面向低碳經(jīng)濟的主動配電網(wǎng)綜合資源規(guī)劃與決策理論
發(fā)布時間：2018-09-14 17:07
【摘要】：電力系統(tǒng)的低碳化轉(zhuǎn)型是應對全球氣候變化、推動低碳經(jīng)濟、實現(xiàn)能源可持續(xù)發(fā)展的核心戰(zhàn)略。作為智能電網(wǎng)發(fā)展到高級階段的產(chǎn)物,主動配電網(wǎng)(Active Distribution Network, ADN)有機整合了信息通信、電力電子及智能控制等技術,為促進分布式可再生能源大規(guī)模并網(wǎng)與高效利用提供了一種有效解決方案。本文以綠色能源主動消納作為切入點,通過分析ADN的技術內(nèi)涵、關鍵要素與實現(xiàn)原理,基于“一點,二面,三主線”三位一體的總體思路,深入系統(tǒng)地研究了面向低碳經(jīng)濟的ADN規(guī)劃理論與決策方法,為加快我國配用電系統(tǒng)低碳化發(fā)展提供可靠的理論依據(jù)。本文主要工作歸納如下：首先,從ADN資源構成入手,分析總結了微型燃氣輪機、風力發(fā)電、太陽能光伏以及儲能等分布式能源的技術特性及其通用穩(wěn)態(tài)模型；重點探討了價格型和激勵型兩種觸發(fā)機制下需求響應資源的可控性及其對可再生能源利用的作用影響；基于不同資源之間的互補性,并綜合考慮技術成熟度、投資成本及系統(tǒng)可靠性要求,對低碳背景下ADN的資源集成模式及其適用意義進行了探討；針對需求響應機制的不確定性,提出了一種適應大數(shù)據(jù)環(huán)境的改進模糊C均值智能分類辨識算法,為ADN下對負荷響應潛力的精確分析提供了有效方法�；谒⒌馁Y源集成模式,以傳統(tǒng)配電網(wǎng)及微電網(wǎng)為參照,提出了面向可再生能源高效利用的ADN規(guī)劃的總體思路和實施流程；從數(shù)學角度對投資決策與低碳效益之間耦合關系進行了深刻剖析,全方位地揭示了ADN下影響可再生能源規(guī)�；玫臅r空阻滯因素及其作用機理；針對上述多方面因素的不確定性,提出了復雜預想場景集的概念及基于Taguchi正交測試的冗余信息約減策略；在此基礎上,考慮主動網(wǎng)絡管理機制的作用潛力,構建了促進可再生能源高效利用的ADN雙層場景規(guī)劃模型,并對不同規(guī)劃模式下的系統(tǒng)經(jīng)濟成本與低碳效益進行了比較分析。針對傳統(tǒng)配電網(wǎng)向ADN的低碳化過渡問題,提出了兼容需求響應的ADN綜合資源規(guī)劃模式及其方法。立足于價格型需求響應機制,通過分析智能電表滲透率與負荷節(jié)點響應能力之間的關系,并考慮負荷復原與漸退效應的影響,建立了客觀描述實時電價信號下節(jié)點負荷響應特性的新型復合模型；針對低碳因素存在域多時間尺度問題,創(chuàng)新性地提出了基于“積分投影”的二階段建模思路；在此基礎上,結合考慮可再生能源發(fā)電和需求響應兩方面的不確定性,進一步詳細構建了面向低碳化過渡的ADN二階段機會約束模型。采用智能混合算法實現(xiàn)求解,深入地揭示了需求響應對于緩解可再生發(fā)電負荷反調(diào)節(jié)特性所導致低碳阻滯問題的重要作用。然后,以非合作博弈理論為基礎,研究了電力市場環(huán)境下的ADN規(guī)劃問題�？紤]放松管制和節(jié)能服務兩種市場背景,分別分析了市場格局和參與主體變化對ADN投資運營模式的影響,并探討了市場環(huán)境下協(xié)調(diào)規(guī)劃決策的必要性及其基本框架。從可再生能源利用與不同主體利益之間的內(nèi)在聯(lián)系出發(fā),提出了市場環(huán)境下以低碳為目標的ADN雙層協(xié)調(diào)規(guī)劃模型；針對傳統(tǒng)計算方法存在的不足,設計了人工蜂群算法與列文伯格-馬夸爾特法相結合的智能尋優(yōu)策略,用以高效求解上述問題；以河北省某實際配電系統(tǒng)為例,驗證了所提方法的有效性,并揭示了市場環(huán)境下電價及碳稅機制對ADN低碳化發(fā)展的重要影響。最后,本文研究了低碳經(jīng)濟背景下的ADN投資決策方法。從ADN的低碳特征能力入手,利用系統(tǒng)動力學原理深刻揭示了ADN低碳效益的形成機制；在此基礎上,綜合考慮經(jīng)濟、技術以及環(huán)境等多維屬性,從全壽命周期角度構建了低碳經(jīng)濟下ADN規(guī)劃綜合評價指標體系；針對市場環(huán)境下的多元投資格局以及不同目標之間的主從邏輯差異,提出了低碳ADN分級決策模型及基于協(xié)調(diào)局勢的求解算法；針對我國某ADN示范工程進行應用,為科學制定投資方案提出了必要建議。
[Abstract]:The low-carbon transformation of power system is the core strategy to cope with the global climate change, promote the low-carbon economy and realize the sustainable development of energy. As the product of the development of smart grid, Active Distribution Network (ADN) integrates information communication, power electronics and intelligent control technologies to promote distribution. Based on the analysis of the technical connotation, key elements and implementation principle of ADN, and the overall idea of trinity of "one point, two sides, three main lines", this paper deeply and systematically studies A facing low-carbon economy. DN planning theory and decision-making methods provide reliable theoretical basis for accelerating the development of low-carbon distribution system in China. The main work of this paper is summarized as follows: First, starting from the composition of ADN resources, the technical characteristics and general steady-state model of distributed energy such as micro-gas turbine, wind power generation, solar photovoltaic and energy storage are analyzed and summarized. It focuses on the controllability of demand response resources and their impact on renewable energy utilization under price-based and incentive-based triggering mechanisms. Based on the complementarity of different resources and considering the technical maturity, investment cost and system reliability requirements, the resource integration model and its application of ADN under low-carbon background are discussed. Aiming at the uncertainty of demand response mechanism, an improved fuzzy C-means intelligent classification and identification algorithm for large data environment is proposed, which provides an effective method for accurate analysis of load response potential under ADN. The overall idea and implementation process of ADN planning for high-efficiency utilization of renewable energy are presented; the coupling relationship between investment decision-making and low-carbon benefits is analyzed mathematically, and the time-space blocking factors and their mechanism of large-scale utilization of renewable energy under ADN are revealed in an all-round way. The concept of complex scenario set and redundant information reduction strategy based on Taguchi orthogonal test are proposed. On this basis, considering the potential of active network management mechanism, an ADN bilevel scenario planning model for promoting the efficient utilization of renewable energy is constructed, and the system economic cost under different planning modes is also discussed. Low-carbon benefits are compared and analyzed. Aiming at the problem of low-carbon transition from traditional distribution network to ADN, an ADN integrated resource planning model and its method compatible with demand response are proposed. Under the influence of the effect, a new composite model is established to describe the load response characteristics of nodes under the real-time electricity price signal objectively; aiming at the multi-time scale problem of low-carbon factors, a two-stage modeling method based on "integral projection" is innovatively proposed; on this basis, both renewable energy generation and demand response are considered. With respect to uncertainty, a two-stage chance-constrained model of ADN for low-carbon transition is constructed in detail. An intelligent hybrid algorithm is used to solve the problem, which reveals the important role of demand response in alleviating the low-carbon retardation caused by the anti-regulation characteristics of renewable generation load. Considering deration of deregulation and energy-saving service, this paper analyzes the influence of market pattern and participant change on ADN investment and operation mode, and discusses the necessity and basic framework of coordinated planning and decision-making under market environment. In view of the shortcomings of traditional calculation methods, an intelligent optimization strategy combining artificial bee colony algorithm with Levenberg-Marquart method is designed to solve the above problems efficiently. A practical distribution system in Hebei Province is taken as an example. Finally, this paper studies the ADN investment decision-making method under the background of low-carbon economy. Starting from the low-carbon characteristic capability of ADN, the low-carbon benefit of ADN is profoundly revealed by the principle of system dynamics. On this basis, considering the multi-dimensional attributes of economy, technology and environment, the comprehensive evaluation index system of ADN planning in low-carbon economy is constructed from the perspective of life cycle. In view of the multi-investment pattern in the market environment and the logical differences between different objectives, a low-carbon ADN hierarchical decision-making model and its basis are proposed. The algorithm for solving the coordinated situation is presented, and some necessary suggestions are put forward for the scientific formulation of the investment scheme for the application of an ADN demonstration project in China.
【學位授予單位】：華北電力大學(北京)
【學位級別】：博士
【學位授予年份】：2014
【分類號】：TM73
，
本文編號：2243331
[Abstract]:The low-carbon transformation of power system is the core strategy to cope with the global climate change, promote the low-carbon economy and realize the sustainable development of energy. As the product of the development of smart grid, Active Distribution Network (ADN) integrates information communication, power electronics and intelligent control technologies to promote distribution. Based on the analysis of the technical connotation, key elements and implementation principle of ADN, and the overall idea of trinity of "one point, two sides, three main lines", this paper deeply and systematically studies A facing low-carbon economy. DN planning theory and decision-making methods provide reliable theoretical basis for accelerating the development of low-carbon distribution system in China. The main work of this paper is summarized as follows: First, starting from the composition of ADN resources, the technical characteristics and general steady-state model of distributed energy such as micro-gas turbine, wind power generation, solar photovoltaic and energy storage are analyzed and summarized. It focuses on the controllability of demand response resources and their impact on renewable energy utilization under price-based and incentive-based triggering mechanisms. Based on the complementarity of different resources and considering the technical maturity, investment cost and system reliability requirements, the resource integration model and its application of ADN under low-carbon background are discussed. Aiming at the uncertainty of demand response mechanism, an improved fuzzy C-means intelligent classification and identification algorithm for large data environment is proposed, which provides an effective method for accurate analysis of load response potential under ADN. The overall idea and implementation process of ADN planning for high-efficiency utilization of renewable energy are presented; the coupling relationship between investment decision-making and low-carbon benefits is analyzed mathematically, and the time-space blocking factors and their mechanism of large-scale utilization of renewable energy under ADN are revealed in an all-round way. The concept of complex scenario set and redundant information reduction strategy based on Taguchi orthogonal test are proposed. On this basis, considering the potential of active network management mechanism, an ADN bilevel scenario planning model for promoting the efficient utilization of renewable energy is constructed, and the system economic cost under different planning modes is also discussed. Low-carbon benefits are compared and analyzed. Aiming at the problem of low-carbon transition from traditional distribution network to ADN, an ADN integrated resource planning model and its method compatible with demand response are proposed. Under the influence of the effect, a new composite model is established to describe the load response characteristics of nodes under the real-time electricity price signal objectively; aiming at the multi-time scale problem of low-carbon factors, a two-stage modeling method based on "integral projection" is innovatively proposed; on this basis, both renewable energy generation and demand response are considered. With respect to uncertainty, a two-stage chance-constrained model of ADN for low-carbon transition is constructed in detail. An intelligent hybrid algorithm is used to solve the problem, which reveals the important role of demand response in alleviating the low-carbon retardation caused by the anti-regulation characteristics of renewable generation load. Considering deration of deregulation and energy-saving service, this paper analyzes the influence of market pattern and participant change on ADN investment and operation mode, and discusses the necessity and basic framework of coordinated planning and decision-making under market environment. In view of the shortcomings of traditional calculation methods, an intelligent optimization strategy combining artificial bee colony algorithm with Levenberg-Marquart method is designed to solve the above problems efficiently. A practical distribution system in Hebei Province is taken as an example. Finally, this paper studies the ADN investment decision-making method under the background of low-carbon economy. Starting from the low-carbon characteristic capability of ADN, the low-carbon benefit of ADN is profoundly revealed by the principle of system dynamics. On this basis, considering the multi-dimensional attributes of economy, technology and environment, the comprehensive evaluation index system of ADN planning in low-carbon economy is constructed from the perspective of life cycle. In view of the multi-investment pattern in the market environment and the logical differences between different objectives, a low-carbon ADN hierarchical decision-making model and its basis are proposed. The algorithm for solving the coordinated situation is presented, and some necessary suggestions are put forward for the scientific formulation of the investment scheme for the application of an ADN demonstration project in China.
【學位授予單位】：華北電力大學(北京)
【學位級別】：博士
【學位授予年份】：2014
【分類號】：TM73
，
本文編號：2243331
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