Abstract
As the distributed energy resource (DER) penetrance increasing, future power system will be more large-scale with much complexity and uncertainty. Taking an active approach, active distribution network (ADN) can deal with future complex and uncertain challenges to some extent. However, too much re-lying on information exchange of each layer, ADN will lack global adaptability and stability. To make up for the deficiency, this paper proposes a new smart grid control and operation concept, namely autonomic power system (APS). Based on goal-directed mechanism, APS obtains global self-adaptive management. Meanwhile, under the concept of distributed coordination and autonomic control, autonomic units (AUs) in APS coordinate each other and make their own autonomic operation. APS takes not only an optimally and co-ordinately active control of power system, but also brings more intelligence with characteristics of self-configuration, self-optimization, self-protection and self-healing, i.e. self-management and overall self-adaption. Thus, APS completes real-time dynamic goals and makes the operation of future power system more intelligent, effective, safe and reliable.
Highlights
As the issue on environment and energy more and more serious, much more distributed energy resource (DER) will be used in power system in the future with more complexity and uncertainty at the same time [1]
Too much re-lying on information exchange of each layer, active distribution network (ADN) will lack global adaptability and stability
To make up for the deficiency, this paper proposes a new smart grid control and operation concept, namely autonomic power system (APS)
Summary
As the issue on environment and energy more and more serious, much more distributed energy resource (DER) will be used in power system in the future with more complexity and uncertainty at the same time [1]. Having made success in autonomic computing system (ACS) [5], it gives new idea in solving real-time decision making in complex system This self-adaptive concept is similar with system of systems (SoS) [6]. The primary challenges of future power system are dealing with complexities of coordinating and managing a large set of diverse system components and functions including distributed generations (DGs), storage devices, system faults and power restoration management, energy brokerage and trading, and consumer demand power management To meet these challenges, it is required to extend the computer science community’s vision of autonomic computing into the electricity network for energy innovation. Some new smart grid concepts are introduced based on autonomic control, such as micro-grid island autonomy [9], autonomous demand area power system (ADAPS) [10], intelligent distributed autonomous power systems (IDAPS) [11], and autonomous regional active network management system (AuRA-NMS) [12]. Part IV concludes the paper and discusses further research perspectives
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