JP2017516247A - 電力消費の最適化のためのスマートシステムの動作方法及び装置 - Google Patents
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Abstract
Description
上述のIoT環境におけるスマートシステムの電力消費を最適化する必要がある。
以下、1つ以上の実施例による具現のためのアルゴリズムを説明する。
一方、前記
また、前記電力消費情報として気候情報をさらに含むことができる。ここで、気候情報は、外気温度、風速、日照量などの気象庁などが提供する気象情報を含むことができる。
図13は、一実施例による電力消費の最適化のためのスマートシステムの動作装置50を説明するための一実施例のブロック図で、インタフェース部200、データベース210、料金制決定部220、消費パターン決定部230、制御情報決定部240及び制御部250を含む。
20 電力会社
30 気象庁
40 ネットワーク
50 スマートシステム
60 消費者機器
201 電力使用データ
202 年間料金領収書
203 月間料金領収書
205 料金制テーブル
206 エネルギー使用量データ
207 天気データベース
209 回帰モデル
212 最適化部
602 再生可能エネルギー
801 天気データ
802 気象庁予報
803 気候応答電力予測回帰モデル
804 リアルタイム料金予測回帰モデル
805 気象庁予報
807 料金制データベース
811 最適化モデル
Claims (15)
- スマートシステムのサーバの動作方法において、
電子装置の料金情報及び前記電子装置の電力使用情報のうち少なくとも1つに基づいて前記電子装置に対する電力料金制を決定する過程と、
前記決定された電力料金制に関する情報を前記電子装置に送信する過程と、を含む方法。 - 前記電力料金制を決定する過程は、
前記料金情報及び前記電力使用情報のうち少なくとも1つに基づいて、Tier料金制、TOU(Time Of Use)料金制、CPP(Critical Peak Pricing)料金制、RTP(Real−Time Pricing)料金制、プロモーション料金制、ペナルティ料金制のうち少なくとも1つを決定する過程を含み、
前記料金情報は、前記電子装置の期間別料金領収書、及び料金振替情報のうち少なくとも1つを含み、
前記電力使用情報は、前記電子装置の期間別電力消費データを含む請求項1に記載の方法。 - 前記電力料金制を決定する過程は、
気候情報を収集する過程と、
前記料金情報及び前記電力使用情報のうち少なくとも1つと前記気候情報を用いて、前記電子装置に対する電力料金制を決定する過程と、を含む請求項1に記載の方法。 - 前記電力料金制を決定する過程は、
前記料金情報による過去の電力使用情報、前記電力使用情報、地域別電力料金制情報、及び気候情報のうち少なくとも1つに基づいて前記電子装置の電力消費費用を最小化する電力料金制を決定する過程を含む請求項1に記載の方法。 - 前記電力料金制を決定する過程は、
過去の料金、現在の料金、時間帯別気候情報、及び時間帯別エネルギー情報のうち少なくとも1つに基づいて、未来の電力使用による料金を予測する過程を含み、
前記予測された料金に基づいて前記電子装置の前記電力料金制を決定する過程を含む請求項4に記載の方法。 - 前記気候情報は、温度情報、湿度情報、及び日照量情報のうち少なくとも1つを含み、
前記温度情報、前記湿度情報及び前記日照量情報の各々に加重値が適用され、
前記温度情報、前記湿度情報及び前記日照量情報の各々に適用される前記加重値は、外気温度が正常範囲内であるか否か及び気象予報が正常範囲内であるか否かのうち少なくとも1つに基づいて決定される請求項5に記載の方法。 - 前記電力料金制を決定する過程は、
エネルギー貯蔵装置(Energy Storage System)情報及び再生可能エネルギー情報のうち少なくとも1つを収集する過程と、
前記料金情報及び前記電力使用情報のうち少なくとも1つと前記エネルギー貯蔵装置情報及び前記再生可能エネルギー情報のうち少なくとも1つを用いて、前記電子装置に対する前記電力料金制を決定する過程と、を含む請求項1に記載の方法。 - 前記料金情報及び前記電力使用情報のうち少なくとも1つと前記エネルギー貯蔵装置情報及び前記再生可能エネルギー情報のうち少なくとも1つを用いて、前記電子装置に対する電力料金制を決定する過程は、
外気温度、風速、日照量のうち少なくとも1つに基づいて再生可能エネルギーを決定する過程と、
前記決定された再生可能エネルギー、電力率、一日間の予測消費電力、前記エネルギー貯蔵装置の寿命周期、前記エネルギー貯蔵装置の充電率のうち少なくとも1つに基づいて前記電力料金制を決定する過程と、を含む請求項7に記載の方法。 - 前記決定された電力料金制に基づいて前記電子装置の電力消費の最小化のための電力消費パターンを決定する過程と、
前記電力消費パターンに対応する装置制御情報を決定する過程と、
前記決定された電力消費パターン及び前記装置制御情報のうち少なくとも1つを前記ユーザ装置及び前記電子装置のうち少なくとも1つに送信する過程と、をさらに含む請求項1に記載の方法。 - 前記電力消費パターンは、電力料金制変数、契約電力変数、消費パターン変数のうち少なくとも1つに基づいて決定され、
前記電力消費パターンは、電力料金制最適化値、リアルタイム契約電力最適化値、及びリアルタイム消費パターン最適化値のうち少なくとも1つを含む請求項9に記載の方法。 - 電力消費の最適化のためのスマートシステムのサーバ装置において、
電子装置の電力使用による料金情報及び前記電子装置の電力使用情報のうち少なくとも1つに基づいて前記電子装置に対応する電力料金制を決定するプロセッサと、
前記電力料金制に関する情報をユーザ装置に送信する送受信部と、を含む装置。 - 前記プロセッサは、
前記料金情報及び前記電力使用情報のうち少なくとも1つに基づいて、Tier料金制、TOU(Time Of Use)料金制、CPP(Critical Peak Pricing)料金制、RTP(Real−Time Pricing)料金制、プロモーション料金制、ペナルティ料金制のうち少なくとも1つを前記電力料金制に決定し、
前記料金情報は、前記電子装置の期間別料金領収書、及び料金振替情報のうち少なくとも1つを含み、
前記電力使用情報は、前記電子装置の期間別電力消費データを含む請求項11に記載の装置。 - 前記プロセッサは、
気候情報を収集し、
前記料金情報及び前記電力使用情報のうち少なくとも1つと前記気候情報を用いて、前記電子装置に対する前記電力料金制を決定する請求項11に記載の装置。 - 前記サーバ装置は、請求項4乃至10のいずれか一項に記載の方法を具現するように設定された請求項11に記載の装置。
- スマートシステムを最適化する方法において、
予め決定された時間周期に対する電子装置の料金情報及び前記電子装置の電力使用情報を収集する過程と、
前記収集された料金情報及び前記収集された電力使用情報に基づいて、未来の時間周期に対する前記電子装置の電力消費量を予測する過程と、
前記予測された電力消費量に基づいて、前記未来の時間周期に対する前記電子装置の前記電力消費量を最小化して最適の料金制を決定する過程と、を含む方法。
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EP3134860A4 (en) | 2017-10-18 |
CN106233321A (zh) | 2016-12-14 |
JP6671344B2 (ja) | 2020-03-25 |
EP3134860A1 (en) | 2017-03-01 |
KR20150123540A (ko) | 2015-11-04 |
WO2015163732A1 (en) | 2015-10-29 |
US20150310461A1 (en) | 2015-10-29 |
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