scholarly journals Load balancing for smart grid: centralized and distributed approaches

2021 ◽  
Author(s):  
Mushu Li ◽  
Lian Zhao

As one of the greatest concerns in the context of smart grid, the load balancing problem is addressed by improving the electrical power efficiency and stability via scheduling power loads, thereby shaping the power demand into the desired pattern. The research explores the load balancing strategies to reduce the demand fluctuations in the smart grid systems. Centralized and decentralized load balancing methodologies are discussed. For centralized approaches, offline and online exact power allocation methods are investigated by utilizing the geometric water-filling (GWF) approach. Furthermore, decentralized load balancing problem is discussed at power distribution sub-network level. Electrical vehicle (EV) fleeting among the neighbouring charging stations is considered. Load balancing for the whole grid is achieved by local optimization processes via Proximal Jacobian Alternating Direction Method of Multipliers (ADMM) technique. Overall, facilitated by our proposed strategies, the reliability of the electric grid can be enhanced.

2021 ◽  
Author(s):  
Mushu Li ◽  
Lian Zhao

As one of the greatest concerns in the context of smart grid, the load balancing problem is addressed by improving the electrical power efficiency and stability via scheduling power loads, thereby shaping the power demand into the desired pattern. The research explores the load balancing strategies to reduce the demand fluctuations in the smart grid systems. Centralized and decentralized load balancing methodologies are discussed. For centralized approaches, offline and online exact power allocation methods are investigated by utilizing the geometric water-filling (GWF) approach. Furthermore, decentralized load balancing problem is discussed at power distribution sub-network level. Electrical vehicle (EV) fleeting among the neighbouring charging stations is considered. Load balancing for the whole grid is achieved by local optimization processes via Proximal Jacobian Alternating Direction Method of Multipliers (ADMM) technique. Overall, facilitated by our proposed strategies, the reliability of the electric grid can be enhanced.


The concept of smart grid to transform the old power grid into a smart and intelligent electric power distribution system is, currently, a hot research topic. Smart grid offers the merging of electrical power engineering technologies with network communications. Game theory has featured as an interesting technique, adopted by many researchers, to establish effective smart grid communications. The use of game theory has offered solutions to various decision-making problems, ranging from distributed load management to micro storage management in smart grid. Interestingly, different researchers have different objectives or problem scopes for adopting game theory in smart grid. This chapter explores the game-based approach.


2014 ◽  
Vol 24 (01) ◽  
pp. 1550009 ◽  
Author(s):  
Xiaodao Chen ◽  
Shiyan Hu

Growing concerns on the energy crisis impose great challenges in development and deployment of the smart grid technologies into the existing electrical power system. A key enabling technology in smart grid is distributed generation, which refers to the technology that power generating sources are located in a highly distributed fashion and each customer is both a consumer and a producer for energy. An important optimization problem in distributed generation design is the insertion of distributed generators (DGs), which are often renewable resources exploiting e.g., photovoltaic, hydro, wind, ocean energy. In this paper, a new power loss filtering based sensitivity guided cross entropy (CE) algorithm is proposed for the distributed generator insertion problem. This algorithm is based on the advanced CE optimization technique which exploits the idea of importance sampling in performing optimization. Our experimental results demonstrate that on large distribution networks, our algorithm can largely reduce (up to 179.3%) power loss comparing to a state-of-the-art sensitivity guided greedy algorithm with small runtime overhead. In addition, our algorithm runs about 5× faster than the classical CE algorithm due to the integration of power loss filtering and sensitivity optimization. Moreover, all existing techniques only test on very small distribution systems (usually with < 50 nodes) while our experiments are performed on the distribution networks with up to 5000 nodes, which matches the realistic setup. These demonstrate the practicality of the proposed algorithm.


Author(s):  
Muthuselvi Gomathinayagam ◽  
Saravanan Balasubramanian

The current lifestyle of humanity relies heavily on energy consumption, thus rendering it an inevitable need. An ever-increasing demand for energy has resulted from the increasing population. Most of this demand is met by the traditional sources that continuously deplete and raise significant environmental issues. The existing power structure of developing nations is aging, unstable, and unfeasible, further prolonging the problem. The existing electricity grid is unstable, vulnerable to blackouts and disruption, has high transmission losses, low quality of power, insufficient electricity supply, and discourages distributed energy sources from being incorporated. Mitigating these problems requires a complete redesign of the system of power distribution. The modernization of the electric grid, i.e., the smart grid, is an emerging combination of different technologies designed to bring about the electrical power grid that is changing dramatically. Demand side management (DSM) allow customers to be more involved in contributors to the power systems to achieve system goals by scheduling their shiftable load. Effective DSM systems require the participation of customers in the system that can be done in a fair system. This paper focuses primarily on techniques of DSM and demand responses (DR), including scheduling approaches and strategies for optimal savings.


2019 ◽  
Vol 28 ◽  
pp. 01037 ◽  
Author(s):  
Maciej Kozak

The paper presents the background and results of numerical simulation and experimental research of a system using auctioneering diodes used to distribute the electrical power between two power converters connected with intermediate circuits in parallel, direct connection. Presented non-isolated power distribution system which utilizes blocking diodes placed in DC branches are used in the selected ship's electrical systems, however, they create problems related to control and handling ground faults. Another issue occurring during the operation of this type of systems is increased heat dissipation while diodes switching. Selected problems related to the operation of experimental system have been identified by means of simulation studies and experiments carried out in a 11 kVA laboratory system and the theoretical basis along with results are provided in the article.


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