Shanghai Grid Research Articles

Analysis of application effect of 220 kV UPFC demonstration project in Shanghai grid

The feasibility study of unified power flow controller (UPFC) application in 220 kV Shanghai Grid is conducted based on the analysis of the practical operation of the grid. The location selection method and scheme are proposed for the application of 220 kV UPFC demonstration project. The application effect of the demonstration project of UPFC is evaluated from various perspectives including enhancement of interface transfer capability, improvement of voltage stability performance of the grid and contribution to balancing of reactive power in 220 kV sectionalised systems.

Private and Flexible Urban Message Delivery

With the popularity of intelligent mobile devices, enormous amounts of urban information has been generated and demanded by the public. In response, ShanghaiGrid (SG) aims to provide abundant information services to the public. With a fixed schedule and urbanwide coverage, an appealing service in SG is to provide free message delivery service to the public using buses, which allows mobile device users to send messages to locations of interest via buses. The main challenge in realizing this service is to provide an efficient routing scheme with privacy preservation under a highly dynamic urban traffic condition. In this paper, we present the innovative scheme BusCast to tackle this problem. In BusCast, buses can pick up and forward personal messages to their destination locations in a store–carry–forward fashion. For each message, BusCast conservatively associates a routing graph rather than a fixed routing path with the message to adapt the dynamic of urban traffic. Meanwhile, the privacy information about the user and the message destination is concealed from both intermediate relay buses and outside adversaries. Both rigorous privacy analysis and extensive trace-driven simulations demonstrate the efficacy of the BusCast scheme.

Regulation Right Trading Considering DSM in Shanghai Power Grid

With the implementation of energy-conservation power generation dispatching, power grid will lose some peak regulation capacity, and changes of load demand characteristic will further increase the difference between peak and valley load of power grid, especially in the Shanghai grid, primarily thermal power units. Its peak regulation capacity will be obviously insufficient, and the problem will become increasingly prominent. This presents a new topic for Shanghai power grid in the power generation market: Under the premise of meeting the customers’ need, how to provide a fair competitive environment that encourage power plants to participate in power peak regulation actively, and then lead the grid to safe, high quality and fairly competitive virtuous cycle.

A Study on Bilateral Trade Model for Shanghai Grid under the Constraints of Mandatory Environmental Indicators

Developing bilateral power trade with surrounding regions is not only in favor of improving economic benefit of units in Shanghai grid, but also contributing to the economic development and power distribution safety of Shanghai and surrounding regions. In this paper, considering the situation of indicator control of environmental capacity in key area on power generation enterprises, completion situation of pollution control in generation enterprises, bilateral trade model and evaluation method under the constraints of mandatory environmental indicators are analyzed. Furthermore, solution on achieving clean electricity generation of bilateral trade power in the city of Shanghai is proposed.

Electric load evaluation and forecast based on the elliptic orbit algorithmic model

Electric load forecast analysis has become increasingly important for the industry. Climate factors are the ones of key factors influencing the load demand. The sun is vital for attributing climate change as the earth is moving (revolution, rotation) in its elliptical orbit around the sun. The paper introduces an elliptic orbit algorithmic model for yearly and daily electric load movement analysis. In the proposed model, electric load movement as a time series is mapped to the polar coordinates to build the algorithmic model that the angular coordinate represents time, and the radial coordinate donates its corresponding electric load. The built model with its elliptical orbit is used for load movement analysis. The proposed approach is applied to yearly load movement evaluation and forecast for State Gird Corporation of China (SG) and its five branches in 2006, and daily load movement evaluation and forecast for one daily load of Shanghai Grid. The experiments yield results agreeing well with their actual loads. The results indicate workability of the proposed.

ANTS: Efficient Vehicle Locating Based on Ant Search in ShanghaiGrid

Intelligent transportation systems (ITSs) have become increasingly important for public transportation in Shanghai, China. In response, ShanghaiGrid (SG) aims to provide abundant intelligent transportation services to improve traffic conditions. A fundamental service in SG is to locate the nearest desirable vehicles for users. In this paper, we propose an innovative protocol called ANTS to locate a desirable vehicle close to the querying user. The protocol finely mimics the efficient searching strategy adopted by a lost ant searching for its nest. Taking query locality into account, ANTS can retrieve the closest vehicles satisfying the query with high probability but incurs small query latency and modest network traffic. ANTS is a fully distributed and robust protocol and, therefore, has good scalability. Extensive simulations based on the real road network and the trace data of vehicle movements in Shanghai demonstrate the efficacy of ANTS.

HERO: Online Real-Time Vehicle Tracking

Intelligent transportation systems have become increasingly important for the public transportation in Shanghai. In response, ShanghaiGrid (SG) project aims to provide abundant intelligent transportation services to improve the traffic condition. A challenging service in SG is to accurately locate the positions of moving vehicles in real time. In this paper, we present an innovative scheme, hierarchical exponential region organization (HERO), to tackle this problem. In SG, the location information of individual vehicles is actively logged in local nodes which are distributed throughout the city. For each vehicle, HERO dynamically maintains an advantageous hierarchy on the overlay network of local nodes to conservatively update the location information only in nearby nodes. By bounding the maximum number of hops the query is routed, HERO guarantees to meet the real-time constraint associated with each vehicle. A small-scale prototype system implementation and extensive simulations based on the real road network and trace data of vehicle movements from Shanghai demonstrate the efficacy of HERO.