適用於住宅型社區且無隱私疑慮之即時動態電力需求管理系統

近年來，節能減碳的議題逐漸引起世人的關注，如何減少能源之消耗成為各國關注的焦點。因此能夠即時因應用電需求做更改、提供需求端管理的智慧電網將成為未來電力網路的趨勢。透過智慧電網與需求端管理，不但可有效減少家中用電支出還可同時降低電力負載的波動性。其中，在智慧電網架構下，一個能夠即時因應環境變化及使用者偏好提供最佳節能策略之系統將扮演非常重要的角色。於本論文中，將於智慧電網架構下，同時考慮再生能源、儲能設備與時間電價進行〝日常活動排程之最佳化〞以節省居家用電支出。另一方面於住宅型社區中，在不洩漏個別使用者生活隱私之條件下，所有家庭可共同合作進行電力需量管理，在可接受之個別家庭電費增加限度下最小化電力負載的波動性，使最高用電峰值下降低並可使社區與電力公司協議更為適合之契約容量，使個別家庭需繳交之總體電費仍有效地減少，同時提升電力公司對於電能管理之效率。本研究的主要貢獻有以下兩點：第一，為了因應使用者進行活動之不確定性，我們改良了傳統的粒子群最佳化演算法，使其運算時間大幅減低，當使用者臨時不依照決策結果進行活動或是環境資訊發生變化，能在最短的時間內告知使用者未來最適當之活動順序及電池使用方式。第二，在社區節能方面，我們認為保護住戶隱私應優先於社區節能之成效，因此設計一套分散式的系統架構，透過特別之資訊傳遞演算法，使得住戶個人之用電習慣及生活型態不會洩漏，同時整個系統又能掌握所需之資訊進行社區之多目標節能最佳化問題。

關鍵字

智慧電網；需求端管理；再生能源；儲能設備；電力負載波動；動態調整系統；分散式合作遊戲

並列摘要

In smart grids, demand-side management (DSM) plays an important role betweencustomers and utility company, since it can reduce the total electricity cost of each customer meanwhile alleviating the aggregate peak-to-average ratio (PAR) of utility of a customer community subject to real-time pricing (RTP) policy. Moreover, a good DSM system should also be able to react quickly when users do not take its advice or when the environment state changes. This works aims at making the DSM system dynamic, which means that the proposed DSM can reschedule the order of activities in nearly real-time whenever the original schedule is no longer feasible due to the aforementioned situations. In our problem formulation, each home is assumed to be connected a renewable energy resource, say, photovoltaic (PV) system, and is equipped with an energy storage device so that the scheduling can be made more flexible. Thus, besides the case where the original recommended schedule is not followed by the user, another case where the solar power distribution changes from what was predicted also initiates the rescheduling under the dynamic DSM. In addition, for a residential community composed of multiple homes, keeping the privacy of lifestyle for each home is also an issue which is as important as energy saving, and therefore a “cooperative architecture” is also formulated so as to transfer only the necessary information but hide all the details of power consumption of each home. The simulation results show that the proposed DSM system not only reduces the cost in individual home but also reschedule quickly whenever there is a need, while making a tradeoff between cost and PAR with privacy concern in a residential community.

並列關鍵字

Demand-side Management ； game theory ； constrained objective optimization ； user privacy ； dynamic algorithm ； smart grid

參考文獻

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適用於住宅型社區且無隱私疑慮之即時動態電力需求管理系統

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