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The radiation characteristics of Electronically Steerable Parasitic Array Radiators (ESPAR) can be modified by changing the loads attached to the parasitic radiators. The open-circuit pattern to embedded pattern approach is employed to compute the radiation pattern, when dynamic loads are attached to the parasitic radiators. It provides results exactly matching to those of full-wave simulations without...
Demand Side Management (DSM) will play a large role in creating a pathway to a low carbon future. Microgrids are an ideal test bed for DSM within the Smart Grid (SG) framework, allowing for increased integration of distributed generation (DG), here focused on distributed Renewable Energy Sources (RESs). Existing work uses conservative estimates to model the stochastic nature of RESs, resulting in...
Optimizing the energy consumption and achieving the network wide load balance for longevity operations of the network are prime issues in the mobile ad-hoc networks. we present a new approach to optimize the energy consumption and achieved the network wide load balance among nodes using non-demonian sorting generic algorithms-II. The routing constraints for energy consumption and load balancing and...
As compared to traditional distributed computing paradigms, a major advantage of the cloud computing is the ability to provide more reliable, affordable and flexible resources for the applications (or users). The need to manage the applications in the cloud computing creates the challenge of an on-demand resource provisioning and allotment in response to the dynamically changing workloads. Currently,...
We investigate the problem of joint AP coverage adjustment and user association optimization for load balancing in multi-rate WLANs in this paper. We first divide the problem into two sub-problems and then formulate them as mixed integer linear programming models, which aim to minimize the AP utilization of the most congested AP while satisfying users' traffic demands. Then we design two corresponding...
In a hydro-dominated power system, with complex inter-temporal linkages, capacities of individual projects and project configurations are more complicated than using the simple megawattage, often used to denote capacity in thermally dominated systems. In this paper, the long term hydro scheduling problem is solved and used to test novel definitions of hydro-capacities, based on expected cost and cost...
With the rising energy demand and lack of infrastructure because of geographical condition of India, around 400 million Indian are still not inter-connected to our National Grid System. For supplying energy to our total population in remote areas a micro-grid system has to be implemented, also for meeting the total energy demand a hybrid system has been a significant measure. Micro grid systems independently...
Demand side management at the utility level is facing challenges of managing the peak demands since electricity cannot be stored in bulk so the utility has to match demand at any point in time. Scheduling of electrical appliances and proper design of the electricity tariffs are some of the optimization schemes used to reduce these peaks. With proper optimization scheme, the household consumer will...
The behavior of network constraints in economic dispatch and unit commitment problem is examined in this paper. It analyses the constraints related to the power flow in a stochastic programming tool and tests different approaches for transmission loss computation. This work is part of an ongoing effort to develop tools for stochastic analysis of hybrid generation systems based up on the existing models...
Installed wind power capacity keeps rapid increase, but wind power curtailment is becoming increasingly serious. Demand response is a good choice to promote the integration of wind power. This paper builds a two-stage unit commitment model incorporating demand response with the aim of promoting wind energy utilization. Firstly, a price determination model is proposed to find the optimal time-of-use...
With the development of Building-to-Grid (B2G) technology, Thermostatically Controlled Loads (TCLs) have been receiving increasing attention because promising candidates for Demand Response (DR) programs. This paper studies real-time operation schemes of TCL aggregators in the power market. The contribution of this paper is to consider TCL aggregators as bidding players participating in the day-ahead...
One of the most practical demand response (DR) programs is time of use (TOU) pricing program. Recently in Iran, TOU-DR program has been initiated by installing three-tariff smart meters, especially for residential complexes. The use of appropriate tariffs in different load time periods, i.e. peak-load, normal-load, and low-load conditions, is of great importance. Tariff pricing should be done such...
Electrical load forecasting is essential in the field of power systems to enhance the operation and economical utilization In this paper, a combined approaches of artificial neural networks (ANN) with particle-swarm-optimization (PSO) and genetic algorithm optimization (GA) for short and mid-term load forecasting is developed. The model identifies the relationship among load, temperature and humidity...
This manuscript presents a case study to determine the optimal location and size of photovoltaic systems in an electric distribution networks using particle swarm optimization (PSO) such that network voltage profile is improved and losses are minimized. The distribution network of Masirah Island, Oman, is considered as a case study system. The test system is modeled and simulated using MATLAB load...
Promoting the replacement of fossil energies by renewable energy sources (RES) is the trend of social transformation and progress. Energy internet aims to lower the dependence on traditional fossil energies, and to increase the utilization efficiency of RES to the greatest extent. In regions like northern China, plenty of RES are being abandoned every year, especially in heating season. Meanwhile,...
Time-of-Use (TOU) has great potential to reduce electricity payments and improve the stability of the power system with demand response (DR) implementation. This paper presents a load control model for optimal residential DR implementation responding to TOU in a distribution network, in which the main stakeholders are utilities and homes. The load control model is formulated into a linear programming...
In recent years, the number of EVs keeps a rapid growth and the increasing charging load brings new challenges to the operation and control of the power system. Meanwhile, the application of energy storage system is drawing the attention in both academia and industry. Both of the above elements play important roles in the Energy Internet. This paper aims to find a balance status between the power...
Fast tuning of a new evanescent-mode cavity tuner is demonstrated to optimize amplifier device power-added efficiency in simulations. The tuning is accomplished by adjusting the two resonant frequencies of the two-element tuner network with a modified interval halving approach. The tuner model is used to adjust the load impedance presented to a power amplifier device. Simulation results show that...
Short-term load forecasting (STLF) plays a considerable role in the operation of power system. Many methods were proposed for STLF, but all the single methods have their own weakness. In order to take full advantages of individual models and avoid their defects, this paper proposed a new combined model applied to STLF. This combined model was composed of the extreme learning machine (ELM), radial...
In order to consider the uncertainty of DG and loads, the interval number is used to describe the uncertainty of the wind speed and loads. The optimal selection and configuration of distributed generators model is established for distribution systems. The largest investment income for independent power producer of DG is taken as the objective function, and interval power flow is introduced to determine...
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