基于多Agent的含風(fēng)電場電力系統(tǒng)智能調(diào)度方法研究
本文選題:風(fēng)電 切入點:多Agent系統(tǒng) 出處:《燕山大學(xué)》2014年碩士論文
【摘要】:隨著生態(tài)環(huán)境的惡化和化石能源的消耗,可再生能源發(fā)電受到了越來越多的關(guān)注。風(fēng)力發(fā)電成本低、裝機(jī)容量靈活,在可再生能源發(fā)電中占有日趨重要的地位。但是風(fēng)力發(fā)電的輸出功率具有間歇性和隨機(jī)性的特點,隨著并網(wǎng)運(yùn)行的風(fēng)電場規(guī)模的不斷擴(kuò)大,傳統(tǒng)的電力系統(tǒng)調(diào)度方法已經(jīng)無法滿足新形勢下電力系統(tǒng)運(yùn)行的要求,因此,研究含風(fēng)電場并網(wǎng)后的電力系統(tǒng)調(diào)度方法具有十分重要的理論和現(xiàn)實意義。 結(jié)合多Agent系統(tǒng)和電網(wǎng)調(diào)度的特點,研究了一種基于多Agent的含風(fēng)電場電力系統(tǒng)智能調(diào)度系統(tǒng)構(gòu)架。根據(jù)電網(wǎng)運(yùn)行的實際情況,將多Agent調(diào)度系統(tǒng)分為管理層、調(diào)度層和消費(fèi)層,電網(wǎng)的調(diào)度管理中心為管理層,各個并網(wǎng)運(yùn)行的機(jī)組為調(diào)度層,電網(wǎng)的用戶為消費(fèi)層。多Agent系統(tǒng)中的協(xié)作均采用黑板模式,消費(fèi)層Agent之間通信采用消息傳送模式,其余的Agent之間通信采用黑板模式。 研究了多Agent系統(tǒng)調(diào)度模型中的全局Agent和決策Agent,并說明了其重要性,決策Agent為全局Agent提供決策支持。在此基礎(chǔ)上研究了含風(fēng)電場的電力系統(tǒng)調(diào)度模型,并應(yīng)用博弈論進(jìn)行求解,以常規(guī)發(fā)電機(jī)組和風(fēng)電機(jī)組作為博弈的參與者,以兩方的發(fā)電容量作為博弈的策略集,,建立了博弈調(diào)度方法的數(shù)學(xué)模型。通過求解模型的納什均衡,可以獲得發(fā)電成本最小的調(diào)度策略。 最后在考慮含風(fēng)電場的電力系統(tǒng)調(diào)度的不確定性的基礎(chǔ)上,以改進(jìn)的IEEE9節(jié)點算例進(jìn)行仿真分析。仿真結(jié)果表明,本文提出的基于博弈論的調(diào)度方法在保證電力系統(tǒng)安全運(yùn)行的前提下,可以合理充分地利用風(fēng)力發(fā)電,減少系統(tǒng)的發(fā)電成本。
[Abstract]:With the deterioration of ecological environment and the consumption of fossil energy, more and more attention has been paid to renewable energy generation.Wind power generation plays an increasingly important role in renewable energy generation due to its low cost and flexible installed capacity.However, the output power of wind power generation has the characteristics of intermittence and randomness. With the continuous expansion of the scale of the wind farm connected to the grid, the traditional power system dispatching method can no longer meet the requirements of the power system operation under the new situation.It is of great theoretical and practical significance to study the dispatching method of power system with wind farm connected to grid.According to the characteristics of multi-#en0# system and power grid dispatching, a multi-#en1# based intelligent dispatching system architecture for wind farm power system is studied.According to the actual situation of power grid operation, the multi-#en0# dispatching system is divided into management layer, dispatching layer and consumption layer, the power grid dispatching management center is the management layer, each connected unit is the dispatching layer, and the power grid user is the consumer layer.Blackboard mode is used for cooperation in multi-#en0# system, message transfer mode is used for communication between Agent in consuming layer, and blackboard mode is used for communication among other Agent.In this paper, the global Agent and decision agent in the scheduling model of multiple Agent systems are studied, and its importance is explained. Decision Agent provides decision support for global Agent.On this basis, the dispatching model of power system with wind farm is studied and solved by game theory. The conventional generator and wind turbine are used as participants in the game, and the generation capacity of both sides is taken as the strategy set of the game.The mathematical model of game scheduling method is established.By solving the Nash equilibrium of the model, the scheduling strategy with minimum generation cost can be obtained.Finally, on the basis of considering the uncertainty of power system dispatching with wind farm, an improved IEEE9 node is simulated and analyzed.The simulation results show that the proposed dispatching method based on game theory can make full use of wind power and reduce the power generation cost under the premise of ensuring the safe operation of power system.
【學(xué)位授予單位】:燕山大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM614;TM73
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