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 distribution lines and transformers or distributed generators is assessed through a with-without analysis permitting to compute the annual avoided charge rate (AACR) in order to send incentives or charges to distributed generation promoters by the avoided or added investment costs on the system. The model is programmed in GAMS mathematical modeling language. The effectiveness of the proposal is demonstrated through a real 201-node distribution network.

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

With the increasing importance of e-commerce across the Internet, the need for software agents to support customers and suppliers in buying and selling goods/services is growing rapidly. It is becoming increasingly evident that in a few years the Internet will host a large number of interacting software agents. Most of them will be economically motivated, and will negotiate a variety of goods and services. It is therefore important to consider the economic incentives and behaviors of economic software agents, and to use all available means to anticipate their collective interactions. This paper addresses this concern by presenting a multiagent market simulator designed for analyzing agent market strategies based on a complete understanding of buyer and seller behaviors, preference models and pricing algorithms, and considering risk preferences. The system includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions. The results of the negotiations between agents are analyzed by data mining algorithms to extract rules that give agents feedback to improve their strategies

/pdf/isem-a-multiagent-simulator-for-testing-agent-market-4umwt62dbv.pdf

ISEM: a multiagent Simulator for testing agent market strategies

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 -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 ex- istingdistributionlinesandtransformersordistributedgenerators is assessed through a with-without analysis permitting to compute the annual avoided charge rate (AACR) in order to send incentives or charges to distributed generation promoters by the avoided or added investment costs on the system. The model is programmed in GAMS mathematical modeling language. The effectiveness of the proposal is demonstrated through a real 201-node distribution network.

http://ieeexplore.ieee.org/iel5/59/4839059/04813185.pdf

A Benders Decomposition and Fuzzy Multicriteria Approach for Distribution Networks Remuneration Considering DG

Congestion management in restructured power systems

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 [1],[2].

Nodal price simulation in competitive electricity markets

In a liberalized electricity market, the transmission system operator (TSO) plays a crucial role in power system operation. Among many other tasks, TSO detects congestion situations and allocates the payments of electricity transmission. This paper presents a software tool for congestion management and transmission price determination in electricity markets. The congestion management is based on a reformulated optimal power flow (OPF), whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the dispatch proposed by the market operator. The transmission price computation considers the physical impact caused by the market agents in the transmission network. The final tariff includes existing system costs and also costs due to the initial congestion situation and losses costs. The paper includes a case study for the IEEE 30 bus power system.

A Congestion Management and Transmission Price Simulator for Competitive Electricity Markets

This paper presents a software tool (SIMCMTP) that solves congestion situations and evaluates the taxes to be paid to the transmission system by market agents SIMCMTP provides users with a set of alternative methods for cost allocation and enables the definition of specific rules, according to each market and/or situation needs With these characteristics, SIMCMTP can be used as an operation aid for Transmission System Operator (TSO) or Independent System Operator (ISO) Due to its openness, it can also be used as a decision-making support tool for evaluating different options of market rules in competitive market environment, guarantying the economic sustainability of the transmission system

http://ieeexplore.ieee.org/iel5/4568047/4578994/04579043.pdf

Transmission price simulator in a liberalized electricity market

With the increasing importance of electronic commerce across the Internet it is becoming increasingly evident that in a few years the Internet will host a large number of interacting software agents. A vast number of them will be economically motivated, and will negotiate a variety of goods and services. It is therefore important to consider the economic incentives and behaviours of economic software agents, and to use all available means to anticipate their collective interactions. This paper addresses this concern by presenting a multi-agent market simulator designed for analysing agent market strategies based on a complete understanding of buyer and seller behaviours, preference models and pricing algorithms, considering risk preferences. The system includes agents that are capable of increasing their performance with their own experience, by adapting to the market conditions. The results of the negotiations between agents are analysed by data mining algorithms in order to extract rules that give agents feedback to improve their strategies.

ISEM: a multi-agent system that simulates competitive electronic marketplaces

With the increasing importance of electronic commerce across the Internet it is becoming increasingly evident that in a few years the Internet will host large numbers of interacting software agents. A vast number of them will be economically motivated, and will exchange a variety of goods and services. It is therefore important to consider the economic incentives and behaviours of economic software agents, and to use every available means to anticipate their collective interactions. We address this concern by presenting a market simulator designed for analysing agent market strategies based on a complete understanding of buyer and seller behaviours, preference model and pricing algorithms.

José Cardoso

Papers

ISEM: a multiagent Simulator for testing agent market strategies

A Congestion Management and Transmission Price Simulator for Competitive Electricity Markets

Transmission price simulator in a liberalized electricity market

ISEM: a multi-agent system that simulates competitive electronic marketplaces

A simulation-based approach for testing market strategies in electronic marketplaces