Integrated Distributed Energy Resource Pricing and Control

U.S. policy is to allow owners of distributed resources to effectively and reliably provide their services at scale, and operate harmoniously on an interconnected distribution and transmission grid. Accordingly, regulation, new business models and technology advances over the past decade have led to significant growth rates in distributed energy resources including generation, responsive demand, energy conservation and customer adoption of industrial, commercial and residential energy management systems. The result is that several regions are reaching proposed capacity levels for distributed generation that exceed traditional operating and engineering practices for distribution systems. At the same time, policies advocating wholesale spot prices to customer devices (“prices to devices”) have not adequately considered distribution system reliability impacts or relationship to distributed generation. As such, it is also not clear that current market models or regulations are entirely adequate or appropriate for the several emerging hybrid regional markets, such as California, with millions of distributed energy resources envision by the year 2020

A New Ranking Approach to Efficiently Detect Anomalies in Cyber Security of Substation

Smart Grid advancements present an undetermined level of risk to electric grid reliability. The coupling of the power infrastructure with complex computer networks substantially expand current cyber-attack surface area and will require significant advances in cyber security capabilities. New capabilities for smart grid system and networks, such as broadband and distributed intelligence capabilities can greatly enhance efficiency and reliability, but they may also create much new vulnerability if not deployed with the appropriate security controls. Providing security for a large system may seem an unfathomable task, and can leave utilities open to cyber-attacks. The problem is to provide an efficient security mechanism to the power grids. Already many mechanisms are proposed for network and host based cyber security these methods does not provide efficient security mechanism. A new mechanism is proposed based on ranking the network and host based anomalies using Gaussian approximation algorithm. This method will monitor the anomalies occurs in the substation and rank the continuous network level security by implementing additional features such as Traffic Analyzing System, Address Blocks System and Packet Filtering System. DOI: 10.17762/ijritcc2321-8169.15030

Microgrid Integration

Hybrid energy systems are becoming attractive to supply electricity to rural areas in all aspects like reliability, sustainability, and environmental concerns, and advances in renewable energy technology; especially for communities living far in areas where grid extension is difficult so generation of renewable energy resources like solar and wind energy to provide reliable power supply with improved system efficiency and significant cost reduction is best way. Besides this, the demand for renewable energy source in large urban cities is increasing, and their integration to the existing conventional grid has become more fascinating challenges. So the future requires stable and reliable integration of renewable distributed generators to the grid, and the local loads are close to distributed generators. Most existing power plants have centralized control system and remote power generation site while most renewable power generations are distributed and connected to lower or medium voltage networks near the customer. When the power demand increases, power failure and energy shortage also increase so the renewable energy can be used to provide constant and sustainable power. The chapter will provide a complete overview of microgrid system with its complete operation and control

Distributed filtering of networked dynamic systems with non-gaussian noises over sensor networks: A survey

summary:Sensor networks are regarded as a promising technology in the field of information perception and processing owing to the ease of deployment, cost-effectiveness, flexibility, as well as reliability. The information exchange among sensors inevitably suffers from various network-induced phenomena caused by the limited resource utilization and complex application scenarios, and thus is required to be governed by suitable resource-saving communication mechanisms. It is also noteworthy that noises in system dynamics and sensor measurements are ubiquitous and in general unknown but can be bounded, rather than follow specific Gaussian distributions as assumed in Kalman-type filtering. Particular attention of this paper is paid to a survey of recent advances in distributed filtering of networked dynamic systems with non-Gaussian noises over sensor networks. First, two types of widely employed structures of distributed filters are reviewed, the corresponding analysis is systematically addressed, and some interesting results are provided. The inherent purpose of adding consensus terms into the distributed filters is profoundly disclosed. Then, some representative models characterizing various network-induced phenomena are reviewed and their corresponding analytical strategies are exhibited in detail. Furthermore, recent results on distributed filtering with non-Gaussian noises are sorted out in accordance with different network-induced phenomena and system models. Another emphasis is laid on recent developments of distributed filtering with various communication scheduling, which are summarized based on the inherent characteristics of their dynamic behavior associated with mathematical models. Finally, the state-of-the-art of distributed filtering and challenging issues, ranging from scalability, security to applications, are raised to guide possible future research

Simulation of Power System Response to Reactive Power Compensation

The demand of power in theUnited Stateshas doubled in the last decade. The constant increase in power flow has saturated the existing infrastructure. Modern advances in technology are changing the way utility industry increases the transmission of power throughout the country. Distributed Energy Resources are constantly improving their reliability and power capabilities. This thesis will simulate the response of the power system to reactive power injection. The testing will take place in the Reactive Power Laboratory at Oak Ridge National Laboratory. The facility is an initiative by the U.S. Department of Energy to facilitate the development of new resource technologies. The simulation will include the use of a synchronous motor and an inverter as reactive power compensation devices. The model will be compared to actual measured data from which it will be used in planned contingency cases to study the response of the power system