Look-Ahead Energy Management of a Grid-Connected Residential PV System with Energy Storage under Time-Based Rate Programs

Yoo, Jin Soung; Park, Byungsung; An, Kyungsung; Al‐Ammar, Essam A.; Khan, Yasin; Hur, Kyeong; Kim, Jong Hyun

doi:10.3390/en5041116

Cited by 40 publications

(19 citation statements)

References 19 publications

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“…Therefore, a dc/dc converter with voltage regulation is used to connect with PV power systems in parallel to keep the output voltage in the desired constant dc voltage range, as shown in Figure 1. In Figure 1, the dc bus voltage can supply a dc/ac inverter for a grid-connected power system [1][2][3][4][5], a dc/dc converter for dc load [6][7][8][9][10], and so on. The dc/ac inverter and dc/dc converter are regarded as dc loads.…”

Section: Introductionmentioning

confidence: 99%

A Photovoltaic Power System Using a High Step-up Converter for DC Load Applications

Tseng

Wang

2013

Energies

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This paper presents a power system using a high step-up converter for dc load applications. The high step-up converter adopts a boost converter with interleaved mode and a coupled inductor to raise its powering ability and increase its step-up voltage ratio, respectively. In order to increase conversion efficiency, an active clamp circuit is introduced into the proposed one to provide soft-switching features to reduce switching losses. Moreover, switches in the converter and active clamp circuit are integrated with a synchronous switching technique to reduce circuit complexity and component counts, resulting in a lower cost and smaller volume. A perturb and observe method is adopted to extract the maximum power from photovoltaic (PV) arrays. Furthermore, a microchip associated with PWM IC is used to implement maximum power point tracking operation, voltage regulation and power management. Finally, a prototype PV power system with 400 V/6 A has been implemented for verifying the feasibility of the proposed PV power system. It is shown to be suitable for PV energy conversion applications when the duty ratios of switches in the dc/dc converter are less than 0.5.

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Section: Introductionmentioning

confidence: 99%

A Photovoltaic Power System Using a High Step-up Converter for DC Load Applications

Tseng

Wang

2013

Energies

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“…Here, the objective function of our optimization problem is the minimization of the electricity bill as given by Equation (18). It illustrates that the electricity bill depends on two factors: amount of scheduled load and electricity price in a particular time slot.…”

Section: Feasible Regionmentioning

confidence: 99%

“…However, the authors did not consider the UC and ESS integration. The authors in [18], discuss the scheduling of home appliances for designed objective of electricity cost minimization or optimization of electricity consumption pattern. MILP is used to schedule the household appliances and the RES.…”

Section: Related Workmentioning

confidence: 99%

An Optimized Home Energy Management System with Integrated Renewable Energy and Storage Resources

et al. 2017

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Traditional power grid and its demand-side management (DSM) techniques are centralized and mainly focus on industrial consumers. The ignorance of residential and commercial sectors in DSM activities degrades the overall performance of a conventional grid. Therefore, the concept of DSM and demand response (DR) via residential sector makes the smart grid (SG) superior over the traditional grid. In this context, this paper proposes an optimized home energy management system (OHEMS) that not only facilitates the integration of renewable energy source (RES) and energy storage system (ESS) but also incorporates the residential sector into DSM activities. The proposed OHEMS minimizes the electricity bill by scheduling the household appliances and ESS in response to the dynamic pricing of electricity market. First, the constrained optimization problem is mathematically formulated by using multiple knapsack problems, and then solved by using the heuristic algorithms; genetic algorithm (GA), binary particle swarm optimization (BPSO), wind driven optimization (WDO), bacterial foraging optimization (BFO) and hybrid GA-PSO (HGPO) algorithms. The performance of the proposed scheme and heuristic algorithms is evaluated via MATLAB simulations. Results illustrate that the integration of RES and ESS reduces the electricity bill and peak-to-average ratio (PAR) by 19.94% and 21.55% respectively. Moreover, the HGPO algorithm based home energy management system outperforms the other heuristic algorithms, and further reduces the bill by 25.12% and PAR by 24.88%.

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“…There have been several studies related to smart grid. Yoo et al [8] presented look-ahead energy management system for a grid-connected residential photovoltaic system with battery under critical peak pricing for electricity, enabling effective and proactive participation of consumers in the smart grid's demand response. In their proposed system, the photovoltaic system is the primary energy source with the battery for storing (or retrieving) excessive (or stored) energy to pursue the lowest possible electricity bill.…”

Section: Related Workmentioning

confidence: 99%

“…Constraints Equation (8) corresponds to the constraint of energy demand and supply conservation as described in Equation (4). Equations (9)-(13) jointly represent the constraints on the energy demand required by air conditioning activity in such a way to guarantee that must be true for at least one .…”

Section: Variablesmentioning

confidence: 99%

Decisions on Energy Demand Response Option Contracts in Smart Grids Based on Activity-Based Costing and Stochastic Programming

Park

Hildreth

2013

Energies

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Smart grids enable a two-way energy demand response capability through which a utility company offers its industrial customers various call options for energy load curtailment. If a customer has the capability to accurately determine whether to accept an offer or not, then in the case of accepting an offer, the customer can earn both an option premium to participate, and a strike price for load curtailments if requested. However, today most manufacturing companies lack the capability to make the correct contract decisions for given offers. This paper proposes a novel decision model based on activity-based costing (ABC) and stochastic programming, developed to accurately evaluate the impact of load curtailments and determine as to whether or not to accept an energy load curtailment offer. The proposed model specifically targets state-transition flexible and Quality-of-Service (QoS) flexible energy use activities to reduce the peak energy demand rate. An illustrative example with the proposed decision model under a call-option based energy demand response scenario is presented. As shown from the example results, the proposed decision model can be used with emerging smart grid opportunities to provide a competitive advantage to the manufacturing industry.

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Look-Ahead Energy Management of a Grid-Connected Residential PV System with Energy Storage under Time-Based Rate Programs

Cited by 40 publications

References 19 publications

A Photovoltaic Power System Using a High Step-up Converter for DC Load Applications

A Photovoltaic Power System Using a High Step-up Converter for DC Load Applications

An Optimized Home Energy Management System with Integrated Renewable Energy and Storage Resources

Decisions on Energy Demand Response Option Contracts in Smart Grids Based on Activity-Based Costing and Stochastic Programming

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