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Deviation of frequency is a major concern in case of hybrid power generating system. Load frequency control of a thermal, wind and solar based hybrid power generation system is presented in this paper. First order proportional-integral-derivative (PID) controllers are used to reduce the deviation of frequency in the proposed LFC. Bacterial Foraging Optimization (BFO) technique is used to optimize...
We propose a novel power control algorithm for the minimization of the peak load in the widely used load coupled network model, which is an abstract model able to capture the behavior of current and possibly future wireless networks. We first prove that the solution to the optimization problem we pose here requires all base stations with the same load. This necessary condition for optimality gives...
In this paper we propose a novel coalitional game theory based optimization method for minimizing the cost of the electricity consumed from the power grid by a community of smart households. A smart household may own both a renewable energy source and an energy storage system (ESS), or only an ESS. We propose an optimization model in which all the members of the community jointly share their renewable...
In advanced technology nodes, BEOL interconnect stack geometry has become a key lever for design enablement. The rapid increase of interconnect RC leads to not only performance loss from interconnect delay increase, but circuit power and area degradation as well. Thus, optimization of BEOL dimensions (i.e., wire width, spacing and thickness subject to a given layers pitch constraint) is crucial to...
Load forecasting is a data intensive statistical method. Internet of things (IoT) based online load forecasting (LF) collects those data from internet on demand and then performs fast statistical and optimization methods for forecasting efficiently. IoT based online LF not only depends on power systems properties, but also internet, machine-to-machine (M2M) connections, communications and computation...
In Satellite ATM (SATM) networks, the various traffic patterns and dynamically changing topology call for effective network traffic control mechanisms to reduce congestion and utilize network resource efficiently. There are two major challenges in the SATM traffic control. On one hand, the time varying traffic arises big challenges for guaranteed service in ATM. On the other hand, due to the permanent...
This paper presents an energy management policy for reconfigurable clusters running a multi-tier application, exploiting DVS together with multiple sleep states. We develop a theoretical analysis of the corresponding power optimization problem and design an algorithm around the solution. Moreover, we rigorously investigate selection of the optimal number of spare servers for each power state, a problem...
Intermittent nature of renewable energy sources (RESs) greatly influences power generation in a RESs interfaced generating plant. So, in addition to load variations, RESs have an adverse effect on system frequency in such plant. This paper presents a study on load frequency control (LFC) performance in a hybrid power system, where the RESs such as solar photovoltaic (SPV), wind turbine generator (WTG),...
Generation side of the Power industry has taken a major leap towards successfully extracting energy from the different Renewable Energy Sources (RES). Day-by-day continuous efforts are made in order to utilize more energy from these RES rather than depending on the conventional energy sources mainly for these reasons: to attain pollution-free environment, to minimize the fast depletion of the natural...
Modern computer servers require cutting edge technologies to meet their expected high performance. Among several relevant disciplines, power delivery (PD) is a key player in this regard. Efficient and reliable statistical methods to reduce cost while keeping adequate server's performance are highly demanded from the PD perspective. This paper addresses a feasible statistical methodology based on design...
The LLVM compiler follows closely the concurrency model of C/C++ 2011, but with a crucial difference. While in C/C++ a data race between a non-atomic read and a write is declared to be undefined behavior, in LLVM such a race has defined behavior: the read returns the special ‘undef’ value. This subtle difference in the semantics of racy programs has profound consequences on the set of allowed program...
With the augmented penetration of renewable energy, such as solar power and wind power, the electricity grids could be destabilizing due to the intermittent nature of renewable sources. In order to ensure power system reliability, robust optimization method is introduced to the energy schedule of micro grid system. This work presented a two-stage robust optimization method to calculate a numerical...
It is expected that electric railways realize further energy-saving performance. In electric railways, the energy consumption depends on the train scheduling. Therefore, some researches have addressed energy saving by studying train scheduling. One of the researches optimized energy consumption by changing train scheduling based on mathematical models. However, it did not consider uncertainties of...
Improvement of technological processes management is one of the directions for production systems optimization. A practical methodology for improvement of production process of automotive components is presented herein. The methodology is based upon decision support system that permits for management of technological transport while changing the production and logistics system's parameters. The proposed...
The problematic is to study the management of a hybrid energy system, depending on demand, dedicated to self-governing houses. Energy can be supplied by a photovoltaic panel, a wind turbine and a diesel generator and it can be stored in batteries. The study of this type of systems requires a good control strategy and an effective management. The main objective of this study is to develop a reliable...
Large integration of renewable distributed generation (RDG) and energy storage (ES) in distribution networks provides an opportunity for energy loss minimization. This paper proposes a method for joint optimum allocation of RDG and distributed ES for energy loss minimization. The main contribution of the paper is formulation of probabilistic generation model and ES model to perform a combined optimization...
Optimal frequency controllers for power networks based on distributed averaging have previously been shown to be an effective means of distributing control authority among agents while maintaining a globally optimal operating point. Distributed control architectures however require an implicit trust between participating agents, in that each must faithfully communicate the appropriate control variables...
To reduce the initial cost of battery energy storage and build basic construction of smart city, this paper proposes an optimization method of battery energy storage location and sizing based on demand response. It builds the battery energy storage site and capacity model, whose objective is the life cost cycle, income by load shifting and decrease of line loss. Demand response is imported to the...
Increasing redundant paths in transmission grids has always been thought to be a tool to enhance service reliability. However, network equations by intertwining power flows through redundant paths impose more limits on systems with more redundancy. Accordingly, autonomous removing of a few lines may relief capacity limit violations in some contingency events thereby enhancing service reliability....
This paper investigates three different strategies for centralized charging/discharging management of electric vehicles, their features and the impacts on technical performance of distribution systems. Three goals of load factor maximization, load variance reduction and energy loss minimization are chosen as the main technical factors need to be optimized in the proposed electric vehicles charging/discharging...
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