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In order to limit the environmental impact of electricity production, renewable energy sources are expected to expand significantly. The current grid and production structure are not designed to absorb such quantities of intermittent power output and smart grids can provide promising solutions, like demand response. This paper presents the technical advantages of managing flexible demand through Aggregators...
Previous work on demand response in smart grids considers dynamic real-time prices, but has so far neglected to consider how consumers can also be involved in planning ahead, both for scheduling of consumption and reserving their ability to regulate downward during balancing. This work models a flexible consumer in a novel two-settlement electricity auction. The consumer buys electricity on an ahead...
This research examines optimal operation of microgrid systems. Microgrids are disaggregated from main transmission grid. Microgrids are able to integrate distributed renewable energy, take advantage of waste heat, provide higher power reliability, reduce electricity transmission loss, and decrease greenhouse gas emissions. The study considers solar power, wind power, biomass power, gas turbine, fuel...
The construction of Smart Grid will comprehensively enhance the intelligent level of every step in the power grid of our country. The data forecasting ability determines the quality of smart grid. As a result of this, this paper constructs the background value of grey GM (1, 1) model by using threepoint Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction...
The growing environmental concerns and increasing electricity prices have led to wider implementation of demand-side activities and created a new class of consumers, called demand response resources (DRRs). The DRRs actively participate in the electricity markets as buyers of electricity and sellers of load curtailment services. The demand profile modifications resulting from the DRR curtailments...
Electricity industry is one of the main foundations of each country. Electricity demand growth in developing countries is at its peak so that these countries play an important role in electricity consumption. Since this energy can't be stored in large quantity, forecasting consuming load is a major concern in using electricity energy. This paper has formulated electrify consumption for residential...
In this work, we propose a multi-layered adaptive load management (ALM) system capable of integrating large-scale demand response in electric power systems efficiently and reliably. Electric power systems can be seen as a composition of multiple subsystems: power producers, load aggregators/utilities, end-users, etc. Focusing on the demand side of the system, we decompose the whole power system into...
Traditional trading methods are based on the integrated optimization problems of economy and environmental protection, but do not consider the effects on demand-side. A revised model for medium and shortterm trade planning is presented in this paper. It firstly forecasts the industry electric quantity of peak, flat, valley monthly on the demand side using the parameter-modified grey model and consider...
Rapid development and large-scale application of distributed energy resources (DER for short) will bring new opportunities and challenges to intelligent marketing. Based on technology roadmap of smart grid, the developmental outlook of DER is proposed. Some new concepts are introduced which contain information management of three-level control, principle of power-consumed, virtual marketing, and demand-side...
Smart Grid is the research focus of today's power industry. Demand Response (DR), as one of the primary components of the Smart Grid, has got much attention from the utilities and the consumers. In the electricity market with opening demand side, on the basis of optimal spot pricing with Primal - dual interior point algorithm, the distribution pricing model considering Demand Response was formed,...
The need for flexible electricity systems, changing regulations and the importance of renewable energy use may lead in time to the requirement of a decentralised electricity network. This paper presents an outline for developing a model of the decentralised energy network based on `energy hubs'. Energy hubs are units whereby multiple energy carriers are converted to energy services such as electricity...
This paper uses a computable general equilibrium to analysis the economical and environmental impact of demand-side management program. Aiming at the DSM program of improving energy efficient, the paper deeply study the changes of economical and environmental of demand side management program under the clean development mechanism which brought subsidies. The study found that the clean development...
This document presents the new model of distributed consumers of electricity powering - named power modes. There is presented a conceptual model of an IT hierarchical distributed system for data acquisition and evidence the state of the controlled distributed object - the electric energy consumption. The authors will try to show that the proposed model of the IT system is accurate to solve the problem...
Demand side management (DSM) plays an important role in energy efficiency. How to simulate DSM with market mechanism is important for policy maker and is also a complex issue. The paper studies the impacts of establishing DSM market mechanism with DSM charge in China by an open-agents model. It consists of a government agent, 15 sectoral agents and human experts, open to human experts. The government...
The implementation of interruptible load improves the quality of power supply and economy in power system, the optimal removal order of interruptible load should be considered from these two aspects. Based on compensation price, nodal price and line loss were divided into the economy of interruptible load for power system, and the parameters of nodal price and line loss were calculated from the Optimal...
This paper presents an approach to the modelling and simulation of highly distributed power systems, in the context of existing UK distribution networks. The model is part of a framework to assess the network impact of high-penetrations of micro-generation, as well as demand side management (DSM) measures. This framework supports the representation of the 11 kV and low voltage distribution network...
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