Babak Jeddi - IEEE Xplore Author Profile

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Battery energy storage systems (BESSs) have the potential to reduce end users’ electricity bills by shifting their grid demand in response to price incentives. Some electricity retailers charge end users for their peak demand in the billing cycle regardless of the time of occurrence. Yet, using BESSs to reduce demand charges is challenging, since the net demand of end users can be highly uncertain...Show More
This paper proposes a computationally efficient home energy management scheduler (HEMS) to minimize the cost of electricity consumption (CoEC) within a home which consists of rooftop photovoltaics (PV), a battery energy storage systems, and controllable appliances. Differential dynamic programming (DDP) algorithm is used and the uncertainty of PV generation and household demand along with the batt...Show More
This paper proposes a multiobjective home energy management unit (MO-HEMU) to balance the electricity payment and thermal discomfort of a household by properly scheduling devices in a time-varying price environment. The thermal discomfort is measured by the deviation of indoor and hot water temperature from the user's ideal temperature. The home devices include solar Photovoltaics, a battery stora...Show More
Individual residential customers are installing home energy management units (HEMUs) to efficiently manage their energy consumption, solar photovoltaics (PVs) and battery energy storage systems (BESSs) to reduce electricity bill. This paper investigates network impacts of several HEMUs operating in a low voltage distribution feeder. A dynamic programming (DP)-based HEMU is proposed aiming at effic...Show More
Decreasing cost of solar PV systems have resulted in a rapid uptake of residential rooftop Photovoltaic (PV) systems across the globe. However, recent policy changes in Australia is incentivizing residential customers to install battery energy storage systems (BESSs) for effective utilization of their solar sources. This paper proposes an improved dynamic programming (DP) based home energy managem...Show More
Realistic optimal power flow is a non-convex and complicated optimization problem which tries to economically dispatch the load between different generation units and some other objective functions, while the operational limitations of each unit are satisfied. In this paper three non-commensurable and contradictory objectives namely total fuel cost, total emission, and total real power loss are co...Show More
Microgrid (MG) is a low-voltage or medium-voltage distribution network, comprising various Distributed Energy Resources (DERs) Such as distributed generations (DGs), energy storage (ES) devices, and controllable loads operated in either the grid connected or islanded mode. In this paper, the optimal operation of an MG considering different type of DGs such as wind turbines, photovoltaics, fuel cel...Show More