Several modern technologies have been or are currently being developed which are aimed at reducing investments in the traditional grid infrastructure by increasing operational efficiency, making it possible to fully utilize the capacity of the existing power grid infrastructure and leveraging flexibilities in electricity generation and consumption.
Examples of such innovations designed to upgrade electric power grids
3 are modern information and communication technologies as well as advanced power grid components for metering, measurement and control, and automation. Power grids incorporating these new technologies are commonly referred to as smart grids [1].
Smart grid technologies open up many new possibilities in power grid management and control, e. g. the status of distribution grids can be monitored in real-time when sensoring and communication networks are added. With the help of the information gathered, modern automation and control technologies can be employed to supervise and actively control grids increasing their utilization rate and preventing overloads via grid capacity management [1]. Thus, the need for costly grid expansion may be reduced while the stability of the grid and security of supply can be improved [1].
Different sources point to a low level of equipment sophistication in parts of the electric power grid in China, especially at the distribution grid level. In some instances, outdated and inefficient distribution transformers are still in operation [3], [4]. This contributes to a considerable number of supply interruptions, despite the fact that significant advancements have been made in recent years. At the same time, requirements of China’s quickly modernizing industry with regard to power quality are on the rise and cannot be met at all times [5].
China has to cope with increasing air pollution problems [6] and is the world’s largest emitter of carbon dioxide (CO2) [7]. Its power generation sector, which is mainly relying on coal as an energy resource, is responsible for a large share of CO2 emissions.
China’s government also plans to make considerable advancements on the organizational level: a modern energy market system is to be established, market-related reforms in key energy sectors are projected to take place, energy pricing mechanisms are to be improved, and the development towards an internationally competitive environmental and energy industry is to be accelerated [2].
To support accomplishment of the government targets for China’s future electric power system, the government aims at starting to build up smart grids during the next several years. As has been formulated in the 12
th
Five-Year Plan for Energy Development, China’s government aims at promoting the development of smart grids [2]. Also, the Chinese Ministry of Science and Technology (MOST) released a special plan for technological smart grid improvements in 2012 [11].
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Overlapping responsibilities between different government institutions affect the government’s ability to guide and facilitate the development of smart grids [5] [12].
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Compared to the electricity sectors in other countries, the i
nformation and communication technology (ICT) industry, small-sized power generation companies, and other non-established players like prosumers
4 are underrepresented in (smart) grid development planning in China.
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Due to rather low electricity prices, the current tariff system may not offer sufficient incentives for saving electricity or for shifting electricity demands according to available generation and grid capacities [12].
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A lack of sufficient incentives for grid integration of RES within the existing regulatory framework persists [13].
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Similar to all other countries aiming at developing smart grids, some of the key smart grid technologies in China are not yet fully developed and some equipment specifications and standards are still inconsistent [3], [4], [14].
Smart grids follow an evolutionary pathway and their realization depends on the status quo of the existing grid infrastructure. Therefore, this study contains a detailed description of China’s and Germany’s electric power systems, their most pressing technological challenges, and their regulatory environments. Based on these descriptions, both countries’ specific technological views on smart grids are presented.
Regulatory smart grid pathways designed to meet the specific challenges in China are presented subsequently. The pathways include dedicated recommendations that are based on regulatory best practices from Germany and other countries. The recommendations build upon the current situation in China proposing achievable changes to the regulatory framework and relevant policies to promote smart grid development in China.
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Chapter 2 presents the conceptual framework of the study. The chapter also introduces the so-called
energy policy triangle covering the three main energy policy goals reliability, affordability, and sustainability. Fundamental premises highlighting the importance of smart grids and explaining the role of the government in the smart grid development process are presented as well. The chapter also discusses the importance of electric power markets and third parties, i. e. new participants in the value chain of the electric power sector, for smart grids.
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Chapter 3 presents China’s electric power system, its recent historical development, its regulation, government targets for China’s future electric power system, and the role of smart grids in this context. A clear focus is placed on technological and regulatory challenges for China’s electric power system.
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Chapter 4 contains a description of the German situation focusing on lessons learned and sharing the German experience (corresponding to challenges presented in
Chap. 3).
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Chapter 5 presents recommendations designed to meet the specific challenges in China. Where appropriate, the recommendations refer to best practices from Germany.
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Chapter 6 presents three different regulatory pathways (roadmaps) each focusing on a different objective of the energy policy triangle. This offers policy makers an insight of the effects different policy priorities may have on the implementation sequence of the study’s recommendations.
Open Access This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.