scholarly journals Optimal Design of Photovoltaic Connected Energy Storage System Using Markov Chain Models

2021 ◽  
Vol 13 (7) ◽  
pp. 3837
Author(s):  
Woo-sung Kim ◽  
Hyunsang Eom ◽  
Youngsung Kwon
Keyword(s):  
Markov Chain ◽  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
System Capacity ◽  
Embedded Markov Chain ◽  
Initial State ◽  
Markov Chain Models ◽  
Load Demand ◽  
Absorbing Markov Chain

This study improves an approach for Markov chain-based photovoltaic-coupled energy storage model in order to serve a more reliable and sustainable power supply system. In this paper, two Markov chain models are proposed: Embedded Markov and Absorbing Markov chain. The equilibrium probabilities of the Embedded Markov chain completely characterize the system behavior at a certain point in time. Thus, the model can be used to calculate important measurements to evaluate the system such as the average availability or the probability when the battery is fully discharged. Also, Absorbing Markov chain is employed to calculate the expected duration until the system fails to serve the load demand, as well as the failure probability once a new battery is installed in the system. The results show that the optimal condition for satisfying the availability of 3 nines (0.999), with an average load usage of 1209.94 kWh, is the energy storage system capacity of 25 MW, and the number of photovoltaic modules is 67,510, which is considered for installation and operation cost. Also, when the initial state of charge is set to 80% or higher, the available time is stable for more than 20,000 h.

Wind-Solar-Hydrogen Hybrid Energy Control Strategy Considering Delayed Power of Hydrogen Production

2021 ◽  
Vol 69 (2) ◽  
pp. 5-12
Author(s):  
Zheng Li ◽  
Yan Qin ◽  
Xin Cao ◽  
Shaodong Hou ◽  
Hexu Sun
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Reactive Power ◽  
Storage System ◽  
Energy Storage System ◽  
Storage Device ◽  
Solar Hydrogen ◽  
Dc Voltage ◽  
Hybrid Energy ◽  
Load Demand

In order to meet the load demand of power system, BP based on genetic algorithm is applied to the typical daily load forecasting in summer. The demand change of summer load is analysed. Simulation results show the accuracy of the algorithm. In terms of power supply, the reserves of fossil energy are drying up. According to the prediction of authoritative organizations, the world's coal can be mined for 216 years. As a renewable energy, wind power has no carbon emissions compared with traditional fossil energy. At present, it is generally believed that wind energy and solar energy are green power in the full sense, and they are inexhaustible clean power. The model of wind power solar hydrogen hybrid energy system is established. The control strategy of battery power compensation for delayed power of hydrogen production is adopted, and different operation modes are divided. The simulation results show that the system considering the control strategy can well meet the load demand. Battery energy storage system is difficult to respond to short-term peak power fluctuations. Super capacitor is used to suppress it. This paper studies the battery supercapacitor complementary energy storage system and its control strategy. When the line impedance of each generation unit in power grid is not equal, its output reactive power will be affected by the line impedance and distributed unevenly. A droop coefficient selection method of reactive power sharing is proposed. Energy storage device is needed to balance power and maintain DC voltage stability in the DC side of microgrid. Therefore, a new droop control strategy is proposed. By detecting the DC voltage, dynamically translating the droop characteristic curve, adjusting the output power, maintaining the DC voltage in a reasonable range, reducing the capacity of the DC side energy storage device. Photovoltaic grid connected inverter chooses the new droop control strategy.

scholarly journals Coordinated Control of Interconnected Microgrid and Energy Storage System

2018 ◽  
Vol 8 (6) ◽  
pp. 4781
Author(s):  
Md. Asaduz-Zaman ◽  
Md. Habibur Rahaman ◽  
Md. Selim Reza ◽  
Md. Mafizul Islam
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Frequency Regulation ◽  
Spinning Reserve ◽  
Island Area ◽  
Load Demand ◽  
Loading Constraints ◽  
Power Frequency ◽  
The Cost

Several microgrids can be interconnected together to enhance the grid reliability and reduce the cost of supplying power to an island area where conventional power grid cannot be connected. Source and load demand do not properly balance always. Besides that, sometimes power and frequency fluctuation has occurred in MG at island mode. Need to design a special control for maintaining the state of charge (SoC) of energy storage system. This paper proposes a new power supply system for an island area that interconnects two microgrids with a single energy storage system (ESS). An algorithm has been proposed that control the microgrids energy storage system for spinning reserve and load power/frequency regulation purpose. The minimum loading constraints of diesel engine generator (DEG) is considered and the SOC of the ESS is properly maintained.

scholarly journals Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1074 ◽  
Author(s):  
Francisco José Vivas ◽  
Francisca Segura ◽  
José Manuel Andújar ◽  
Adriana Palacio ◽  
Jaime Luis Saenz ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Management System ◽  
Hydrogen Energy ◽  
Economic Point ◽  
Load Demand

This paper proposes a fuzzy logic-based energy management system (EMS) for microgrids with a combined battery and hydrogen energy storage system (ESS), which ensures the power balance according to the load demand at the time that it takes into account the improvement of the microgrid performance from a technical and economic point of view. As is known, renewable energy-based microgrids are receiving increasing interest in the research community, since they play a key role in the challenge of designing the next energy transition model. The integration of ESSs allows the absorption of the energy surplus in the microgrid to ensure power supply if the renewable resource is insufficient and the microgrid is isolated. If the microgrid can be connected to the main power grid, the freedom degrees increase and this allows, among other things, diminishment of the ESS size. Planning the operation of renewable sources-based microgrids requires both an efficient dispatching management between the available and the demanded energy and a reliable forecasting tool. The developed EMS is based on a fuzzy logic controller (FLC), which presents different advantages regarding other controllers: It is not necessary to know the model of the plant, and the linguistic rules that make up its inference engine are easily interpretable. These rules can incorporate expert knowledge, which simplifies the microgrid management, generally complex. The developed EMS has been subjected to a stress test that has demonstrated its excellent behavior. For that, a residential-type profile in an actual microgrid has been used. The developed fuzzy logic-based EMS, in addition to responding to the required load demand, can meet both technical (to prolong the devices’ lifespan) and economic (seeking the highest profitability and efficiency) established criteria, which can be introduced by the expert depending on the microgrid characteristic and profile demand to accomplish.

Wind/Storage System Capacity Configuration Research Based on the Benefits of Energy Saving and Emission Reduction

2013 ◽  
Vol 291-294 ◽  
pp. 636-641
Author(s):  
Jian Lin Li ◽  
Xiong Xiong ◽  
Shui Li Yang
Keyword(s):  
Energy Storage ◽  
Energy Saving ◽  
Emission Reduction ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Utilization ◽  
System Capacity ◽  
Benefit Evaluation ◽  
System Energy ◽  
Nested Genetic Algorithm

Rational configuration of energy storage system is an effective means to improve power system energy utilization and solve the bottleneck problem of wind power. To energy saving and emission reduction as study object, analyse energy storage system energy saving and emission reduction benefit evaluation index. Establish the wind/storage system benefit evaluation model to calculate wind/storage optimum matching capacity used nested genetic algorithm. The calculated results show that the wind/storage system with reasonable configuration can improve the social benefits of energy saving and emission reduction.

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