Volt-VAR Multiobjective Optimization to Peak-Load Relief and Energy Efficiency in Distribution Networks

Abstract

This paper addresses the integrated volt-var control for distribution network operation via multiobjective optimization. This paper seeks to explore the problem of energy savings and peak demand relief through the voltage reduction procedure. Currently, due to the emergence of the distribution smart grids, these procedures are gaining renewed interest and attention. The proposal presented here is for the operation phase, with a strategy based on an hourly load forecast for the next day/week, taking into account the active power intake reduction, and the voltage deviation. Therefore, the result is a set of nondominated optimal solutions, and then one may decide when, where, and how to apply them to meet different goals. The obtained solutions, for two typical distribution networks, describe relevant economic and technical benefits. Index Terms-Distribution systems, integrated volt-var control, multiobjective optimization, voltage reduction. NOMENCLATURETotal energy savings.Voltage drop at the substation bus.Active load power at bus number .Active load power at the rated voltage and frequency at bus .Reactive load power at bus number .Reactive load power at the rated voltage and frequency at bus . andVoltage exponents of active and reactive load power.Voltage magnitude at bus number .Nominal voltage of the system. Voltage drop between buses and .Line resistance between buses and .Line impedance between buses and .

Optimal coordination of PV smart inverter and traditional volt‐VAR control devices for energy cost savings and voltage regulation

“…Generally, utility takes the responsibility for delivering power to every consumer by appropriate voltage level. In a medium/low voltage distribution network, most of the loads exhibit the voltage‐dependent behavior . These loads are highly dependent on the voltage magnitude.…”

“…Recently, several papers have been published on volt‐VAR optimization (VVO) . Kumar et al adopted particle swarm optimization (PSO) to determine optimal setting of VVC devices considering wind energy for energy savings.…”

“…Kumar et al adopted particle swarm optimization (PSO) to determine optimal setting of VVC devices considering wind energy for energy savings. Padilha‐Feltrin et al employed a non‐dominated sorting genetic algorithm ‐ II for simultaneous optimization of energy savings and peak load relief in the distribution system. Daratha et al employed optimal coordination of on‐load tap changers (OLTCs) and static VAR compensators for minimization of the total line losses and number of switching in OLTCs and SVCs.…”

A Kriging Model Based Optimization of Active Distribution Networks Considering Loss Reduction and Voltage Profile Improvement

“…(9) where P min DG,n and Q min DG,n are the minimum active and reactive power output of DG n, respectively; P max DG,n and Q max DG,n are the maximum active and reactive power output of DG n, respectively; and P DG,n (t) and Q DG,n (t) are the actual active and reactive output of DG n, respectively. The power generated by DGs is supposed to be assigned to three phases equally.…”

Assessment of Conservation Voltage Reduction effects in networks with distributed generators

“…The smart grids will facilitate the IVVC and thus, the functions of each device can be better seized through coordinated actions. This allows the optimal operation at the whole system level and not only at the local level [8]. Hence, the IVVC enables the centralized network operation.…”