Optimal energy management of the smart parking lot under demand response program in the presence of the electrolyser and fuel cell as hydrogen storage system

Jannati, Jamil; Nazarpour, Daryoush

doi:10.1016/j.enconman.2017.02.030

Cited by 74 publications

(24 citation statements)

References 40 publications

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“…This study also implements, evaluates and compares novel strategies for minimizing of the compressor switching frequency to mitigate wear and tear of compressor components caused by frequent on/off operation. The time-of-use tariff is implemented in order to encourage change in electricity usage by end users from the normal use pattern in response to change in electricity pricing based on time [54,55,56]. DR programs are implemented to cause intentional modifications of electricity consumption patterns by end-use customers, to alter the timing, demand level and total electricity consumption [57,58,59,60].…”

Section: Introductionmentioning

confidence: 99%

Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station

et al. 2018

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Compressed natural gas propulsion of vehicles has been shown to have advantages over petrol and diesel propulsion due to lower carbon dioxide emissions as well as the increased durability of vehicle engines. The growth of compressed natural gas as an alternative fuel to petrol and diesel can be accelerated by implementing strategies that result in the economical operation of the distribution infrastructure. Economic scheduling of power consumption is a useful strategy for reducing the cost of energy for both industrial and domestic consumers who operate in time-of-use based electricity pricing environments. In this paper, an optimal energy management strategy is proposed for the operation of a compressed natural gas fuelling station. The compressor energy consumption, being the main component of the total operating cost of the fuelling station, presents a cost saving opportunity through which optimal scheduling of operation can be used to lower cost of operation of the station. The developed model shows potential average savings of 59.3% in daily electricity costs while maximizing compressor life through minimization of compressor cycling.

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Section: Introductionmentioning

confidence: 99%

Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station

et al. 2018

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“…As well as, smart parking lots have grown because of the expansion in the quantity of EVs. So, in Reference 23, energy scheduling is presented for parking that is some resources. A smart energy residential plan for the smart home is presented in Reference 11, in which a CHP unit as a cogeneration technology and a hybrid electric vehicle are used.…”

Section: Introductionmentioning

confidence: 99%

Optimal planning of multi‐energy microgrid with different energy storages and demand responsive loads utilizing a technical‐economic‐environmental programming

2020

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This article proposes a planning model for a multi-energy microgrid (MEM) that supplies the electricity, heating, and cooling loads. This controls flexible demands and provides continuous control in the presence of smart and comprehensive programming of electricity, heat, ice, compressed air, and hydrogen energy storage. The features of the MEM are considering the losses and amortization costs of electricity, heating and cooling energy storage, and the operating area of the combined heat and power (CHP) units in the planning procedure. Besides, the principle of convexity in the CHP unit operation area is attended. The proposed formulation is applicable in days of summer and winter seasons for a variety of planning studies. The outcomes represent that utilizing the proposed MEM planning results in significant advantages for the power network and the consumer. The cost savings are respectively obtained equal to 33% and 34% in the winter and summer seasons. The cost savings can be considered besides the investiture cost of MEM elements to specifying the MEM profits made during the designing step. Another valuable result is the cost-saving of PHEV smart charge about 1.38 times of PHEV smart discharge for summer and about 1.05 for winter. It also makes the curve of demand optimal utilization from the demand response program and energy storage plan. K E Y W O R D S combined heat and power (CHP), demand response, energy planning, energy storage, multienergy microgrid (MEM), plug-in hybrid electric vehicle (PHEV)

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“…5 Solar and wind energy is considered to be RESs which can be installed near to load center. [6][7][8][9] Solar and wind energy growth exceeds the most optimistic estimation. Based on the higher reliability and power quality in multi-source hybrid alternative energy system, consumers prefer multi-source hybrid alternative energy system rather than the single resource.…”

Section: Introductionmentioning

confidence: 99%

“…Power usage, petroleum derivatives exhaustible nature and increasing environment state made more interest over renewable energy sources (RESs) 5 . Solar and wind energy is considered to be RESs which can be installed near to load center 6‐9 . Solar and wind energy growth exceeds the most optimistic estimation.…”

Section: Introductionmentioning

confidence: 99%

A hybrid RFCRO approach for the energy management of the grid connected microgrid system

Roy

Mandal

2020

Int Trans Electr Energ Syst

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Energy management of the grid connected microgrid (MG) systems with low cost using a novel hybrid algorithm is implemented in this paper. The novel proposed hybrid technique is the combined performance of both the Random Forest (RF) and Coral Reefs Optimization (CRO) algorithm and in this way it is named as RFCRO. Optimum operation of micro-sources for decreasing the electricity production cost by hourly day-ahead and real-time scheduling is the main objective of the paper. The proposed hybrid technique is to manage the power flows between the energy sources and the grid. To achieve this point, demand response and minimum cost of energy are determined. This technique is involved with the mathematical optimization problems that necessitate more than one fitness function to be optimized simultaneously. By using the inputs of MG-like wind turbine, photovoltaic array, battery, and fuel cell with corresponding cost functions, the RF is employed to predict the load demand. CRO clarifies the squirrel in optimizing the configuration of MG based on the load demand. The proposed hybrid technique is implemented in MATLAB/ Simulink working platform and compared with other solution techniques like

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Optimal energy management of the smart parking lot under demand response program in the presence of the electrolyser and fuel cell as hydrogen storage system

Cited by 74 publications

References 40 publications

Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station

Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station

Optimal planning of multi‐energy microgrid with different energy storages and demand responsive loads utilizing a technical‐economic‐environmental programming

A hybrid RFCRO approach for the energy management of the grid connected microgrid system

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