Electricity scheduling strategy for home energy management system with renewable energy and battery storage: a case study

Abstract

With the development of smart grid, energy consumption on residence will play an important role in the electricity market, while the Home Energy Management System (HEMS) has huge potential to help energy conservation. In this study, a practical HEMS model with renewable energy, storage devices and plug-in electric vehicles, considering the battery sustainability and the full utilisation of the renewable energy, is first established. Then, according to the combinations of the genetic algorithm (GA) and the multi-constrained integer programming method, an improved GA is proposed, which goal is to minimise the electricity purchase and maximise the renewable energy utilisation. Finally, it is demonstrated by an example that the proposed method is significant in cost saving and reducing energy wastes. To verify the performances of the proposed algorithm, the numerical results indicate that the proposed algorithm has high computational efficiency and good robustness. In addition, it can avoid the disadvantages easy to trap at a local optimal point, and are insensitive to initial solutions. The effect of the storage device on system property and the sensitivity of cost savings versus demand response, size of the battery, and the electricity price sell to the grid are also analysed.

Optimal Scheduling of Residential Home Appliances by Considering Energy Storage and Stochastically Modelled Photovoltaics in a Grid Exchange Environment Using Hybrid Grey Wolf Genetic Algorithm Optimizer

“…Since a PSO is appropriate for solving real number optimization problems, it might get stuck in a local optimum value in discrete optimization problems. HEMS is a discrete problem; therefore, a PSO algorithm is not suitable for this type of problem [27].…”

“…Different utility companies are providing unique tariff schemes such as RTP, CPP, ToU, etc., for their consumers related to their energy import or export in a grid exchange environment. In this work, it was assumed that the tariff for per-hour H2G energy export was half of the rate of the energy import from grid to home (G2H), as mentioned in Yang et al [27]. This difference was justified by the utility provider by stating that a consumer utilizes the infrastructure of the utility to sell its surplus energy.…”

“…The peak price in both schemes was observed between 10:00 to 11:00, as shown in Figure 6. Furthermore, it was assumed that the tariff for the H2G energy export was half of the pricing charged in the energy import from the G2H [27]. Three different scenarios considering PV generation, the ESS (battery), and grid supply were analyzed in this study.…”

Stochastic energy investment in off‐grid renewable energy hub for autonomous building

“…Nowadays, the renewable energies like wind power, solar energy, and hydro power are significantly used in electric power systems [1], distribution networks, micro-grids [2], and buildings [3,4]. These energies result in significant advantages for electrical networks and buildings such as pollutions and cost reduction [5] and off-grid operation [6].…”

An Innovative Bidirectional DC-AC Converter to Improve Power Quality in a Grid-Connected Microgrid

“…In particular, the ultimate challenge is to control power flows to meet various operational objectives (e.g., cost minimization, guaranteed delivery, or security) by adjusting the power flow from or to the main grid, the distribution of energy resources, and the loads' controllability. In individual housing, this kind of strategy, also called home electricity management system (HEMS), can typically be implemented, for example, to promote the integration of renewable energies, and protect the electricity distribution system of a possible power outage [10]. Figure 1 shows an example of HEMS that has been recently discussed in the literature [11].…”