the PV power fluctuations. Hence, an energy storage system is required to mitigate the PV power fluctuations. Novelty of this BEMS is to manage...
Major concerns associated with renewable energy resources are uncertainty and unpredictability. Energy Storage Systems (ESSs) can help create more reliable and dispatchable systems by adjusting charging and discharging time and rate. In this study, an economic model is developed for a hybrid system of grid-connected solar photovoltaic (PV), Compressed Air Energy Storage (CAES), and batteries. PV generation...
A microgrid for the purpose of reducing the fuel consumption at the Japanese Showa Base in the Antarctica is being considered due to the increase in fuel consumption in the base caused by the continuous increment in research activities. In this paper, the planning of the operation of the engine generators at a representative day using a simplified mixed integer programming is proposed for this microgrid.
The present paper aims to resolve the economical dispatching and optimization of voltage profile using particle swarm optimization (PSO) algorithm. The PSO algorithm is a general optimization method to adjust nonlinear functions. Regarding to special consideration of issue, this method can considerably lead to optimization (increase or decrease) of various objective functions. In this paper, in order...
Economic load dispatch (ELD) is an operational planning of a power generation system whereby the demand load is optimally distributed among the generation units such that the total generation cost is minimized. This paper presents a new hybrid technique, Particle Swarm Optimization (PSO) combined with Ant Colony Optimization (ACO), to solve the ELD problem. The results of simulated test run of the...
We are proposing a new hybrid electric vehicle which uses natural energy, consumes little fuel, and operates over a long running distance. It utilizes a series hybrid system in which a diesel engine operating on plant oil rotates an electric generator to produce electricity, which is used to drive the vehicle or may be stored in batteries to use later. The intention of the proposed system is to reduce...
BTS sites are subject to constant cost pressure. Operational cost and especially Diesel consumption form ever increasing cost components. Here, photovoltaics (PV) is an effective measure to cut down operational cost and emissions for hybrid BTS sites. Often PV is integrated in a non-optimal way opening up room for improvements to the operational management. Three different advanced PV-hybrid operational...
Site infrastructure sharing is the trend of future base station construction. Telecom infrastructure operators require for smooth upgrading and low TCO when sharing sites power supply, spaces and operation management. This paper introduces a new integrated hybrid power supply system suitable for the site sharing requirements. It perfectly combines many functions together, such as energy generation,...
Supply of power is an increasing cost factor in the operation of base transceiver stations (BTS). Selecting the optimized power system for a set of site requirements is key to minimize total cost of ownership (TCO). In this paper we show how dimensioning of a power system through combined technical and commercial simulation helps to optimize the system configuration. The savings on fuel and diesel...
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...
Remote communities mainly rely on diesel for electricity generation. Costs of electricity generation could reach up to 10 times compared to the main electric grid because of the cost of fuel transportation and delivery. With the revolution of smart grid technology, it is possible to quantify the full potential of integrating renewables and smart grid applications to bring real cost savings to these...
Role of off-grid renewable energy in extending basic healthcare services to rural villages where there is no grid extension or unreliable power supply cannot be over emphasized. This paper thus evaluated the technical and economic benefit of powering off-grid rural health clinic with renewable energy resources. The rural clinic selected as a case study in this paper is situated at Fatika rural village...
This paper considers the non-convex Economic Dispatch Problem (EDP) with power losses, prohibited operating zones, and generation cost functions modeling both valve-point loading effects and multiple fuel options. This constrained problem is stated as an unconstrained problem by using the augmented Lagrange formulation, while introducing Lagrange multipliers and penalty parameters. Then, a genetic...
The aim of this paper is to explore a new model to generate electricity with higher penetration rate of renewable energy. Conventional system to generate electricity is to generate large amount electricity at power station and then deliver to the consumer through long transmission line and distribution system. The losses and costs, incorporated with these processes, are not negligible. Another System...
Isolated power systems (IPSs) up to 20MW capacity are traditionally based on diesel generators. Due to the high cost of diesel fuel supply, as well as environmental concerns, IPSs are increasingly integrating renewable generation. Since traditional diesel generation was built for slow changing, diesel-only systems some IPSs might experience problems in the future, while trying to support fast-changing,...
Diesel generators account for the majority of generation into remote and off-grid power systems. However, complementary generation alternatives are increasingly becoming both available and cost competitive, specifically via the introduction of renewable technologies. Achieving optimal integration requires the diesel generators to be able to operate sustainably at low load levels. A key roadblock to...
This paper studies the power consumption and supply in an islanded power system (IPS) with high penetration of air conditioning load. The characteristics and behaviors of the loads in the IPS are researched and analyzed. Based on the power study, a new source and load management (SLM) system is designed to improve the power quality and energy/fuel efficiency in the power systems. In this paper, at...
Hybrid renewable energy systems shows a great potential for electricity generation in Bangladesh. Hybrid renewable energy system can be set up such a way that the electricity will add to national grid connection and it will eventually reduce the pressure of electricity demand from national grid. Abundance of renewable energy sources in the form of solar energy provides opportunities of renewable energy...
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