| 摘要: | 近年來因各國工商業的快速發展，並且隨著科技的進步及人口數量增加之下，開始大量生產能源，並且加速基礎能源的消耗，這也造成石化能源面臨枯竭的危機以及生產能源所排放溫室氣體的問題。若氣溫上升1.5°C則將造成珊瑚白化、海平面上升、乾旱和暴風雨等極端氣候發生，也將造成許多家庭流離失所的現象日漸嚴重。在未來的十年內，每年必須減少7.6％的二氧化碳排放量，才有機會減緩全球暖化的速度、緩和氣候劇烈的變化並且抑制持續升溫的現象，因此我們必須正視全球暖化的問題，並落實節能減碳的承諾及責任。這也使傳統化石燃料發電逐漸被乾淨的再生能源取代，將會減輕傳統化石燃料發電方式所產生的溫室效應及汙染問題，各國也開始訂立潔淨能源明確的發展目標，並且積極不斷的鼓勵推動再生能源之政策及措施，使得再生能源的重要性也越來越受大家重視。
本研究目的在於三段式時間電價的基礎下，以台灣特高壓電力工業用戶為研究對象，並以最低用電總成本為目標，並運用數學規劃求解的方式，建立數學模型來規劃太陽能發電結合儲能系統的最佳化配置問題。加上政府所頒布的用電大戶條款，必須設置10％比例的再生能源發電設備之政策，這代表產業要開始走向再生能源發電為目標。再生能源電力如果能併入時間電價用戶電力系統可以輔助或減緩台灣電力公司所供應的電量，因此若將太陽能電力使用在工業能源用戶，那麼所使用的能源管理方式將需要進一步地探討，並藉由有效的利用太陽能發電和儲能設備，再透過適當的規劃電力調配，協調出蓄電池的最佳儲能、釋能策略，並且將依據工業用戶的用電需求量，來求得最佳的太陽能板設置面積及儲能系統裝置容量，以及針對儲能系統不同的單位設置成本作敏感度分析。結果表明太陽能發電、時間電價與儲能系統搭配使用時，可以大大減少尖峰時段用電，總用電成本也大幅下降37%，不但能減少台電供電的負擔，更能讓削峰填谷的效益更加明顯，分散尖峰用電來改變用電的習慣。
;In recent years, due to the rapid development of industry and commerce in various countries, as well as the progress of science and technology and the increase of population. The start of mass production of energy and the acceleration of the consumption of basic energy sources has also led to the depletion of fossil fuels and the emission of greenhouse gases from energy production. An increase of 1.5°C would lead to extreme climates such as coral bleaching, sea level rise, droughts and storms, and the increasing displacement of many families. Over the next decade, we must reduce carbon dioxide emissions by 7.6% per year in order to have the chance of slowing the pace of global warming, moderating dramatic changes in the climate and curbing continued warming. Therefore, we must face up to the problem of global warming and implement the commitment and responsibility of energy conservation and carbon reduction. This also makes the traditional fossil fuel power generation gradually replaced by clean renewable energy, which will reduce the greenhouse effect and pollution caused by the traditional fossil fuel power generation. Countries also began to set clear development goals for clean energy, and actively and continuously encouraged the promotion of renewable energy policies and measures, making the importance of renewable energy more and more attention.
The purpose of this study is to take the users of Taiwan high voltage power industry as the research object on the basis of three-stage time of use, and take the lowest total electricity cost as the target. A mathematical model is established to plan the optimal configuration of solar power generation combined with energy storage system by means of mathematical programming. In addition to the large power consumption provisions issued by the government, the policy of 10% of renewable energy generation equipment must be set, which means that the industry will start to move towards renewable energy generation as the target. If renewable energy power can be incorporated into the time of use power system, it can assist or slow down the power supply provided by Taiwan Electric Power Company. Therefore, if solar power is used for industrial energy users, the energy management mode will need to be further discussed. The optimal energy storage and release strategy of the battery should also be coordinated through the effective utilization of solar energy generation and energy storage equipment and proper planning of power supply capacity. In addition, the optimal solar panel setting area and energy storage system device capacity will be obtained according to the demand of industrial users, and distributed electric energy and energy storage equipment will be brought into the optimal operation mode through real-time regulation. In addition, sensitivity analysis is conducted for different unit setup costs of the energy storage system. The results show that when solar power generation, time price and energy storage system are used together, the power consumption during peak hours can be greatly reduced, and the total power consumption cost can also be significantly reduced by 37%. It can not only reduce the burden of power supply, but also make the benefit of peak load cutting more obvious, and disperse the peak power consumption to change the habit of electricity consumption. |
