Increasing PV-STATCOM Penetration Using Optimal Management of Energy Storage and Considering Demand Response Program
Subject Areas : Electrical and Computer Engineering
Farzin Fardinfar
1
,
Mostafa Jafari Kermani Poure
2
1 - Department of Computer Engineering, Bahounar University, Kerman, Iran
2 - Department of Electrical Engineering, National University of skills, Tehran, Iran
Keywords: Hosting capacity, Demand response program, Aqiula optimizer algorithm, Latin hypercube sampling technique, PV-Static synchronous compensation,
Abstract :
In recent years, due to the increasing penetration of photovoltaic (PV) systems in distribution networks, there are several technical challenges. One of the destructive consequences of extra PV system installation is voltage raising in some hours of the day, which reduces Hosting Capacity (HC) of the grid. The innovation of this paper is the integrated implementation of the demand response program, utilization of energy storages and smart inverters as static synchronous compensation (PV-STATCOM), which they are used for improving Hosting Capacity. In this regard, proper energy storage management, reactive power control by PV-STATCOM in order to optimize the objective function include maximizing the Host Capacity, minimization of losses, voltage deviation and operation cost. Also, the real computations are performed by using probabilistic functions to model the load uncertainty in distribution network. The uncertainty quantification model in this paper is Latin Hypercube Sampling (LHS) method, which has better speed calculation and sampling compare to Monte Carlo method. To solve the optimization problem of objective function, the optimization algorithm of Aqiula Optimizer (AO) is used and the results are compared with Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The proposed method is based on IEEE 15-bus test system and shows its effectiveness on increasing Hosting Capacity up to 39 % while respecting to the limits of voltage variation and improvement of losses and costs.
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