Optimal allocation method of energy storage in PV station based on probabilistic power flow
Energy Storage Science and Technology, cilt.10, sa.6, ss.2244-2251, 2021 (Hakemli Dergi)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 10 Sayı: 6
- Basım Tarihi: 2021
- Doi Numarası: 10.19799/j.cnki.2095-4239.2021.0151
- Dergi Adı: Energy Storage Science and Technology
- Sayfa Sayıları: ss.2244-2251
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Kocaeli Üniversitesi Adresli: Evet
Özet
Large-scale photovoltaic (PV) stations will adversely affect the stability of the power
system, while energy storage is considered to be one of the effective means to eliminate
these effects. In this paper, the influence of PV plants on the power system and the function of
the energy storage system (ESS) are analyzed from the perspective of power flow. First, the
probability distribution model of power system components, storage model, Latin hypercube
sampling (LHS) method, and Gram-Schmidt orthogonal sequence method are introduced in
this paper. Second, this paper establishes the multiple objective optimization models that
consider the energy storage system costs, the probability of a branch remaining active beyond
the limit, and network loss. The genetic algorithm is used to find the best solution to the
objective function (GA). Finally, the simulation is run on the IEEE 24 bus test system, including
the effects of different PV capacities and access positions, as well as the effect of ESS. In this
simulation, the optimal energy storage configuration for various PV capacities is obtained.
Key words: PV power generation; energy storage system; optimal configuration; probabilistic
power flow; genetic algorithm