Optimal distributed generation planning in active distribution networks considering integration of energy storage

By Yang Li, Bo Feng, Guoqing Li, Junjian Qi, Dongbo Zhao, Yunfei Mu. 2018

347 citations recorded by the source corpus.

A two-stage optimization method is proposed for optimal distributed generation (DG) planning considering the integration of energy storage in this paper. The first stage determines the installation locations and the initial capacity of DGs using the well-known loss sensitivity factor (LSF) approach, and the second stage identifies the optimal installation capacities of DGs to maximize the investment benefits and system voltage stability and to minimize line losses. In the second stage, the multi-objective ant lion optimizer (MOALO) is first applied to obtain the Pareto-optimal solutions, and then the ‘best’ compromise solution is identified by calculating the priority memberships of each solution via grey relation projection (GRP) method, while finally, in order to address the uncertain outputs of DGs, energy storage devices are installed whose maximum outputs are determined with the use of chance-constrained programming. The test results on the PG&E 69-bus distribution system demonstrate that the proposed method is superior to other current state-of-the-art approaches, and that the integration of energy storage makes the DGs operate at their pre-designed rated capacities with the probability of at least 60%.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b99204b341f6988dcc428eaeabc0ac02a557fedf

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In Control and Systems Engineering

Dongbo Zhao

In Electrical and Electronic Engineering

Citations in the corpus

Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality (2018, background): “Some power issues such as voltage fluctuations or deviations, frequency deviations, overvoltage, and undervoltage are addressed in some studies [119,154,155, 190,186,188,158,161,166,162,163,191,192,170,114,193].”
Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties (2018, methodology): “By this means, it paves the way for integrating various distributed energy resources (DERs), especially wind turbine (WT), photovoltaic (PV) and microturbine (MT) generators.”
Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources (2019, neutral): “Distribution system [44]           MOALO IB, SVS and LL CES [45]           Typical LCOES and IRR RTS [46]           CPLEX CEP CES [47]           GA ELR, CER and VS IEEE test system [48]           MILP OTC”