The essential technical characteristics of the SG are: the two-way flow of electricity and information in order to establish a highly automatic and widely distributed energy exchange network; and the utilization of distributed computation, communication, and Internet within power grids in order to realize the real-time exchange of information and a near-instantaneous balance between power demand and supply at the device level. The following four features are important in this regard.
Because of the wide integration of DERs, the power flow of each line of the power grid (including the transmission and distribution grids) is likely to be bidirectional and time-varying. Hence, to maximize the potential benefit of the SG, the topology of the distribution grid should be flexible and reconfigurable. In addition, it should use flexible alternating current (AC) and direct current (DC) power transmission and distribution devices, as well as other electronic power devices such as the intelligent universal transformer (IUT), which is a type of energy router that is regarded as the cornerstone of smart distribution grids. Furthermore, where there is electricity, there is a reliable two-way communication network. From the sensors and intelligent agents in the basic layer, the energy grid and the information and communication network are deeply integrated.
DERs include distributed generation, distributed energy storage, and demand response. Among these, solar power, wind power, and demand response are distributed according to natural geography. With regard to demand response, the electricity consumption of end-users may change with the retail price of electricity, or decrease when the electricity price in the retail electricity market is high or the power grid is insecure. The following observations are thus worthy of note.
(1) As distributed generation is close to the power load, power and energy can be balanced on-site in order to reduce the investment requirement, network loss, and operation and maintenance cost of the grid. In addition, with the increasing price of traditional power, the cost of photovoltaic (PV) devices decreases rapidly, and is accompanied by a gradual reduction of the cost of distributed energy storage. At the same time, the utilization efficiency of the distributed energy system, such as the combined heat and power (CHP), may increase to higher than 80%. All these factors indicate that parity between the cost of distributed generation and the retail price is within sight. At the same time, distributed generation can be used to improve the reliability of consumer service and strengthen the security of the power grid. Consequently, the vast majority of studies on the development and implementation of the SG worldwide have focused on the “distributed.”
Indeed, studies conducted at Tianjin University have shown that in present-day China, the total social cost of a “distributed PV+ active distribution” scheme (i.e., distributed PV stations without energy storage, locally integrated into an active distribution grid) has fallen below the total social cost of a “large-scale base of centralized renewable generation+ long-distance transmission” scheme (i.e., a large-scale base with a combination of wind power and thermal power, integrated into a bulk power system at a load center through a±800 kV ultra high voltage (UHV) DC 2000 km long-distance transmission line).
Hence, the development of a future power grid is faced with the challenge of dealing with tens of millions of distributed power resources with intermittency, variability, and uncertainty, while ensuring the security and reliability of the power grid, human and equipment safety, and market viability.
(2) Studies have revealed the presence of a significant shiftable load in the time coordinate in a power grid, and that such a load, like a virtual power resource, is a favorable measure for reducing the peak load and filling the valley load in order to improve asset utilization and power generation efficiency, and reduce grid losses. This measure enables the achievement of a near-instantaneous balance between power supply and demand at the device level. For example, demand response and load control can be used to compensate for the intermittency, variability, and uncertainty of solar and wind power. This represents a revolutionary change compared to the constraints of a traditional power grid, which requires strictly imposed generation to meet the load demand at any time. In facilitating demand response and load control, the SG would employ advanced metering infrastructure (AMI), plug-and-play technology, and an advanced power market. The control and management of the load and power distribution would be comprehensively taken into account.
(3) Plug-in hybrid electric vehicles (PHEVs) and vehicle-to-grid (V2G) technology have the double attributes of being both a load and a source, and their charging power and energy storage are very large. In addition, compared with distributed PV and wind power, the location and capacity of these electric vehicles have a higher uncertainty. On one hand, as a new type of load, the integration of many electric vehicles significantly increases the load and complicates the load characteristics of distribution grids, thus presenting challenges to the planning and operation of the future power grid. On the other hand, as a type of energy storage device, electric vehicles are important potential control measures for reducing the peak load and filling the valley load, for frequency regulation, and so on. For this purpose, the SG should provide electric vehicles with a plug-and-play platform, including advanced market and novel technology support.
In addition to electric vehicles, distributed energy storage can be used in many aspects of distribution grids, for increasing operation reliability, improving power quality, enhancing the ability to accommodate renewable resources, and so on. The SG will provide the basic platform for the interaction and coordinated control between distributed energy storage and distribution grids.
It is gratifying that the innovative process of the new distributed energy storage technology is developing rapidly in recent years, and is expected to break through the bottleneck of the high cost of energy storage.
(1) Power infrastructures that were built before the age of the microprocessor were based on centralized planning and control, which significantly limited the flexibility of the power grid, and also reduced the efficiency, security, and reliability. Furthermore, because the number of DERs will be huge and DER outputs are difficult to forecast, the traditional centralized control mode will be unable to adapt. Consequently, the smart distribution grid will be a distributed intelligent infrastructure.
As shown in Figure 1, a smart distribution grid is divided into several cells. The exchange power in the normal operation between two cells can be scheduled according to the schedule. Each cell incorporates several intelligent network agents (INAs) such as relay protection devices and DERs, which are interconnected through the cell communication network. The INAs collect and exchange system information, make independent decisions regarding local control such as relay protection by themselves, and coordinate decisions such as voltage control, reactive power optimization by itself, and network reconfiguration through the distribution fast simulation and modeling (DFSM) of each cell. There are also communication links among cells, thus each cell can make independent decisions and the operation center of the distribution grid with DFSM coordinates the decision-making between cells. Furthermore, the dispatching center of a transmission grid and the operation centers of distribution grids supplied by the transmission grid are linked through the communication network. The dispatching center of the transmission grid with transmission fast simulation and modeling (TFSM) enables coordinated decision-making based on the regional system requirements, and hence smart control across organizational and geographical boundaries. The entire grid is thus self-healing and resilient.
(2) The resilience of the system includes the ability to withstand and recover from deliberate attacks, accidents, or naturally occurring threats or incidents. This requires a major change in our perspective on the system, as well as in how it is structured and how complex interactive networks are operated. The distributed intelligence infrastructure shown in Figure 1 can be used to adequately deal with the disturbances mentioned above. For example, in an emergency, the infrastructure enables the adaptive isolated island operation of the corresponding cell, and the rapid restoration of the entire grid to normal operation. This can enhance grid resilience and minimize the impact of power failure.
(3) The structures and control strategies of smart distribution grids must satisfy the following two basic requirements, which are beyond the capability of the traditional grids used today:
• Comprehensively considerate both end-user control and overall control of the distribution grid. The end-user system comprises distributed generation, distributed energy storage, power conditioning equipment, reactive power compensation devices, and energy management systems. The control of all these devices and processes must be incorporated into the control of distribution grids in order to systematically achieve the best possible performance, security, and power quality.
• Support access of the high penetration of DERs.
(4) A cell, as shown in Figure 1, may become a so-called “smart microgrid” or involve many smart microgrids. The smart microgrid is an integrated system that is used to meet the energy demand of a group of users (such as a small community or town) or a single user (such as a university, building, or enterprise). The key difference between a microgrid and distributed generation is that the former is capable of coordinated control in an island containing several energy sources. Under normal operation, the intermittency, variability, and uncertainty of renewable energy sources in a microgrid can be internally compensated. Thus, the power flow through the tieline between a microgrid and a bulk grid can be maintained at almost a constant level, which is helpful for the secure operation of the whole power grid. Therefore, the microgrid is regarded as a “good citizen” and more and more microgrids are expected to appear in future grids. Research should pay more attention to the cost reduction of microgrids.
The information technology used for the operation of a smart transmission grid is the same as that used for the operation of a smart distribution grid. In essence, the lifeblood of any SG is the data and information used by its applications, enabling the development of new and improved operation strategies. The data collected from any layer of the power system, including user consumption, distribution, transmission, generation, and power market, may be linked and used to improve the operation of another layer. The real-time and timely exchange of data among stakeholders is thus the basic feature of the SG.