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This paper presents a multi-objective fuzzy optimal transaction model based on optimal power flow for electricity market. The proposed mode! is formulated as multi-objective optimization problem of minimizing both pool purchase cost and the pollution emission, which takes the generator capacity, transmission lines capability and node voltage security constraints into account. Firstly, the pool purchase...
This paper presents a new approach for environmental/economic transaction planning model of the electricity market. The environmental/economic transaction planning problem is formulated as a multi-objective optimal power flow (MOPF) problem. A novel algorithm using multiobjective particle swarm optimization (MOPSO) and non-stationary multi-stage assignment penalty function is proposed to solve this...
A SLIQ algorithm which use Gini index to select attribute is presented in this paper . How to improve efficiency is also discussed. Some key aspects are introduced, such as splitting for numeric attributes and categorical attributes, presorting techniques, tree pruning, breadth-first growth strategy. A method based on SLIQ is applied to the generation unit's bidding decision system of electricity...
This paper presents a novel fuzzy comprehensive evaluation approach based on Apriori algorithm for unit's bidding ability assessment in electricity market. The weight's value is determined by expert's knowledge in normal fuzzy comprehensive evaluation model. In proposed model, the weight's value of multi-factors is adjusted by improved Apriori algorithm to find association among many factors. Then,...
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