本文選題：微電網(wǎng) + 經(jīng)濟運行�。� 參考：《浙江大學(xué)》2014年碩士論文

【摘要】：微電網(wǎng)是一組由分布式電源、儲能設(shè)備、用電設(shè)備以及控制裝置構(gòu)成的新型網(wǎng)絡(luò)結(jié)構(gòu)。微電網(wǎng)作為解決電力系統(tǒng)眾多問題的重要手段,需要盡可能地發(fā)揮出其帶來的巨大的經(jīng)濟效益。因此,微電網(wǎng)經(jīng)濟運行是吸引用戶并使其能夠在電力系統(tǒng)中得以推廣的關(guān)鍵。然而,隨著微電網(wǎng)中設(shè)備種類增加、規(guī)模不斷擴大,微電網(wǎng)經(jīng)濟運行的優(yōu)化問題變得越來越復(fù)雜。現(xiàn)有的優(yōu)化調(diào)度策略已經(jīng)不能滿足微電網(wǎng)新的發(fā)展趨勢。本文從優(yōu)化微電網(wǎng)經(jīng)濟運行入手,提出了基于拉格朗日松弛新的分布式優(yōu)化算法,降低了微電網(wǎng)運行的成本,提高了算法運行效率。本文主要完成的工作如下： 1)本文解決了微電網(wǎng)需求側(cè)負(fù)荷調(diào)度問題�，F(xiàn)有文獻需求側(cè)負(fù)荷調(diào)度算法不能處理大規(guī)模負(fù)荷調(diào)度的問題。因此,本文在拉格朗日松弛分解的基礎(chǔ)上,改進了有界二次規(guī)劃和Benders分解,提出了一種適用于大規(guī)模計算的新的分布式算法,解決了用電設(shè)備和儲能設(shè)備的聯(lián)合調(diào)度優(yōu)化問題。通過仿真驗證了該算法不僅能夠有效降低需求側(cè)運行成本,而且計算時間明顯好于已有的集中式算法。 2)本文解決了微電網(wǎng)中熱能機組和用電設(shè)備的聯(lián)合調(diào)度優(yōu)化問題。考慮的場景是只包含熱能機組和用電設(shè)備的微電網(wǎng)運行優(yōu)化。研究目的是當(dāng)大電網(wǎng)出現(xiàn)故障時,處于孤網(wǎng)狀態(tài)下的微電網(wǎng)也能低成本可靠地運行。本文采用拉格朗日松弛分解對聯(lián)合優(yōu)化問題進行解耦。針對解耦后的單機問題采用了動態(tài)規(guī)劃進行求解。通過仿真證明了算法能夠有效地降低微電網(wǎng)運行成本和轉(zhuǎn)移峰值負(fù)荷。 3)本文解決了考慮風(fēng)力發(fā)電,處于并網(wǎng)狀態(tài)微電網(wǎng)經(jīng)濟運行隨機調(diào)度問題。本文使用了機會約束描述風(fēng)力發(fā)電的隨機性,解決了使用期望值模型概率上的局限性。另外,本文提出了微電網(wǎng)經(jīng)濟運行優(yōu)化的分布式實現(xiàn)架構(gòu),并且給出了微電網(wǎng)并網(wǎng)狀態(tài)下經(jīng)濟運行的一般優(yōu)化策略,降低了微電網(wǎng)的運行成本。通過仿真證明了本文提出的算法能夠高效地解決微電網(wǎng)經(jīng)濟運行問題。
[Abstract]:Microgrid is a new network structure composed of distributed generation, energy storage equipment, electric equipment and control device. As an important means to solve many problems of power system, microgrid needs to bring into full play the enormous economic benefits brought by it. Therefore, the economic operation of microgrid is the key to attract users and make it popularize in power system. However, with the increase of equipment types and scale in microgrid, the optimization of microgrid economic operation becomes more and more complicated. The existing optimal dispatching strategy can not meet the new development trend of microgrid. In this paper, a new distributed optimization algorithm based on Lagrangian relaxation is proposed to optimize the economic operation of microgrid, which can reduce the cost of microgrid operation and improve the efficiency of the algorithm. The main work of this paper is as follows: 1) this paper solves the demand side load dispatching problem of micro grid. The existing literature on demand side load scheduling algorithm can not deal with the problem of large scale load scheduling. Therefore, on the basis of Lagrangian relaxation decomposition, the bounded quadratic programming and Benders decomposition are improved, and a new distributed algorithm for large-scale computation is proposed, which solves the joint scheduling optimization problem of power equipment and energy storage equipment. The simulation results show that the algorithm not only can effectively reduce the cost of demand-side operation, And the computational time is obviously better than the existing centralized algorithm. 2) this paper solves the problem of joint dispatch optimization of thermal energy unit and electric equipment in microgrid. The scenario considered is microgrid operation optimization with only thermal units and electrical equipment. The purpose of this study is that when the large power grid fails, the microgrid in the isolated network can also operate reliably at low cost. In this paper, Lagrangian relaxation decomposition is used to decouple the joint optimization problem. Dynamic programming is used to solve the decoupled single machine problem. The simulation results show that the algorithm can effectively reduce the operating cost and transfer peak load of microgrid. 3) this paper solves the stochastic scheduling problem of economic operation of microgrid considering wind power generation and grid-connected state. In this paper, the chance constraint is used to describe the randomness of wind power generation, and the probability limitation of using the expected value model is solved. In addition, this paper proposes a distributed implementation framework for the economic operation optimization of microgrid, and gives the general optimization strategy of economic operation under the condition of microgrid connection, which reduces the operation cost of microgrid. Simulation results show that the proposed algorithm can efficiently solve the problem of economic operation of microgrid.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM732

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