Summary
The growing deployment of Distributed Energy Resources (DERs), including rooftop photovoltaics (PV), small wind turbines, and electric vehicles (EV), at the household scale creates two major problems for Distribution System Operators (DSOs), such as voltage limit violations, peak demand surges, and increased vulnerability during grid outages. This study proposes an advanced multi-objective Home Energy Management System (HEMS) that transforms uncertain residential prosumers into dispatchable, grid-supporting assets.
Read more Read lessA detailed grid-interactive residential energy model is implemented and tested using continuous 6.5-day high-resolution co-simulation on the CIGRE European LV Distribution Network
Benchmark. Using real-world weather and load profiles from El Gouna, Egypt, the simulated household integrates a 3 kW rooftop PV system, a 1.0 kW micro wind turbine, a 10 kWh lithium-ion battery, and a 40 kWh EV enabling Vehicle-to-Home (V2H) operation.
The system is governed by a Model Predictive Control (MPC) scheme that dynamically balances Time-of-Use (TOU) tariff arbitrage, peak shaving, outage resilience, and voltage regulation derived from Linearized DistFlow sensitivity coefficients. Simulation results with several coordinated households demonstrate a highly profitable "winwin" paradigm for both prosumers and utility operators. By relaxing overly restrictive storage boundaries, the MPC fully exploited tariff arbitrage, reducing total prosumer electricity costs by ~26% (from 1324.6 EGP (26.5 USD) in the uncoordinated baseline down to 970.2 EGP
(19.4 USD) under the peak shaving scenario). From a grid perspective, the coordination framework significantly improved load stability, effectively reducing the Peak-to-Average
Ratio (PAR) from 3.44 in the baseline to 3.16.
Furthermore, the system mathematically guaranteed strict EN-50160 compliance with 0% voltage violations, maintaining a highly stable mean bus voltage of 0.997 p.u. During grid outages, the resilience module effectively managed critical loads, achieving absolute energy security with 0.00 kWh of Energy Not Served (ENS). These findings prove that intelligent, grid-aware residential control offers a practical, market-ready flexibility service that enhances grid stability without financially penalizing the prosumer.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | C6_10170_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Egypt |
| Study committees | |
| File size | 902 KB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
SAMY Mohamed - Department of Electrical Engineering, Beni-Suef University Egypt; ELMORSHEDY Ahdab - Dept. of Electrical Engineering, College of Engineering, University of Cairo Egypt; BARAKAT Shimaa - Department of Electrical Engineering, Beni-Suef University Egypt
