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博碩士論文 etd-0520116-121250 詳細資訊
Title page for etd-0520116-121250
論文名稱
Title
利用多重燃料考慮需量反應的壅塞管理
Congestion Management Considering Demand Response with Multiple Fuels
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
98
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2016-06-16
繳交日期
Date of Submission
2016-06-20
關鍵字
Keywords
需量反應、最佳化電力潮流、誘因、發電機組重新調度、壅塞管理、彈性需量
Generation Re-dispatch, Demand Elasticity, Incentive, Optimal Power Flow, Demand Response, Congestion Management
統計
Statistics
本論文已被瀏覽 5783 次,被下載 143
The thesis/dissertation has been browsed 5783 times, has been downloaded 143 times.
中文摘要
本研究實現一個根基於電力自由化市場與需量反應計畫,全新的即時壅塞管理架構;需量反應計畫可讓用戶自願降低自身電力需量以解除壅塞,該計畫模型建構於彈性需量並同時考量獎勵機制,在模擬中用戶可透過不同程度的彈性需量來檢驗其對於解除壅塞的貢獻度,模擬將使用最佳化電力潮流(Optimal Power Flow, OPF)應用於 IEEE 30 Bus 範例系統,其輸出為最佳的壅塞管理成本、發電機組與參與需量反應計畫用戶之重新調度結果
Abstract
A new framework of real time congestion management in deregulated and
competitive power system based on a combination of Demand Response program and generation re-dispatch is proposed in this research. Demand Response program is implemented through customer’s participation who volunteer to reduce their consumption during congestion. The program is modeled based on demand elasticity and considering incentives. Different level of demand elasticity values are introduced to the customers in the simulation to examine their contribution in congestion relief. The simulation test is conducted on IEEE 30 bus system using Optimal Power Flow. The results of this optimization are the cost to manage congestion and optimal re-dispatch of generators with participation of customers in Demand Response Program.
目次 Table of Contents
Acknowledgments …………………………………………………….. i
Abstract Chinese ……………………………………………………… ii
Abstract English ……………………………………………………… iii
Table of Contents ……………………………………………………… iv
List of Figures ……………………………………………………… viii
List of Tables ……………………………………………………… ix
Chapter 1 Introduction
1.1 Introduction …………………………………………………….... 1
1.2 Motivation ……………………………………………………... 4
1.3 Literature Review …………………………………………………… 5
1.4 Content Organization ……………………………………………………... 8
Chapter 2 Transmission Congestion Management in Electricity Market
2.1 Basic Concept in Electricity Market …………………………………........ 10
2.1.1 Objectives of Market Operation ……………………………… 10
2.1.2 Different Entities in Electricity Market Structure ……………… 10
2.1.3 Electricity Pools …………………………………………….... 12
2.1.4 Market Equilibrium ……………………………………………… 13
2.1.5 Transmission Network in Electricity Market …………………... 14
2.2 Congestion Management ……………………………………………… 15
2.2.1 Definition of Congestion Management …………………….... 15
2.2.2 Congestion Management Method in Real Time ………………. 17
2.3 Local Marginal Price ……………………………………………………… 18
Chapter 3 Demand Response (DR)
3.1 Definition and Classification of DR ……………………………………… 20
3.2. Benefit of DR ……………………………………………………………… 20
3.3 The Role of DR in Electric Power System ……………………………… 24
3.4 Modeling Emergency Demand Response Program (EDRP) to Alleviate Congestion
Based on Demand Elasticity …………………………………………….. 25
3.4.1 Basic Concept for Implementing EDRP …………………….. 25
3.4.2 Economic Model of Demand Elasticity …………………….. 26
3.4.3 Modeling EDRP based on Demand Elasticity …………………… 28
Chapter 4 Optimal Power Flow( as a Tool to Manage Transmission Congestion)
with Piecewise Quadratic Cost Function
4.1 Introduction …………………………………………………………….. 31
4.2 Identification of the Most Economic Fuel using Particle Swarm Optimization 32
4.2.1 Introduction of PSO …………………………………………….. 32
4.2.2 Problem Formulation ………………………………………….. 35
4.2.3 Implementation of PSO approach for Fuel Selection …………... 37
4.3 Modeling OPF …………………………………………………….. 44
4.4 OPF with Selecting Fuel using Primal Dual Interior Point Method (PDIPM) 46
4.5.1 Obtaining the Optimality Conditions ……………………… 46
4.5.2 The Primal Dual Algorithm ……………………………… 48
4.5.3 Choice of Initial Point ……………………………………… 50
Chapter 5 Generation and Demand Re-dispatch for Congestion Management
5.1 Auction Based Market Clearing Formulation ……………………… 52
5.1.1 Outline of Market Clearing Procedure ……………………… 52
5.1.2 Market Clearing Formulation ……………………………... 52
5.2 Formulation of Congestion Management Based on Generation Re-Dispatch 55
5.3 Formulation of Congestion Management Based on Generation Re-Dispatch and
Implementation of EDRP ……………………………………………… 56
Chapter 6 Simulation Result
6.1 Identification of the Most Economic Fuel using Particle Swarm
Optimization 58
6.2 Congestion Management Procedure: Cases ……………………… 59
6.3 Market Settlement ……………………………………………............... 60
6.4 Results of Power Flow ……………………………………………... 61
6.5 Congestion Management Based on Generation Re-dispatch ………….........63
6.6 Congestion Management Based on Generation and Demand Re-dispatch (with DR program) …………………………………………………………….. 64
Chapter 7 Conclusions
7.1 Conclusions ……………………………………………………………… 71
References ……………………………………………………………… 73
Appendix
Appendix A ……………………………………………………………… 78
A.1 One Line Diagram of IEEE 30-Bus System ………………………. 78
A.2 Bus Data for IEEE 30-Bus System ………………………. 79
A.3 Line Data for IEEE 30-Bus System ……………………….. 80
A.4 Generator Data for IEEE 30-Bus System with Piecewise Quadratic Cost
Coefficient ………………………………………………………. 81
Appendix B
B.1 Identification of the Most Economic Fuel using PSO ……….. 82
B.2 OPF with Selecting Fuel using Primal Dual Interior Point Method
(PDIPM) ………………………………………………………. 82
B.3 Power Flow solution by Newton Raphson method to check the line flow
limit ……………………………………………………… 83
B.4 IEEE 30 – Bus Nodal Price In Congestion Management with Different
Demand Elasticity Value …………………………………….. 84
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