電力市場環(huán)境下基于多智能體的風(fēng)電接入成本分?jǐn)傃芯?/H1>

發(fā)布時(shí)間：2019-06-10 15:30

【摘要】：近年來,我國電力市場化改革逐步深入,電力市場初步完成由“垂直一體化”向“廠網(wǎng)分開、競價(jià)上網(wǎng)”的轉(zhuǎn)變,發(fā)電權(quán)交易、輔助服務(wù)補(bǔ)償機(jī)制等多種電力市場化實(shí)踐逐步推行。各區(qū)域電力市場出臺了不同的輔助服務(wù)管理實(shí)施方案,補(bǔ)償原則主要依據(jù)機(jī)組的容量和成本,無法區(qū)分不同機(jī)組參與輔助服務(wù)的貢獻(xiàn)。 隨著我國對能源保障和節(jié)能減排的重視,大力發(fā)展風(fēng)電等可再生能源是能源戰(zhàn)略的重要部分,風(fēng)電在電網(wǎng)電源中比例的不斷提高。風(fēng)電具有間歇性、不確定性,且輸出功率有別于常規(guī)電源的有功出力。對于以火電調(diào)峰為主的電網(wǎng),風(fēng)電的反調(diào)峰特性增加了調(diào)度機(jī)構(gòu)的調(diào)峰壓力。當(dāng)風(fēng)電接入容量超過電網(wǎng)的接納能力時(shí),要棄風(fēng)以保證負(fù)荷平衡。 風(fēng)電并網(wǎng)替代火電機(jī)組發(fā)電,獲得發(fā)電收益的同時(shí)增加了電網(wǎng)的輔助服務(wù)費(fèi)用。一種可行的方法是從風(fēng)電并網(wǎng)的收益取出一部分,作為對水電、火電機(jī)組的輔助服務(wù)的補(bǔ)償。 本文以調(diào)峰為例,從量化風(fēng)電接入引起的機(jī)組調(diào)峰成本和確定基于合作博弈的成本分?jǐn)偡椒▋蓚�(gè)方面,研究分析風(fēng)電并網(wǎng)的調(diào)峰成本補(bǔ)償。首先,本文研究了常規(guī)機(jī)組的調(diào)峰成本,采用名義成本和實(shí)際成本的概念,剔除機(jī)會成本的干擾因素,得到風(fēng)電并網(wǎng)導(dǎo)致的火電機(jī)組的能耗增量。算例構(gòu)建了一個(gè)包含供熱機(jī)組、非供熱火電機(jī)組和水電機(jī)組的電力系統(tǒng),模擬大規(guī)模風(fēng)電接入火電調(diào)峰為主的電網(wǎng),量化分析了風(fēng)電接入后調(diào)峰增加的實(shí)際成本。 其次,本文采用多智能體的方法分析了機(jī)組調(diào)度,以只有發(fā)電商和調(diào)度機(jī)構(gòu)的電力系統(tǒng)為例,在滿足系統(tǒng)功率平衡的條件下,以運(yùn)行成本最小化為目標(biāo),分析了調(diào)度Agent和發(fā)電Agent的行為方式,給出了求解機(jī)組聯(lián)盟的思路。不同機(jī)組聯(lián)盟的調(diào)峰成本不同,成本最小的機(jī)組組合方式為最優(yōu)調(diào)度方式。 最后,本文分析了合作博弈方法對調(diào)峰成本分?jǐn)偟倪m用性,夏普利值分?jǐn)偡ǖ囊罁?jù)是將收益按照所有的邊際貢獻(xiàn)進(jìn)行分?jǐn)?更能體現(xiàn)分?jǐn)偡桨傅墓叫浴Ｋ憷治隽藘蓚�(gè)火電機(jī)組和一個(gè)水電機(jī)組的調(diào)峰成本,假設(shè)對輔助服務(wù)的補(bǔ)償?shù)扔跈C(jī)組組合方案中最高的成本,采用夏普利值分?jǐn)偡ù_定各機(jī)組的調(diào)峰補(bǔ)償,突出了水電機(jī)組的調(diào)峰價(jià)值,為風(fēng)電接入后對常規(guī)機(jī)組的調(diào)峰補(bǔ)償分?jǐn)偺峁┝怂悸贰?br/>[Abstract]:In recent years, the reform of electricity marketization in China has gradually deepened, and the power market has initially completed the transformation from "vertical integration" to "separation of power plants and networks, bidding for the Internet," and the trading of power generation rights. Auxiliary service compensation mechanism and other power marketization practices are gradually implemented. Different implementation schemes of auxiliary service management have been introduced in each regional power market. The compensation principle is mainly based on the capacity and cost of the unit, and it is impossible to distinguish the contribution of different units participating in the auxiliary service. With the attention paid to energy security and energy saving and emission reduction in our country, the development of renewable energy such as wind power is an important part of energy strategy, and the proportion of wind power in power supply of power grid is increasing. Wind power is intermittent and uncertain, and the output power is different from the active power output of conventional power supply. For the power grid dominated by thermal peak shaving, the reverse peak shaving characteristics of wind power increase the peak shaving pressure of dispatching mechanism. When the wind power access capacity exceeds the acceptance capacity of the power grid, the wind should be abandoned to ensure load balance. Wind power connected to the grid replaces thermal power generation, which not only obtains the power generation income, but also increases the auxiliary service cost of the power grid. One feasible method is to withdraw part of the revenue from wind power grid connection as compensation for auxiliary service of hydropower and thermal power units. Taking peak shaving as an example, this paper studies and analyzes the peak shaving cost compensation of wind power grid connection from two aspects: quantifying the peak shaving cost caused by wind power access and determining the cost allocation method based on cooperative game. Firstly, this paper studies the peak shaving cost of conventional units, adopts the concepts of nominal cost and actual cost, eliminates the interference factors of opportunity cost, and obtains the energy consumption increment of thermal power units caused by wind power grid connection. An example is given to construct a power system including heating unit, non-heating thermal power unit and hydropower unit, which simulates the large-scale wind power to connect to the power grid dominated by thermal power peak shaving, and quantitatively analyzes the actual cost of peak shaving after wind power access. Secondly, the multi-agent method is used to analyze the unit dispatching. Taking the power system with only generator and dispatching mechanism as an example, under the condition of satisfying the power balance of the system, the minimum operation cost is taken as the goal. The behavior mode of dispatching Agent and power generation Agent is analyzed, and the idea of solving unit alliance is given. The peak shaving cost of different unit coalitions is different, and the unit combination mode with the lowest cost is the optimal dispatching mode. Finally, this paper analyzes the applicability of cooperative game method to peak-shaving cost allocation. The basis of Sharpley value sharing method is to share the benefits according to all marginal contributions, which can better reflect the fairness of the allocation scheme. The peak shaving cost of two thermal power units and one hydropower unit is analyzed by an example. Assuming that the compensation for auxiliary service is equal to the highest cost in the unit combination scheme, the split value sharing method is used to determine the peak shaving compensation of each unit. The peak shaving value of hydropower units is highlighted, which provides an idea for the allocation of peak shaving compensation for conventional units after wind power access.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：F275.3;F426.61

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 胡朝陽,甘德強(qiáng),韓禎祥,Deb Chattopadhyay;市場機(jī)制下機(jī)組啟動費(fèi)用的分?jǐn)傃芯縖J];電力系統(tǒng)自動化;2004年20期

2 廖勝利;程春田;蔡華祥;蔡建章;吳東平;;改進(jìn)的火電調(diào)峰方式[J];電力系統(tǒng)自動化;2006年01期

3 劉德偉;黃越輝;王偉勝;郭劍波;;考慮調(diào)峰和電網(wǎng)輸送約束的省級系統(tǒng)風(fēng)電消納能力分析[J];電力系統(tǒng)自動化;2011年22期

4 靜鐵巖;呂泉;郭琳;李衛(wèi)東;;水電—風(fēng)電系統(tǒng)日間聯(lián)合調(diào)峰運(yùn)行策略[J];電力系統(tǒng)自動化;2011年22期

5 尹明;王成山;葛旭波;;風(fēng)電并網(wǎng)經(jīng)濟(jì)技術(shù)評價(jià)研究綜述[J];電力系統(tǒng)及其自動化學(xué)報(bào);2010年05期

6 徐敏杰;吳俊勇;胡兆光;張志光;;電力市場環(huán)境下基于多智能體的多目標(biāo)電網(wǎng)規(guī)劃方法[J];電力自動化設(shè)備;2008年01期

7 袁家海,丁偉,胡兆光;基于Agent的計(jì)算經(jīng)濟(jì)學(xué)及其在電力市場理論中的應(yīng)用綜述[J];電網(wǎng)技術(shù);2005年07期

8 衣立東;朱敏奕;魏磊;姜寧;于廣亮;;風(fēng)電并網(wǎng)后西北電網(wǎng)調(diào)峰能力的計(jì)算方法[J];電網(wǎng)技術(shù);2010年02期

9 趙珊珊;張東霞;印永華;申洪;;風(fēng)電的電價(jià)政策及風(fēng)險(xiǎn)管理策略[J];電網(wǎng)技術(shù);2011年05期

10 呂學(xué)勤;劉剛;黃自元;;電力調(diào)峰方式及其存在的問題[J];電站系統(tǒng)工程;2007年05期

相關(guān)博士學(xué)位論文 前1條

1 謝毓廣;計(jì)及網(wǎng)絡(luò)安全約束和風(fēng)力發(fā)電的機(jī)組組合問題的研究[D];上海交通大學(xué);2011年

相關(guān)碩士學(xué)位論文 前5條

1 馬敏;風(fēng)電接入對電網(wǎng)暫態(tài)穩(wěn)定性及調(diào)峰能力的影響研究[D];華北電力大學(xué)（北京）;2011年

2 趙冰;以調(diào)峰能力為約束的遼寧電網(wǎng)風(fēng)電接納能力研究[D];東北電力大學(xué);2010年

3 陳明輝;發(fā)電機(jī)組參與輔助服務(wù)的機(jī)制研究[D];華南理工大學(xué);2010年

4 吳迪;核電機(jī)組參與輔助服務(wù)研究[D];華南理工大學(xué);2010年

5 劉紅哲;風(fēng)電增發(fā)擠出效應(yīng)及其效益評估方法[D];東北電力大學(xué);2012年

，

本文編號：2496550

suoshi

資料下載

論文發(fā)表

• 
  支付寶下載
  
  Download by Alipay
• 
  微信下載
  
  Download by Wechat
• 
  會員下載
  
  Download by Member

• 
  中文核心
  
  Chinese Core Journals
• 
  英文核心
  
  EI|SCI|SSCI
• 
  普通期刊
  
  General Journals

本文鏈接：http://www.sikaile.net/guanlilunwen/shengchanguanlilunwen/2496550.html

上一篇：創(chuàng)騰公司葡萄酒產(chǎn)品吉林區(qū)目標(biāo)市場營銷策略研究  
下一篇：節(jié)能減排背景下我國能源消費(fèi)結(jié)構(gòu)新變化