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This paper deals with the control problem of a dc-dc boost converter whose operation takes place in an uncertain environment. The proposed nonlinear controller achieves the desired performance in a number of different situations. Uncertainties, unknown but bounded, are considered to be present in the load as well as in the input voltage. Effective control results as long as certain matching assumptions...
Demand Side Management (DSM) refers to a set of measures targeting at load modifications in periods of high electricity generation costs, supply shortage and grid" s techno-economic constrains. This paper proposes a novel DSM strategy for load management of consumers that are eligible for the implementation of Real-Time Pricing (RTP) schemes. The DSM strategy is formulated as a constrained optimization...
With rising shares of fluctuating renewable energy generation, the role of electricity storage becomes increasingly important. However, European pumped storage plants (PSPs) are currently confronted with economic challenges and their potential for smoothing the residual load curve is consequently not fully exploited. In this paper, the long-term effects of load-smoothing and the typical price-based...
A novel approach to the energy conversion aspect of multi-energy system modelling is presented. Derived from the Energy Hubs modelling concept, a framework is proposed which can account for conversion topologies of arbitrary complexity. In particular, no constraint is placed upon the direction of energy flow through a given system and subsequently, terminals of the conversion model can serve as both...
The REliable CApacity Provisioning and enhanced remediation for distributed cloud applications (RECAP) project aims to advance cloud and edge computing technology, to develop mechanisms for reliable capacity provisioning, and to make application placement, infrastructure management, and capacity provisioning autonomous, predictable and optimized. This paper presents the RECAP vision for an integrated...
In this paper, for Heterogeneous networks (HetNet), we propose a resource allocation with optimization problems based on dual connectivity and traffic load on backhaul links. In the proposed method, two optimization problems are constructed; one is for determining the allocation of a base station and frequency slots to each user, and the other is for determining routes for traffic in backhaul. We...
This paper presents a comparative analysis of energy storing and renewable generation curtailment as a measures for minimization of energy costs under defined share of renewables. Application of both measures allow to solve the issues of the night over-generation, that is one of the reason of limited capacity of grid connections for renewables. Both energy storing and generation curtailment are examined...
The increased penetration of intermittent renewable generation has already resulted in spilling and it is projected that renewable energy curtailment level will continue to soar. This paper presents a framework to assess the flexibility of domestic thermal loads and Electric vehicles (EVs) charging load for power sink as a means to reduce wind energy curtailment during different times of a year. The...
In this paper, we formulate a two-stage distributionally robust (DR) model for the optimal power flow (OPF) problem in the presence of uncertainties from wind power generation and load-based reserves. Assuming ambiguous distributions of the random variables, we minimize the costs of generation, reserves, and the worst-case expected value of the penalty cost of violating constraints. We consider a...
Technological advances and climate considerations drive substantial changes within the electricity sector. Yet, these changes, although their thrust might be intuitive, are subject to large uncertainties: Technologies may be available earlier or later, international/regional co-ordination may work better or worse etc. This poses significant challenges to the task of transmission planning: Therefore,...
The unification of the day-ahead power exchanges resulted in a varying set of order types, which leads to challenges in the formalization of mathematical models and clearing procedures. In our paper, we have focused on complex orders. Complex orders have been in use in the Iberian power markets for many years, and they have been involved in the EUPHEMIA [1] as well, which is the clearing algorithm...
In the new era of electrical power industry with more emphasis on green energy resources and active customer participation, the distribution utilities (DISCOMs) are being challenged. Being an important link between wholesale and retail electricity markets, these DISCOMs are exposed to risks on both sides. Under such circumstances, they are looking for new analytics to optimize operations and maximize...
This paper presents the application and validation of a previously proposed generic Optimal Industrial Load Management (OILM) model for industrial energy hubs in smart grids. Available data obtained from measuring campaigns are used for accurately modeling the customers' demand, considering electrical variables, material flow rates, and other relevant operating variables of the industrial processes...
Current models of capacity market designs in the U.S. and elsewhere ignore the important issue of carbon emission produced by power generators. While the current designs may produce optimal and efficient capacity market prices, these designs contribute little or nothing to reduce such emission. In this paper, we present a novel alternative to the current capacity market design which can realistically...
The changes in the European power system come with the necessity of modeling the power system in high detail. Especially, when applying stochastic simulation approaches this leads to increasing problem sizes. In this work, we introduce a methodology to reduce the size of optimization problems in the temporal dimension to achieve lower computation times. The method is based on a mixed-integer optimization...
This paper presents an algorithm developed for the optimization of Low Voltage (LV) grids that takes advantage of Distributed Energy Resources (DER) such as storage devices and flexible loads. The proposed approach is based on a multi-temporal Optimal Power Flow (OPF) algorithm that feeds from forecasting tools for load and renewable generation, which means the optimization model looks at a 24-hours...
In the Evolutionary Computation field, it is frequent to assume that a computation load necessary for fitness value computation is, at least, similar for all possible cases. The main objective of this paper is to show that the above assumption is frequently false. Therefore, the examples of evolutionary methods that use problem encoding which allows for significant optimization of the fitness computation...
Mixed-integer linear programming problems represent a large group of models that are widely constructed for optimization problems in Electric Power Systems Operation. An economical and financial analysis is obligatory for the obtained solution as being a part of the effective system planning and operation. In this paper a formal approach to such analysis is given having a combinatorial problem with...
There are industrial parties where huge quantities of water are used for cooling. The need of cooling at the same time is important part of the technology process and is essential for reliability and proper operation of the plant.
Because the scissor lifting structure of the lifting platform of the traditional anti-riot vehicles has the problems that momentary thrust force is too large and the oil pressure of hydraulic system is too high, these problems directly affect the performance of the lifting platform. In this paper, ADAMS and AMESim were used to establish respectively the virtual prototype model and the hydraulic circuit...
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