Greedy Strategy and Self-Adaptive Crossover Operator Based Monarch Butterfly Optimization for Simultaneous Integration of Renewables and Battery Energy Storage in Distribution Systems

2019 ◽  
Author(s):  
P. Singh ◽  
B. Singh ◽  
S.K. Bishnoi ◽  
N.K. Meena ◽  
Jin Yang
Keyword(s):  
Energy Storage ◽  
Distribution Systems ◽  
Monarch Butterfly ◽  
Crossover Operator ◽  
Battery Energy Storage ◽  
Greedy Strategy ◽  
Simultaneous Integration ◽  
Integration Of Renewables ◽  
Adaptive Crossover ◽  
Battery Energy

scholarly journals DESIGN OF LVAC DISTRIBUTION SYSTEM WITH PV AND CENTRALIZED BATTERY ENERGY STORAGE INTEGRATION-A CASE STUDY OF CAMBODIA

2019 ◽  
Vol 9 (2) ◽  
pp. 1-16
Author(s):  
Vannak Vai ◽  
Marie-Cécile Alvarez-Hérault ◽  
Long Bun ◽  
Bertrand Raison
Keyword(s):  
Energy Storage ◽  
Load Balancing ◽  
Urban Area ◽  
Distribution Systems ◽  
Mixed Integer ◽  
Optimal Topology ◽  
Battery Energy Storage ◽  
Discounted Cost ◽  
Battery Energy

This paper studies an optimal design of grid topology and integrated photovoltaic (PV) and centralized battery energy storage considering techno-economic aspect in low voltage distribution systems for urban area in Cambodia. This work aims at searching for an optimal topology including size of the battery energy storage by two different methods over the planning study of 15 years. Firstly, the shortest path algorithm (SPA) and first-fit bin-packing algorithm (FFBPA) are used to find out the topology which minimize the line and the load balancing. Secondly, mixed integer quadratically constrained programming (MIQCP) algorithms are developed to search for a topology which minimize conductor use and the load balancing improvement. Next, Genetic algorithm is developed to size the maximum PV peak power connected into LV network with respected to voltage and current constraints. Then, the size of battery energy storage procedure is established in order to eliminate the reverse power flow going on medium voltage (MV) grid and to improve the autonomous operation time of system. A discounted cost method is used to evaluate the solutions for different methods. Lastly, an urban area in Cambodia is chosen as a case study in this paper. Simulation results confirm the proposed method in this research.

scholarly journals Modeling and Simulation of a Control Algorithm for Home Energy Management System

2019 ◽  
Vol 8 (4S2) ◽  
pp. 396-399
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Distribution Systems ◽  
Fuzzy Logic Controller ◽  
Energy Resources ◽  
Energy Management System ◽  
Battery Energy Storage ◽  
Home Energy Management ◽  
Battery Energy

Microgrids are handy units for a utility since their units such as distributed energy resources (DER) and loads can able to control the power ingestion or production. Moreover, it is used to assimilate renewable energy resources (RES) to small distribution systems. Battery energy storage systems (BESSs) are employed to recompense the sporadic output of RES. Similarly, DC microgrid for a home can be excellently controlled by an energy management system (EMS) using fuzzy logic controller (FLC) of 25-rules alone to control the power flow. The system has photovoltaic (PV), Fuel Cell (FC) and battery energy storage (BES). This study aims to introduce firefly algorithm (FA) to optimize FLC in order to increase the system energy saving efficiency and to reduce the cost.

scholarly journals Micro-market Operation Strategy Based on Two-way Bidding of Electric Vehicles and Battery Energy Storage

2021 ◽  
Vol 236 ◽  
pp. 02019
Author(s):  
Dazhong Zou ◽  
Gang Zhang ◽  
Shuai Lu ◽  
Yinping Dai
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Distribution System ◽  
Distribution Systems ◽  
Battery Energy Storage ◽  
Market Participants ◽  
High Penetration ◽  
Market Operation ◽  
Battery Energy ◽  
Ev Charging

To solve the problem that charging is constrained by the capacity of distribution facilities under high penetration of electric vehicles (EVs), this paper proposes to improve EV charging capacity through battery energy storage (BES) and presents the design of a locally organized market, namely micro-market, that manages the energy transactions between EVs and the BES. When the load of a distribution system approaches its limit, additional EV charging demand is met by the BES, and the price is determined in an automated two-way bidding process. This mechanism can increase EV charging capacity as well as provide an additional revenue stream for the BES in distribution systems. The presented micro-market design ensures the balance between revenue and expenditure of market participants. The organization and settlement process of the micro-market are demonstrated using an example case, and the effectiveness of the design is proved.

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