A Study on the New Model for Generation Dispatch to Cover the Unpredictable Wind Generator Output Variations in a Multi-Area Competitive Market

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Project title

Code/計畫編號

NSC98-2221-E019-053

Translated Name/計畫中文名

多區域競價市場因應風力發電不確定性之電力調度新模型探討

Project Coordinator/計畫主持人

Chun-Lung Chen

Funding Organization/主管機關

National Science and Technology Council

Co-Investigator(s)/共同執行人

李聰穎

Department/Unit

Department of Marine Engineering

Website

https://www.grb.gov.tw/search/planDetail?id=1915851

Year

2009

Start date/計畫起

01-08-2009

Expected Completion/計畫迄

31-07-2010

Bugetid/研究經費

486千元

ResearchField/研究領域

電子電機工程

"隨著電力工業逐漸的解制，發電量及輔助服務分離競標的調度問題於電力市場中日形重要，期能獲得發電量及輔助服務的最佳配置，同時達到傳輸線壅塞成本最小化的目標。然而當競價市場擁有大量風力發電機組時，因其發電輸出的不確定性將導致獨立系統運轉機構(Independent System Operator；簡稱ISO)於電力調度上面臨極大的挑戰，如何協助ISO 在公開、自由競爭、整體利益與供電安全可靠的前提下，為各發電業、輸電業、配電業與用戶做最佳之電力調度與控制的工作就顯得特別重要，以促使所有參與者得到一個公平不受歧視的環境；此外，電力市場重組後，發電機組的特性將以商業利益為動機且可以每天改變的競標價格曲線，非嚴格遞增的曲線或其他較複雜的競標價格函數使得目標函數存在許多局部最佳解，而電力市場包含多種商品的競標架構，將導致發電量與輔助服務結合調度的問題更形複雜，期能藉由本計畫所發展的技術用以求得較精確的資源排程，可避免引發市場參與者間的爭議。為了確保系統運轉的安全及可靠，本研究計畫擬提出「多區域競價市場」的革新架構以因應多區域風力發電不確定性的問題，同時使得能量、備轉容量市場及壅塞管理合併，以提升市場的經營效率及減少市場的交易成本，達到用戶整體競標給付最小化的目標。本研究計畫亦提出一套「革新粒子群優法：結合權重粒子群優法與直接搜尋法之混合演算法」，用以解決多區域競價市場之發電量與備轉容量結合調度的最佳化問題。幾個技術性限制條件的規劃，可適當地評估出於解制環境下各區域風力機可併入系統之最佳發電容量。區域間電力流量的壅塞及區域備轉容量的需求皆可反應出各區域不同的邊際價格，提供足夠的誘因給予市場參與者，以避免區域間大量的電力潮流。根據研究的結果，提出一些訂定電力市場規則的建議事項，作為國內現階段推動電業自由化規劃的參考。"
"With restructuring of the power industry, competitive bidding for energy and ancillary services are increasingly recognized as an important part of electricity markets. It is desirable to optimal not only the generator’s bid prices for energy and for providing minimized ancillary services but also the transmission congestion costs. However, integration of wind power plants into the existing power market presents challenges to Independent System Operator (ISO) due to the intermittency and unpredictability of wind power generation. How to accommodate a significant proportion of intermittent generation under a competitive environment becomes an important problem to equitably attribute the costs of providing generation reserves to the causers, such as wind generators. In addition, the generators may change their bid prices based on profit motives in a market based system. The inclusion of non-smooth pricing function also increases the non-linearity as well as the number of local optima in the solution space. The importance of joint energy and ancillary service dispatch problem is, thus, likely to increase, and more advanced algorithms for the generation scheduling in a multi-area competitive pool are worth developing to obtain accurate dispatch results. The goal in this research is to develop a new model for generation dispatch to cover the unpredictable wind generator output variations in a multi-area competitive market. Because of the integration of the electric energy, transmission and reserve capacity markets simultaneous, the new formulation for solving schedules and marginal prices should lead to better economic efficiency and reduced transactions costs. A novel algorithm based on a combination of particle swarm optimization and direct search method is developed to solve the economic generation and reserve scheduling problem with large integration of wind energy sources. Several technique constraints are applied to accommodate a significant proportion of intermittent generation under a competitive environment. The effects of tie-line congestion and area spinning reserve requirement are consistently reflected in the marginal price in each area to provide incentives for market participants to avoid undesirable heavy flows among the three areas. Numerical experiments are included to develop some applicable market rules and to provide valuable information for the deregulation of Taiwan power system in the future."

Keyword(s)

競爭市場
輔助服務
能源管理系統
風火力協調排程
區域備轉容量
粒子群優法
直接搜尋法
competitive market
ancillary services
energy management system
wind-thermalcoordination scheduling
area spinning reserve
particle swarm optimization
direct searchmethod

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A Study on the New Model for Generation Dispatch to Cover the Unpredictable Wind Generator Output Variations in a Multi-Area Competitive Market

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