Abstract

The safety and stability of a distribution network will be affected by high photovoltaic (PV) penetration. Therefore, it is of great significance to evaluate the PV accommodation capacity of a distribution network and to select an appropriate PV accommodation scheme. This paper assesses the PV accommodation capacity of a distribution network with an improved algorithm and optimizes the accommodation scheme with a comprehensive index. First, the PSO (particle swarm optimization)–Monte Carlo algorithm is used to evaluate the maximum accommodation capacity of a distribution network with PV integration. Second, a year-round voltage timing simulation is performed to analyze the node voltage that exceeds the limit under the planned PV capacity, which is higher than the previously evaluated maximum accommodation capacity. Finally, the staged control strategy of the PV inverter and energy storage is carried out to select the scheme for the sizing and siting of energy storage. The simulation tests use a 10 kV standard distribution network as an example for PV evaluation and PV accommodation scheme selection to verify the feasibility and effectiveness of the proposed model.

Highlights

  • In recent years, renewable energy has been strongly promoted due to its advantages, such as cleanliness, large reserves and renewability [1,2]

  • It is of great significance to correctly assess the PV accommodation capacity and to select reasonable accommodation schemes for a PV-rich-distribution network

  • The evaluation of the accommodation capacity of a distribution network can be performed with the dynamic simulation method and mathematical optimization method

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Summary

Introduction

Renewable energy has been strongly promoted due to its advantages, such as cleanliness, large reserves and renewability [1,2]. Koutroumpezis evaluated the maximum accommodation capacity of the distribution network through the optimization algorithm under the constraints of node voltage and line current, but the simulation scene was still a single scenario [15]. Improving the PV accommodation capacity of a distribution network can be considered based on the power factor adjustment of PV inverters [19,20], energy storage technology [21,22], reactive power compensation [23,24], and grid reconstruction [25,26]. This article considers the impact of energy storage and abandoned PV power on the distribution network, and proposes the average improvement index of node voltage fluctuation and a maximum PV accommodation capacity index. Scheme selection is based on energy storage capacity, abandoned PV power and their influencing factors instead of considering energy storage capacity and abandoned PV power

Three-Stage Analysis Process of PV Accommodation
Typical Moment
PSO–Monte Carlo algorithm
The Process of PV Accommodation Scheme Formulation
Staged Control Strategy of the PV Inverter and Energy Storage
The Siting of the Energy Storage
Cluster Strategy
Node Voltage Out-Of-Limit Degree
The Sizing of the Energy Storage
Cooperative Game Model
The Constraint of the Model
PV Accommodation Scheme Selection
Maximum Accommodation Capacity Index
Theand
Scheme Evaluation
Select the final scheme
Parameters of Examples
Standard IEEE
The Result of a Year-Round Voltage Timing Simulation
The Siting of Energy Storage
33. Figure
The Sizing of Energy Storage
Multi-Index Evaluation
Conclusions
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