Battery energy storage scheduling for optimal load variance minimization
Battery energy storage scheduling for optimal load variance minimization
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DOI：
10.1109/isgt.2018.8403324
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发表时间：
2018-02
期刊：
影响因子：
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通讯作者：
Yichen Zhang;A. Melin;M. Olama;S. Djouadi;Jin Dong;K. Tomsovic
中科院分区：
文献类型：
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作者：
Yichen Zhang;A. Melin;M. Olama;S. Djouadi;Jin Dong;K. Tomsovic
由于分布式能源（DER）在配电网中的部署和微电网的概念，发电组合可能会发生重大变化。一般来说，通过适当协调DER，分销网络可以以更有弹性和更经济的方式运作。然而，由于一些分布式电源的部分不可控和随机特性，使得配电系统净负荷的变化增大，从而提高了配电公司的运行成本，使其运营复杂化。这促使在配电系统中使用储能单元进行调峰和填谷。本文研究了最优负荷方差最小化的理论公式，其中净负荷的无穷范数是最小的。然后，将问题等效地重新表述为线性规划。以有限容量蓄电池储能模型和简化的径向配电网潮流模型为例进行了研究。研究了容量限制和部署位置的影响。
Generation portfolio can be significantly altered due to the deployment of distributed energy resources (DER) in distribution networks and the concept of microgrid. Generally, distribution networks can operate in a more resilient and economic fashion through proper coordination of DER. However, due to the partially uncontrollable and stochastic nature of some DER, the variance of net load of distribution systems increases, which raises the operational cost and complicates operation for transmission companies. This motivates peak shaving and valley filling using energy storage units deployed in distribution systems. This paper aims at theoretical formulation of optimal load variance minimization, where the infinity norm of net load is minimized. Then, the problem is reformulated equivalently as a linear program. A case study is performed with capacity-limited battery energy storage model and the simplified power flow model of a radial distribution network. The influence of capacity limit and deployment location are studied.