The increasing connection of distributed generators to distribution network have greatly impacted on the performance peculiarity of both power source and electric load. In order to coordinate the operation between source and load, a demand side management operation strategy is discussed in this paper, based on the technical characteristics of active distribution network and differential electricity costs. First, the method for computing differential electricity costs is studied.Then the strategy of spot power pricing based on rolling correction of expected load rate is presented through exploring the response characteristics of load-price, in order to achieve load rate regulation using spot power price. At the same time, taking into account the existence of load rate exceeding the expected load rate rage caused by the failure of spot power price regulation, this paper developed the load rate prevention control strategy based on adjustable loads and the load rate correction control strategy based on interruptible loads. Both strategies employ the control ability of adjustable load and interruptible load, which results in the power supply agreements with differential electricity costs. At last, the feasibility of the proposed operation strategies is demonstrated by digital simulation. Simulation results indicate that those strategies could keep the load rate operating within the expected range, smooth the fluctuation of load rate, and realize peak load shifting. In addition, they could provide support for consuming more distributed generators and improve the levels of distribution transformers capacity usage.
[1]
Chen Zhuoya.
The Impact of AMI on the Future Power System
,
2010
.
[2]
Y You.
Research on Optimal Schedule Strategy for Active Distribution Network
,
2014
.
[3]
C. Borges,et al.
Active distribution network integrated planning incorporating distributed generation and load response uncertainties
,
2011,
2012 IEEE Power and Energy Society General Meeting.
[4]
Jarmo Aho,et al.
Active distribution network — Demonstration project ADINE
,
2010,
2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe).
[5]
Su Jian,et al.
Enabling Technologies for Active Distribution Systems
,
2013
.
[6]
Wang Lei,et al.
Transfer Powerr Flow Approach to Topology Error Identification
,
2010
.
[7]
Liu Han.
Research on TOU pricing based on consumer response curve
,
2005
.
[8]
C. Abbey,et al.
Global survey on planning and operation of active distribution networks - Update of CIGRE C6.11 working group activities
,
2009
.
[9]
Pan Fei,et al.
Technology and Its Trends of Active Distribution Network
,
2012
.
[10]
Geza Joos,et al.
Technical and economic assessment of active distribution network technologies
,
2011,
2011 IEEE Power and Energy Society General Meeting.