Abstract
A substation planning method that accounts for the widespread introduction of distributed generators (DGs) in a low-carbon economy is proposed. With the proliferation of DGs, the capacity that DGs contribute to the distribution network has become increasingly important. The capacity of a DG is expressed as a capacity credit (CC) that can be evaluated according to the principle that the reliability index is unchanged before and after the introduction of the DG. A method that employs a weighted Voronoi diagram is proposed for substation planning considering CC. A low-carbon evaluation objective function is added to the substation planning model to evaluate the contribution of DGs to a low-carbon economy. A case study is analyzed to demonstrate the practicality of the proposed method.
Highlights
The development of a low-carbon economy has worldwide consensus and has been accepted by many countries as an important part of their future development strategy
The power output by distributed generators (DGs) can partially supply loads, and the power capacity contributed by DGs to the distribution network cannot be ignored and will affect the planning of substation capacity
To evaluate the effect on the low-carbon economy, two components are added to the objective function: À C4 is the annual variable operation fee, or the increased cost of fossil fuel and CO2 emissions resulting from transmission loss, and C5 is the cost of water and wind spillage due to transmission capacity deficiency, which is measured through the increased indirect cost of fossil fuel and CO2 emissions [11,12,13]
Summary
The development of a low-carbon economy has worldwide consensus and has been accepted by many countries as an important part of their future development strategy. To cope with the requirements of a low-carbon economy, and to help provide a reliable and cost-effective power supply, an increasing number of distributed generators (DGs) have been connected to distribution networks around the world. The power output by DGs can partially supply loads, and the power capacity contributed by DGs to the distribution network cannot be ignored and will affect the planning of substation capacity. The main simulation method is the sequential Monte Carlo method [10] This method describes the temporal output of the distributed power generation and calculates reliability indices of frequency and duration, and is extensively applied. In the process of planning optimization, the CC of a DG is included in the substation capacity This allows a reduction in the capacity of and investment in traditional substations. This train of thought is in line with the principles of a low-carbon economy
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