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智能電網(wǎng)經(jīng)濟(jì)運(yùn)行的分布式控制方法及其收斂速度優(yōu)化

發(fā)布時(shí)間:2018-09-09 18:47
【摘要】:分布式控制算法的實(shí)現(xiàn)只依賴于本地信息以及局部通信,在主動(dòng)配電網(wǎng)廣域保護(hù)與控制中具有良好的控制魯棒性以及靈活的系統(tǒng)可擴(kuò)展性;谝恢滦岳碚摰姆植际娇刂扑惴ㄖ,各受控對(duì)象只需使用局域網(wǎng)絡(luò),獲取自身以及鄰近受控單元的狀態(tài)信息來更新自身的狀態(tài),最終使各受控對(duì)象的狀態(tài)值一致收斂。智能電網(wǎng)是一個(gè)電力一次系統(tǒng)和二次系統(tǒng)高度融合的信息物理系統(tǒng)(CPS),電力CPS的快速發(fā)展給電力系統(tǒng)中負(fù)荷的經(jīng)濟(jì)分配問題提供了新的解決思路。文章首先對(duì)智能電網(wǎng)進(jìn)行電力CPS建模,并針對(duì)集中控制下的電力系統(tǒng)經(jīng)濟(jì)分配問題進(jìn)行分析求解。其次,文章對(duì)電力系統(tǒng)主網(wǎng)的經(jīng)濟(jì)分配問題的集中解進(jìn)行了兩種不同形式的化解,使之分別適用平均一致和漸進(jìn)一致兩種算法進(jìn)行分布式計(jì)算。同時(shí)考慮到分布式控制對(duì)算法收斂速度的要求,文中引入一種只利用智能體中記錄的歷史迭代值的多項(xiàng)式濾波技術(shù)分別對(duì)兩種分布式經(jīng)濟(jì)分配算法進(jìn)行收斂速度優(yōu)化。仿真結(jié)果驗(yàn)證了所提的分布式經(jīng)濟(jì)算法及其收斂速度優(yōu)化算法的有效性。最后,文章綜合考慮智能配電網(wǎng)(主動(dòng)配電網(wǎng))中的電源種類多樣、可再生電源波動(dòng)性大以及配電網(wǎng)調(diào)度的實(shí)際要求,提出一種適用于主動(dòng)配電網(wǎng)在恒聯(lián)絡(luò)線功率和最優(yōu)經(jīng)濟(jì)運(yùn)行兩種模式下的分布式實(shí)時(shí)調(diào)度策略。仿真結(jié)果表明,所提的控制策略能夠在主網(wǎng)峰谷電價(jià)、新能源出力波動(dòng)、負(fù)荷波動(dòng)等不同情況下分布式地實(shí)現(xiàn)對(duì)有功功率的實(shí)時(shí)經(jīng)濟(jì)最優(yōu)分配。
[Abstract]:The implementation of distributed control algorithm only depends on local information and local communication. It has good control robustness and flexible system scalability in wide area protection and control of active distribution network. In the distributed control algorithm based on consistency theory, each controlled object only needs to use local network to obtain the state information of itself and adjacent controlled units to update its own state, and finally make the state value of each controlled object converge uniformly. Smart grid is a highly integrated information physical system, (CPS), power CPS, which is highly integrated with primary and secondary systems. The rapid development of smart grid provides a new way to solve the problem of economic load distribution in power system. In this paper, the power CPS model of smart grid is first built, and the economic distribution problem of power system under centralized control is analyzed and solved. Secondly, in this paper, the centralized solution of the economic distribution problem in power system is solved in two different forms, which make it suitable for the distributed computation of the average consistent algorithm and the asymptotic consistent algorithm respectively. At the same time, considering the demand of distributed control for the convergence speed of the algorithm, a polynomial filtering technique based on the historical iterative values recorded in the agent is introduced to optimize the convergence speed of the two distributed economic allocation algorithms. Simulation results verify the effectiveness of the proposed distributed economic algorithm and its convergence rate optimization algorithm. Finally, considering the variety of power sources in smart distribution network (active distribution network), the volatility of renewable power supply and the actual requirements of distribution network dispatching. This paper presents a distributed real-time scheduling strategy for active distribution networks under the two modes of constant tie-line power and optimal economic operation. The simulation results show that the proposed control strategy can realize the real-time and economic optimal allocation of active power under different conditions such as peak and valley price of main network, fluctuation of new energy output, load fluctuation and so on.
【學(xué)位授予單位】:浙江大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TM76

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