Abstract
As a key component of an integrated energy system (IES), energy storage can effectively alleviate the problem of the times between energy production and consumption. Exploiting the benefits of energy storage can improve the competitiveness of multi-energy systems. This paper proposes a method for day-ahead operation optimization of a building-level integrated energy system (BIES) considering additional potential benefits of energy storage. Based on the characteristics of peak-shaving and valley-filling of energy storage, and further consideration of the changes in the system’s load and real-time electricity price, a model of additional potential benefits of energy storage is developed. Aiming at the lowest total operating cost, a bi-level optimal operational model for day-ahead operation of BIES is developed. A case analysis of different dispatch strategies verifies that the addition of the proposed battery scheduling strategy improves economic operation. The results demonstrate that the model can exploit energy storage’s potential, further optimize the power output of BIES and reduce the economic cost.
Highlights
1 Introduction According to reports issued by the International Energy Agency and the U.S Energy Information Administration, energy consumption of global buildings accounts for approximately 32% of total consumption
2.1 Typical structure A building-level integrated energy system (BIES) has the distinct characteristics of residential users, and can provide various forms of energy according to users to achieve the optimal use of energy resources by combining existing energy, resources, technical conditions etc
6 Conclusion In this paper, the form and model of additional potential income from energy storage are analyzed in the context of a BIES
Summary
According to reports issued by the International Energy Agency and the U.S Energy Information Administration, energy consumption of global buildings accounts for approximately 32% of total consumption. The flexibility of user heating demand is considered in [17] and a flexible demand response model of electric-heat load is established This effectively reduces the peak-to-valley difference of the load and the total operating cost of a BIES. Energy storage equipment plays an important role in cutting peaks and filling valleys, smoothing fluctuations in renewable energy, and alleviating the imbalance between energy production and consumption It can improve the economic efficiency and flexibility of a BIES. Using a variety of energy storage modes including thermal inertia and the flexibility of cooling and heating loads, a coordinated scheduling model is established in [24] for multi-energy complementary systems to determine the optimal control strategy. A practical testing cases are analyzed to further optimize the scheduling strategy of energy storage based on total operating cost reduction and peak load shifting to exploit its potential
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