energy storage

List of Articles energy storage

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1 - Optimal Allocation of Battery Energy Storage in Distribution Network for Maximum Profitability
mohammad rasol jannesar mohsen kalantar A. R. Sedighi
20.1001.1.16823745.1398.17.4.7.6

In this paper, the optimal allocation of battery energy storage in the distribution network is performed for peak shaving and maximizing profitability. To this end, indicator shave been introduced using hourly load information, feeder upgrade cost and electricity sales More

In this paper, the optimal allocation of battery energy storage in the distribution network is performed for peak shaving and maximizing profitability. To this end, indicator shave been introduced using hourly load information, feeder upgrade cost and electricity sales price to various tariffs. Then, using the Analytic Hierarchy Process (AHP), the indicators are weighted and a suitable feeder is indicated for installing energy storage. Then, to achieve the maximum possible peak shaving and maximize profit, an economic objective function is defined to determine the optimal sizing and charge-discharge of the energy storage. The objective function includes the investment and operating cost of battery energy storage and the profits of energy arbitrage, deferring facility investment, environmental issues, and reducing the upstream access cost. Appropriate constraints are considered according to the peak shaving, range of battery power and energy capacity as well as balance in the amount of charge and discharge. Due to the nonlinearity of the objective function, the components involved in the nonlinearity of the objective function are determined according to the heuristic algorithms (Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Tabu Search (TS)) and then the objective function is solved by the Interior-point linear programming. The results provide the most suitable battery type and optimization method among the introduced batteries and methods while fulfilling the objectives. Manuscript profile
Open Access Article
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2 - Design and Simulation of a New Micro-Displacement Sensor Based on Negative Refraction Photonic Crystal
K. Fasihi
20.1001.1.16823745.1399.18.2.8.0

In this paper, design and simulation of a new micro-displacement sensor based on photonic crystal fixed and movable segments is presented. It has been shown that using negative refraction photonic crystal in the fixed segment, the transmitted power is concentrated on th More

In this paper, design and simulation of a new micro-displacement sensor based on photonic crystal fixed and movable segments is presented. It has been shown that using negative refraction photonic crystal in the fixed segment, the transmitted power is concentrated on the entrance of the movable segment, and the sensor specifications are improved. Based on the FDTD simulation results, the sensitivity, the operational displacement range and the regression coefficient of the proposed sensor are 1.1 (a-1), 0.35a and 0.99848, respectively. The simulation results show that the proposed sensor has a good performance and could well be used in micro-displacement measuring systems. Manuscript profile
Open Access Article
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3 - A Two-Step Stochastic Linear Programming Approach for Microgrid Resources and Energy Storage Management with Real-Time Pricing Program Using Salp Swarm Optimization Algorithm
Mohsen Sarami مجيد معظمي غضنفر شاهقلیان
20.1001.1.16823745.1401.20.1.14.8

Integrating renewable resources to provide local load has created a concept called microgrid. With the widespread introduction of microgrids, energy management and system utilization and resources in the electricity market are important tasks of microgrid management. In More

Integrating renewable resources to provide local load has created a concept called microgrid. With the widespread introduction of microgrids, energy management and system utilization and resources in the electricity market are important tasks of microgrid management. In this paper, the problem of microgrid utilization is modeled taking into account economic, technical and uncertainties related to power consumption, wind speed and solar radiation in electricity market conditions. One of the most important issues in the electricity market is the discussion of the participation of units in real price conditions. In this paper, a framework for the exploitation of electricity and the consumption of controllable loads through integrated utilization of distributed energy sources of uncertainty is presented from a consumer perspective. The optimization problem is a two-step stochastic linear programming that minimized the cost of microgrid operation and expected cost of consumers considering the consumer’s requirement for controllable loads in the desire time interval and distribution company constraints that solved by using Salp swarm optimization algorithm. RBT and IBR tariffs are employed for modeling retail power market for better reflection of wholesale price volatility and avoid of the concurrent use of consumers. In this method price announced to the consumers by retailers only is limited specific later hours instead of the entire operation period. In this condition any timing of controllable loads need to price forecasting, while this forecasting have some uncertainties. These uncertainties are modeled using Monte Carlo method for stochastic price variable scenario generation. MATLAB software is employed for simulation and verification of the proposed method. Manuscript profile
Open Access Article
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4 - Reactive Power management in Distribution Network Considering uncertainties in the Presence of Discrete and Continuous Reactive Power Compensator Equipment
mahboobeh etemadizadeh maryam Ramezani H. Falaghi
20.1001.1.16823745.1402.21.2.5.8

The increasing rate of distributed generation resources expansion into power systems and the random nature of these resources have altered the operation and design of these networks, and reactive power management in distribution networks belongs to this category. The us More

The increasing rate of distributed generation resources expansion into power systems and the random nature of these resources have altered the operation and design of these networks, and reactive power management in distribution networks belongs to this category. The use of these resources in distribution networks is not without challenges and the lack of optimal management of reactive power may not bring economic efficiency for the network. Energy storage systems have the potential to solve this problem. Therefore, in this article, reactive power management in a microgrid connected to the main grid, taking into account distributed generation sources, energy storage systems and discrete reactive power compensating equipment, including capacitor banks, taking into account uncertainty in network load and Wind and solar power generation has been done. Finally, the efficiency of the method is demonstrated by numerical examinations on the distribution networks of 33 and 69 IEEE buses and in the GAMS optimization software. Manuscript profile

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List of Articles energy storage