SHUFFLED FROG LEAP ALGORITHM FOR OPTIMAL PLACEMENT OF HYBRID RENEWABLE ENERGY WITH BATTERY STORAGE
DESIGN DETAILS
Radial distribution networks are distinguished by their low energy profile, stable voltage, lower power factor, and increased system loss. The future efficient power distribution system to maintain the reliability and standard of power service, a suitable operationally optimal planning methodology is required. As part of their global initiative on pure and green energy resources, governments around the world are placing a significant emphasis on the integration of large-scale green energy sources including Photovoltaic (PV), Wind turbines (WT), etc. Still, the recurring issue of unpredictable power production and load profile generates several obstacles that limit the large-scale integration of PV into the distribution network. The primary benefits of PV/Wind turbine integration in RDS are its green energy, minimal maintenance costs, and cost savings. Apart from being dependent on the weather, these advancements are not reliable, mandating the utilization of Battery Energy Storage Systems (BESS). On the contrary, PV/Wind turbine is a non-dispatchable source, prompting many researchers to combine Battery-based ESS (BESS) with PV/Wind turbine to turn it into a dispatchable resource. Recent advancements to the BESS have enhanced its reliability and effectiveness for use with renewable energy resources. Therefore, BESS can be depicted as a power supply when load demands exceed the amount of energy produced by renewable energy resources (RERs). The agglomeration of different but complementary energy generation systems based on RESs or mixed energy is known as a renewable energy hybrid system. Therefore, the resulting grid from this system is known as a microgrid (MG) due to its capacity compared to the main grid. The second factor considered is network reliability, nowadays reliability is also an important parameter in electrical industry to achieve high security and adequacy of the system. There are three important parameters required to be introduced in reliability viz customer composite damage function, average load, and failure rate. SFLAalong with backward forward load flow analysis is used to find the optimal location of PV, WT is combined with BESS. The performance of the design is evaluated on two standard bus systems 33 and 69 using Matlab program(m-files).
The objective function,F(k)=min∑_(i=1)^br▒〖R_i*I_i^2 〗 , Power Loss
RELIABILITY INDICES
1. System Average Interruption Frequency Index (SAIFI)
2. System Average Interruption Frequency Index (SAIDI)
3. Customer Average Interruption Duration Index (CAIDI)
4. Average service availability index (ASAI)
5. Average Service Unavailability Index (ASUI)
6. Expected energy not supplied (EENS)
Scenarios
1. Basecase
2. Optimal allocation of PV
3. Optimal allocation of WT
4. Optimal allocation of BESS
5. Simultaneous allocation of PV with BESS
6.Simultaneous allocation of WT with BESS
7.Simultaneous allocation of PV, WT, and BESS
Matlab Simulation Results
1. Active Power Loss (kW)
2. Reactive Power Loss (kVAr)
3. Minimum and Maximum Voltage (PU) @ Bus
4. Optimal PV, WT, and BESS Location
5. Optimal BESS Size
6. Execution Time
Matlab Simulation Figures
1. Voltage Profile
2. Convergence graph
REFERENCES
Reference Paper-1: Stochastic Optimal Planning of Distribution System Considering Integrated Photovoltaic-Based DG and DSTATCOM Under Uncertainties of Loads and Solar.
Author’s Name: Eyad S. Oda, Amal M. Abd El Hamed, Abdelfatah Ali and, Adel A. Elbaset,
Source: IEEE
Year:2021
Reference Paper-2: Energy Exchange Control in Multiple Microgrids with Transactive Energy Management
Author’s Name: Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Mehdi Abapour, and Somayeh Asadi
Source: IEEE
Year:2020
Reference Paper-3: Optimal placement and sizing of photovoltaics and battery storage in distribution networks
Author’s Name: Riad Chedid and Ahmad Sawwas
Source: Wiley
Year:2019
Reference Paper-4: DG Placement Using Loss Sensitivity Factor Method for Loss Reduction and Reliability Improvement in Distribution System
Author’s Name: G.Sasi Kumar, Dr.S.Sarat Kumar, Dr.S.V.Jayaram Kumar
Source: IJET
Year: 2018
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