計(jì)及風(fēng)電不確定性的隨機(jī)安全約束機(jī)組組合
發(fā)布時(shí)間:2019-07-29 09:19
【摘要】:隨著風(fēng)電接入電網(wǎng)的比例不斷提高,風(fēng)電的不確定性對電力系統(tǒng)的運(yùn)行調(diào)度提出了嚴(yán)峻挑戰(zhàn)。將滿足一定置信水平的風(fēng)電區(qū)間預(yù)測信息納入到日前調(diào)度計(jì)劃中有助于提高系統(tǒng)的安全性和經(jīng)濟(jì)性。為此提出了基于風(fēng)電區(qū)間預(yù)測信息的隨機(jī)安全約束機(jī)組組合模型(stochastic security-constrained unit commitment,SSCUC)。該模型將風(fēng)電的不確定性用1個(gè)確定的預(yù)測風(fēng)電場景和2個(gè)極限風(fēng)電場景來表示,簡化了問題的復(fù)雜度。同時(shí),該模型引入了潮流約束和網(wǎng)絡(luò)安全約束,保證了調(diào)度結(jié)果的可行性。為求解該模型,提出了基于廣義Benders分解的計(jì)算方法。該方法將SSCUC問題分解為一個(gè)主問題和2T(T為調(diào)度周期)個(gè)約束潮流子問題,并通過交替迭代的方式獲得原問題的最優(yōu)解。4機(jī)9節(jié)點(diǎn)系統(tǒng)和改進(jìn)118節(jié)點(diǎn)系統(tǒng)的計(jì)算結(jié)果驗(yàn)證了所提模型和算法的有效性。
[Abstract]:With the increasing proportion of wind power connected to the power grid, the uncertainty of wind power poses a severe challenge to the operation and dispatching of power system. The integration of wind power interval prediction information satisfying a certain confidence level into the pre-day dispatching plan is helpful to improve the security and economy of the system. In this paper, a stochastic safety constrained unit commitment model (stochastic security-constrained unit commitment,SSCUC) based on wind power interval prediction information is proposed. In this model, the uncertainty of wind power is represented by a definite predicted wind power scenario and two extreme wind power scenarios, which simplifies the complexity of the problem. At the same time, the model introduces power flow constraints and network security constraints to ensure the feasibility of scheduling results. In order to solve the model, a calculation method based on generalized Benders decomposition is proposed. In this method, the SSCUC problem is decomposed into a main problem and 2T (T is scheduling period) constrained tide carrier problem, and the optimal solution of the original problem is obtained by alternating iteration. The proposed model and algorithm are verified by the calculation results of the 4-machine 9-node system and the improved 118bus system.
【作者單位】: 廣西大學(xué)電氣工程學(xué)院;國網(wǎng)浙江省電力公司杭州供電公司;
【基金】:國家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃項(xiàng)目(9 7 3項(xiàng)目)(2013CB228205) 國家自然科學(xué)基金項(xiàng)目(51667003)~~
【分類號】:TM73
[Abstract]:With the increasing proportion of wind power connected to the power grid, the uncertainty of wind power poses a severe challenge to the operation and dispatching of power system. The integration of wind power interval prediction information satisfying a certain confidence level into the pre-day dispatching plan is helpful to improve the security and economy of the system. In this paper, a stochastic safety constrained unit commitment model (stochastic security-constrained unit commitment,SSCUC) based on wind power interval prediction information is proposed. In this model, the uncertainty of wind power is represented by a definite predicted wind power scenario and two extreme wind power scenarios, which simplifies the complexity of the problem. At the same time, the model introduces power flow constraints and network security constraints to ensure the feasibility of scheduling results. In order to solve the model, a calculation method based on generalized Benders decomposition is proposed. In this method, the SSCUC problem is decomposed into a main problem and 2T (T is scheduling period) constrained tide carrier problem, and the optimal solution of the original problem is obtained by alternating iteration. The proposed model and algorithm are verified by the calculation results of the 4-machine 9-node system and the improved 118bus system.
【作者單位】: 廣西大學(xué)電氣工程學(xué)院;國網(wǎng)浙江省電力公司杭州供電公司;
【基金】:國家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃項(xiàng)目(9 7 3項(xiàng)目)(2013CB228205) 國家自然科學(xué)基金項(xiàng)目(51667003)~~
【分類號】:TM73
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 王穎;周剛;韓紅衛(wèi);李婷;丁恰;張凱鋒;;計(jì)及風(fēng)電最優(yōu)置信度的機(jī)組組合優(yōu)化方法[J];電網(wǎng)技術(shù);2017年03期
2 王勇超;陳皓勇;yづ嗾,
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