本文選題：暖通空調(diào)系統(tǒng) + 節(jié)能��； 參考：《清華大學(xué)學(xué)報(bào)(自然科學(xué)版)》2014年12期

【摘要】：優(yōu)化采暖通風(fēng)與空調(diào)(HVAC)系統(tǒng)的控制策略有助于滿足人們對(duì)舒適度的要求,同時(shí)降低HVAC系統(tǒng)能耗。該文建立了HVAC冷站系統(tǒng)優(yōu)化問(wèn)題的數(shù)學(xué)模型以求得使系統(tǒng)能耗最低的控制量設(shè)定值。該優(yōu)化問(wèn)題具有非凸、強(qiáng)耦合、包含離散和連續(xù)決策變量等特性。該文提出了一種分散式優(yōu)化方法,將系統(tǒng)的每個(gè)設(shè)備作為一個(gè)子系統(tǒng)并基于與鄰居子系統(tǒng)通信所得信息確定自身的控制變量的取值。測(cè)試結(jié)果表明:通過(guò)從鄰居子系統(tǒng)獲得的有限信息,每個(gè)子系統(tǒng)都能獲得原優(yōu)化問(wèn)題的最優(yōu)控制變量設(shè)定值。該方法不需要系統(tǒng)的全局信息,對(duì)于HVAC冷站系統(tǒng)的優(yōu)化具有較大應(yīng)用價(jià)值。
[Abstract]:Optimizing the control strategy of heating ventilation and air conditioning (HVAC) system is helpful to meet the requirement of comfort and reduce the energy consumption of HVAC system. In this paper, the mathematical model of HVAC cooling station system optimization problem is established to obtain the minimum energy consumption of the system. The optimization problem is nonconvex, strongly coupled and contains discrete and continuous decision variables. In this paper, a decentralized optimization method is proposed, in which each device of the system is regarded as a subsystem and the value of its own control variables is determined based on the information obtained by communicating with the neighbor subsystem. The test results show that each subsystem can obtain the optimal control variable set value of the original optimization problem by obtaining the finite information from the neighbor subsystem. This method does not need the global information of the system and has great application value for the optimization of HVAC cold station system.
【作者單位】： 清華大學(xué)自動(dòng)化系;
【基金】：國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目(U1301254)
【分類號(hào)】：TU83

【共引文獻(xiàn)】

相關(guān)期刊論文 前10條

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本文編號(hào)：2057805