权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

The Basic Concept, Analysis and Control of Super Distributed Energy Systems

超级分布式能源系统的基本概念、分析与控制

基本信息

批准号：
15560252
负责人：
YASUDA Keiichiro
金额：
$ 2.11万
依托单位：
Tokyo Metropolitan University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

项目摘要

1. The Basic Concept and Decentralized AutonomousControl of Super Distributed Energy SystemsNew small-scale dispersed generation systems, such as fuel cells and micro gas-turbines have made remarkable advances lately and they will be applied practically in the near future. Although a large number of researches on the introduction of small-scale dispersed generation systems have been carried out, only a small number of small-scale dispersed generation systems are considered in these researches. Therefore, little is known about problems to be solved in case where a large number of small-scale dispersed generation systems are introduced into electric power systems. This study deals with a super distributed energy system that consists of a great number of dispersed generation systems such as fuel cells, micro gas turbines and so on. The behavior of a customer with a dispersed generation system is simulated as the Ising model in statistical mechanics. The necessity of a distribution network … More in super distributed energy systems is discussed based on the Ising model. The feasibility of decentralized autonomous control using vicinity information is also investigated on the basis of stability analysis of the Hopfield neural network model.2. Proximate Optimality Principle Based Tabu SearchAn algorithm - Multi Criteria Tabu Search coordinating the intensification and the diversification based on a Proximate Optimality Principle (POP)-, which has several advantages for solving combinatorial optimization problems, is proposed. The proposed algorithm is applied to some traveling salesman problems, which are typical combinatorial optimization problems in order to verify the performance of the proposed algorithm.3. Adaptive Particle Swarm OptimizationThe purpose of this study is to realize the proper transition from global search to local search for any types of optimization problems. Then the activity of swarm is introduced in order to measure the diversity of search. And an adaptive adjustment strategy of own parameters in order to realize proper transitions from global search to local search is proposed. The simulation results indicate that proposed method has higher optimality than conventional method. Less

1. 超级分布式能源系统的基本概念及分散自主控制燃料电池、微型燃气轮机等新型小型分布式发电系统近年来取得了显著进展，并将在不久的将来得到实际应用。虽然对小规模分散发电系统的引入进行了大量的研究，但这些研究只考虑了少数的小规模分散发电系统。因此，在电力系统中大量引入小规模分散发电系统所要解决的问题，人们知之甚少。本文研究的是由燃料电池、微型燃气轮机等大量分散发电系统组成的超级分布式能源系统。采用统计力学中的Ising模型对分布式发电系统的客户行为进行了模拟。基于Ising模型，讨论了超级分布式能源系统中配电网的必要性。在Hopfield神经网络模型稳定性分析的基础上，探讨了利用邻近信息进行分散自主控制的可行性。基于近似最优原则的禁忌搜索算法-基于近似最优原则（POP）的多准则禁忌搜索算法，在解决组合优化问题时具有许多优点。将该算法应用于典型的组合优化问题旅行商问题，验证了该算法的有效性。自适应粒子群优化本研究的目的是实现任意类型的优化问题从全局搜索到局部搜索的适当过渡。然后引入群体活动来衡量搜索的多样性。提出了一种自适应参数调整策略，以实现从全局搜索到局部搜索的适当过渡。仿真结果表明，该方法比传统方法具有更高的最优性。少