Research on Integrated Methods for Optimal Operational Management of Distributed Energy Systems

分布式能源系统优化运行管理集成方法研究

• 批准号: 15560734
• 负责人: YOKOYAMA Ryohei
• 金额: $ 2.18万
• 依托单位: Osaka Prefecture 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
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15560734/
• 关键词: Energy Management; Distributed Energy System; Prediction; Operation; Control; Optimization; Simulation

In recent years, distributed energy systems have been installed increasingly for the purpose of reducing energy consumption and environmental effect. In general, seasonal and hourly variations in energy demands are larger in the commercial sector than in the industrial one. Therefore, operational management is a very important subject to promote energy saving positively in the commercial sector.The objectives of this research are to develop integrated methods for the prediction of energy demands, the optimal operational planning of energy systems, and the optimal control of energy systems as an optimal operational management system to promote energy saving positively, and to apply them to an existing energy system. The following are the main results obtained by the research :1.Prediction methods based on the time series analysis and neural network have been developed to predict energy demands. They have been revised so that they are suitable for operational planning by minimizing not o … More nly the errors between predicted and measured values but also the variations in predicted values. In addition, their accuracy has been improved by combining them with the prediction of some factors, such as air temperature, which affect energy demands.2.An optimal operational planning method has been developed by using a nonlinear programming method which enables one to derive a global quasi-optimal solution, named "Modal Trimming Method." It has been combined hierarchically with an optimal control method based on the model predictive control. These methods enable one to rationally determine the set values of controlled variables and the optimal values of manipulating variables.3.A general-purpose system for dynamic simulation of energy systems has been developed. An existing heat supply system for air conditioning has been studied as an example, and its dynamic simulation model has been created. The dynamic simulation has been conducted under certain conditions by the aforementioned hierarchical combination of the optimal operational planning and control, and simulation results have been validated. Less

近年来，为了降低能源消耗和对环境的影响，分布式能源系统的装机容量越来越大。总体而言，商业部门能源需求的季节性和每小时变化大于工业部门。因此，运行管理是商业部门积极推动节能的一项非常重要的课题。本研究的目的是开发能源需求预测、能源系统最优运行规划和能源系统最优控制的综合方法，作为一种最优运行管理系统，积极促进节能，并将其应用于现有能源系统。主要研究成果如下：1.提出了基于时间序列分析和神经网络的能源需求预测方法。已对它们进行了修改，以便通过将Not o…降至最低而适用于运营计划更确切地说，不仅是预测值和实测值之间的误差，而且还有预测值的变化。此外，通过将它们与影响能源需求的一些因素(如气温)的预测相结合，提高了精度。2.利用一种非线性规划方法，提出了一种最优运行计划方法，该方法可以得到一个全局准最优解，称为“模式调整法”。将其与一种基于模型预测控制的最优控制方法进行了分层结合。这些方法使人们能够合理地确定被控变量的设定值和操纵变量的最佳值。3.开发了一个通用的能源系统动态仿真系统。以现有空调供热系统为例，建立了该系统的动态仿真模型。利用上述最优运行计划与控制的递阶组合，在一定条件下进行了动态仿真，并对仿真结果进行了验证。较少

项目成果

大域的最適化手法によるニューラルネットワークを用いたエネルギー需要量予測

使用全局优化方法使用神经网络进行能源需求预测

• 发表时间: 2005
• 期刊: 日本機械学会第15回設計工学・システム部門講演会講演論文集
• 作者: 横山良平;乾誠;伊東弘一
• 通讯作者: 伊東弘一

空調熱源システムの最適運用計画とモデル予測制御の統合による省エネルギー化の検討

空调热源系统优化运行规划与模型预测控制相结合的节能思考

• 发表时间: 2006
• 期刊: 日本機械学会関西支部第81期定時総会講演会講演論文集
• 作者: 三村聡;横山良平;伊東弘一;涌井徹也;神村一幸;松葉匡彦
• 通讯作者: 松葉匡彦

Comprehensive Utilization of Optimization Methods for Operational Management of Energy Supply Systems

综合运用优化方法进行供能系统运行管理

• 发表时间: 2005
• 期刊: Proceedings of the JSME 2005 Symposium on Environmental Engineering
• 作者: Ryohei Yokoyama;Koichi Ito
• 通讯作者: Koichi Ito

A Method of Predicting Energy Demands in Consideration of Minimizing Variations in Their Predicted Values

一种考虑最小化预测值变化的能源需求预测方法

• 发表时间: 2004
• 期刊: Proceedings of the JSME Design and Systems Conference 2003
• 作者: Ryohei Yokoyama;Daisuke Kumashiro;Koichi Ito;Kazuyuki Kamimura;Tadahiko Matsuba
• 通讯作者: Tadahiko Matsuba

Energy Conservation of a Heat Supply System for Air Conditioning by Integration of Optimal Operational Planning and Model Predictive Control

优化运行规划与模型预测控制相结合的空调供热系统节能

• 发表时间: 2006
• 期刊: Proceedings of the JSME Kansai Branch Annual Conference 2006
• 作者: Satoshi Mimura;Ryohei Yokoyama;Koichi Ito;Tetsuya Wakui;Kazuyuki Kamimura;Tadahiko Matsuba
• 通讯作者: Tadahiko Matsuba