最佳化南港軟體工業園區之負載管理

The Optimal Load Management of Nankang Software Park

楊富貿(Fu-Mao Yang)

指導教授 ： 李清吟

國立臺北科技大學/機電學院/電機工程系所/碩士(2006年)

摘要

因應能源日益短缺與國際公約京都議定書限制二氧化碳之排放，故在能源使用效率及節約能源上，負載管理之推廣與實行，扮演相當重要之角色。本文根據台電施行之電價優惠方案，以台電高壓大用戶之南港軟體工業園區二期為研究對象，在供電安全性與可靠度兼顧下，進行負載管理，讓園區營運能節省最多的總用電成本，同時讓台電系統創造最寬裕之供電能力。
本文利用南港軟體工業園區二期所擁有之儲冷式空調系統 (Thermal Energy Storage Air-Conditioning System, TES)、連續式電力供應系統(Continuous Power Supply System, CPS)與緊急發電機組，作為負載管理之工具，進行調配，藉TES具有轉移尖峰負載能力下，利用台電施行之儲冷式空調離峰用電優惠辦法，於空調設備在離峰用電流動電費享有75折優惠，及CPS與緊急發電機組具有尖峰時間供電能力，以基因演算法優異的多路徑全域隨機搜尋方式，且具有跳脫局部最佳解以求取整體最佳解之能力，依台電施行之時間電價，求解園區用電成本與CPS及緊急發電機組發電成本最小化，進而規劃出南港軟體工業園區二期最佳契約容量值；最後再評估參與現行台電公司所實施之可停電力電價方案(Interruptible Rates)之效益，以達到節省總用電成本之目的。
在園區具有TES與備用電源，且滿足住戶用電與空調使用之需求下。本研究利用基因演算法求解最佳契約容量值及參與可停電力(一)，結果顯示可將原全年總用電成本71,268,287元，經常(尖峰)契約容量值為8000kW，修訂經常(尖峰)契約容量值為7824kW，抑低契約容量為6000kW，則園區節省整年總用電成本最多約5.81%，總金額達4,144,040元。

關鍵字

負載管理 ； 儲冷式空調系統 ； 連續式電力供應系統 ； 緊急發電機組 ； 時間電價 ； 可停電力 ； 基因演算法 ； 最佳契約容量

並列摘要

The load management programs play an important role for the efficiency and effectiveness of the energy consumption after the Kyoto Protocol was taking effect. This paper studies the load management programs for Nankang Software Park Ⅱ which is the high voltage industrial consumer of Taiwan Power Company (TPC). The load management shall satisfy the safe and reliable conditions as well as the load demand that it can make the highest profit by reducing the total electricity charge. TPC also can maintain more electricity capability to provide other consumers at the same time.
Nankang Software Park II owns Thermal Energy Storage Air-Conditioning System (TES), Continuous Power Supply System (CPS) and Emergency Generator (EG). It’s able to shift load from peak to off-peak ability. Using TES strategy by TPC, it may take 25% off in off-peak the minimum total electricity charge. CPS and EG provide the energy in time of peak load interval. Genetic algorism, the way of excellent multi-route full field random search, has the ability to skip optimal local solution then find total optimal solution. This thesis aims on using genetic algorism to find optimal contact capacity for users in Nankang Software Park II according to time-of-use rates by TPC to solve electricity cost and CPS and EG minimum cost. More, it’s able to develop the best contact capacity. At last, the thesis is revaluated the profit of interruptible rate by TPC in order to save the cost of electricity.
The research based on No.1 interruptible rates with gene algorithm to estimate the optimal contact capacity, satisfying the electricity demand for casual usage and air-conditioning of Nankang Software Park II with TES or EG. It’s revealed that one-year electricity cost as 71,268,287 NTD with peak contact capacity as 8000kW modified into 7824kW as peak contact capacity and 6000kW as curtail contact capacity saving at most. It’s reduced 5.81%, NTD 4,144,040, of one-year electricity cost.

並列關鍵字

Load Management ； Thermal Energy Storage Air-Conditioning System ； Continuous Power Supply System ； Emergency Generator ； Time-Of-Use Rates ； Interruptible Rates ； Genetic Algorithm ； Optimal Contract Capacities

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