本文選題：微電網(wǎng) + 配電市場�。� 參考：《電網(wǎng)技術》2017年08期

【摘要】：隨著售電側市場改革的不斷深入,研究多個微電網(wǎng)運營商參與下的配電側市場交易和競價機制具有重要意義。針對該問題,提出了一種雙層優(yōu)化方法:底層優(yōu)化以配電市場運營商購電成本最小為目標,考慮系統(tǒng)的節(jié)點電壓約束和支路潮流約束等,采用跟蹤中心軌跡內(nèi)點法求解系統(tǒng)的經(jīng)濟調(diào)度模型,實現(xiàn)市場的出清;上層優(yōu)化以最大化微電網(wǎng)運營商收益為目標,采用遺傳算法確定微電網(wǎng)運營商在聯(lián)盟和不聯(lián)盟兩種環(huán)境下的最優(yōu)競價策略。在雙層優(yōu)化方法的基礎上,基于完全信息下的動態(tài)博弈方法,確定市場的納什均衡點。最終在IEEE 33節(jié)點配電系統(tǒng)算例中對所提出的方法進行了仿真驗證,并進一步分析了微電網(wǎng)運營商提供無功輔助服務下各市場主體的利益分配問題。
[Abstract]:With the deepening of the market reform, it is of great significance to study the distribution side market transaction and bidding mechanism with the participation of several microgrid operators. In order to solve this problem, a two-layer optimization method is proposed: the bottom layer optimization aims at minimizing the cost of electricity purchase by the operators in the distribution market, and considers the node voltage constraints and branch power flow constraints of the system, etc. The economic dispatching model of the system is solved by using the tracking center trajectory interior point method to realize the clearing of the market, and the upper level optimization is aimed at maximizing the profit of the microgrid operator. Genetic algorithm is used to determine the optimal bidding strategy for microgrid operators in both alliance and non-alliance environments. Based on the two-level optimization method and the dynamic game method with complete information, the Nash equilibrium point of the market is determined. Finally, the proposed method is simulated and verified in the IEEE 33-bus distribution system, and the benefit distribution problem of the market agents under the reactive power auxiliary service provided by the microgrid operators is further analyzed.
【作者單位】： 智能電網(wǎng)教育部重點實驗室(天津大學);
【基金】：國家重點研發(fā)計劃項目(2016YFB0900400,2016YFB0900401)~~
【分類號】：F426.61

【參考文獻】

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本文編號：2050743