活动主题：The Third TSINGHUA-BATH Smart Grid Workshop

时 间：2015年5月15日9:00-12:05

地点：清华大学西主楼3-102

活动安排见下表：

No.

Time Slot

Presentation Title

Speaker

9:00-9:05

Welcome Speech

Prof. Chongqing Kang

1

9:05-9:40

New market models for low carbon generation, network and energy supply

Prof. Furong Li

2

9:40-10:15

Coordinated Economic Dispatch for Multi-Area Power Systems via Multi-Parametric Programming

Dr. Ye Guo

3

10:15-10:50

Uncertainty modelling for restructured power systems

Dr. Rohit Bhakar

4

10:50-11:25

Pool Equilibria Including Strategic Storage Systems

Mr. Peng Zou

5

11:25-12:00

Smart Metering Consumer Analysis and New Business Models for Distributed System Operator

Dr. Ran Li

12:00-12:05

Closing Remarks

Prof. Furong Li

报告摘要：

报告1：New market models for low carbon generation, network and energy supply

Professor Furong Li, University of Bath

The transition to low carbon economy challenges the traditional market models that are designed for a high carbon system. Integration of renewable generation and low carbon load such as electric vehicles and heap pumps requires a more active operation and efficient network design from transmission to distribution networks. Critically, consumers are changing the role they play in the new environment, from a passive consumer to an active, responsive and responsive energy citizen.

This talk provides new commercial challenges that the UK government is addressing from generation, through transmission, distribution to retailing. These new developments are the direct response to major changes in energy landscape, in network design and security standards and in the rapid growth of portfolios of energy service companies. This talk will highlight key research that Bath is leading across generation, transmission, distribution to retailing, and areas for potential collaborative with Tsinghua University.

报告2:Coordinated Economic Dispatch for Multi-Area Power Systems via Multi-Parametric Programming

Dr. Ye Guo, Tsinghua University

The problem of coordinated multi-area economic dispatch is considered. A method based on the multi-parametric quadratic programming is proposed in which the local economic dispatch in each area is solved with interchange power flows as parameters, and the coordinator optimizes these parameters to minimize the overall cost. Both theoretical analysis and numerical tests have shown that the proposed method can converge to the optimum solution to the overall economic dispatch problem within a finite number of iterations.

报告3:Uncertainty modelling for restructured power systems

Dr. Rohit Bhakar, University of Bath

The transition towards restructured power systems has made decision making more challenging, as the decisions are not only affected by uncertain market conditions, but also by unpredictable competitor behaviour and intermittent renewable generation. In an uncertain market scenario, players can make an informed decision, with a consideration of uncertainty or risk associated with each decision. This is in contrast to point decision making existing today.

This talk provides an insight to portfolio optimization of generator asset allocation in different trades to control the risk associated with each trade. The generator is considered to face uncertainties of electricity, fuel and emission markets. Though the present talk focuses on generator asset allocation, but opens up new opportunities for various other decision making problems in uncertain power systems, for future collaborative work.

报告4:Pool Equilibria Including Strategic Storage Systems

Mr. Peng Zou, Tsinghua University

With a rapid increase in capacity, energy storage systems (ESSs) might take up a significant share in the generation mix, and would be required to participate in the electricity market. Considering the specific operation characteristics of ESSs, their arbitrage behaviors would be remarkably different from those of the conventional generators, impacting the market equilibrium. These impacts would vary with the types of ESSs and the generation mix.This paper formulates a multi-period market equilibrium problem with equilibrium constraints (EPEC) to study the strategic behaviors of different types of ESSs and their impacts on the market equilibrium, assuming that ESSs behave as price-makers instead of price-takers. The EPEC model is established within a generalized framework, which considers the individual profit-maximization behaviors of different kinds of ESSs and generators. Interactions between different generators and the market operator are also formulated. Finally, numerical examples based on a modified IEEE 57-node system are performed for illustration and validation.

报告5:Smart Metering Consumer Analysis and New Business Models for Distributed System Operator

Dr. Ran Li, University of Bath

Both Energy Internet and Smart Grid aim to accommodate the increasing number of low carbon technologies (LCTs) in an intelligent manner. One of the key differences is the emphasis of consumers’ participation. The scope of customer participation is twofold: i) with the development of information technology, customer data become available to support more efficient activities within the power systems. In turn, system conditions and decisions can also pass to consumers to guide their behaviors. Such virtual bi-directional data flow is essential for Energy Internet and can provide actionable knowledge for the real bi-directional power flow in a smart grid. ii) the information exchange between customers will lead to energy exchange. Such community energy market will see a win-win situation where customers will benefit from cheap local energy and system will face less pressure from LCTs. The development of a flourishing community energy market will substantially depend on a successful business model

This talk will thus focus on these two topics: i) big data analytics for energy consumers; and ii) new business model for distribution network operators. It will firstly introduce the challenges from smart meters and traditional business models for DNOs, followed by the limitations of traditional methods. This talk will demonstrate data-based research on consumers’ clustering classification, and behavior analysis, and our initial research plan on new business model for DSO.