检索结果-内蒙古大学图书馆

Definition of the demand response events duration using differential search algorithm for aggregated consumption shifting and generation scheduling

Definition of the demand response events duration using diff...

引用

International Conference on Intelligent Systems Applications to Power Systems (ISAP)

作者： Pedro Faria João Soares Zita Vale GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal

An adequate integration of demand response programs requires the definition of distinct models covering a wide diversity of operation scenarios. In this paper, the proposed methodology addresses the definition of demand response programs considering the demand shifting between periods, in scenarios of multi-period demand response events. The optimization problem refers to the minimization of the operation costs for a Virtual Power Player in the energy resources schedule. Differential search algorithm has been used in order to obtain the solutions for the optimization problem in a large set of operation scenarios. The case study illustrates the use of the proposed methodology to support the decisions concerning the duration of each demand response event and considering the consumption shifting modeling as constraints of the optimization problem.

关键词： Optimization Mathematical model Schedules Load management Context Minimization Organisms

来源：评论

学校读者我要写书评

暂无评论

Two-stage stochastic day-ahead optimal resource scheduling in a distribution network with intensive use of distributed energy resources

Two-stage stochastic day-ahead optimal resource scheduling i...

引用

IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America)

作者： Tiago Sousa Mohammad Ali Fotouhi Ghazvini Hugo Morais Rui Castro Zita Vale GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Portugal GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Lyngby Denmark INESC-ID / IST Instituto Superior Técnico University of Lisbon Lisbon Portugal

The integration of renewable sources and electric vehicles will introduce new uncertainties to the optimal resource scheduling, namely at the distribution level. These uncertainties are mainly originated by the power generated by renewables sources and by the electric vehicles charge requirements. This paper proposes a two-state stochastic programming approach to solve the day-ahead optimal resource scheduling problem. The case study considers a 33-bus distribution network with 66 distributed generation units and 1000 electric vehicles.

关键词： Stochastic processes Uncertainty Nickel Batteries Programming Load flow

来源：评论

学校读者我要写书评

暂无评论

Relaxation of non-convex problem as an initial solution of Meta-heuristics for Energy Resource Management

Relaxation of non-convex problem as an initial solution of M...

引用

IEEE Power and Energy Society General Meeting

作者： Joao Soares Cristina Lobo Marco Silva Hugo Morais Zita Vale GECAD - Knowledge Engineering and Decision-Support Research Centre Polytechnic of Porto (ISEP/IPP)

ISBN: (纸本)9781467380416

Energy resources management is an important topic in the context of Smart Grids (SG) and MicroGrids (MG). Virtual Power Players (VPP) emerge as aggregator entities responsible for managing energy resources in SG and MG. In this paper modern meta-heuristics are compared with their hybrid version that uses a deterministic method as initial solution. The meta-heuristics implemented are Differential Search Algorithm (DSA) and Quantum Particle Swarm Optimization (QPSO) to solve the hard combinatorial scheduling problem. The deterministic method employs a relaxation of the non-convex Mixed Integer Non-Linear Programming (MINLP) formulation in order to reduce the computational burden and the number of iterations in meta-heuristics. The implemented methods are tested with a 33-bus distribution network, 1800 Electric Vehicles (EV), 15 fixed storage, 66 Distributed Generation (DG), 10 energy suppliers and 1 utility-scale wind generation facility. The results show the excellent performance of the DSA, QPSO and hybrid approaches.

关键词： Day-Ahead Scheduling Differential Search Algorithm Energy Resources Management PSO

来源：评论

学校读者我要写书评

暂无评论

Probabilistic Estimation of the State of Electric Vehicles for Smart Grid Applications in Big Data Context

Probabilistic Estimation of the State of Electric Vehicles f...

引用

IEEE Power and Energy Society General Meeting

作者： Joao Soares Nuno Borges Bruno Canizes Zita Vale GECAD - Knowledge Engineering and Decision-Support Research Centre Polytechnic of Porto (ISEP/IPP)

ISBN: (纸本)9781467380416

This paper presents a framework and methodology to estimate the possible states of Electric Vehicles (EVs) regarding their location and periods of connection in the grid. A Monte Carlo Simulation (MCS) is implemented to estimate the probability of occurrence of these states. The framework assumes the availability of Information and Communication Technology (ICT) technology and previous data records to obtain the probabilistic states. A case study is presented using a fleet of 15 EVs considering a smart grid environment. A high accuracy was obtained with 1 million iterations in MCS.

关键词： Big Data Electric Vehicles Monte Carlo Simulation Smart Grid

来源：评论

学校读者我要写书评

暂无评论

VPP Energy Resources Management considering Emissions: The case of northern Portugal 2020 to 2050

VPP Energy Resources Management considering Emissions: The c...

引用

IEEE Symposium Series on Computational Intelligence

作者： Joao Soares Nuno Borges Cristina Lobo Zita Vale GECAD - Knowledge Engineering and Decision-Support Research Centre Polytechnic of Porto (ISEP/IPP)

ISBN: (纸本)9781479975617

In SGs context, Distributed Generation (DG) based on renewable sources represents an alternative paradigm of energy supply and the opportunity for significant reduction in CO_2 emissions. However, strict emissions regulations might impact profit seeking Virtual Power Plants (VPP) operation. This paper addresses energy management at distribution level and evaluates if electricity emissions are worth to be considered in different time horizons. A realistic case study is developed for a chosen area of the northern region of Portugal, namely one part of the distribution grid from Vila Real managed by a VPP, with estimated penetration of Electric Vehicles (EV), several Distributed Generation (DG), Demand Response (DR) and Energy Storage Systems (ESS). The considered characteristics of the case study took into account several studies and the forecasts made in the literature. For 2030 it is expected an average CO_2 grid emission of 50 kgCO_2/MWh in Portugal. The repository-based multi-objective Particle Swarm Optimization (MOPSO) is used to tackle the developed optimization problem. Three scenarios are evaluated for the profit seeking VPP in 2020, 2030 and 2050 perspectives.

关键词： Energy Resources Management Multi-objective Particle Swarm Optimization Virtual Power Plant Smart Grid

来源：评论

学校读者我要写书评

暂无评论

Simulation and control of consumption and generation of hardware resources in microgrid real-time digital simulator

Simulation and control of consumption and generation of hard...

引用

IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America)

作者： Omid Abrishambaf Luis Gomes Pedro Faria Zita Vale Polytechnic of Porto (IPP) GECAD - Knowledge Engineering and Decision Support Research Centre Porto Portugal

The appearance of new concepts in power systems, such as, smart grids and microgrids brings several advantages. This includes the use of distributed generation and the execution of demand response programs. However, their implementation can also bring management and stability problems. The system presented in this paper allows the real-time simulation of microgrids using real generation and consumption resources. The proposed system can follow real profiles and reply them into the simulation by using real loads and wind generation. The focus is given to the control of the resources in each desired consumption and generation requirement. The case studies use a real consumption profile of a residential house, small commerce facility and a real profile of a home-scale wind turbine. The use of real loads gives a more reliable simulation.

关键词： Load modeling Real-time systems Wind turbines Smart grids Hardware Microgrids Relays

来源：评论

学校读者我要写书评

暂无评论

Selection constructive based hyper-heuristic for dynamic scheduling

Selection constructive based hyper-heuristic for dynamic sch...

引用

Iberian Conference on Information Systems and Technologies (CISTI)

作者： S. Gomes A. Madureira B. Cunha GECAD - Knowledge Engineering and Decision Support Research Center School of Engineering from Polytechnic of Porto (ISEP/IPP) Porto Portugal

Manufacturing environments require a real-time adaptation and optimization method to dynamically and intelligently maintain the current scheduling plan feasible. This way, the organization keeps clients satisfied and achieves its objectives (costs are minimized and profits maximized). This paper proposes an optimization approach - Selection Constructive based Hyper-heuristic for Dynamic Scheduling - to deal with these dynamic events, with the main goal of maintaining the current scheduling plan feasible and robust as possible. The development of this dynamic adaptation approach is inspired on evolutionary computation and hyper-heuristics. Our empirical results show that a selection constructive hyper-heuristic could be advantageous on solving dynamic adaptation optimization problems.

关键词： Dynamic scheduling Job shop scheduling Optimization Genetic algorithms Processor scheduling Evolutionary computation

来源：评论

学校读者我要写书评

暂无评论

Racing based approach for Metaheuristics parameter tuning

Racing based approach for Metaheuristics parameter tuning

引用

Iberian Conference on Information Systems and Technologies (CISTI)

作者： Ivo Pereira Ana Madureira GECAD - Knowledge Engineering and Decision Support Research Center School of Engineering from Polytechnic of Porto (ISEP/IPP) Porto Portugal

Metaheuristics are very useful to achieve good solutions in reasonable execution times. Sometimes they even obtain optimal solutions. However, to achieve near-optimal solutions, the appropriate tuning of parameters is required. This paper presents a Racing based learning module proposal for an autonomous parameter tuning of Metaheuristics. After a literature review on Metaheuristics parameter tuning and Racing approaches, the learning module is presented. A computational study for the resolution of the Scheduling problem is also presented. Comparing the preliminary obtained results with previous published results allow to conclude about the effectiveness and efficiency of this proposal.

关键词： Tuning Processor scheduling Job shop scheduling Optimization Bibliographies Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Demand Response in Electric Vehicles Management Optimal Use of End-User Contracts

Demand Response in Electric Vehicles Management Optimal Use ...

引用

Mexican International Conference on Artificial Intelligence, MICAI

作者： João Soares Zita Vale Hugo Morais Nuno Borges GECAD - Knowledge Engineering and Decision-Support Research Centre Polytechnic of Porto (ISEP/ IPP) Porto Portugal

Demand Response (DR) has gained attention in the past few years. With the mass introduction of Electric Vehicles (EVs) the opportunity for DR programs can grow even more. This paper concentrates on a specific type of DR, namely evaluating different scenarios with respect to end-user EVs tariffs. The effects of different tariffs are compared in several scenarios in terms of the Virtual Power Plant (VPP) operation costs and also the EVs' perspective, i.e. considering the optimal use of end-user contracts. To solve the Mixed Integer Non-Linear Problem (MINLP) a modernized optimization approach is used by combining a deterministic method in the first stage, relaxing the problem to a Mixed Integer Linear Problem (MILP) with the use of a computational intelligence method in the second stage, namely Particle Swarm Optimization (PSO). The case study presents different price scenarios, namely, singletariff, bi-tariff, tri-tariff, tetra-tariff, and Real-Time Pricing (RTP). The network used for this application is a 33-bus distribution network with high penetration of renewables and a fleet of 30 electric buses.

关键词： Energy resources Contracts Power generation Vehicles Load management Optimization Pricing

来源：评论

学校读者我要写书评

暂无评论

Characterize a step using machine learning

International Journal of Multimedia and Ubiquitous Engineeri...

引用

International Journal of Multimedia and Ubiquitous engineering 2015年第11期10卷 69-84页

作者： Anacleto, Ricardo Figueiredo, Lino Almeida, Ana Novais, Paulo Meireles, António GECAD - Knowledge Engineering and Decision Support Research Center School of Engineering - Polytechnic of Porto Porto Portugal DI/CCTC - Computer Science and Technology Center University of Minho Braga Portugal

Most of pedestrian inertial navigation system estimates displacement based on the integration of inertial sensors measurements. However, due to low-cost sensors and pedestrian dead reckoning inherent characteristics these systems provide huge location estimation errors. To suppress some of these limitations we propose a pedestrian inertial navigation system based on low-cost sensors and on information fusion and learning techniques. The proposed system introduces a step characterization module that characterizes the step according to the activity that the pedestrian is performing. This module performs three characterizations: terrain, direction and length. Thus, in this work are presented and evaluated several machine learning approaches that perform the terrain characterization. The inclusion of this machine learning module led to a significantly better performance of the pedestrian inertial navigation system. © 2015 SERSC.

关键词： Inertial navigation systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：