Coordinated Charging of EVs Based on Demand-Side Management

2014 ◽  
Vol 596 ◽  
pp. 760-765
Author(s):  
Yu Kai Li ◽  
Hong Ouyang ◽  
Jia Kui Zhao ◽  
Xiu Kai Rong ◽  
Yi Dong
Keyword(s):  
Large Scale ◽  
Peak Load ◽  
Demand Side Management ◽  
Optimal Number ◽  
Demand Side ◽  
Nsga Ii ◽  
On Demand ◽  
Load Fluctuation ◽  
Power Load ◽  
Coordinated Charging

Electric vehicles (EVs) are adopted as an effective way to reduce the pollution of atmosphere. However, if EVs are implemented in a large scale without control, peak load would increase significantly and the grid may be overloaded. Based on Demand-Side Management (DSM), an coordinated charging method for EVs to address the problem of that is proposed. Considering load fluctuation of power grid as well as time-of-use (TOU) power price, a multi-objective optimization model is formulated to minimize the charging cost and restrain the load fluctuation. Overall power load is composed of original daily load and EV charging load, which is obtained through Monte Carlo simulations. On the basis of this, the optimal number of charging EVs in each period is worked out with NSGA-II algorithm. At last, the case study carried out shows the reasonability of this method.

scholarly journals Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1618
Author(s):  
Mohanasundaram Anthony ◽  
Valsalal Prasad ◽  
Raju Kannadasan ◽  
Saad Mekhilef ◽  
Mohammed H. Alsharif ◽  
...  
Keyword(s):  
Wind Energy ◽  
Energy Cost ◽  
Fuzzy Controller ◽  
Residential Buildings ◽  
Peak Load ◽  
Demand Side Management ◽  
Consumption Pattern ◽  
Demand Side ◽  
Pv System ◽  
Inference System

This work describes an optimum utilization of hybrid photovoltaic (PV)—wind energy for residential buildings on its occurrence with a newly proposed autonomous fuzzy controller (AuFuCo). In this regard, a virtual model of a vertical axis wind turbine (VAWT) and PV system (each rated at 2 kW) are constructed in a MATLAB Simulink environment. An autonomous fuzzy inference system is applied to model primary units of the controller such as load forecasting (LF), grid power selection (GPS) switch, renewable energy management system (REMS), and fuzzy load switch (FLS). The residential load consumption pattern (4 kW of connected load) is allowed to consume energy from the grid and hybrid resources located at the demand side and classified as base, priority, short-term, and schedulable loads. The simulation results identify that the proposed controller manages the demand side management (DSM) techniques for peak load shifting and valley filling effectively with renewable sources. Also, energy costs and savings for the home environment are evaluated using the proposed controller. Further, the energy conservation technique is studied by increasing renewable conversion efficiency (18% to 23% for PV and 35% to 45% for the VAWT model), which reduces the spending of 0.5% in energy cost and a 1.25% reduction in grid demand for 24-time units/day of the simulation study. Additionally, the proposed controller is adapted for computing energy cost (considering the same load pattern) for future demand, and it is exposed that the PV-wind energy cost reduced to 6.9% but 30.6% increase of coal energy cost due to its rise in the Indian energy market by 2030.

Demand Side Management for Reducing Rolling Blackouts Due to Power Supply Deficit in Sumatra

2014 ◽  
Vol 69 (5) ◽  
Author(s):  
Husna Syadli ◽  
Md Pauzi Abdullah ◽  
Muhammad Yusri Hassan ◽  
Faridah Hussin
Keyword(s):  
Power Systems ◽  
Customer Service ◽  
Power Supply ◽  
Management Strategies ◽  
Peak Load ◽  
Demand Side Management ◽  
Demand Side ◽  
Demand Growth ◽  
Save Energy ◽  
The Impact

When the high electricity demand growth is not matched by growth in generating sufficient capacity, deficit cannot be avoided. In Sumatera, power outages of up to 6 hours per day are part of the power crisis experienced. To date, deficits experienced by Sumatera require better management strategy and operation of electric power systems, taking into account the security system, reliability and customer service. This paper briefly discusses the impact of rolling blackouts on the community's economy and proposed demand-side management strategies as short term measure to overcome the power supply deficit in Sumatera. From the analysis, electricity savings in household equipment can save energy consumption by 98.79 MW at peak load and 97.55 MW for off peak load time. 

The Dispatch Method Based on Demand Response under the Pressure of Energy-Saving

2013 ◽  
Vol 860-863 ◽  
pp. 746-753
Author(s):  
Shu Xiang Wang ◽  
Ji Chun Liu ◽  
Chuang Deng ◽  
Wei Dong Zheng ◽  
Hou Dong Xu ◽  
...  
Keyword(s):  
Energy Saving ◽  
Demand Response ◽  
Optimal Allocation ◽  
Demand Side ◽  
Thermal Unit ◽  
Nsga Ii ◽  
On Demand ◽  
Unit Output ◽  
Grid Operation

To promote the development of energy-saving dispatch under the pressure of energy saving and environmental protection, this paper proposes an energy-saving dispatch method based on considering demand response, which establishes a bi-level optimization model based on the optimal allocation plan of thermal units and interruptible loads, and solve the problem with improved NSGA-II and sensitivity analysis between unit interrupt capacity and thermal unit output. The case study shows that this model can decrease the pollutants at both generation side and demand side significantly with guaranteeing the economic of power grid operation. The model can also give the dispatch schedule of thermal units and interruptible loads accurately and thus has some use value.

The Empirical Study in Smart Power Consumption Based on the Adjustment and Control System

2012 ◽  
Vol 241-244 ◽  
pp. 2010-2014 ◽  
Author(s):  
Kun Huang ◽  
Tian Yang Li ◽  
Yong Biao Yang
Keyword(s):  
Empirical Study ◽  
Power Consumption ◽  
Large Scale ◽  
Power Grid ◽  
Peak Load ◽  
Regulation System ◽  
Software Platform ◽  
Commercial Building ◽  
Smart Power ◽  
Power Load

The smart power consumption is an important orientation in peak load shifting and load shedding of power grid in particular time period. It has the significant effect to relieve the load shortage of the power grid. The large-scale electrical devices like central air-condition in commercial building have the great potential in the energy efficiency improvement and available load integration. The effectively regulation of power load in public and commercial construction can improve the stability and reliability of power grid. The power situation in china and the content of empirical study were introduced, and the system hardware design and software platform construction is demonstrated. The function modules of software platform and realization of regulation system are discussed in final.

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