【摘要】：為提高電網(wǎng)的抗災(zāi)能力需對(duì)電網(wǎng)進(jìn)行差異化規(guī)劃。用全壽命周期內(nèi)的新增成本和減損效益對(duì)規(guī)劃的經(jīng)濟(jì)性和可靠性進(jìn)行量化,建立了多目標(biāo)差異化規(guī)劃優(yōu)化模型。根據(jù)Pareto支配關(guān)系制定尋優(yōu)準(zhǔn)則,以效益成本比最大為目標(biāo)從Pareto解集中選擇最優(yōu)的差異化規(guī)劃方案。將和聲搜索算法應(yīng)用于模型的求解,引入混沌映射、動(dòng)態(tài)參數(shù)設(shè)置、改進(jìn)的音高調(diào)整策略以及和聲尋優(yōu)信息共享機(jī)制使其能夠解決0-1規(guī)劃問(wèn)題,并提高其搜索性能。對(duì)IEEE 30節(jié)點(diǎn)算例的分析表明,該模型正確合理,能得到最優(yōu)規(guī)劃方案。與常規(guī)的遺傳算法和粒子群優(yōu)化算法進(jìn)行對(duì)比,改進(jìn)和聲搜索算法收斂速度快,具有較好的適應(yīng)性和魯棒性。
[Abstract]:In order to improve the disaster-resistant ability of the power grid, it is necessary to carry on the differentiation planning to the power grid. The optimization model of multi-objective differential programming is established by quantifying the economy and reliability of the program by using the added cost and reduced benefit in the whole life cycle. According to the Pareto dominance relationship, the optimization criterion is established, and the optimal differential programming scheme is selected from the Pareto solution set with the maximum ratio of benefit to cost as the goal. The harmonic search algorithm is applied to the solution of the model, and chaotic mapping, dynamic parameter setting, improved pitch adjustment strategy and information sharing mechanism of harmonic optimization are introduced to solve the 0-1 programming problem and improve its search performance. The analysis of IEEE 30-node example shows that the model is correct and reasonable, and the optimal programming scheme can be obtained. Compared with the conventional genetic algorithm and particle swarm optimization algorithm, the improved harmonic search algorithm has fast convergence speed, good adaptability and robustness.
【作者單位】： 武漢大學(xué)電氣工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(51207114) 國(guó)家電網(wǎng)公司大電網(wǎng)重大專項(xiàng)資助項(xiàng)目課題(SGCC-MPLG029-2012)~~
【分類號(hào)】：TM715

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