Research on a Novel Framework of the Fuzzy DP and its Application to Power System Planning

模糊DP新框架研究及其在电力系统规划中的应用

• 批准号: 08650324
• 负责人: KITA Hiroyuki
• 金额: $ 1.6万
• 依托单位: HOKKAIDO UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1996
• 资助国家: 日本
• 起止时间: 1996 至 1997
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-08650324/
• 关键词: Fuzzy; Dynamic Programming; Power Systems; Operation of Reservoir; Generation Planning; ファジィ; 貯水池運用計画; 支配度

As a method for solving multistage decision making problems in power system planning, the Dynamic Programming (DP) algorithm has been used. Here, in the time sequential decision making process such as the optimal future planning problem, uncertainty factors are necessarily included in the problem itself.In this research, the authors developed a novel framework of the fuzzy DP where the optimal pass can be deterimined by judging the superiority between the membership functions. This framework is based on the characteristics that objective function itself can be obtained as a fuzzy number by the direct consideration of uncertain data. In this novel framework the optimal solution obtained has a width which will be appeared necessarily as a result of data uncertainties. In other words, the optimal solution is determined as a set. Any decision making which belongs to this set are equal under the fuzzy environment.Further, in this research, the authors investigated characteristics and effect … More iveness of the developed fuzzy DP algorithm by applying it to the hydro-thermal scheduling problem and the generation planning problem which are typical planning problems in the power systems. In the hydro-thermal scheduling problem, the natural inflow to reservoirs and the power demand are given as fuzzy numbers. As a result, the authors could obtain the optimal operation of reservoir as the solution with a band. In the generation planning problem, the authors developed a method for obtaining the future optimal mix of generators as the solution with a band by defining the future costs (fixed cost and variable cost) as fuzzy numbers. Also, the developed method was extended so that the system planner can cope with any senario on the increase of power demand flexibly by setting the uncertainty of the demand as several scenarios. Further, the authors developed a method for determining the optimal generation expansion planning considering the time-lag from a determination of introduction to a start of the operation. Less

动态规划（DP）算法是解决电力系统规划中多阶段决策问题的一种方法。在时间序列决策过程中，如最优未来规划问题，不确定性因素必然包含在问题本身，在这项研究中，作者开发了一种新的框架的模糊DP的最佳通行证，可以通过判断隶属函数之间的优越性。该框架基于目标函数本身可以通过直接考虑不确定数据而得到的模糊数的特点。在这种新的框架中，得到的最优解具有一定的宽度，这将必然出现作为数据的不确定性的结果。换句话说，最优解被确定为一个集合。在模糊环境下，属于这一集合的任何决策都是等价的。此外，在本研究中，作者研究了特征和效果 ...更多信息 通过将模糊DP算法应用于电力系统中典型的水火电调度问题和发电计划问题，验证了模糊DP算法的有效性。在水火电调度问题中，水库的自然来水量和电力需求都是模糊数。结果表明，水库的优化调度可以作为一个带的解。在发电计划问题中，通过将未来成本（固定成本和可变成本）定义为模糊数，提出了一种求解未来最优发电机组合的方法。此外，所开发的方法进行了扩展，使系统规划者可以科普任何事件的电力需求的增加，灵活地设置为几个场景的需求的不确定性。此外，作者开发了一种用于确定最优发电扩展规划的方法，该方法考虑了从确定引入到开始运行的时滞。少

项目成果

G.R.Gibson: "A New Fuzzy Dynamic Programming Approach for Solving the Hydrothermal Scheduling Problem" 電気学会論文誌B分冊. 117・4. 564-571 (1997)

G.R.Gibson：“解决热液调度问题的新模糊动态规划方法”，日本电气工程师学会汇刊，卷 B. 117・4（1997 年）。

伊勢 淳治: "不確定性を考慮した電源の最適導入手順決定手法" 電気学会電力技術.電力系統技術合同研究会資料. 45-49 (1997)

Junji Ise：“考虑不确定性的确定最佳电源安装程序的方法”IEEJ 电力系统技术联合研究组材料 45-49 (1997)。

G.R.Gibson: "A New Fuzzy Dynamic Programming Approach for Solving the Hydrothermal Problem" 電気学会論文誌B分冊. 117-B. 564-571 (1997)

G.R.Gibson：“解决水热问题的新模糊动态规划方法”，日本电气工程师学会汇刊，卷 B. 117-B（1997 年）。

伊勢淳治: "不確定性を考慮した電源の最適導入手順決定手法" 平成9年電気学会全国大会講演論文集. (発表予定). (1997)

Junji Ise：“考虑不确定性的确定最佳电源安装程序的方法”1997 年日本电气工程师学会全国会议论文集（待提交）（1997 年）。

G.R.Gibson: "A Study of Fuzzy Dynamic Programming Technique Applications for Power System Operation Problems." Proc.of the Third Japan-Korea Joint Symposium on Electrical Engineering. 17-20 (1996)

G.R.Gibson：“模糊动态规划技术在电力系统运行问题中的应用研究”。