1,720,988 research outputs found

    An Investigation on Electricity Business Perspectives in Southern Italy Area

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    The Italian electricity market organization is based on a compulsory power pool structure where all electricity buying and selling activities are under the market operators’ control. The Market Clearing Price is determined by the intersection of cumulative saleand purchase- curves. Many crucial aspects may influence the energy price giving rise to market inefficiencies. A typical market inefficiency is the congestion. The paper deals with a simulation tool able to investigate the wholesale energy market when network congestion arises. In this case, the market splitting process into two or more zones is required when the interface flow between neighboring zones exceeds the prefixed transfer limits. The proposed approach is applied to the entire Italian energy market focusing the analysis on the Southern Italy business perspectives. Test results show the effects on the energy price and profits of plant-outage, network configuration changes and of the increasing presence of combined power plants

    A pipelined-in-time parallel algorithm for transient stability analysis

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    A new parallel algorithm for transient stability analysis is presented. An implicit trapezoidal rule is used to discretize the set of algebraic-differential equations which describe the transient stability problem. A parallel-in-time formulation has been adopted. A Newton procedure is used to solve the equations which describe the system at each time step, whereas a Gauss-Seidel algorithm relaxes the solution across the time steps. A Gauss-Seidel-like procedure can be usefully exploited in the parallel processing mode by pipelining the computation through time steps. The parallelism in space of the problem is also exploited. Furthermore, the parallel-in-time formulation is used to change the time steps between iterations by a nested iteration multigrid technique in order to enhance the convergence of the algorithm. The method has the same reliability and model-handling characteristics of typical dishonest Newton-like procedures. Test results on realistic power systems are presented to show the capability and usefulness of the suggested technique

    A simulation tool for studying the day-ahead energy market: The case of Italy

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    Many challenging issues arise in the newly deregulated competitive electric power markets worldwide. Instead of centralized decision-making in a monopolistic environment, as in the past, many parties with different goals are now involved and competing in the market. Key questions to address include how to predict load and Market Clearing Price (MCP). In this paper a simulation tool for investigating the wholesale energy market in a compulsory power exchange/ISO environment is proposed. For each generator (customer) a multi-stage non decreasing (non increasing) bidding curve is considered, based on an appropriate set of quantity/price pairs. The proposed approach allows the analysis of several crucial aspects which may significantly influence MCP, profits and market shares. Using published and estimated data, the simulation tool is applied to investigate the main features of the Italian wholesale energy market that involves five main companies, represented by a specific set of generation technologie
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