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International Conference on European Electricity Market, EEM

作者： Pedro Ermida Judite Ferreira Zita Vale Tiago Sousa GECAD (Knowledge Engineering and Decision-Support Research Center) of The Institute of Engineering Polytechnic Institute of Porto (ISEP/IPP) Portugal

An auction model is used to increase the individual profits for market players with products they do not use. A Financial Transmission Rights Auction has the goal of trade transmission rights between Bidders and helps them raise their own profits. The ISO plays a major rule on keep the system in technical limits without interfere on the auctions offers. In some auction models the ISO decide want bids are implemented on the network, always with the objective maximize the individual profits for all bidders in the auction. This paper proposes a methodology for a Financial Transmission Rights Auction and an informatics application. The application receives offers from the purchase and sale side and considers bilateral contracts as Base Case. This goal is maximize the individual profits within the system in their technical limits. The paper includes a case study for the 30 bus IEEE test case.

关键词： Marketing and sales Programming Manganese

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Emergency energy resource management in SmartGrids

Emergency energy resource management in SmartGrids

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International Conference on Critical Infrastructures, CRIS

作者： Z. Vale H. Morais P. Faria J. Ferreira GECAD Knowledge Engineering and Decision Support Research Center Institute of Engineering Polytechnic of Porto (ISEP IPP) Porto Portugal

Energy resources management can play a very relevant role in future power systems in a SmartGrid context, with intensive penetration of distributed generation and storage systems. This paper deals with the importance of resource management in incident situations. The paper presents DemSi, an energy resources management simulator that has been developed by the authors to simulate electrical distribution networks with high distributed generation penetration, storage in network points and customers with demand response contracts. DemSi is used to undertake simulations for an incident scenario, evidencing the advantages of adequately using flexible contracts, storage, and reserve in order to limit incident consequences.

关键词： Contracts Energy resources Load modeling Optimization Context Load management Electricity

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Optimal methodology for renewable energy dispatching in islanded operation

Optimal methodology for renewable energy dispatching in isla...

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IEEE PES Transmission and Distribution Conference and Exposition

作者： H.M. Khodr Zita A. Vale Carlos Ramos J.P. Soares H. Morais Péter Kádár GECAD-Knowledge Engineering and Decision-Support Research Center Electrical Engineering Institute of Porto Polytechnic Institute of Porto Porto Portugal

ISBN: (纸本)9781424465460;9781424465477

The management of energy resources for islanded operation is of crucial importance for the successful use of renewable energy sources. A Virtual Power Producer (VPP) can optimally operate the resources taking into account the maintenance, operation and load control considering all the involved cost. This paper presents the methodology approach to formulate and solve the problem of determining the optimal resource allocation applied to a real case study in Budapest Tech's. The problem is formulated as a mixed-integer linear programming model (MILP) and solved by a deterministic optimization technique CPLEX-based implemented in General Algebraic Modeling Systems (GAMS). The problem has also been solved by Evolutionary Particle Swarm Optimization (EPSO). The obtained results are presented and compared.

关键词： Renewable energy resources Dispatching Cost function Power generation Batteries Wind energy generation Photovoltaic systems Solar power generation Power systems Resource management

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Zonal prices analysis supported by a data mining based methodology

Zonal prices analysis supported by a data mining based metho...

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IEEE General Meeting Power& Energy Society

作者： Judite Ferreira Sérgio Ramos Zita Vale J. P. Soares GECAD-Knowledge Engineering and Decision-Support Research Center Electrical Engineering Institute of Porto Polytechnic Institute of Porto Porto Portugal

A methodology based on data mining techniques to support the analysis of zonal prices in real transmission networks is proposed in this paper. The mentioned methodology uses clustering algorithms to group the buses in typical classes that include a set of buses with similar LMP values. Two different clustering algorithms have been used to determine the LMP clusters: the two-step and K-means algorithms. In order to evaluate the quality of the partition as well as the best performance algorithm adequacy measurements indices are used. The paper includes a case study using a Locational Marginal Prices (LMP) data base from the California ISO (CAISO) in order to identify zonal prices.

关键词： Clustering algorithms Partitioning algorithms Data mining Algorithm design and analysis Software algorithms Clustering methods Pricing

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Distributed Energy Resources Management with Cyber-Physical SCAD A in the Context of Future Smart Grids

Distributed Energy Resources Management with Cyber-Physical ...

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IEEE Mediterranean Electrotechnical Conference

作者： Z. Vale H. Morais P. Faria H. Khodr J. Ferreira Peter Kadar Knowledge Engineering and Decision Support Research Center (GECAD) Institute of Engineering - Polytechnic of Porto (ISEP/IPP) Knowledge Engineering and Decision Support Research Center (GECAD) Institute of Engineering - Polytechnic of Porto(ISEP/IPP) Department of Electric Power Engineering Budapest University of Technology and Economics

ISBN: (纸本)9781424457939

In the energy management of a small power system, the scheduling of the generation units is a crucial problem for which adequate methodologies can maximize the performance of the energy supply. This paper proposes an innovative methodology for distributed energy resources management. The optimal operation of distributed generation, demand response and storage resources is formulated as a mixed-integer linear programming model (MILP) and solved by a deterministic optimization technique CPLEX-based implemented in General Algebraic Modeling Systems (GAMS). The paper deals with a vision for the grids of the future, focusing on conceptual and operational aspects of electrical grids characterized by an intensive penetration of DG, in the scope of competitive environments and using artificial intelligence methodologies to attain the envisaged goals. These concepts are implemented in a computational framework which includes both grid and market simulation.

关键词： Smart grids distributed energy resources grids Power grids Energy management DIESEL GENERATOR power systems conceptual Sight

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An architecture for Idea Generation in Smart Meeting Rooms

An architecture for Idea Generation in Smart Meeting Rooms

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2nd International Ambient-Intelligence-Forum

作者： Freitas, Carlos Filipe Ramos, Carlos Alferes, Jose GECAD ISEP Knowledge Engineering and Decision Support Research Center Portugal CENTRIA UNL Portugal ISEP - Institute of Engineering Polytechnic of Porto Portugal UNL-FCT New University of Lisbon Portugal

ISBN: (纸本)9781607504818;9781607504801

In this we propose a software architecture to support the Groups in meetings of Ideas Generation in an Ambient Intelligence context. The main issue is how the explicit information, that already exists in the meetings, is represented in order to be easily accessed for future usage. This enables environments in the context of work (Meeting Rooms) to be able to review the past, to be aware of the current context and to be able to propose solutions/ideas for future meetings. The knowledge management is achieve by means of intelligent agents, which must perform tasks such as building knowledge on Domain Ontologies, finding related/equal/opposite issues on indexed knowledge, and delivering the knowledge to the users in appropriate time.

关键词： Ontologies Ideas Generation knowledge Management and Reasoning

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Notice of Violation of IEEE Publication Principles: A Benders Decomposition and Fuzzy Multicriteria Approach for Distribution Networks Remuneration Considering DG

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IEEE Transactions on Power Systems 2009年第2期24卷 1091-1101页

作者： H. M. Khodr Zita A. Vale Carlos Ramos GECAD-Knowledge Engineering and Decision-Support Research Center Electrical Engineering Institute of Porto Polytechnic Institute of Porto Porto Portugal

Notice of Violation of IEEE Publication Principles "A Benders Decomposition and Fuzzy Multicriteria Approach for Distribution Networks Renumerations Considering DG" by H.M. Khodr, Zita A. Vale, Carlos Ramos in the IEEE Transactions on Power Systems, Vol 24, No 2, May 2009 After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. This paper was found to have copied verbatim portions of text and figures from the paper cited below. A credit notice is used, but due to the absence of quotation marks or offset text, copied material is not clearly referenced or specifically identified. "Renumerations of Distributed Networks using a Fuzzy Multicriteria Planning Algorithm" by P.M. De Oliveira-De Jesus, M.T. Ponce de Leao, H.M. Khodr, in the Proceedings of the International Conference on Probabilistic Methods Applied to Power Systems, June 2006 In this paper, the remuneration of fixed costs of distribution networks with distributed generation is evaluated by means of an efficient planning strategy that includes the concept of fuzzy robustness of a given solution plan. As a key contribution, it is included the possibility of choice among different conductor sizes in order to assess the deep costs by overcapacity introduced by distributed generation. A single-stage multicriteria nonlinear problem is stated using three different criteria: investment cost in lines and transformers or distributed generators, power losses cost and unserved energy cost. Pareto or efficient plans are identified using the epsiv- Constraint/Weighting method and solved by Benders decomposition algorithm. Uncertainty associated to load demand and power injections of distributed resources are integrated using a fuzzy power flow in order to obtain the robustness indexes of each Pareto solution. The annualized fixed charge rate (AFCR) associated to new and existing di

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Notice of Violation of IEEE Publication Principles: Optimal Cost-Benefit for the Location of Capacitors in Radial Distribution Systems

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IEEE Transactions on Power Delivery 2009年第2期24卷 787-796页

作者： H. M. Khodr Zita Vale Carlos Ramos GECAD-Knowledge Engineering and Decision-Support Research Center Electrical Engineering Institute Porto-Polytechnic Institute of Porto (ISEP/IPP) Porto Portugal

Notice of Violation of IEEE Publication Principles "Optimal Cost-Benefit for the Location of Capacitors in Radial Distribution Systems" by H.M. Khodr, Zita A. Vale, Carlos Ramos in the IEEE Transactions on Power Delivery, Vol 24, No 2, April 2009 After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. This paper was found to be a near verbatim copy of the paper cited below. The original text was reused without appropriate attribution to the original publication, nor to the coauthors of the original paper. Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following paper: "Maximum Savings Approach for Location and Sizing of Capacitors in Distribution Systems" by H.M. Khodr, F.G. Olsina, P.M. De Oliveira-De Jesus, J.M. Yusta, in Electric Power Systems research, 78 (2008), Elsevier, pp. 1192-1203 This paper proposes a computationally efficient methodology for the optimal location and sizing of static and switched shunt capacitors in radial distribution systems. The problem is formulated as the maximization of the savings produced by the reduction in energy losses and the avoided costs due to investment deferral in the expansion of the network. The proposed method selects the nodes to be compensated, as well as the optimal capacitor ratings and their operational characteristics, i.e., fixed or switched. After an appropriate linearization, the optimization problem was formulated as a mixed-integer linear problem, suitable for being solved by means of a widespread commercial package. Results of the proposed optimizing method are compared with another recent methodology reported in the literature using two test cases: a 15-bus and a 33-bus distribution network. For both cases tested, the proposed methodology delivers better s

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Nodal price simulation in competitive electricity markets

Nodal price simulation in competitive electricity markets

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International Conference on European Electricity Market, EEM

作者： Judite Ferreira Zita Vale Ricardo Puga GECAD-Knowledge Engineering and Decision-Support Research Center of the Institute of Engineering Polytechnic of Porto Porto Portugal

Locational marginal prices (LMP) are important pricing signals for the participants of competitive electricity markets, as the effects of transmission losses and binding constraints are embedded in LMPs. This paper presents a software tool that evaluates the nodal marginal prices considering losses and congestion. The initial dispatch is based on all the electricity transactions negotiated in the pool and in bilateral contracts. It must be checked if the proposed initial dispatch leads to congestion problems; if a congestion situation is detected, it must be solved. An AC power flow is used to verify if there are congestion situations in the initial dispatch. Whenever congestion situations are detected, they are solved and a feasible dispatch (re-dispatch) is obtained. After solving the congestion problems, the simulator evaluates LMP. The paper presents a case study based on the the 118 IEEE bus test network.

关键词： Electricity supply industry Costs Pricing Load flow Propagation losses Energy management Computational modeling Software tools Contracts knowledge engineering

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Ancillary service market simulation

Ancillary service market simulation

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IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific

作者： Zita A. Vale Carlos Ramos Pedro Faria J.P. Soares B.R. Canizes H.M. Khodr GECAD-Knowledge Engineering and Decision-Support Research Center of the Institute of Engineering Polytechnic Institute of Porto Porto Portugal

Power systems operation in a liberalized environment requires that market players have access to adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper deals with ancillary services negotiation in electricity markets. The proposed concepts and methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case concerning the dispatch of ancillary services using two different methods (linear programming and genetic algorithm approaches) is included in the paper.

关键词： Electricity supply industry Power system simulation Automatic generation control Testing Automatic voltage control knowledge engineering Power system stability Asia Production Distributed control

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