The optimal scheduling strategy of the active distribution system (ADS) is the core technology required to actively manage distributed clean energy resources (DERs) and to guarantee the safe and economical operation o...
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The optimal scheduling strategy of the active distribution system (ADS) is the core technology required to actively manage distributed clean energy resources (DERs) and to guarantee the safe and economical operation of ADS. This study presents an optimal dispatching model for the ADN on the basis of ADS itself and DERs features, whose purposes are making full use of clean energy resources, improving voltage quality and minimising the operational expenditures in a complete scheduling cycle by means of controllable DERs output. For the non-linear model, the brain storm optimisation algorithm is applied to solve the optimal scheduling model of ADS. A large number of case studies using the improved IEEE33 nodes system demonstrate the validity of the proposed the strategy.
The volume of data available has risen significantly in recent years due to advancements in data gathering techniques in different fields. The collected data in many domains are typically of high dimensionality, makin...
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ISBN:
(纸本)9783031407246;9783031407253
The volume of data available has risen significantly in recent years due to advancements in data gathering techniques in different fields. The collected data in many domains are typically of high dimensionality, making it impossible to select an optimum range of features. There are many existing research papers that discuss feature selection process used by metaheuristic algorithm. One of them is brainstormoptimisation (BSO) algorithm, which is relatively new swarm intelligence algorithm that mimics the brainstorming process in which a group of people solve a problem together. The aim of this paper is to present and analyse hybrid BSO algorithm solutions combined with other metaheuristic algorithms in feature selection process. The hybrid BSO algorithm overcomes the lack of exploitation in the original BSO algorithm;and simultaneously, the obtained statistical results prove the efficiency and robustness over other state-of-the-art approaches.
Rational partitioning method of power grid is the premise and foundation to implement wide-area backup protection with multi-source information. This study shows the universal structure of a wide-area backup protectio...
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Rational partitioning method of power grid is the premise and foundation to implement wide-area backup protection with multi-source information. This study shows the universal structure of a wide-area backup protection system based on regional centralised decision-making mode, and presents a multi-objective optimisation method of power grid partitioning. Under the premise of reliable protection, a multi-objective function is built, comprehensively considering the communication performance, overlap rate, and the balance of regional workloads. To obtain the optimal result, the brainstormoptimisation (BSO) algorithm is used in this study. The method is applied on IEEE 11-bus and 39-bus test systems and simulated data is used to verify the effectiveness and feasibility of the optimisation method.
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