【摘要】：以運(yùn)行成本、環(huán)境成本和可再生能源波動最小為目標(biāo),建立了以灰熵關(guān)聯(lián)度為最優(yōu)解評價標(biāo)準(zhǔn)的微電網(wǎng)調(diào)度模型。針對風(fēng)光發(fā)電的不確定性,構(gòu)造以預(yù)測值為中心的不確定性集,引入魯棒優(yōu)化理論改進(jìn)調(diào)度模型。針對儲能系統(tǒng)在調(diào)度過程中可能過早到達(dá)其限值的問題,提出了一種通過儲能運(yùn)行狀態(tài)來估計風(fēng)光發(fā)電不確定性預(yù)算的策略。采用改進(jìn)微分進(jìn)化算法對算例進(jìn)行求解,該算法結(jié)合云模型增強(qiáng)其局部搜索能力,依據(jù)混沌算法提升其全局搜索能力。仿真結(jié)果驗證了模型和算法的可行性,從Pareto前沿的變化與最優(yōu)解集的特征值兩方面分析了魯棒調(diào)度模型的優(yōu)越性;討論了在不同場景下不確定性預(yù)算值對微電網(wǎng)調(diào)度的影響,并驗證了不確定性預(yù)算調(diào)節(jié)策略能更有效地防止儲能系統(tǒng)到達(dá)儲能上下限,從而進(jìn)一步提高微電網(wǎng)調(diào)度的魯棒性。
[Abstract]:Aiming at the minimum fluctuation of operation cost, environmental cost and renewable energy, a micro-grid dispatching model with grey entropy correlation degree as the optimal solution evaluation criterion is established. Aiming at the uncertainty of wind power generation, the uncertainty set centered on prediction value is constructed, and the robust optimization theory is introduced to improve the scheduling model. In order to solve the problem that the energy storage system may reach its limit too early in the dispatching process, a strategy for estimating the uncertain budget of wind-to-wind power generation by the storage state is proposed. An improved differential evolution algorithm is used to solve the numerical examples. The algorithm combines cloud model to enhance its local search ability and improves its global search ability according to chaos algorithm. The simulation results verify the feasibility of the model and the algorithm. The superiority of the robust scheduling model is analyzed from two aspects: the variation of the Pareto frontier and the eigenvalue of the optimal solution set. The effects of uncertain budget values on microgrid scheduling in different scenarios are discussed, and it is verified that the uncertain budget regulation strategy can more effectively prevent the energy storage system from reaching the upper and lower limits of energy storage, thus further improving the robustness of micro-grid scheduling.
【作者單位】： 廣西大學(xué)電氣工程學(xué)院;
【基金】：國家自然科學(xué)基金資助項目(61364027) 廣西自然科學(xué)基金資助項目(2014GXNSFAA118384)~~
【分類號】：TM73

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